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Digital Poster - Contrast Mechanisms
Weekend and Oral

Digital Poster (no CME credit)

Online Gather.town Pitches (no CME credit)

ISMRT Educational Session

ISMRT Poster Presentations (no CME credit)

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Contrast Mechanisms Digital Poster (No CME Credit)
Session Title

Diffusion Analysis, Tractography & Microstructure I

Program # 870 - 880
Monday, 09 May 2022 | 09:15

Diffusion Analysis, Tractography & Microstructure II

Program # 975 - 987
Monday, 09 May 2022 | 10:15

Hyperpolarization

Program # 1062 - 1072
Monday, 09 May 2022 | 14:45

MRS, EPR & Hyperpolarization I

Program # 1073 - 1084
Monday, 09 May 2022 | 14:45

Hyperpolarization (129 Xe)

Program # 1167 - 1178
Monday, 09 May 2022 | 15:45

MRS, EPR & Hyperpolarization II

Program # 1179 - 1192
Monday, 09 May 2022 | 15:45

23Na

Program # 1274 - 1286
Monday, 09 May 2022 | 17:00

2H & Other Non-Protons

Program # 1351 - 1366
Monday, 09 May 2022 | 18:00

Contrast Agents

Program # 1439 - 1443
Tuesday, 10 May 2022 | 09:15

Novel & Multiple Contrast Techniques

Program # 1523 - 1534
Tuesday, 10 May 2022 | 10:15

Diffusion Artifacts, Acquisition & Applications I

Program # 1622 - 1631
Tuesday, 10 May 2022 | 14:30

Diffusion Artifacts, Acquisition & Applications II

Program # 1717 - 1730
Tuesday, 10 May 2022 | 15:30

MRS & Hyperpolarization I

Program # 1797 - 1805
Tuesday, 10 May 2022 | 16:45

MRS & Hyperpolarization II

Program # 1883 - 1894
Tuesday, 10 May 2022 | 17:45

Molecular

Program # 1988 - 1998
Wednesday, 11 May 2022 | 09:15

CEST

Program # 2073 - 2088
Wednesday, 11 May 2022 | 10:15

Fat & Thermometry

Program # 2165 - 2176
Wednesday, 11 May 2022 | 14:30

Elastography

Program # 2236 - 2252
Wednesday, 11 May 2022 | 15:30

Susceptibility I

Program # 2361 - 2371
Wednesday, 11 May 2022 | 16:45

Susceptibility II

Program # 2456 - 2468
Wednesday, 11 May 2022 | 17:45

Spectroscopy I

Program # 2533 - 2544
Thursday, 12 May 2022 | 09:15

Relaxometry

Program # 2851 - 2863
Thursday, 12 May 2022 | 09:15

Electromagnetic Properties & Oximetry

Program # 2910 - 2923
Thursday, 12 May 2022 | 09:15

Spectroscopy II

Program # 2610 - 2621
Thursday, 12 May 2022 | 10:15

MT & CEST

Program # 2705 - 2720
Thursday, 12 May 2022 | 14:45

CEST: Cancer

Program # 2799 - 2806
Thursday, 12 May 2022 | 15:45

Diffusion Analysis, Tractography & Microstructure I

Exhibition Hall:S8 & S9
Monday 9:15 - 10:15
Contrast Mechanisms
Module : Module 16: Diffusion

870
Computer 95
Efficient Mapping of Diffusion Tensor Distribution in a Live Human Brain
Kulam Najmudeen Magdoom1,2,3, Alexandru V. Avram1,2,3, Dario Gasbarra4, Thomas Witzel5, Susie Y Huang5, and Peter J. Basser1,3

1Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Healt, Bethesda, MD, United States, 2The Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, United States, 3Center for Neuroscience and Regenerative Medicine, Uniformed Services University of Health Sciences, Bethesda, MD, United States, 4University of Helsinki, Helsinki, Finland, 5Athinoula A. Martinos Center for Biomedical Imaging, Boston, MA, United States

Electron microscopy of nervous tissue reveals a multitude of compartments separated by plasma membranes where the diffusion of water may be hindered. Diffusion tensor distribution (DTD) MRI assumes each voxel consists of an ensemble of diffusion tensors described by a tensor variate probability distribution function in line with the EM observed microstructure. In this study, we show in vivo results obtained in the living human brain using a new DTD framework on the Connectome scanner using 300 mT/m gradients and a novel time efficient and concomitant field free pulse sequence which allowed shorter echo time for a given b-value.

871
Computer 96
Quasi-Diffusion Imaging: A model-based alternative to Diffusional Kurtosis Imaging
Thomas R Barrick1, Catherine A Spilling1,2, Ian R Storey1, Matt G Hall3,4, and Franklyn A Howe1

1St George's, University of London, London, United Kingdom, 2King's College London, London, United Kingdom, 3National Physical Laboratory, London, United Kingdom, 4University College London, London, United Kingdom

Quasi-Diffusion Imaging (QDI) is based on a model of diffusion dynamics that assumes diffusion is locally Gaussian within a heterogeneous tissue microstructural environment. We show here that QDI provides a compelling model-based alternative to Diffusional Kurtosis Imaging (DKI). Tensor measures determined by QDI are highly correlated with DKI, but exhibit greater parameter independence, indicating that DKI study results showing sensitivity and specificity to disease could be improved using QDI. As QDI also overcomes the limitations of DKI and can be acquired reproducibly in clinically feasible time it is a non-Gaussian diffusion imaging technique that overcomes barriers to clinical translation.  

872
Computer 97
On the anisotropy of IVIM-derived microvascular cerebral pseudo-diffusion: a physics-informed neural network approach
Paulien H.M. Voorter1,2, Jacobus F.A. Jansen1,2,3, Merel M. van der Thiel1,2, Julie Staals4,5, Robert-Jan van Oostenbrugge2,4,5, Maud van Dinther4,5, Walter H. Backes1,2,5, and Gerhard S. Drenthen1,2

1Department of Radiology & Nuclear Medicine, Maastricht University Medical Center, Maastricht, Netherlands, 2School for Mental Health & Neuroscience, Maastricht University, Maastricht, Netherlands, 3Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands, 4Department of Neurology, Maastricht University Medical Center, Maastricht, Netherlands, 5School for Cardiovascular Disease, Maastricht University, Maastricht, Netherlands

Acquisition of intravoxel incoherent motion (IVIM) images with diffusion sensitization in at least six directions (IVIM tensor imaging) provides the unique opportunity to non-invasively measure the anisotropy of both the parenchymal and microvascular diffusivity (D and D*). We demonstrate the feasibility of whole-brain IVIM tensor analysis by utilizing a physics-informed neural network fitting approach to achieve more accurate assessment of D, D*, and the corresponding tensors. The fractional anisotropy of D* (FA(D*)) was explored for different brain tissue regions, which revealed lower FA(D*) in cortical gray matter and higher FA(D*) in deep gray matter compared to white matter.

873
Computer 98
Optimal b-value sampling for interstitial fluid estimation in cerebral IVIM imaging, a genetic algorithm approach
Gerhard S Drenthen1,2, Jacobus FA Jansen1,2, Merel M van der Thiel1,2, Paulien HM Voorter1,2, and Walter H Backes1,2

1School for Mental Health & Neuroscience, Maastricht University, Maastricht, Netherlands, 2Department of Radiology & Nuclear Medicine, Maastricht University Medical Center, Maastricht, Netherlands

Besides the parenchymal diffusion and microvascular pseudo-diffusion, a third diffusion component was previously found in cerebral intravoxel incoherent motion (IVIM), representing interstitial fluid. However, estimating this intermediate IVIM component can be challenging, since spectral decomposition techniques have strong dependence on the number of samples (i.e. acquired b-values) and SNR. Therefore, it is important to know which b-values are essential to be acquired. In this study, an optimal b-value sampling for estimating the intermediate component is derived using a genetic algorithm. The optimal sampling (0,20,100,270,280,370,540,650,660,710,720,790,980,990,1000 s/mm2) was shown to outperform linear and logarithmic samplings, for both simulated and in vivo data. 

874
Computer 99
Joint estimation of T2 and diffusion tensor from DW-SSFP using EPG
Julien Lamy1, Mathieu Santin2, and Paulo Loureiro de Sousa1

1ICube, Université de Strasbourg-CNRS, Strasbourg, France, 2Institut du Cerveau, Paris, France

The DW-SSFP sequence is useful to attain strong diffusion-weighting on clinical systems while keeping a short repetition time. However, its analytical model does not account for the echo time. Using a 3D EPG model, we show that the echo time plays an important role, and that it cannot be neglected. We then provide a new method to jointly estimate T2 and the diffusion tensor on an ex-vivo fetal brain at 3 T.


875
Computer 100
MR measurement of the mean-position distribution
Alfredo Ordinola1 and Evren Özarslan1

1Department of Biomedical Engineering, Linköping University, Linköping, Sweden

The distribution of net displacements, commonly referred to as the ensemble average propagator, has been measured using Stejskal-Tanner experiments. Here, a recently introduced diffusion sensitization method is employed in a similar manner to obtain the distribution of mean positions. By utilizing the two schemes synergistically, low b-value measurements are employed to decouple dynamic second moments from static ones. We illustrate our findings on an excised mouse spinal cord imaged using a benchtop MRI scanner.

876
Computer 101
Resolving heterogeneous crossing fibers with Adaptive modelling and Generalized Richardson Lucy spherical deconvolution (AGRL)
Alberto De Luca1,2, Alexander Leemans2, Chantal MW Tax2,3, Kurt G Schilling4, and Geert-Jan Biessels1

1Neurology Department, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, Netherlands, 2Image Sciences Institute, University Medical Center Utrecht, Utrecht, Netherlands, 3Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, United Kingdom, 4Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, United States

We evaluate the benefits of shifting from a global white matter (WM) model to an adaptive (voxel-wise) model in the Generalized Richardson Lucy (GRL) framework. Using simulations, we show that GRL with an adaptive model (AGRL) could resolve crossing fiber configurations with heterogeneous properties, whereas conventional GRL did not. In in-vivo data, AGRL simultaneously used different deconvolution models. Compared to GRL, fiber orientation distributions of AGRL showed remarkable angular differences, especially for the second and third peak. Tractography with AGRL resulted in a more extensive reconstruction of the arcuate fasciculus, suggesting adaptive modelling as a promising future direction.

877
Computer 102
Does One Size Fit All? Reconstructing Crossing Fibers in Diffusion MRI using Spherical Deconvolution with Local Response Functions
Cornelius Eichner1, Michael Paquette1, Hannah Gerbeth1, Carsten Jäger2, Christian Bock3, Guillermo Gallardo1, Torsten Möller4, Catherine Crockford5,6, Roman Wittig6, Nikolaus Weiskopf2,7, Angela D Friederici1, and Alfred Anwander1

1Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 2Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 3Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany, 4Kolmården Wildlife Park, Norrköping, Sweden, 5CNRS Institute of Cognitive Sciences, Lyon, France, 6Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany, 7Felix Bloch Institute for Solid State Physics, Faculty of Physics and Earth Sciences, Leipzig University, Leipzig, Germany

We present Local Spherical Deconvolution (LSD), a diffusion MRI deconvolution method to reconstruct crossing fiber directions in the brain. In contrast to previous approaches which assumed a single deconvolution kernel for the entire brain, LSD utilizes information theory to identify an optimal kernel in each image voxel. Using a high-resolution post-mortem chimpanzee brain, we show that fibers are reconstructed with LSD with increased precision and a reduced number of false peaks compared to conventional methods. A test-retest analysis supports the stability and accuracy of LSD.

878
Computer 103
BundleAtlasing: unbiased population-specific atlasing of bundles in streamline space
David Romero-Bascones1, Bramsh Qamar Chandio2, Shreyas Fadnavis2, Jong Sung Park2, Serge Koudoro2, Unai Ayala1, Maitane Barrenechea1, and Eleftherios Garyfallidis2

1Biomedical Engineering Department, Mondragon Unibertsitatea, Mondragón, Spain, 2Department of Intelligent Systems Engineering, Indiana University Bloomington, Bloomington, IN, United States

White matter bundle atlases play a crucial role in the segmentation of bundles and the understanding of brain connectomes. However, the construction of streamline atlases that accurately represent the underlying population anatomy is challenging. In this work, we present BundleAtlasing, a new method to compute population-specific bundle atlases in the space of streamlines. The proposed approach is based on two key aspects: an iterative groupwise unbiased bundle registration, and a pairwise bundle combination strategy. We show that our method is able to correctly generate unbiased atlases that represent the average group anatomy of a population.

879
Computer 104
Testing the feasibility and effectiveness of bundle-based global tractography (bundle-o-graphy) in real human brain data
Matteo Battocchio1,2, Simona Schiavi1,3, Maxime Descoteaux2, and Alessandro Daducci1

1University of Verona, Verona, Italy, 2University of Sherbrooke, Sherbrooke, QC, Canada, 3Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy

We introduce a new formulation for bundle-based tractography global reconstruction (bundle-o-graphy). The idea is to move the focus from streamlines to bundle-based reconstruction thanks to a convenient reduction in the number of parameters needed to be optimized and the injection of anatomical priors. We show the potential of our approach on both synthetic and real data.

880
Computer 105
A new framework to build high quality tractography-based DWI brain templates using COMMIT
Richard Stones1, Ahmad Beyh1,2, Rachel Barrett1, Alessandro Daducci3, and Flavio Dell'Acqua1

1Natbrainlab, King's College London, London, United Kingdom, 2University College London, London, United Kingdom, 3Universita di Verona, Verona, Italy

In this study we present a novel method for building high quality tractography-based DWI brain templates. We use streamline normalisation to obtain the correct anatomical fibre orientation information in template space and then regenerate the diffusion signal using the COMMIT framework. The template fODF field and tractography reconstructions show good anatomical agreement with well known white matter structures. This framework could provide new templates, atlases and tools for normalisation of DWI data, and simplify the creation of realistic DWI phantoms.


Diffusion Analysis, Tractography & Microstructure II

Exhibition Hall:S8 & S9
Monday 10:15 - 11:15
Contrast Mechanisms
Module : Module 16: Diffusion

975
Computer 95
Effects of exchange on spherical vs. linear diffusion tensor encodings: A simulation study
Jonathan Scharff Nielsen1 and Manisha Aggarwal1

1Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States

To investigate the influence of exchange on microscopic anisotropy estimates derived from kurtosis differences between linear-tensor-encoding (LTE) and spherical-tensor-encoding (STE) diffusion weighting waveforms, random walk simulations were performed in a substrate of packed spheres of varying permeability. A pronounced μFA bias was observed with spectrally detuned LTE due to restricted diffusion and kurtosis time dependence, decreasing with rate of exchange, but also with tuned LTE due to inherent differences in exchange sensitivity, increasing with exchange. Our results suggest a need for caution in interpreting MDE-derived microscopic anisotropy estimates in the presence of exchange.

976
Computer 96
Characterisation of restricted diffusion and exchange using the velocity autocorrelation function
Arthur Chakwizira1, Samo Lasič2, Alexis Reymbaut3, Carl-Fredrik Westin4, Filip Szczepankiewicz5, and Markus Nilsson5

1Medical Radiation Physics, Lund, Lund University, Lund, Sweden, 2Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital, Amager and Hvidovre, Copenhagen, Denmark, 3Random Walk Imaging, AB, Lund, Sweden, 4Department of Radiology, Brigham and Women's hospital, Harvard Medical School, Boston, MA, United States, 5Clinical Sciences Lund, Lund University, Lund, Sweden

Temporal velocity correlations of diffusing particles carry information about the structure of the diffusion environment. Studying high-order velocity autocorrelation functions can aid in understanding how signal is influenced by restricted diffusion and exchange, and in turn how to design experiments that are sensitive/independent to these phenomena. In this work, we employ numerical simulations on a variety of substrates to demonstrate this notion. We find that the fourth order velocity autocorrelation bears a distinctive signature of exchanging systems. In addition, we highlight that the effect of exchange on the second order velocity autocorrelation is negligible when exchange is barrier-limited.

977
Computer 97
High Resolution Ex Vivo Diffusion Tensor Distribution MRI of Neural Tissue
Kulam Najmudeen Magdoom1,2,3, Michal E. Komlosh1,2,3, Saleem Kadharbatcha1,3, Dario Gasbarra4, and Peter J. Basser2,3

1The Henry M. Jackson Foundation for the Advancement of Military Medicine (HJF) Inc.,, Bethesda, MD, United States, 2Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Healt, Bethesda, MD, United States, 3Center for Neuroscience and Regenerative Medicine, Uniformed Services University of Health Sciences, Bethesda, MD, United States, 4University of Helsinki, Helsinki, Finland

Neural tissue microstructure plays a key role in developmental, physiological, and pathophysiological processes. Diffusion tensor distribution (DTD) MRI is a promising approach to resolve sub-voxel microstructural features using multiple diffusion encodings. In this study, we have applied a novel DTD framework and pulse sequence to investigate its capabilities in revealing neural tissue microstructure. We present high resolution data acquired using an excised visual cortex and cervical spinal cord of a macaque monkey. The results show DTD MRI untangles size, shape and orientation heterogeneity within a voxel and parcellates tissue consistent with histological findings.

978
Computer 98
Time-dependent diffusion and kurtosis in the extra-axonal space from 3D electron microscopy substrates of injured rat brain white matter
Ricardo Coronado-Leija1, Hong-Hsi Lee2, Ali Abdollahzadeh3, Jussi Tohka3, Alejandra Sierra3, Els Fieremans1, and Dmitry S Novikov1

1Radiology, New York University School of Medicine, New York, NY, United States, 2Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States, 3University of Eastern Finland, Kuopio, Finland

In this work, we perform Monte Carlo simulations of diffusion in the extra-axonal space segmented from realistic 3D electron microscopy substrates. Simulations in sham and TBI rat brains confirm the universality of the power-law functional form of the axial and radial time-dependent diffusion $$$D^{\parallel,\perp}(t)$$$ and kurtosis $$$K^{\parallel,\perp}(t)$$$. We characterize the changes caused by TBI, finding that the dependence of long-time asysmptote $$$D^{\perp}_\infty$$$ on the extra-axonal volume fraction follows Archie's law. We also validate the theoretically predicted relationship between the power-law tails of $$$D(t)$$$ and $$$K(t)$$$. 


979
Computer 99
Optimised Temporal Diffusion Ratio for Imaging Restricted Diffusion
William Richard Warner1, Andrada Ianus2, Noam Shemesh2, Malwina Molendowska3, Derek Jones3, Flavio Dell'Acqua4, Marco Palombo3,5, and Ivana Drobnjak1

1Computer Science Department, University College London, London, United Kingdom, 2Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal, 3Cardiff University Brain Research Imaging Centre, Cardiff, United Kingdom, 4NatBrainLab, King's College London, London, United Kingdom, 5School of Computer Science and Informatics, Cardiff University, Cardiff, United Kingdom

Temporal Diffusion Ratio (TDR) is a recently proposed dMRI technique, with potential for mapping areas of restricted diffusion. We optimise the TDR diffusion sequences in simulation to provide maximum contrast for a range of restricted structures, finding sequence shapes and the optimal HARDI subset size for calculating TDR. We then demonstrate the results experimentally in-vivo on the human brain, and ex-vivo using a pre-clinical scanner on the mouse brain.

980
Computer 100
Probing complex morphologies at decreasing diffusion times using Diffusion-weighted MR Spectroscopy
Nathalie Just1, Samo Lasič2,3, Ditte Bentsen Christensen4, Julien Valette5, Tim Dyrby2,6, Hartwig Siebner2, and Henrik Lundell2

1Danish Research Center for Magnetic Resonance, Copenhagen University Hospital - Amager and Hvidovre, Hvidovre, Denmark, 2Danish Research Center for Magnetic Resonance, Copenhagen University Hospital Amager and Hvidovre, Hvidovre, Denmark, 3Random Walk Imaging, Lund, Sweden, 4HYPERMAG, DTU, Copenhagen, Denmark, 5MIRCen, Commissariat à l' energie atomique et aux Energies Alternatives, Fontenay-aux-Roses, France, 6Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark

Metabolite diffusion provide the unique ability to study the intracellular environment of specific cell types of the brain. Multiple studies suggest that the diffusivity along dendrites and axons is time dependent due to variations in diameter. We explore the signal due to such effects in Monte Carlo simulations in settings feasible for preclinical PGSE measurements and find that time dependent kurtosis, but not diffusivity provide the most potent source of contrast to this effect. We observe similar effects of intraneuronal NAA diffusion in rat.

981
Computer 101
How to understand diffusion MRI changes in the white matter of Multiple Sclerosis patients?
Ying Liao1, Santiago Coelho1, Wafaa Sweidan1, Jenny Chen1, Dmitry S. Novikov1, and Els Fieremans1

1Radiology, NYU School of Medicine, New York, NY, United States

Conventional diffusion MRI (dMRI) techniques, such as DTI and DKI, are sensitive to pathology but lack specificity. In brain white matter, the “Standard Model” framework of dMRI may provide  specificity to microstructural changes. Generally, clinical dMRI is noisy and limited, making SM estimation challenging. Thus, different constraints and techniques have been introduced to robustly extract SM parametric maps. Here, we employ a large clinical dataset of Multiple Sclerosis patient data (N = 134) and noise propagation experiments to study the sensitivity and specificity of these techniques.

982
Computer 102
Violation of axial-symmetric assumption in DKI and consequences for biophysical parameter estimates across white matter
Jan Malte Oeschger1, Karsten Tabelow2, and Siawoosh Mohammadi1,3

1Institute of Systems Neurosciences, University Medical Center Hamburg-Eppendorf, Hamburg, Germany, 2Weierstrass Institute for Applied Analysis and Stochastics, Berlin, Germany, 3Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany

The recently introduced axial-symmetric DKI framework is less noise sensitive but unable to capture more complex fiber configurations causing an AxDKI inherent bias in those voxels. We found that the parallel and perpendicular kurtosis are most often affected by this inherent bias and that it translates to the AxDKI based biophysical parameters. Bias-free estimation of the biophysical parameters with the AxDKI framework, therefore, is difficult if not impossible at this point. However, the parallel and perpendicular diffusivity and the mean kurtosis were largely bias-free, encouraging use of the AxDKI framework in studies where these parameters are focused on.

983
Computer 103
Test-retest reliability of whole-brain and bundle-level microstructural properties
Timo Roine1,2 and Sila Genc3

1Department of Neuroscience and Biomedical Engineering, Aalto University, Espoo, Finland, 2Turku Brain and Mind Center, University of Turku, Turku, Finland, 3Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, United Kingdom

We investigated the test-retest reliability of  bundle- and voxel-/fixel-level microstructural metrics with fixel-based analysis, neurite orientation dispersion and density imaging, and diffusion tensor imaging. For the bundle-level analyses, TractSeg was used to automatically segment 72 fiber bundles of the brain. Our results indicate that most of the metrics, especially those measured with fixel-based analysis, are highly robust and show excellent test-retest reliability both in local and bundle-level analyses. In general, the reproducibility was higher in the white matter in contrast to gray matter and for acquisitions with multi-shell compared to single-shell data.

984
Computer 104
Diffusion dispersion and microscopic fractional anisotropy reveal acute sensitivity to mild traumatic brain injury in a mouse model
Naila Rahman1,2, Kathy Xu2, Arthur Brown2,3, and Corey Baron1,2

1Medical Biophysics, Western University, London, ON, Canada, 2Robarts Research Institute, London, ON, Canada, 3Anatomy and Cell Biology, Western University, London, ON, Canada

Imaging markers of mild to moderate concussion are notoriously difficult to detect in vivo. Advanced diffusion MRI (dMRI) techniques have shown increased sensitivity and specificity to microstructural changes in various disease and injury models. Oscillating gradient spin-echo (OGSE) dMRI is sensitive to structural disorder and microscopic anisotropy (µA) dMRI is sensitive to water diffusion anisotropy independent of neuron fiber orientation. In this work, we demonstrate that both microscopic fractional anisotropy and diffusion dispersion show acute sensitivity to concussion, while traditional diffusion MRI markers do not.

985
Computer 105
Predicting the arithmetic mean radius from the MRI-visible axon radius
Laurin Mordhorst1, Mohammad Ashtarayeh1, Maria Morozova2,3, Sebastian Papazoglou1, Björn Fricke1, Tobias Streubel1,2, Carsten Jäger2, Henriette Rusch3, Ludger Starke4, Thomas Gladytz4, Ehsan Tasbihi4, Thoralf Niendorf4,5, Nikolaus Weiskopf2,6, Markus Morawski2,3, and Siawoosh Mohammadi1,2

1Institute of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany, 2Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 3Paul Flechsig Institute of Brain Research, University of Leipzig, Leipzig, Germany, 4Berlin Ultrahigh Field Facility, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany, 5Experimental and Clinical Research Center, a joint cooperation between the Charité Medical Faculty and the Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany, 6Felix Bloch Institute for Solid State Physics, Faculty of Physics and Earth Sciences, Leipzig, Germany

The axon radius is a main determinant of the conduction velocity of action potentials. Robust, MRI-based axon radius estimation is sensitive to a tail-weighted estimate of the ensemble-average axon radius, i.e., the effective axon radius ($$$r_{\text{eff}}$$$). It is unclear how $$$r_{\text{eff}}$$$ translates into the arithmetic mean axon radius ($$$r_{\text{arith}}$$$), which may be more indicative of the conduction velocity than $$$r_{\text{eff}}$$$. We investigate the feasibility to predict $$$r_{\text{arith}}$$$ from $$$r_{\text{eff}}$$$ using linear regression on high-resolution, large-scale light-microscopy images of a human corpus callosum sample and validate this linear relationship with microscopy and diffusion-weighted MRI images of another human corpus callosum sample.

986
Computer 106
On Measuring the Pore Distribution Function and the Occurrence of Signal Peaks When Utilizing Long Diffusion Gradients
Christoph Martin Stuprich1, Tristan Anselm Kuder2, Bernhard Hensel3, Michael Uder1, and Frederik Bernd Laun1

1Radiology, University Hospital Erlangen, Friedrich Alexander University Erlangen, Erlangen, Germany, 2German Cancer Research Center(DKFZ) Heidelberg, Heidelberg, Germany, 3Friedrich Alexander University Erlangen, Erlangen, Germany

In Diffusion MR, short gradient pulses are often ascribed to generate oscillating signal curves. These characteristic oscillations or “peaks” appear if a certain characteristic length-scale in the underlying tissue is present. Mitra and Halperin mention the possibility of “Bragg Peaks” when using long gradient pulses. In this work we explicitly show and interpret the occurrence of such signal peaks under application of long gradient pulses in theory and simulation.

987
Computer 107
VERDICT MRI for estimation of intracellular volume fraction and cell radius: comparison with histology in a mouse model of neuroendocrine tumor
Lukas Lundholm1, Mikael Montelius1, Oscar Jalnefjord1,2, Eva Forssell-Aronsson1,2, and Maria Ljungberg1,2

1Medical Radiation Sciences, University of Gothenburg, Gothenburg, Sweden, 2Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Gothenburg, Sweden

VERDICT MRI provides estimates of intracellular volume fraction and cell radius non-invasively which may facilitate e.g., tumor grade classification and longitudinal studies without the need for biopsy. Tumors of a human SI-NET animal model were irradiated and measured with diffusion MRI. Colormaps of cell radius index and intracellular fraction were derived from both VERDICT analysis of the MR data and histological analysis of stained tumor slices. VERDICT maps of intracellular fraction corresponded well with histology in necrotic tissue, however the cell radius index was poorly estimated in these regions. Further work is needed to optimize VERDICT for different tissue types.


Hyperpolarization

Exhibition Hall:S8 & S9
Monday 14:45 - 15:45
Contrast Mechanisms
Module : Module 7: Spectroscopy & Hyperpolarization

1062
Computer 69
Triple Multinuclear Probe: Expanding the Throughput and Versatility of a dDNP Polarizer
Thanh Phong Lê1,2, Emma Wiström2, Jean-Noël Hyacinthe1, and Andrea Capozzi2,3

1Geneva School of Health Sciences, HES-SO University of Applied Sciences and Arts Western Switzerland, Geneva, Switzerland, 2Laboratory of Functional and Metabolic Imaging, EPFL (Swiss Federal Institute of Technology in Lausanne), Lausanne, Switzerland, 3Department of Health Technology, Center for Hyperpolarization in Magnetic Resonance, Technical University of Denmark, Kgs Lyngby, Denmark

Low throughput is one of dDNP main shortcomings. Here, we present the design and performance of a triple DNP probe, which not only allows multiple samples to be hyperpolarized simultaneously, but also to distinctly monitor the solid-state polarization of each sample, even when prepared with different nuclei and radicals. This versatile high throughput probe allows parallel solid-state sample characterization, as well as sequential injections of distinct tracers to probe multiple biomarkers, thus enabling more advanced in-vivo experimental designs.

1063
Computer 70
Lactate excitation limits bicarbonate detection in hyperpolarized pyruvate MRI of the brain
Nikolaj Bøgh1, Camilla W Rasmussen1, Lotte B Bertelsen1, Esben SS Hansen1, and Christoffer Laustsen1

1Aarhus University, Aarhus, Denmark

In hyperpolarized [1-13C]pyruvate MRI of the brain, pyruvate-to-bicarbonate conversion, representing oxidative metabolism, is detected at low levels, despite the highly oxidative metabolism of the brain. We sought to determine the effect of lactate excitation on bicarbonate detection in healthy rats imaged in a cross-over fashion (lactate flip angle = 90° or 0°). In the brain, the bicarbonate signal-to-noise ratio increased 65 % when lactate was not excited. This effect was not observed in the heart, kidneys or liver. Collectively, our data show that lactate saturation limits bicarbonate detection in the brain solely, which has implications for study designs.


1064
Computer 71
Direct detection of 2HG and glutamate production using hyperpolarized [1-13C-5-12C]-a-ketoglutarate in cell and in vivo glioma models
Donghyun Hong1, Yaewon Kim1, Chandrasekhar Mushti2, Noriaki Minami1, Anne Marie Gillespie1, Pavithra Viswanath1, Rolf E. Swenson2, Daniel B. Vigneron 1, and Sabrina M. Ronen1

1University of California, San Francisco, San Francisco, CA, United States, 2NHLBI, Bethesda, MD, United States

Mutant IDH leads to 2HG production, which drives glioma development. 13C MRS monitoring of hyperpolarized [1-13C]α-ketoglutarate (αKG) metabolism to 2HG and glutamate provides a non-invasive assessment of the IDH mutation and normal metabolism, respectively. However, monitoring 2HG production in vivo is challenging because its resonance is within 0.1 ppm of the natural abundance [5-13C]αKG signal of the [1-13C]αKG substrate. Here, we utilized [1-13C-5-12C]αKG, which eliminated the [5-13C]αKG peak. This new approach, combined with an optimized sequence, made it possible to readily monitor the production of both 2HG and glutamate in a patient-derived glioma animal model and in normal brain.

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Modelling the kinetics of cerebral lactate production after hyperpolarized [2H7, U-13C6]-D-glucose bolus
Emmanuelle Flatt1, Bernard Lanz1, Thanh Phong Lê1,2, Rolf Gruetter1, and Mor Mishkovsky1

1Laboratory for Functional and Metabolic Imaging (LIFMET), EPFL, Lausanne, Switzerland, 2Geneva School of Health Sciences, University of Applied Sciences and Arts Western Switzerland (HES-SO), Geneva, Switzerland

The present work describes a quantitative analysis of lactate 13C-labeling pattern following the metabolism of hyperpolarized [2H7,U-13C6]-D-glucose. This lactate production results from 12 biochemical steps including glucose transport, 10 enzymatic steps of glycolysis, and LDH mediated pyruvate-to-lactate conversion. The 3-compartment model description was found a good compromise to interpret the hyperpolarized metabolic curves. This demonstrates the potential of hyperpolarized [2H7, U-13C6]-D-glucose as a new biochemical probe for brain energy metabolism.

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Liver and heart metabolism of [1-13C]-pyruvate in awake and anesthetized rats
Viivi Hyppönen1, Jessica Rosa1, and Mikko Kettunen1

1A. I. Virtanen Institute, University of Eastern Finland, Kuopio, Finland

Anesthesia has profound effects on overall metabolism, leading to significant signal changes in metabolic MR brain experiments using hyperpolarized [1-13C]pyruvate. In the current study, we studied the possible origins of the signals from rat liver and heart under isoflurane anesthesia and while the animals were awake. Increased metabolite signals, especially lactate, were observed from both organs in awake animals.

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Evidence of Lactate Shuttling in the Human Brain with Hyperpolarized 13C-MRI
Biranavan Uthayakumar1, Nadia Bragagnolo2, Hany Soliman3, Albert P Chen4, Ruby Endre5, William J Perks6, Nathan Ma6, Chris Heyn7, Sandra E Black8, and Charles H Cunningham5

1Medical Biophysics, University of Toronto, Mississauga, ON, Canada, 2Medical Biophysics, University of Toronto, Toronto, ON, Canada, 3Radiation oncolocy, Sunnybrook Health Sciences Centre, Toronto, ON, Canada, 4GE Healthcare, Toronto, ON, Canada, 5Physical Sciences, Sunnybrook Research Institute, Toronto, ON, Canada, 6Pharmacy, Sunnybrook Health Sciences Centre, Toronto, ON, Canada, 7Radiology, Sunnybrook Health Sciences Centre, Toronto, ON, Canada, 8Neurology and Hurvitz Brain Sciences Research Program Sciences, Sunnybrook Health Sciences Centre, Toronto, ON, Canada

It is well known that glucose is the primary source of energy in the brain, but mounting evidence suggests that at least some of this glucose is first converted to lactate and shuttled between cellular compartments before being oxidized in the TCA cycle. In this study, the hypothesis that this ”lactate shuttle” contributes to the 13C-lactate and 13C-bicarbonate signal observed in the awake human brain is tested using hyperpolarized 13C MRI (HP13C-MRI).

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Parallel imaging of hyperpolarized 13C MRI using 23Na sensitivity profiles
Rie Beck Olin1, Juan Diego Sánchez-Heredia1, James T Grist2,3,4,5, Wenjun Wang6, Nikolaj Bøgh7, Vitaliy Zhurbenko6, Esben S Hansen7, Rolf F Schulte8, Damian Tyler2,3, Christoffer Laustsen7, and Jan Henrik Ardenkjær-Larsen1

1Department of Health Technology, Technical University of Denmark, Kgs. Lyngby, Denmark, 2Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, United Kingdom, 3Oxford Centre for Clinical Magnetic Resonance Research, University of Oxford, Oxford, United Kingdom, 4Department of Radiology, Oxford University Hospitals Trust, Oxford, United Kingdom, 5Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom, 6Department of Electrical Engineering, Technical University of Denmark, Kgs. Lyngby, Denmark, 7MR Research Centre, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark, 8GE Healthcare, Munich, Germany

Parallel imaging can aid hyperpolarized 13C MRI in extracting more information in the limited time window of the hyperpolarized signal. Using a dedicated, flexible 13C receive coil design with coupling coefficients matched for both 13C and 23Na, sensitivity profiles for reconstruction can be acquired at the 23Na frequency. We demonstrate this method in two hyperpolarized in vivo experiments involving pig kidneys and human brain using a two-times accelerated 3D blipped stack-of-spirals sequence with dual-resolution. The results show good SNR, coverage, and resolution. The method is promising for integrating and automating parallel imaging for hyperpolarized 13C MRI.


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Seiffert spirals for hyperpolarized 13C MRI with efficient k-space sampling and flexible acceleration
Rie Beck Olin1, Tobias Speidel2, Juan Diego Sánchez-Heredia1, Esben S Hansen3, Christoffer Laustsen3, Lars G Hanson1,4, Volker Rasche5, and Jan Henrik Ardenkjær-Larsen1

1Department of Health Technology, Technical University of Denmark, Kgs. Lyngby, Denmark, 2Core Facility Small Animal MRI, University of Ulm, Ulm, Germany, 3MR Research Centre, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark, 4Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark, 5Department of Internal Medicine II, University of Ulm, Ulm, Germany

The Seiffert spirals trajectory has favorable properties for hyperpolarized 13C MRI. It allows for high degrees of undersampling and combined conjugate gradient compressed sensing SENSE reconstruction when multi-channel arrays are used. The trajectory was evaluated in simulations, in phantom, and for in vivo hyperpolarized 13C-urea MRI of pig kidneys with retrospective undersampling and high temporal resolution. For single-frequency imaging, flexible acceleration is achieved through reconstruction based on any number and combination of spiral arms. Simulations demonstrated noise-like aliasing and successful reconstruction. The in vivo experiment showed improved characterization of urea dynamics after undersampling. The reconstruction algorithm can be further improved.

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On the impact of heart rate and relaxation on SNR of hyperpolarized 13C pyruvate metabolic imaging of the human heart
Julia Traechtler1, Maximilian Fuetterer1, Tobias Hoh1, Mohammed Albannay1, Andreas Dounas1, and Sebastian Kozerke1

1University and ETH Zurich, Zurich, Switzerland

In hyperpolarized 13C MRI, the achievable base SNR depends on the T1 relaxation of pyruvate in blood. Heart rate dependency on the resulting SNR is examined using simulations and exemplarily shown on human data of the heart. Measured T1 and T2 values at 1.5T and 3T of hyperpolarized 13C pyruvate in blood are reported. The results indicate that for a range of pyruvate concentrations, T2 remains >6s and hence T2* is primarily determined by field inhomogeneities. T1 is reduced at lower concentrations, and therefore heart rate plays a decisive role for the achievable SNR. Exemplary in-vivo data illustrate these findings.

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Hepatic and renal ketogenesis of hyperpolarized (1-13C)butyrate: functional evidence of metabolic zonation
Hikari A. I. Yoshihara1, Rolf Gruetter1, and Verena Hoerr2,3

1LIFMET, EPFL, Lausanne, Switzerland, 2Medical Physics Group, Institute of Diagnostic and Interventional Radiology, Jena University Hospital, Friedrich Schiller University Jena, Jena, Germany, 3Heart Center, Department of Internal Medicine II, University Hospital Bonn, Bonn, Germany

Ketones bodies are an important metabolic fuel, and butyrate is a ketogenic short-chain fatty acid. We report the metabolism of hyperpolarized (1-13C)butyrate in the rat kidney and liver. The main metabolites in the kidney include [1-13C]acetoacetate, [1-13C]butyrylcarnitine and [5-13C]glutamate, and [1-13C]acetylcarnitine,  3-hydroxy[1-13C]butyrate, [5-13C]citrate and [3-13C]acetoacetate are also detectable. Fasting results in significantly lower butyrylcarnitine/[1-13C]acetoacetate and glutamate/[1-13C]acetoacetate ratios. Ketogenesis is observed in the liver and the [1-13C]butyrylcarnitine + [1-13C]acetoacetate signal normalized to butyrate is higher with fasting. The unexpectedly low 3-hydroxy[1-13C]butyrate signals are functional evidence of metabolic zonation, with acetoacetate production and reduction occurring in different cells.

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In-vivo Imaging of hyperpolarized and purified Fumarate at 11.7 T
Tobias Speidel1, Stephan Knecht2, Martin Gierse2, Tobias Lobmeyer1, Gordon Winter3, Jessica Löffler3, Maximilian Fellermann4, Ilai Schwartz2, Holger Barth4, and Volker Rasche1

1Internal Medicine II, Ulm University Medical Center, Ulm, Germany, 2NVision Imaging Technologies GmbH, Ulm, Germany, 3Department of Nuclear Medicine, Ulm University Medical Center, Ulm, Germany, 4Institute for Pharmacology and Toxicology, Ulm University Medical Center, Ulm, Germany

Hyperpolarized [1-13C] fumarate has been shown to be a reliable imaging biomarker for monitoring cellular necrosis with conversion of [1-13C]fumarate to [1-13C]malate via Fumarate hydratase. However, the inherently low 13C-sensitivity limits biomedical applications with a need for accessible and low-cost hyperpolarization methods.

In this abstract we show that parahydrogen-induced polarization methods can overcome these limitations by providing highly polarized and purified [1-13C]fumarate as a non-toxic perfusion agent with the capabilities of acting as a biomarker of cell necrosis in metabolic 13C MRI.



MRS, EPR & Hyperpolarization I

Exhibition Hall:S8 & S9
Monday 14:45 - 15:45
Contrast Mechanisms
Module : Module 7: Spectroscopy & Hyperpolarization

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Reproducibility of multi-slice MR spectroscopic imaging of GABA at 3 T
Helge Jörn Zöllner1, Ipek Özdemir1, Dillip K. Senapati1, Michal Považan2, Georg Oeltzschner1, Kimberly Chan3, Doris D. M. Lin1, and Peter B. Barker1,4

1Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 23 Danish Research Centre for Magnetic Resonance, Hvidovre Hospital, Copenhagen, Denmark, 3Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, United States, 4F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States

Reproducibility of multi-slice GABA-edited MRSI of the human brain recorded at 3T was investigated in 6 healthy adult volunteers, with and without a retrospective motion compensation scheme applied (MoCo). Overall reproducibility was good with improved performance when MoCo was applied (relative GABA+/tCr difference between visits: 20.8% no Moco, 10.0% with MoCo). Retrospective MoCo is a viable alternative for edited-MRSI when prospective motion correction is unavailable, at least in relatively compliant subject groups.

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Investigating liver fibrosis using water T1 estimated by flip angle corrected multi-parameter MRS
Ashley L Louie1, Gavin Hamilton1, Alexandra N Schlein1, Walter C Henderson1, Danielle N Batakis1, Lael K Ceriani1, Yesenia Covarrubias1, Tanya Wolfson1, Nikolaos Panagiotopolous2, David T Harris2, McMillan Alan2, Daiki Tamada2, Kathryn J Fowler1, Scott B Reeder2, and Claude B Sirlin1

1Radiology, University of California, San Diego, La Jolla, CA, United States, 2Radiology, University of Wisconsin, Madison, WI, United States

The purpose of this study was to examine the relationship between water T1 and T2 estimated by Flip Angle Corrected Multi-Parameter (CMP) MRS and biopsy-determined fibrosis. The sample of twenty-eight subjects with biopsy and MRS data is part of a dual-center, weight loss surgery study. Subjects without fibrosis were found to have significantly higher CMP MRS T1 water values than patients with fibrosis.

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On the experimental setup of parahydrogen-induced polarization via proton exchange.
Jule Kuhn1, Kolja Them1, and Jan-Bernd Hövener1

1Section Biomedical Imaging, Molecular Imaging North Competence Center (MOIN CC), Department of Radiology and Neuroradiology, University Medical Center Schleswig - Holstein, Kiel University, Kiel, Germany

The PHIP-X methodology is a novel approach to hyperpolarize nuclei from specific molecules that could function as contrast agents in metabolic MRI. PHIP-X combines the strong polarization of hydrogenative PHIP with the broad applicability of proton exchange and opens up the variety of potential hyperpolarizable biomolecules. The presented experimental setup facilitates the application of pH2 pressures up to 30 bar and well-defined external magnetic fields up to 80 mT. Using this setup allowed to hyperpolarize glucose (830 mM) and achieved increasing polarization with increasing the pressure from 10 bar to 20 bar (molar polarization was more than doubled).


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GABA-edited MEGA-PRESS at 3T: Does a measured MM background improve linear-combination modeling?
Helge Jörn Zöllner1,2, Yulu Song1,2, Steve C. N. Hui1,2, Peter B. Barker1,2, Richard A. E. Edden1,2, and Georg Oeltzschner1,2

1Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States

Recent work identified a 'best practice' linear-combination modeling (LCM) strategy for GABA-edited spectra using parameterized basis functions for co-edited macromolecules. Here we introduce a measured macromolecular basis function to evaluate possible improvements in the modeling.

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The effect of the glutamate response function on detection sensitivity for functional MRS: a simulation study
Anouk Schrantee1, Adam Berrington2, Petra J Pouwels1, Bram F Coolen3, Oliver Gurney-Champion1, and Chloé F Najac4

1Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Amsterdam, Netherlands, 2Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, United Kingdom, 3Department of Biomedical Engineering and Physics, Amsterdam University Medical Centers, Amsterdam, Netherlands, 4C.J. Gorter Center for High-Field MRI, Department of Radiology, Leiden University Medical Center, Leiden, Netherlands

fMRS stimulation paradigms and analysis strategies are highly heterogeneous, partially due to lack of knowledge of the underlying metabolic response function. To better understand the potential consequences of analysis methods, this simulation study evaluates the effect of different glutamate response functions (GRFs) and binning strategies. As the GRF becomes more delayed, analyzing bins from spectra directly after ‘task’ onset results in underestimation of the true change. In moving average analyses, the fitted time-courses co-varied significantly with the input glutamate time-course. Future simulation studies will expand on other variable sources, such as habituation and hemodynamic effects, and macromolecule fitting procedures.

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Improved motion compensation for water-suppressed diffusion MR Spectroscopy evaluated using synthetic data
André Döring1, Derek K Jones1, and Roland Kreis2,3

1Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, United Kingdom, 2Magnetic Resonance Methodology, Institute of Diagnostic and Interventional Neuroradiology, University Bern, Bern, Switzerland, 3Translational Imaging Center, sitem-insel, Bern, Switzerland

We demonstrate that, even without having water as an internal reference, a combination of spectral registration and fitting can restore artificial signal loss promoted by incoherent averaging due to frequency/phase drifts and motion-induced dephasing for the cardinal brain metabolites (tCr, tCho, tNAA, Glx and Ins) by using a set of synthetically distorted diffusion MR spectra (including realistic phase, frequency and amplitude fluctuations).

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Reproducibility of localized 31P-MRS methods using different surface coils for assessment of hepatic metabolism in vivo at 3T
Marc Jonuscheit1,2, Stefan Wierichs1,2, Yuliya Kupriyanova1,2, Michael Roden1,2,3, and Vera Schrauwen-Hinderling1,2,4

1Institute for Clinical Diabetology, German Diabetes Center, Leibniz Institute for Diabetes Research at Heinrich Heine University, Düsseldorf, Germany, 2German Center for Diabetes Research (DZD e.V.), München-Neuherberg, Germany, 3Department of Endocrinology and Diabetology, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany, 4Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, Netherlands

We determined day-to-day variation and intra-session reproducibility of 31P-MRS-based hepatic phosphorus metabolite quantification. To this end, we compared a standard single loop with a custom-created quadrature surface coil. Absolute concentrations of γ-adenosine triphosphate and inorganic phosphate were assessed in 7 volunteers with both coils. Both coils showed comparable day-to-day and intra-session CVs < 10 %. Metabolite concentrations determined by the two coils were similar. Therefore, both coils yield robust absolute concentrations of hepatic phosphorous metabolites. The quadrature coil allows measurements at a higher distance from the coil which can be important for the application in obese patients.

 


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MultiNet CAIPIRINHA: accelerated 1H MRSI with 1-step neural network reconstruction based on augmented MRSI training data
Kimberly L Chan1 and Anke Henning2,3

1Advanced Imaging Research Center, The University of Texas Southwestern, Dallas, TX, United States, 2The University of Texas Southwestern, Dallas, TX, United States, 3Max Planck Institute for Biological Cybernetics, Tübingen, Germany

We have shown that MultiNet, a neural-network-based image reconstruction, can reconstruct variable-density k-space undersampling schemes to decrease MRSI acquisition times.  This used a 4-step method where points are predicted by 4 successively-applied neural-networks off both acquired and previously predicted k-space points.  Herein, a 1-step method where points are only predicted off acquired k-space points to reduce reconstruction error was explored.  This method was trained using a new augmented MRSI training set and compared to the 4-step reconstruction of new CAIPIRINHA-based schemes and the original schemes.  The new 1-step reconstruction method was found to increase SNR and improve metabolic maps.

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Functional changes in GABA during motor learning with GABA-editing at 3T
Tiffany K Bell1,2,3, Alexander R Craven4,5, Kenneth HugDahl4,6,7, Ralphe Noeske8, and Ashley D Harris1,2,3

1Department of Radiology, University of Calgary, Calgary, AB, Canada, 2Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada, 3Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada, 4Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway, 5Department of Clinical Engineering, Haukeland University Hospital, Bergen, Norway, 6Division of Psychiatry, Haukeland University Hospital, Bergen, Norway, 7Department of Radiology, Haukeland University Hospital, Bergen, Norway, 8GE Healthcare, Berlin, Germany

Functional magnetic resonance spectroscopy (fMRS) of GABA at 3T is challenging due to the difficulties of measuring GABA levels; GABA is present in the brain at relatively low concentrations and its signal is overlapped by higher concentration metabolites. Here we use a continuous MEGA-PRESS acquisition to show changes in GABA levels measured in the sensorimotor cortex during motor learning and during a control button pressing task. This indicates GABA levels can be tracked during a functional experiment, allowing fMRS of GABA to be accessible at 3T, the more commonly used field strength.

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Mapping of apparent Intra- and extra-myocellular lipid content using spiral spectroscopic imaging and diffusion imaging at 3T
Antoine Naëgel1,2, Magalie Viallon1, Jabrane Karkouri1,2,3, Thomas Troalen2, Kevin Moulin1,2, Pierre Croisille1, and Hélène Ratiney1

1Université de Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1206, Lyon, France, 2Siemens Healthineers, Saint-Denis, France, 3Wolfson Brain Imaging Center, University of Cambridge, Cambridge, United Kingdom

Exploring spatial distribution of intra- and extramyocellular lipids linked to the orientation of muscle fibers is complex. We used a magnetic resonance spectroscopic imaging (MRSI) technique with a spiral encoding of k-t space and diffusion imaging tractography at 3T to reveal possible concomitant factors. The IMCL preponderance index, exploiting the spectroscopic dimension and proposed in this study, highlights interesting and relevant patterns in some calf muscle heads.


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A simulation framework to assess the quantification reliability of 2HG in 1H MRS
Justyna Platek1,2, Vanessa L. Franke1,2, Mark E. Ladd1,2,3, Peter Bachert1,2, and Andreas Korzowski1

1Division of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 2Faculty of Physics and Astronomy, University of Heidelberg, Heidelberg, Germany, 3Faculty of Medicine, University of Heidelberg, Heidelberg, Germany

The non-invasive detection of 2-hydroxyglutarate (2HG) via 1H MRS is of particular interest in brain tumors, but quantification of 2HG may be challenging due the spectral overlap with Glutamate and Glutamine. In this study, we implemented a simulation framework for the assessment of the quantification reliability for 2HG under realistic conditions, and demonstrated its application to a PRESS sequence at B0=9.4T with a representative set of different TEs and SNR levels. With this framework, we aim to identify optimal acquisition parameters for the detection of 2HG in glioma mouse models at a 9.4-T small animal scanner in the future.

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Replicability of 1H MR spectroscopic imaging in mild traumatic brain injury
Anna M Chen1, Teresa Gerhalter1, Seena Dehkharghani1,2, Rosemary Peralta1, Fatemeh Adlparvar1, Martin Gajdošík1, Mickael Tordjman1,3, Julia Zabludovsky1, Sulaiman Sheriff4, Sinyeob Ahn5, James S Babb1, Tamara Bushnik6, Alejandro Zarate6, Jonathan M Silver7, Brian S Im6, Stephen P Wall8, Guillaume Madelin1, and Ivan I Kirov1,2,9

1Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States, 2Department of Neurology, New York University Grossman School of Medicine, New York, NY, United States, 3Department of Radiology, Cochin Hospital, Paris, France, 4Department of Radiology, University of Miami Miller School of Medicine, Miami, FL, United States, 5Siemens Medical Solutions USA Inc., Malvern, PA, United States, 6Department of Rehabilitation Medicine, New York University Grossman School of Medicine, New York, NY, United States, 7Department of Psychiatry, New York University Grossman School of Medicine, New York, NY, United States, 8Ronald O. Perelman Department of Emergency Medicine, New York University Grossman School of Medicine, New York, NY, United States, 9Center for Advanced Imaging Innovation and Research, Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States

1H-MRS has the potential to provide biomarkers for mild traumatic brain injury (mTBI), a diagnosis in which damage is often imaging-occult, but a lack of replicability and reproducibility studies hampers clinical translation. Here, we tested the replicability of previous MRSI results in mTBI with a different patient cohort. Five out of seven hypotheses were consistent with previous work, with key findings of globally diffuse white matter (WM) injury and limited gray matter injury. However, we report differences in choline and creatine, not N-acetyl-aspartate. Correlations were found between metabolite levels in WM and both symptomatology and neuropsychological testing.


Hyperpolarization (129 Xe)

Exhibition Hall:S8 & S9
Monday 15:45 - 16:45
Contrast Mechanisms
Module : Module 7: Spectroscopy & Hyperpolarization

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129Xe MRI patterns of lung function in patients with asthma and/or COPD in the NOVELTY study
Helen Marshall1, Laurie J Smith1, Alberto Biancardi1, Guilhem J Collier1, Ho-Fung Chan1, Paul JC Hughes1, Martin L Brook1, Joshua Astley1, Ryan Munro1, Smitha Rajaram1, Andrew J Swift1, David Capener1, Jody Bray1, Ayla K Hussain1, James Ball1, Olly Rodgers1, Demi Jakymelen1, Ian Smith1, Bilal A Tahir1, Madhwesha Rao1, Graham Norquay1, Nick D Weatherley1, Leanne Armstrong1, Latife Hardaker2, Titti Fihn-Wikander3, François-Xavier Blé4, Rod Hughes5, and Jim M Wild1

1Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom, 2Priory Medical Group, York, United Kingdom, 3Evidence Delivery, BioPharmaceuticals Medical, Biopharmaceuticals Business Unit, AstraZeneca, Gothenburg, Sweden, 4Translational Science and Experimental Medicine, Research and Early Development, Respiratory & Immunology, Biopharmaceuticals R&D, AstraZeneca, Cambridge, United Kingdom, 5Clinical Development, Research and Early Development, Respiratory & Immunology, AstraZeneca, Cambridge, United Kingdom

There is a need for biomarkers to guide appropriate treatment in patients with clinical features of both asthma and COPD.  A broadly-defined population of 164 patients with asthma and/or COPD taking part in the NOVELTY study were recruited from primary care and scanned with 129Xe MRI (ventilation, acinar microstructure and gas exchange measurements).  129Xe MRI global and regional metrics showed significant differences between patients with asthma, asthma+COPD and COPD.  129Xe MRI metrics remained sensitive to diagnosis sub-groups when only patients with normal pulmonary function tests were considered.

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Hyperpolarized 129Xe MRI and spectroscopy in healthy control subjects reveals age-related changes in measurements of pulmonary gas exchange
David Mummy1, Aparna Swaminathan2, Elianna Bier3, Kevin Yarnall4, Aryil Bechtel5, Junlan Lu6, Suphachart Leewiwatwong6, Sakib Kabir1, Jennifer Korzekwinski1, and Bastiaan Driehuys1,3,6

1Radiology, Duke University, Durham, NC, United States, 2Medicine, Duke University, Durham, NC, United States, 3Biomedical Engineering, Duke University, Durham, NC, United States, 4Mechanical Engineering, Duke University, Durham, NC, United States, 5Physics, Duke University, Durham, NC, United States, 6Medical Physics, Duke University, Durham, NC, United States

Age-related changes in 129Xe gas exchange MRI and spectroscopy are not well understood. We assessed a suite of common 129Xe-derived measures of gas exchange function in a population of healthy control subjects age 19-87. Increased age was associated with reduced red blood cell (RBC) to barrier ratio and with greater levels of ventilation defects and RBC transfer defects. These effects must be accounted for when evaluating 129Xe-derived metrics as markers of disease in individual patients. Notably, high barrier uptake remained largely minimal across age groups, and does not appear to be a feature of healthy aging.

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Dissolved 129Xe spectroscopy in the lungs of preterm-born children
Ho-Fung Chan1, Guilhem J Collier1, Laurie J Smith1, Alberto M Biancardi1, Jody Bray1, Helen Marshall1, Paul J.C Hughes1, Madhwesha Rao1, Graham Norquay1, Andrew J Swift1, Kylie Hart2,3, Michael Cousins2,3, Sailesh Kotecha2,3, and Jim M Wild1

1Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom, 2Child Health, Cardiff University School of Medicine, Cardiff, United Kingdom, 3Neonatal Unit, Cardiff and Vale University Health Board, Cardiff, United Kingdom

Ventilation defects and increased alveolar heterogeneity have been observed previously with 129Xe MRI in preterm-born children. We hypothesised that reduced gas exchange in preterm-born children could be measured with dissolved 129Xe whole lung spectroscopy. The ratio of red blood cells (RBC) to tissue/plasma (TP) signals (RBC/TP) was significantly elevated in the lungs of 34 preterm-born children compared with 16 term-born children. This trend was unexpected and we hypothesise that in preterm-born children a reduced number of alveolar septa due to birth at an early stage of lung development can lead to decreased TP signal and thus increased RBC/TP ratio.

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129Xe MRI Binning Analysis using Reference Values: Age-dependent Changes in Gas-Exchange MRI
Matthew Willmering1, Joseph Plummer1,2, Laura Walkup1,2,3,4, Zackary Cleveland1,2,3,4, and Jason Woods1,3,4,5

1Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 2Biomedical Engineering, University of Cincinnati, Cincinnati, OH, United States, 3Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 4Pediatrics, University of Cincinnati Medical Center, Cincinnati, OH, United States, 5Physics, University of Cincinnati, Cincinnati, OH, United States

Previous 129Xe-MRI binning analysis techniques assumed normal distributions or relied on a Box-Cox transformation. Adapting these binning methods to account for known covariates of lung function and structure, such as age and height, was not straightforward. To account for these limitations, a new binning method is proposed here that uses the same modeling techniques used to increase sensitivity and specificity in spirometry and diffusing capacity for carbon monoxide (DLCO). By accounting for MRI image distribution shapes and covariates, healthy representative data distributions are better modelled and can permit increased sensitivity and specificity, particularly for early cardiopulmonary disease progression.


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Flip-angle map calculation via keyhole reconstruction in uniform and variable-density 2D-spiral hyperpolarized 129Xe MRI
Joseph W Plummer1,2, Abdullah S Bdaiwi1,2, Mariah L Costa1,2, Matthew M Willmering1, Zackary I Cleveland1,2,3, and Laura L Walkup1,2,3,4

1Center for Pulmonary Imaging Research, Department of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 2Biomedical Engineering, University of Cincinnati, Cincinnati, OH, United States, 3Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 4Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States

Hyperpolarized 129Xe-MRI is prone to B1-inhomogeneity-induced signal artifacts, that often obscure pulmonary abnormalities. B1-inhomeogeneity can be corrected by calculating a flip-angle map and rescaling the images. Current methods to acquire a flip-angle map in 2D-spiral sequences require two-successive images to be collected in a single breath-hold, doubling scan duration. We demonstrate that flip-angle maps can be calculated from a single image acquisition using keyhole reconstruction. Furthermore, analytical methods can be used to minimize the amount of required oversampling. This approach enables accurate B1-artifact correction, with minimal impact to scan-duration, making it especially useful for short breath-hold studies.

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Assessing the Age Dependence of 129Xe Gas-exchange MRI for Individual Healthy Subjects
Joseph Plummer1,2, Matthew Willmering1, Laura Walkup1,2,3,4, Zackary Cleveland1,2,3,4, and Jason Woods1,3,4,5

1Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 2Biomedical Engineering, University of Cincinnati, Cincinnati, OH, United States, 3Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 4Pediatrics, University of Cincinnati Medical Center, Cincinnati, OH, United States, 5Physics, University of Cincinnati, Cincinnati, OH, United States

129Xe-MRI can quantify abnormal gas-exchange by defining thresholds derived from voxel-level gas-exchange distributions in healthy subjects. Previous studies assumed a constant healthy distribution independent of age. By fitting to Box-Cox Power Exponential distributions, normal distributions cannot be assumed, and the distributions vary significantly with age. The effect size of age (5-69 years) on healthy ventilation, barrier-uptake, and red-blood cell to barrier (ratio) signal distributions were 14 to 57%. Thus, age and distribution shape should be considered when defining reference distributions for gas-exchange metrics. By accounting for age-dependent variations, the reference distributions abnormal thresholds could be narrowed.


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Texture Analysis as an Adjunct to Hyperpolarized 129Xe Ventilation Defect Percentage for Quantifying Cystic Fibrosis Lung Disease Severity
Dustin J. Basler1, Abdullah S. Bdaiwi1,2, Matthew M. Willmering1, Laura L. Walkup1,2,3,4, Zackary I. Cleveland1,2,3,4, and Jason C. Woods1,3,4

1Center for Pulmonary Imaging Research, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 2Department of Biomedical Engineering, University of Cincinnati, Cincinnati, OH, United States, 3Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 4Department of Pediatrics, University of Cincinnati, Cincinnati, OH, United States

MRI of hyperpolarized 129Xe has been shown to be a robust, non-invasive biomarker to assess pulmonary disease pathophysiology. Static spin-density maps (ventilation images) are commonly analyzed using the ventilation defect percentage (VDP) to quantify the degree of airway obstruction in diseases including asthma, chronic obstructive pulmonary disease, and cystic fibrosis. However, VDP reduces the intrinsic 3D-spatial richness of ventilation images to a global measure, suppressing underlying spatial correlations. In this work, a gray-level run-length matrix (GLRLM) analysis is assessed as an adjunct to VDP analysis for quantifying obstruction in Cystic Fibrosis (CF) lung disease, relative to a healthy control cohort.     

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Age and lung volume dependence of dissolved xenon-129 imaging parameters
Guilhem J. Collier1, Ho-Fung Chan1, Neil J. Stewart1, Graham Norquay1, Laurie J. Smith1, Madhwesha Rao1, Helen Marshall1, Rolf F. Schulte2, and Jim M. Wild1

1POLARIS, University of Sheffield, Sheffield, United Kingdom, 2GE Healthcare, Munich, Germany

This work investigates the correlation between age and pulmonary gas transfer measurements assessed with dissolved xenon-129 MRI in 26 healthy volunteers with an age range of 23 to 68yrs. Dependence on lung inflation is also investigated by performing imaging at total lung capacity. Results show significant negative correlations of xenon tissue uptake and blood transfer and suggest that an age-correction should be performed when reporting results. Imaging at total lung capacity also confirms a significant decrease in xenon gas transfer when compared to imaging during standard inspiratory breath-hold.

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Dynamic Free-Breathing Ventilation and Gas Exchange with Hyperpolarized Xenon-129
Faraz Amzajerdian1, Hooman Hamedani1, Ryan Baron1, Yi Xin1, Tahmina Achekzai1, Luis Loza1, Mostafa Ismail1, Ian Duncan1, Stephen Kadlecek1, Kai Ruppert1, and Rahim Rizi1

1University of Pennsylvania, Philadelphia, PA, United States

Hyperpolarized xenon-129 (HXe) imaging is capable of quantifying lung function through measurements of ventilation and gas exchange. However, traditional HXe approaches rely on long breath-holds for imaging, which may not be representative of steady-state behavior and are limited by the volume of gas that can be delivered. In this work, we imaged gas- and dissolved-phase xenon continuously over approximately 50 breaths and retrospectively binned the images, generating dynamic maps encompassing the entire respiratory cycle.

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Hyperpolarized 129Xe Diffusion MRI and Diffusion Morphometry in Mice using 2D Spiral
Mariah L. Costa1,2, Brice J. Albert1, Abdullah S. Bdaiwi1,2, Harshavardhana H. Ediga3,4, Satish K. Madala3,5, Peter J. Niedbalski1,6, and Zackary I. Cleveland1,2,3,5,7

1Center for Pulmonary Imaging Research, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 2Biomedical Engineering, University of Cincinnati, Cincinnati, OH, United States, 3Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 4Biochemistry, National Institute of Nutrition, Telangana, India, 5Pediatrics, University of Cincinnati, Cincinnati, OH, United States, 6Pulmonary and Critical Care, University of Kansas Medical Center, Kansas City, KS, United States, 7Imaging Research Center, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States

Hyperpolarized (HP) 129Xe diffusion imaging, including the apparent diffusion coefficient (ADC) and more sophisticated diffusion morphometry, can assess microstructural dimensions of the acinar airspace. In diseases characterized by alveolar destruction (eg, emphysema), these parameters strongly indicate disease severity. Here, a time-efficient, 2D-spiral diffusion sequence was developed and compared to a conventional GRE-based sequence in a free-diffusion phantom, wild-type mice, a and a transgenic mouse model of lung fibrosis that develops emphysema as a comorbidity. Both sequences provided comparable SNR, ADC values, and morphometry metrics, indicating spiral sequences can assess airspace size in mice, while making efficient use of HP magnetization.


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Intra-Visit and Inter-Visit Repeatability of 129Xe Multiple-Breath Washout MRI in Children with Stable Cystic Fibrosis Lung Disease
Faiyza Shoaib Alam1,2, Brandon Zanette2, Sharon Braganza2, Daniel Li2, Felix Ratjen2,3, and Giles Santyr1,2

1Medical Biophysics, University of Toronto, Toronto, ON, Canada, 2Translational Medicine, Hospital for Sick Children, Toronto, ON, Canada, 3Division of Respirology, Hospital for Sick Children, Toronto, ON, Canada

Hyperpolarized 129Xe MRI (Xe-MRI) yielding VDP has shown advantages over conventional PFT’s for assessing paediatric CF lung disease but is only a static “snapshot” of a dynamic process. Xe-MRI can be conducted in a MBW fashion to yield temporal/spatial heterogeneity of the gas during respiration, resulting in regional maps of fractional ventilation (r), a measure of percent gas clearance per breath. This work assessed the within-visit and inter-visit repeatability of MBW Xe-MRI between baseline and one-month follow-up in paediatric subjects with stable CF and found strong intra- and inter-visit repeatability. Significant correlations between MBW Xe-MRI and LCI were also found.

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Ventilation Defect Synthesis in Hyperpolarized 129Xe Ventilation MRI to Accelerate Training of Segmentation Models
Suphachart Leewiwatwong1, Junlan Lu2, Jesse Zhang3, David Mummy4, Isabelle Dummer4,5, Kevin Yarnall6, Ziyi Wang1, and Bastiaan Driehuys1,2,4

1Biomedical Engineering, Duke University, Durham, NC, United States, 2Medical Physics, Duke University, Durham, NC, United States, 3Mathematics, Duke University, Durham, NC, United States, 4Radiology, Duke University, Durham, NC, United States, 5Bioengineering, McGill University, Montréal, QC, Canada, 6Mechanical Engineering and Materials Science, Duke University, Durham, NC, United States

Quantification of 129Xe MRI relies on accurate segmentation of the thoracic cavity. This segmentation could potentially be performed directly on the 129Xe ventilation image using an automated convolutional neural network, but this task is challenging, especially in cases where peripheral ventilation defects obscure the lung boundary. Currently, overcoming this obstacle requires large, diverse training datasets created by time-consuming manual segmentation. Here, we demonstrate the use of a generative Pix2Pix model to synthesize both 129Xe images with defects, and corresponding segmentation masks. We then test the effects of this additional training data on the performance of an existing U-net segmentation algorithm.


MRS, EPR & Hyperpolarization II

Exhibition Hall:S8 & S9
Monday 15:45 - 16:45
Contrast Mechanisms
Module : Module 7: Spectroscopy & Hyperpolarization

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Tumor oxygen levels and their response to hyperoxygenation in cancer patients measured using EPR oximetry with the OxyChip
Periannan Kuppusamy1, Benjamin B Williams2, Eunice Y Chen3, Maciej M Kmiec4, and Philip E Schaner2

1Radiology, Geisel School of Medicine at Dartmouth College, Lebanon, NH, United States, 2Medicine, Dartmouth-Hitchcock Medical Center, Lebanon, NH, United States, 3Dartmouth-Hitchcock Medical Center, Lebanon, NH, United States, 4Geisel School of Medicine at Dartmouth College, Lebanon, NH, United States

We report a first-in-humans clinical study of EPR oximetry using the OxyChip to establish its feasibility and utility for clinically useful tumor oxygen measurements in cancer patients. Repeated measurements from a cohort of 11 cancer patients in 33 sessions over a long period of time revealed variable levels of clinically significant hypoxia as well as variable responses to a hypoxia-mitigation intervention. Overall, in light of this variability, this study further underscores the need to provide individualized repeatable assessment of tumor oxygenation in the context of planned hyperoxygenation interventions to optimize clinical outcomes.

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OxyChip embedded with gold nanoparticles as a sensor for EPR oximetry and self-fiducial for anatomic registration
Maciej M Kmiec1, Kendra A Hebert1, Dan Tse1, Sassan Hodge1, Benjamin B Williams2, Philip E Schaner2, and Periannan Kuppusamy3

1Geisel School of Medicine at Dartmouth College, Lebanon, NH, United States, 2Medicine, Dartmouth-Hitchcock Medical Center, Lebanon, NH, United States, 3Radiology, Geisel School of Medicine at Dartmouth College, Lebanon, NH, United States

EPR oximetry using the OxyChip can provide direct and repeated measurement of tissue oxygen; however, a significant limitation is its inability to identify the location of the probe in the tissue. We report the development of an OxyChip embedded with gold nanoparticles to visualize the implant using clinical ultrasound or CT. In vitro characterization, imaging, and histopathology of the probe using tissue phantoms, excised tissues, and in vivo animal models demonstrated a substantial enhancement of CT contrast with OxyChip-GNP without compromising its oxygen-sensing properties or biocompatibility. The OxyChip-GNP can facilitate precisely localized in vivo oxygen measurements in the clinical setting.

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Deuterated trityl spin probe for in vivo pO2 imaging with Time-Domain EPR
Nallathamby Devasahayam1, Shun Kishimoto1, Gadisetti Chandramouli2, Yasunori C Otowa1, Kota Yamashita1, Kazutoshi Yamamoto1, Jeffrey R Brender1, and Murali C Krishna1

1NCI, Bethesda, MD, United States, 2GenEpria Consulting, Inc, Columbia, MD, United States

In this work, we present our first 3D in vivo EPR oximetry study using Ox071 spin probe in comparison with Ox063 oximetry.  The R2* change with [Ox071] and pO2 was calibrated using standard solutions. In vivo EPR imaging of a mouse tumor was performed on successive days by using either Ox071 or Ox063.  The zero gradient signal level of Ox071 was about twice stronger and lasted almost twice longer compared to Ox063. The spin density, and pO2 maps and pO2 histograms of tumor regions marked by co-registration with MRI were similar between Ox063 and Ox071.

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129Xe chemical shift mapping in the lungs with 3D density-weighted MRSI
Graham Norquay1, Guilhem J. Collier1, Rolf F. Schulte2, and Jim M. Wild1

1Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom, 2GE Healthcare, Munich, Germany

3D density-weighted MRSI was used to regionally measure the 129Xe chemical shift from xenon in the lung airspaces (G), lung tissue/plasma (TP) and pulmonary red blood cells (RBC) at three lung inflation states. The 129Xe-RBC and 129Xe-G chemical shifts were both found to increase with increasing lung inflation (increase in alveolar pO2) while the 129Xe-TP shift was observed to be lung-inflation independent. The RBC chemical shift maps presented here may be used in patient populations to detect areas of low blood oxygenation in diseases presenting regional hypoxia in the lungs and other well-perfused organs such as the brain and kidneys.

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A general framework of synthesizing 129Xe MRI data for improved segmentation model training
Junlan Lu1, Jesse Zhang2, Suphachart Leewiwatwong3, Isabelle Dummer4, David Mummy5, and Bastiaan Driehuys3

1Medical Physics, Duke University, Durham, NC, United States, 2Mathematics, Duke University, Durham, NC, United States, 3Biomedical Engineering, Duke University, Durham, NC, United States, 4Biomedical Engineering, McGill University, Montreal, QC, Canada, 5Radiology, Duke University, Durham, NC, United States

Quantitative analysis of hyperpolarized 129Xe MRI, segmentation of the thoracic cavity, a crucial step that is often the bottleneck in an otherwise fully automated pipeline. This problem is attractive to solve using deep learning methods, but they are limited by their large appetite for manually segmented training data. To this end, we propose a method to automatically synthesize both 129Xe ventilation MR images and their corresponding thoracic cavity masks using general adversarial networks. This data augmentation technique can accelerate the training of deep learning segmentation models.

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Establishing a hemoglobin correction for 129Xe gas exchange MRI
Aryil Liam Bechtel1, Elianna Bier2, Junlan Lu3, Alexander Church4, Jennifer Korzekwinski4, David Mummy5, and Bastiaan Driehuys5

1Physics, Duke University, Durham, NC, United States, 2Biomedical Engineering, Duke University, Durham, NC, United States, 3Radiation Oncology, Clinical Science, Duke University, Durham, NC, United States, 4Duke University, Durham, NC, United States, 5Radiology, Clinical Science, Duke University, Durham, NC, United States

Hyperpolarized 129Xe gas MRI provides a spatially resolved method of monitoring gas exchange function in the lungs via 3D reconstruction of RBC/gas and barrier/gas signals. However, the strength of these signals is affected by patient hemoglobin concentration (Hgb). Thus, correcting for Hgb is important for establishing normative healthy reference distributions and accurately assessing the degree of gas exchange impairment. Here, we use a 1D physical diffusion model to establish Hgb-dependent correction factors to standardize gas exchange MRI relative to a fixed Hgb value. This correction can result in substantial changes in the visualization and quantification of gas exchange MRI.


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Parahydrogen-Induced Polarization Relayed via Proton Exchange: Application to biological molecules.
Kolja Them1 and Jan Hövener1

1Section Biomedical Imaging, Molecular Imaging North Competence Center (MOIN CC), Department of Radiology and Neuroradiology, University Medical Center Schleswig-Holstein and Kiel University, Kiel, Germany

Parahydrogen-induced polarization relayed via proton exchange (PHIP-X) is a new method to hyperpolarize a variety of molecules that participate in suitable fast proton exchange with allyl alcohol. The combination of the wide applicability of polarization-transfer via proton exchange and the strong polarization obtained using hydrogenative of PHIP opens up new avenues to hyperpolarize biological molecules such as glucose, lactate and pyruvate. Hence, PHIP-X provides a promisingnew platform for potential applications in metabolic MRI.


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Hyperpolarization of 129Xe gas via dissolution DNP: beneficial tips and tricks
Emma Linnea Wiström1, Andrea Capozzi1, Thanh Phong Lê1, Rolf Gruetter1, and Jean-Noël Hyacinthe2

1LIFMET, École polytechnique fédérale de Lausanne, Lausanne, Switzerland, 2Geneva School of Health Sciences (HES-SO), University of Applied Sciences and Arts Western Switzerland, Geneva, Switzerland

Dissolution DNP (dDNP) is an alternative for hyperpolarizing 129Xe to the well acknowledged method spin exchange optical pumping (SEOP). As opposed to SEOP, DNP takes place in the solid state at very low temperatures. Therefore, it can potentially produce a large volume of hyperpolarized gas after dissolution. In this study, by implementing a new way of preparing the sample, we ease the overall process and establish a superior incorporation of the gas atoms into the solvent. Additionally, due to a surprisingly short radical electron T1, we show that a higher polarization was achieved by applying microwave frequency modulation. 


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Respiratory System Resistance Explained using Hyperpolarized 129Xe MRI Texture Features and Machine Learning
Marrissa J McIntosh1,2, Maksym Sharma1,2, Alexander M Matheson1,2, Harkiran K Kooner1,2, Rachel L Eddy3, Christopher Licskai4, David G McCormack4, Michael Nicholson4, Cory Yamashita4, and Grace Parraga1,2,4,5

1Department of Medical Biophysics, Western University, London, ON, Canada, 2Robarts Research Institute, London, ON, Canada, 3Centre for Heart Lung Innovation, University of British Columbia, Vancouver, BC, Canada, 4Division of Respirology, Department of Medicine, Western University, London, ON, Canada, 5School of Biomedical Engineering, Western University, London, ON, Canada

129Xe MRI ventilation images consist of embedded texture features that may help explain ventilation heterogeneity. We previously showed that 129Xe MRI ventilation features predicted response to biologic therapy in asthma and thus, we postulated that texture features may help explain central and peripheral airways resistance. We employed machine-learning techniques to identify specific 129Xe MRI features that were related to airway resistance. Ventilation texture analysis yielded four unique and two common features that independently explained central and peripheral airways resistance, respectively. These promising results suggest that 129Xe ventilation texture analysis may reveal hidden anatomic-physiologic measurements that lead to ventilation heterogeneity. 

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Hyperpolarized 13C imaging at moderate field strengths: SNR considerations and in-vivo feasibility at 1.5T
Maximilian Fuetterer1, Julia Traechtler1, Andreas Dounas1, Tobias Hoh1, Mohammed Albannay1, and Sebastian Kozerke1

1Institute for Biomedical Engineering, University and ETH Zurich, Zürich ETH-Zentrum, Switzerland

Motivated by the fact that the hyperpolarized MRI signal does not quadratically scale with field strength as for conventional MRI at thermal equilibrium, the achievable SNR at reduced field strengths is explored. It is demonstrated that for larger coil diameters, sample noise dominates electrical noise at 1.5T and achievable SNR becomes comparable to 3T. By adaptively reducing acquisition bandwidth to the reduced spectral span and given longer T2* decay, effective SNR at 1.5T exceeds 3T. Feasibility is demonstrated with the first in-vivo data acquired on a clinical 1.5T system using hyperpolarized 13C pyruvate.

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Hyperpolarized [1-13C]Pyruvate MRI of Spleen: Monitoring Immune Activation for Cervical Cancer Patient following Radiotherapy
Gigin Lin1, Ying-Chieh Lai1, Kuan-Ying Lu1, Albert P Chen2, and Ching-Yi Hsieh3

1Medical Imaging and Intervention, Chang Gung Memorial Hospital, Linkou, Taiwan, 2GE Healthcare, Toronto, ON, Canada, 3Medical Imaging Research Center, Institute for Radiological Research, Chang Gung University, Taoyuan, Taiwan

Successful cancer therapy depends on an optimal immune response, but noninvasive tools are lacking to monitor this dynamic process. In this proof-of-concept human study, we demonstrated hyperpolarized [1-13C]pyruvate MRI of the spleen monitoring the immune activation for cancer patients at the early time point following radiotherapy, by measuring the pyruvate-to-lactate conversion rate. The ADC-based cellularity of the spleen, however, did not detect remarkable changes.

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Simultaneous fMRI and metabolic MRS of hyperpolarized [1-13C]pyruvate during nicotine stimulus in rat
Viivi Hyppönen1, Jessica Rosa1, and Mikko Kettunen1

1A. I. Virtanen Institute, University of Eastern Finland, Kuopio, Finland

fMRI is widely used to study cerebral metabolism to stimulus through combination of BOLD and hemodynamic changes. Hyperpolarized carbon can also be used to study cerebral metabolism, but it is currently poorly understood. Here we performed simultaneous 1H fMRI and 13C MRS experiments to compare their response to nicotine stimulus. Cortical BOLD signal increase was accompanied by increased bicarbonate labelling. Combined 1H fMRI and 13C MRS may therefore offer complementary information on brain response to stimulus.

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15N-enriched NAD+/ NADH Analogs as Redox-Responsive MRI Sensors
Emily Buchanan1,2,3, James Ratnakar1, Eul Hyun Suh1, Jun Chen1, Ivan Dimitrov1,4, Jae Mo Park1, A. Dean Sherry1,2, and Zoltan Kovacs1

1Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, TX, United States, 2Chemistry and Biochemistry, The University of Texas at Dallas, Richardson, TX, United States, 3Physical Measurement Laboratory, National Institute of Standards and Technology, Boulder, CO, United States, 4Phillips Medical Systems, Cleveland, OH, United States

In this study, we prepared a 15N-enriched analog of NAD+ (N-methyl nicotinamide = MNA+) and demonstrated that it undergoes reduction by sodium dithionate to form MNAH. The 15N chemical shifts of the oxidized and reduced forms differ by 124.2ppm. DNP of MNA+ followed by dissolution and 15N NMR showed a favorable T1 relaxation time of 130s at 1T and 50s at 3T. Deuteration of the methyl protons only increased the T1 of 15N by ~10s. The long T1 of 15N in these NAD+/NADH mimetics and the large chemical shift difference offer the exciting potential for their use as redox sensors.


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Towards 15N molecular MRI with 15N-nicotinamide hyperpolarized by dissolution dynamic nuclear polarization (dDNP)
Josh Peters1, Arne Brahms2, Vivian Janicaud1,3, Mariia Anikeeva1, Eva Peschke1, Frowin Ellermann1, Arianna Ferrari1, Konrad Aden4, Stefan Schreiber4, Rainer Herges2, Jan-Bernd Hövener1, and Andrey N. Pravdivtsev1

1SBMI, MOIN CC, UKSH, Kiel University, Kiel, Germany, 2Otto Diels Institute for Organic Chemistry, Kiel University, Kiel, Germany, 3Universität zu Lübeck, Lübeck, Germany, 4Institute of Clinical Molecular Biology, UKSH, Kiel University, Kiel, Germany

We synthesized 1-15N nicotinamide (NA) and built a saddle-shaped mouse body linear coil for 15N imaging. We found a way to polarize 1-15N-NA by dissolution dynamic nuclear polarization to 9.1±4.4% and measured the effect of the radical load. The lifetime of hyperpolarized NA was field-dependent: 100 s at 1 T, 60 s at 7 T, and 30 s at 9.4 T. An effect of the pH on liquid-state polarization was found.  N FLASH MRI of hyperpolarized NA was acquired in less than 1 s. 


23Na

Exhibition Hall:S8 & S9
Monday 17:00 - 18:00
Contrast Mechanisms
Module : Module 31: Molecular Imaging

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Correction of CSF Partial Volume Bias in 23Na Magnetic Resonance Fingerprinting
Fabian J Kratzer1, Sebastian Flassbeck1,2,3, Sebastian Schmitter1,4, Tobias Wilferth5, Peter Bachert1, Mark E Ladd1, and Armin M Nagel1,5

1Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 2Center for Biomedical Imaging, New York University, New York, NY, United States, 3Center for Advanced Imaging Innovation and Research, New York University, New York, NY, United States, 4Physikalisch Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany, 5Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen Nürnberg (FAU), Erlangen, Germany

This work investigates the bias in the quantified relaxation times due to partial volume contributions of CSF for 23Na magnetic resonance fingerprinting (MRF) and reference methods. In simulations, a CSF contribution of only 10% resulted in an overestimation of 17% (31%) in T2l* in brain tissue for MRF (the reference). Further, a simple approach for CSF bias correction for 23Na MRF is proposed. This reduced the average absolute T1 deviation in brain tissue from 15% to 4%. The deviation in T2l* (T2s*) was reduced from 17% (35%) to 9% (5%). Finally, the correction was applied to in vivo MRF data.

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Repeatability of simultaneous 3D 1H MRF/23Na MRI in brain at 7T
Gonzalo G Rodriguez1, Zidan Yu1,2, Lauren O'Donnell1, Liz Calderon1, Martijn A Cloos3,4, and Guillaume Madelin1,2

1Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, United States, 2Vilcek Institute of Graduate Biomedical Sciences, NYU Langone Health, New York, NY, United States, 3Centre for Advanced Imaging, The University of Queensland, Brisbane, Australia, 4ARC Training Centre for Innovation in Biomedical Imaging Technology, The University of Queensland, Brisbane, Australia

In this work, we assess the repeatability of proton density, T1, T2 and sodium density maps measured with simultaneous 3D 1H MRF/23Na MRI in the brain at 7T. We scanned seven healthy subjects three times each. The coefficients of variation (CV) were in the range 1-3% for mean values in GM, WM and CSF, and the intra-class correlation (ICC) was in range 0.44-0.99.

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Quantitative Sodium MRI of the Intervertebral Discs at 7T
Anna K. Scheipers1,2, Daniel Peach3, Armin M. Nagel1,4, Mark E. Ladd1,2,5, and Tanja Platt1

1Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 2Faculty of Physics and Astronomy, Ruprecht Karl University of Heidelberg, Heidelberg, Germany, 3Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 4University Hospital Erlangen, Institute of Radiology, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany, 5Faculty of Medicine, Ruprecht Karl University of Heidelberg, Heidelberg, Germany

23Na-MRI offers the possibility for non-invasive quantification of the sodium concentration in-vivo. The obtained functional information can provide interesting insights into the degeneration state of the human intervertebral discs1 (IVDs). The presented work thus aimed to quantify the tissue sodium concentration (TSC) in the human intervertebral discs via 23Na-MRI at 7T and to compare the obtained concentrations for two healthy volunteers after the course of one year. The estimate average concentration for all IVDs of both volunteers was found to be (96.5±8.8)mM and (113.6±9.5)mM, respectively.


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2D 23Na imaging using half-VERSE pulses
Marco L. Wittrich1,2, Armin M. Nagel1,3, Sebastian Schmitter1,4, Peter Bachert1,2, Mark E. Ladd1,2,5, and Fabian J Kratzer1,2

1Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 2Faculty of Physics and Astronomy, University of Heidelberg, Heidelberg, Germany, 3Institute of Radiology, University Hospital Erlangen, Friedrich‐Alexander‐Universität Erlangen‐Nürnberg (FAU), Erlangen-Nürnberg, Germany, 4Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany, 5Faculty of Medecine, University of Heidelberg, Heidelberg, Germany

In this work, a 2D radial 23Na sequence with half-VERSE pulses was developed to reduce SAR and achieve ultra-short TEs. Simulations and measurements of the slice profiles showed good agreement between full- and half-VERSE pulses with a maximal deviation in the FWHM of 7%.

In measurements, the TEmin was reduced from 1.41ms to 0.1ms by the use of half- instead of full-VERSE pulses. This resulted in an SNR gain of up to 18% in phantom, 7% in brain and 26% in calf measurements.

Last, rapid single-slice 23Na images (2.9x2.9x12mm3) were obtained in a clinically feasible acquisition time of 2:56min.


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Sodium 23Na-MRI relaxometry and tissue sodium content at 15.2T in a murine model of lymphangiogenesis
Shannon L Taylor1,2, Kevin D Harkins2,3, Daniel C Colvin2,3, Joseph M Rutkowski4, Mark D Does1,2,5, John C Gore1,2,3,6,7, and Rachelle L Crescenzi1,2,3

1Biomedical Engineering, Vanderbilt University, Nashville, TN, United States, 2Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States, 3Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, 4Medical Physiology, Texas A&M University College of Medicine, Bryan, TX, United States, 5Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, United States, 6Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN, United States, 7Physics and Astronomy, Vanderbilt University, Nashville, TN, United States

To investigate questions regarding the physiology of salt storage in skin and muscle and its relationship with lymphangiogenesis, we are developing sodium 23Na-MRI protocols for a mouse model of controllable lymphangiogenesis in adipose tissue. We acquired images at 15.2T from a UTE center-out sequence and quantified sodium longitudinal and bi-exponential transverse relaxation times and tissue sodium content (TSC) in the skin and muscle. Baseline TSC was reduced in animals undergoing lymphangiogenesis compared to littermates, while 23Na-relaxometry was similar. These results will be used for protocol development in this animal model to study sodium and lymphatic physiology.

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Multi-nuclear 1H/23Na Sodium MRI reveals relationship between intermuscular adipose tissue and tissue sodium content
Michael Pridmore1,2, Jorge Gamboa3, Michelle Ormseth3,4, Annette Oeser3, C. Michael Stein3, and Rachelle Crescenzi1,2,5

1Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, 2Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States, 3Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States, 4U.S. Department of Veterans Affairs, Tennessee Valley Healthcare System, Nashville, TN, United States, 5Biomedical Engineering, Vanderbilt University Medical Center, Nashville, TN, United States

Adipose tissue depositions between muscle compartments, known as intermuscular adipose tissue (IMAT), occurs in various conditions such as with obesity and aging. Tissue sodium content (TSC) measured by sodium magnetic resonance imaging increases with aging and may be associated with insulin resistance. In this study, we found a correlation between IMAT volume percentage and muscle TSC (r=0.52, p=0.01). Additionally, mean TSC in the IMAT region was higher than mean TSC in total muscle (p<0.001). The relationship between tissue sodium content and IMAT opens avenues for understanding the mechanisms of sodium storage and fat depositions in tissue compartments of the leg.

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Assessing the repeatability of tissue sodium concentration and characterizing the bi-exponential T2* decay signal in the calf
Ben Prestwich1 and Susan Francis1

1Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom

The repeatability of sodium (23Na) MRI measures must be understood to allow for its application in clinical studies of patient groups or response to therapy. A series of 23Na scans were performed on the calf of healthy subjects, this included a  3D GRE 23Na scan and phase sensitive B1 mapping to measure tissue sodium concentration (TSC). Subjects were scanned twice for assessment of repeatability of measures. A multi echo UTE scan was used to measure the T2* decay. TSC was shown to have a coefficient of variation of 16±4 % between visits and the bi-exponential decay curve was characterized.


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Towards standardising quantification in 23Na-MRI by synthetic polyacrylamide gel phantoms
Samuel Rot1,2, Aaron Oliver-Taylor3, Xavier Golay3,4, Bhavana Solanky1, and Claudia AM Gandini Wheeler-Kingshott1,5,6

1NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, United Kingdom, 2Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 3Gold Standard Phantoms, London, United Kingdom, 4Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, United Kingdom, 5Department of Brain & Behavioural Sciences, University of Pavia, Pavia, Italy, 6Brain Connectivity Centre Research Department, IRCCS Mondino Foundation, Pavia, Italy

Accuracy in quantitative 23Na (sodium) MRI is impacted by the quality of the signal calibration phantom. Agarose phantoms, the current benchmark, exhibit various unfavourable qualities. To move towards standardisation in 23Na-MRI, the objective was to develop a synthetic, polymer-based calibration phantom for traceable, reliable and accurate quantification in 23Na-MRI. Crosslinked polyacrylamide gel (PAG) was selected as the most suitable choice, for its bi-exponential 23Na T2 decay. Here, we present the T1, T2 properties and 23Na-MRI data of prototype PAG phantoms at different 23Na concentrations. PAG emerges as a reliable choice to replace the ubiquitous agarose gel phantom.

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2D ultra-short TE imaging for 23Na MRI using half-pulse excitation
Chengchuan Wu1, Leigh A. Johnston1, and Yasmin Blunck1

1Department of Biomedical Engineering, The University of Melbourne, Parkville, Australia

This work implements 2D ultra-short TE (UTE) imaging for 23Na using half-pulse excitation. The sequence was examined in numerical simulations and phantom experiments at 7T. 2D UTE 23Na imaging is shown to be less prone to partial volume effects than conventional radial 3D sodium imaging and able to produce high in-plane resolution 23Na images.

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Variability in Brain Sodium Total Sodium Content (TSC) Mapping Quantification Methods
Cameron Nowikow1,2, Paul Polak1,2,3, and Michael D Noseworthy1,2,4

1School of Biomedical Engineering, McMaster University, Hamilton, ON, Canada, 2Imaging Research Centre, St. Joseph's Healthcare, Hamilton, ON, Canada, 3Radiology, University of Colorado Anschutz Medical Campus, Aurora, CO, United States, 4Electrical and Computer Engineering, McMaster University, Hamilton, ON, Canada

Throughout the literature, the methods of quantifying total sodium concentration (TSC) brain maps vary. Some studies use a two calibration phantom approach, some use a one calibration phantom approach, and some use anatomical references to quantify the TSC maps. This abstract investigates the variability of using one method versus another to see if a chosen method will inherently bias the resultant maps. It was found that no bias is provided by one method versus another as they provide no significant variance to the data.

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Evaluation of 23Na relaxation times and concentrations in the patellar knee cartilage at 3T
Benedikt Kamp1, Miriam Frenken1, Jan M. Henke1,2, Daniel B. Abrar1, Armin M. Nagel3,4, Lena V. Gast3, Georg Oeltzschner5,6, Lena M. Wilms1, Sven Nebelung1, Gerald Antoch1, Hans-Jörg Wittsack1, and Anja Müller-Lutz1

1University Dusseldorf, Medical Faculty, Department of Diagnostic and Interventional Radiology, Dusseldorf, Germany, 2University Dusseldorf, Medical Faculty, Clinic of Nuclear Medicine, Dusseldorf, Germany, 3Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg 14 (FAU), Erlangen, Germany, 4Division of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 5Russell H. Morgan Department for Radiology and Radiological Science, The Johns Hopkins University 18 School of Medicine, Baltimore, MD, United States, 6F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States

23Na relaxation times and concentrations were measured in patellar cartilage with a clinical 3T MRI scanner. Because of the low resolution in 23Na imaging, a focus was set on reducing the influence of synovial fluid. To estimate T1 a biexponential two-compartment fitting model was applied. In T2* measurements, an inversion pulse was used to suppress the signal from synovial fluid. 23Na parameters were successfully determined and are in good accordance to literature results measured at higher field strengths.

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An iterative algorithm for resolving high-resolution 23Na Multi-Quantum Coherences MRI from prior 1H constraints
Christian Licht1, Lothar R. Schad1, and Stanislas Rapacchi2

1Computer Assisted Clinical Medicine, Heidelberg University, Mannheim, Germany, 2CRMBM, Aix Marseille University, CNRS, Marseille, France

Sodium (23Na) MRI offers great potentials to be a clinical marker for disease states. Besides the single quantum signal, the triple quantum signal of 23Na could provide novel and complementary information. 3D volumetric 23Na multi-quantum coherences imaging, however, suffers from poor signal-to-noise ratios, which limit spatial resolution. Finer structures such as tissue boundaries are therefore barely observable. In addition, partial volume effects become more severe and diminish image quality as well as diagnostic applicability. The purpose of this work is to develop a reconstruction framework that addresses these shortcomings of 23Na multi-quantum coherences imaging by utilizing 1H prior constraints.

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Fast 23Na-T2* relaxation parameter estimation in the human brain
Frank Riemer1, Marco Reisert2, Bhavana S Solanky3, Claudia AM Wheeler-Kingshott3,4,5, Golay Xavier3, Renate Grüner1,6, and Ivan I Maximov7

1MMIV, Haukeland University Hospital, Bergen, Norway, 2University Medical Center, Freiburg, Germany, 3UCL Queen Square Institute of Neurology, London, United Kingdom, 4Brain Connectivity Centre, IRCCS Mondino Foundation, Pavia, Italy, 5Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy, 6Department of Physics and Technology, University of Bergen, Bergen, Norway, 7Western Norway University of Applied Sciences, Bergen, Norway

Due to quadrupolar interactions, 23Na exhibits a bi-exponential T2. Previous approaches to estimate T2* have relied on simple least squares approaches or treating it as an inverse problem. Here we present a fast method based on Bayesian estimation and illustrate it on an in vivo dataset.


2H & Other Non-Protons

Exhibition Hall:S8 & S9
Monday 18:00 - 19:00
Contrast Mechanisms
Module : Module 31: Molecular Imaging

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Double Quantum Filtered 2H Measurements in Human Subjects Following Deuterium Oxide Loading
Robin Damion1,2,3, Daniel Cocking3,4, Hester Franks1, Daniel Wilkinson5,6, Matthew Brook2,6,7, Dorothee Auer1,2,3, and Richard Bowtell2,3,4

1School of Medicine, University of Nottingham, Nottingham, United Kingdom, 2NIHR Nottingham Biomedical Research Centre/Nottingham Clinical Research Facilities, University of Nottingham, Nottingham, United Kingdom, 3Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom, 4School of Physics & Astronomy, University of Nottingham, Nottingham, United Kingdom, 5Division of Medical Sciences and Graduate Entry Medicine, University of Nottingham, Nottingham, United Kingdom, 6MRC-Versus Arthritis Centre for Musculoskeletal Ageing Research, University of Nottingham, Nottingham, United Kingdom, 7School of Life Sciences, University of Nottingham, Nottingham, United Kingdom

Double-quantum filtered (DQF) deuterium spectra were obtained on a 3T scanner from lower leg and forearm muscles of volunteers whose deuterium abundance was increased by approximately 100 times through ingestion of deuterium oxide. Quadrupolar splitting frequencies of approximately 20 – 40 Hz were measured throughout the various muscle groups of the lower leg, with some regions showing little or no splitting. Although the DQF sequence considerably reduces the signal intensity, it has the advantage that it removes any isotropic signal component and therefore reveals an anisotropic component that might have been obscured.

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Deuterium Metabolic Imaging for 3D Mapping of Human Brain Metabolism at 3T
Philip M. Adamson1, Keshav Datta2, Ron Watkins2, Lawrence Recht3, Ralph Hurd2, and Daniel Spielman2

1Department of Electrical Engineering, Stanford University, Palo Alto, CA, United States, 2Department of Radiology, Stanford University, Palo Alto, CA, United States, 3Department of Neurology, Stanford University, Palo Alto, CA, United States

Deuterium metabolic imaging (DMI) is an emerging modality for investigating glucose metabolism with particular application for assessing the Warburg effect in tumors.  Although high field systems, e.g., 7T, provide maximal signal-to-noise ratio (SNR), implementation on widely available 3T scanners could have immediate clinical impact.   Using a birdcage 2H RF coil, modified gradient filter, and spherical k-space sampling, we demonstrate high-quality 3T whole-brain DMI of healthy adults following the oral ingestion of deuterated glucose. Results from these experiments provide critical data needed to explore DMI SNR, spatial resolution, and imaging time tradeoffs.

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Measuring Deuterium Relaxation Times in Human Brain at 7T following D2O Loading
Daniel Cocking1,2, Robin Damion2,3,4, Hester Franks5, Daniel Wilkinson6,7, Matthew Brook4,6,8, Dorothee Auer2,3,4, and Richard Bowtell1,2,4

1School of Physics and Astronomy, University of Nottingham, Nottingham, United Kingdom, 2Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom, 3Mental Health and Clinical Neuroscience, School of Medicine, University of Nottingham, Nottingham, United Kingdom, 4NIHR Nottingham Biomedical Research Centre/Nottingham Clinical Research Facilities, Queen's Medical Centre, Nottingham, United Kingdom, 5Division of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham, United Kingdom, 6MRC-Versus Arthritis Centre for Musculosketal Ageing Research, University of Nottingham, Nottingham, United Kingdom, 7Division of Medical Sciences and Graduate Entry Medicine, School of Medicine, University of Nottingham, Nottingham, United Kingdom, 8School of Life Sciences, University of Nottingham, Nottingham, United Kingdom

Deuterium magnetic resonance measurements are of growing interest in the field of metabolic imaging. Four subjects were loaded with D2O to ~1.5% enrichment over a 6-week period for a parallel study of immune cell proteomics. We report T1 and T2relaxation times of deuterium in HDO measured from cerebral spinal fluid (CSF), white matter (WM) and grey matter (GM) in vivo, using a 7T Philips Achieva scanner with a dual-tuned 2H/1H birdcage coil. 2H T1 values are significantly shorter than corresponding values for 1H in H2O, due to the quadrupolar 2H relaxation, whilst T2* values are comparable to 1H values.


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2H multi-echo bSSFP highlights pancreatic ductal adenocarcinomas and distinguishes them from pancreatitis in murine models
Elton Tadeu Montrazi1, Qingjia Bao2, Dana Peters3, Keren Sasson1, Lilach Agemy1, Avigdor Scherz1, and Lucio Frydman1

1Weizmann Institute of Science, Rehovot, Israel, 2Chinese Academy of Sciences, Wuhan, China, 3Yale School of Medicine, New Haven, CT, United States

Pancreatic ductal adenocarcinoma (PDAC) is among the deadliest of cancers. We recently showed that deuterium metabolic imaging (DMI) can serve as a potential method for PDAC’s detection; we also demonstrated that multi-echo balanced steady-state free precession (ME-bSSFP) can greatly increase DMI’s SNR per unit time compared to CSI acquisitions. This study synergizes these aspects, to provide high resolution maps on the metabolic kinetic of PDAC and pancreatitis mouse models.  ME-bSSFP at 15.2T showed that lactate accumulated in different kinds of tumors. In general, glucose was also uptaken by the tumors, and HDO concentrated in them.

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Deuterated α-ketoglutarate has the potential to detect the isocitrate dehydrogenase 1 mutation in low-grade gliomas.
Celine Taglang1, Georgios Batsios1, Meryssa Tran1, Anne-Marie Gillespie1, Sabrina Ronen1, and Pavithra Viswanath1

1Radiology, University of California San Francisco, San Francisco, CA, United States

2H-MRS is a novel method of imaging flux through metabolic pathways. Here, we show that 2H-MRS can be used to probe the isocitrate dehydrogenase 1 mutation (IDHmut), which catalyzes production of the oncometabolite 2-hydroxyglutarate (2-HG) in low-grade gliomas. Our results indicate that 2-HG production from [3,3’-2H]-α-KG can be specifically observed in IDHmut cells. Importantly, treatment with an IDHmut inhibitor, which is in clinical trials for low-grade glioma patients, results in a significant reduction in 2-HG production from [3,3’-2H]-α-KG in IDHmut cells. Our results point to the potential of [3,3’-2H]-α-KG as a probe of glioma IDHmut status and response to therapy.


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Prior knowledge fitting of 2H-labeled glutamate in the 1H MRS spectrum to map neural metabolism following ingestion of deuterated glucose
Neil Wilson1, Abigail Cember1, Laurie Rich1, Puneet Bagga2, Ravi PR Nanga1, Sophia Swago3, Deepa Thakuri1, Mark Elliott1, Mitchell Schnall1, John Detre4, and Ravinder Reddy1

1Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States, 2Diagnostic Imaging, St Jude Children's Research Hospital, Memphis, TN, United States, 3Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, United States, 4Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States

Deuterium metabolic imaging (DMI) has brought about a renewed interest in the application of 2H-labeled substrates to map metabolism in vivo, yet deuterium spectroscopy remains challenging. We have shown that metabolism of deuterium-labeled glucose can be observed in the proton spectrum through a reduction in signal of downstream metabolites in a technique called quantitative exchange label turnover MRS (qMRS). Here, we show that prior knowledge fitting that includes unlabeled as well as deuterium-labeled forms of glutamate can be used to map neural metabolism reliably with qMRS.

 


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Deuterium metabolic imaging of a healthy human brain after oral glucose uptake on a clinical 3T MRI scanner
Michael Vaeggemose1,2, Rolf F. Schulte3, Christoffer Laustsen2, Esben Søvsø Szocska Hansen2, and Nikolaj Bøgh2

1GE Healtcare, Broendby, Denmark, 2MR Research Centre, Department of Clinical Medicine, Aarhus University, Aarhus N, Denmark, 3GE Healtcare, Munich, Germany

Deuterium metabolic imaging (DMI) has emerged as a novel biomarker comparable to 18FDG PET by adding quantitative metabolic kinetic capabilities at high field (>3T). The main barrier for widespread clinical adoption, is the availability of high field clinical scanners. The aim of this study is to determine if DMI for neurological applications is feasible on a clinical 3T MRI scanner. Our findings suggests that it is indeed feasible, and that metabolic breakdown product (Glutamine/Glutamate) can be quantified around 120 min after ingestion.

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Monitoring water uptake in the human body during oral loading of heavy water using deuterium magnetic resonance
Daniel Cocking1,2, Robin Damion2,3,4, Hester Franks5, Daniel Wilkinson6,7, Dorothee Auer2,3,4, Matthew Brook4,6,8, and Richard Bowtell1,2,4

1School of Physics and Astronomy, University of Nottingham, Nottingham, United Kingdom, 2Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom, 3Mental Health and Clinical Neuroscience, School of Medicine, University of Nottingham, Nottingham, United Kingdom, 4NIHR Nottingham Biomedical Research Centre/Nottingham Clinical Research Facilities, Queen's Medical Centre, Nottingham, United Kingdom, 5Division of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham, United Kingdom, 6MRC-Versus Arthritis Centre for Musculosketal Ageing Research, University of Nottingham, Nottingham, United Kingdom, 7Division of Medical Sciences and Graduate Entry Medicine, School of Medicine, University of Nottingham, Nottingham, United Kingdom, 8School of Life Sciences, University of Nottingham, Nottingham, United Kingdom

Deuterium magnetic resonance imaging and spectroscopy at 7T has been used to follow the deuterium concentration in the brain over an ~eight-hour period while subjects orally-loaded with D2O to 100x natural abundance. Changes in deuterium concentration of ~ 0.1% can be readily monitored in 2H spectra acquired in 1 minute and images acquired in 7.5 minutes. The change in deuterium concentration estimated from 2H spectra is in agreement with the value calculated from cumulative D2O dose and body mass and the signal changes measured from ROIs in the brain have similar time-courses, with relative signal strengths dictated by T2*-weighting.


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Performance of a TEM 2H/1H 7T head coil
Minghao Zhang1, Jabrane Karkouri1, Daniel Atkinson1, Brandon Tramm2, Scott Schillak2, and Christopher T. Rodgers1

1Wolfson Brain Imaging Centre, University of Cambridge, Cambridge, United Kingdom, 2Virtumed LLC, Minneapolis, MN, United States

Deuterium metabolic imaging (DMI) has been proposed as a means to probe glucose uptake and metabolism. It is expected that DMI will reveal important changes in cancer and neurodegeneration. We constructed a dual-tuned 7T 2H/1H array coil and assessed appropriate RF power limits by EM modelling. The coil performance has been assessed with phantom scans on a D2O-enriched agar phantom. We are now ready to start human in vivo scanning.


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An old tracer learns new tricks: Imaging cerebral glucose uptake with deuterated 2-deoxy-d-glucose-2,2-d2
Xiao Gao1,2,3, Jeremy Gordon2, Kai Qiao2, Ilona Polvoy2, Tanner Nickles2,3, David Wilson2, and Myriam M. Chaumeil1,2,3

11 Department of Physical Therapy and Rehabilitation Science, University of California, San Francisco, San Francisco, CA, United States, 2Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 3UC Berkeley-UCSF Bioengineering Program, University of California, San Francisco, San Francisco, CA, United States

2-deoxy-d-glucose (2-DG) is a glucose analog widely used in FDG-PET imaging as a biological tracer of glucose uptake. This study innovatively redirects its application in 2H NMR by using a deuterated version of 2-DG (2-DG-d2) and explores its imaging potential in mapping glucose uptake without ionizing radiation. A workflow is described here regarding multi-band RF pulse design and bSSFP sequence optimization, which enables a rapid 2H imaging with high sensitivity. Both in vitro and in vivo imaging results have validated the pulse sequence’s specificity and sensitivity of detecting 2-DG-d2 with high spatial resolution, inspiring its further implementation in the future.

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STEAM-based proton observed carbon edited (POCE) 13C magnetic resonance spectroscopy without decoupling at 7T
Ying Xiao1,2, Daniel Wenz1, and Lijing Xin1

1Animal imaging and technology (CIBM), EPFL, Lausanne, Switzerland, 2Laboratory for Functional and Metabolic Imaging (LIFMET), EPFL, Lausanne, Switzerland

1H-[13C] NMR spectroscopy is a powerful tool to study metabolic information in human brain. At 7T, the proton-observed carbon-edited (POCE) method provides high sensitivity and improved spectral resolution. However, the application in human brain has more constraints due to high RF power deposition at 7T. In this study, we investigated the performance of the STEAM-based POCE sequence without decoupling to reduce the RF power. The phantom experiments and the Monte Carlo simulations demonstrated high-quality 1H-[13C] MR spectra and the accurate quantification of 13C-labeled glutamate and glutamine without decoupling at 7T.


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Optimization of a Phase-Cycled bSSFP for Improved SNR-efficiency in Fluorine-19 MRI at 3T
Lawrence Michael Lechuga1, Paul Begovatz2, Bruce D Collick3, and Sean B Fain4

1Medical physics, University of Wisconsin Madison, Madison, WI, United States, 2Medical Physics, University of Wisconsin, Madison, Madison, WI, United States, 3Radiology, University of Wisconsin, Madison, Madison, WI, United States, 4Radiology, University of Iowa, Iowa City, WI, United States

The focus of this work is on the optimization of fluorine-19 enabled SPGR, bSSFP, and phase cycled bSSFP (bSSFP-C) pulse sequence parameters to improve signal acquisition efficiency for perfluoropolyether (PFPE) at 3T with a multi-channel coil. Bloch simulations and subsequent experimental validation were performed to determine the parameters to maximize the SNR-efficiency for each sequence. Acquisitions of the optimized SPGR, bSSFP, and bSSFP-C were then assessed for their achieved SNR-efficiency. bSSFP and bSSFP-C demonstrated increased sensitivity compared to SPGR. Feasibility of bSSFP-C with parallel imaging demonstrated the ability to reduce scan times by 2-fold without compromising the qualitative image quality. 


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1H-31P Cross-polarization: A new frontier to study myelin in white matter
Alex Ensworth1,2, Cariad-Arianna Knight1, Piotr Kozlowski1,2,3,4, Cornelia Laule1,2,3,5, Alex L. MacKay1,3,4, and Carl A. Michal1

1Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada, 2International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Vancouver, BC, Canada, 3Radiology, University of British Columbia, Vancouver, BC, Canada, 4UBC MRI Research Centre, University of British Columbia, Vancouver, BC, Canada, 5Pathology & Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada

Phosphorus (31P) nuclear magnetic resonance spectroscopy (NMR) has the potential to play a valuable role in the characterization of myelin due to the concentration of 31P present in myelin phospholipids. This study demonstrates the feasibility of detecting 31P through cross polarization (CP) and magnetization transfer (MT) from hydrogen in preserved murine spinal cord and fresh porcine brain. The results demonstrate the detection of myelin phospholipids through these NMR techniques and provide compelling proof of concept for the potential applicability of MT-CP in 31P MRI for non-ambiguous myelin characterization in vivo.


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A dictionary-based approach for the determination of pH values using 31P MRS
Vanessa L. Franke1,2, Johannes Breitling1, Renate Bangert1, Mark E. Ladd1,2,3, Peter Bachert1,2, and Andreas Korzowski1

1Division of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 2Faculty of Physics and Astronomy, University of Heidelberg, Heidelberg, Germany, 3Faculty of Medicine, University of Heidelberg, Heidelberg, Germany

The determination of tissue pH under varying cellular conditions by means of 31P MRS is challenging. We propose a concept for a dictionary-based approach for pH estimation under different chemical conditions. As proof-of-concept, we demonstrate its feasibility for a limited subset of conditions using the chemical shifts of ATP and their dependence on pH and magnesium. For the presented subset, the estimated pH values are in good agreement with the prepared values. However, for application to in vivo data, an extension of the dictionary to include other influences, e.g. of other ions, is required and the subject of ongoing work.

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Functional 31P MRS in the visual cortex at 9.4 T
Rolf Pohmann1 and Klaus Scheffler1,2

1Magnetic Resonance Center, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, 2Biomedical Magnetic Resonance, University of Tübingen, Tübingen, Germany

Even after a large number of studies with varying outcome, the effect of brain activation on the 31P spectrum is still unclear. Here, the SNR gain expected from a field strength of 9.4 T is used to determine changes in the metabolite peaks during a 5 min stimulus. In spite of the high SNR and spectral quality, no significant variations were found. Especially the amplitude and linewidth of the PCr-peak did not change, and, while the signal of extracellular inorganic phosphate was well visible after averaging over all subjects, no variations in its amplitude or position were observed.

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Metabolic information in APT-CEST  - A combined 1H and 31P MRS study
Jan-Ruediger Schuere1, Eike Steidl1, Elisabeth Neuhaus2, Manoj Shrestha3, Elke Hattingen1, and Ulrich Pilatus1

1Neuroradiology, Goethe University Hospital Frankfurt, Frankfurt am Main, Germany, 2Goethe University Hospital Frankfurt, Frankfurt am Main, Germany, 3Brain Imaging Center, Goethe University, Frankfurt am Main, Germany

In this work, APT-CEST imaging in combination with 1H and 31P spectroscopy was performed to investigate 17 patients with different brain tumors. A synergistic analysis should help for a better understanding of the APT-CEST contrasts such as MTRasym with regard to tumor metabolism and further physiological relationships such as the pH-sensitivity.


Contrast Agents

Exhibition Hall:S8 & S9
Tuesday 9:15 - 10:15
Contrast Mechanisms
Module : Module 23: MR Contrasts

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Quantification of Gadolinium Deposition in the Brain Using Quantitative MRI
Angie Landgren Liu1, Ida Blystad1,2, and Anders Tisell2,3

1Department of Radiology, Linköping University, Linköping, Sweden, 2Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden, 3Department of Medical Radiation Physics, Linköping University, Linköping, Sweden

Gadolinium-based contrast agents (GBCAs) used for MRI are known to cause gadolinium depositions in the brain. In this study we show that the using quantitative MRI we can detect gadolinium depositions after fewer doses of GBCAs than generally seen on conventional MRI. We included 43 patients that were earlier enrolled in a prospective longitudinal cohort study of early Multiple Sclerosis. All patients had received the linear GBCA Magnevist. Measurements of the longitudinal relaxation rate R1 showed a significant increase in dentate nuclei, globi pallidi and frontal grey matter.

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Development of a fluorescent, MRI contrast agent (Gd-DOTA-coumarin) to improve measurement of Gd concentration
Ayesha Bharadwaj Das1, Jin Zhang1, Ching-Hsuan Tung1, James Kelly1, Youssef Zaim Wadghiri2, and Gene Kim1

1Radiology, Weill Cornell Medicine, New York, NY, United States, 2Radiology, Grossman School of Medicine, New York, NY, United States

Measurement of gadolinium concentration in DCE-MRI is a significant step but remains challenging. In this study, we developed a novel Gd-based contrast agent Gd-DOTA-coumarin that can directly quantify gadolinium concentration through florescence measurement using a plate reader. The preliminary results shows that the longitudinal relaxivity in plasma at 7T is 8.6 mM-1s-1 and the limit of detection for the fluorescence measurement is 100 µM in blood. This new agent has also been successfully used for in vivo MRI experiments. 

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A serial dilution study of four Gadolinium-based contrast agents for the detection of low-Gd concentration
Emilie Poirion1, Corentine Marie2, Dann Fournier1, Remy Carrion1, and Julien Savatovsky1

1Hospital Foundation A. de Rothschild, Imaging department, Paris, France, PARIS, France, 2Paris Brain Institute, Paris, France

Gadolinium-enhanced imaging provides valuable information in clinical practice. Concerns raised by gadolinium depositions favors strategies reducing injected doses in patients requiring repeated scans. We designed four phantoms containing serial dilutions of four gadolinium-based contrast agents to compare their efficacy for low-Gd concentration detection in clinically used MR sequences, based on signal intensity and contrast-to-noise ratio. We performed a preliminary study comparing T1-TSE, FLAIR and FLAIR with optimized parameters on these phantoms. The optimized FLAIR sequence shows an efficient detection of low concentrations, in particular using gadobutrol or gadoteridol.


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Influence of Glycosaminoglycans on the Transmetallation and Transchelation Kinetics of Gadolinium from GBCAs in the Presence of ZnCl2
Patrick Werner1, Patrick Schuenke2, Matthias Taupitz3, and Leif Schröder1

1Deutsches Krebsforschungszentrum, Heidelberg, Germany, 2Physikalisch-Technische Bundesanstalt, Berlin, Germany, 3Charite, Berlin, Germany

Relaxation rates in aqueous solutions containing 30-100 µM heparin as well as 150 µM GBCA were measured as a function of time. Different ZnCl2 stimuli with concentrations between 0.125-4 mM were used as competing ions that initiate a transmetallation and a transchelation process of the Gd3+ ion from GBCAs to glycosaminoglycans. The time resolved relaxometry measurements indicate that glycosaminoglycans play a concentration-dependent double role as competing chelator structures. They foster the thermodynamic instability of intact GBCA by sequestering Gd3+ from the contrast agent but simultaneously interact with competing ions and thus cause a reduced kinetic instability.

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Enhancement of the Lymphatic System Following Intravenous Administration of Ferumoxytol
Daniel F Young1,2, Surendranath Veeram Reddy1, Abhay Veeram Divekar 1, Sheena Pimpalwar1, Tarique Hussain1, and Joshua S Greer1

1Pediatrics, UT Southwestern, Dallas, TX, United States, 2Pediatrics, Children's Health Medical, Dallas, TX, United States

Lymphatic Imaging is increasingly important in the management of patients with Congenital Heart Disease. It is not known how the intravenous contrast agent ferumoxytol influences this imaging. This retrospective review of 120 patients suggests that intravenously given ferumoxytol rapidly enters the lymphatic system. The resultant shortening of T2 relaxation causes a degradation in T-2 weighted lymphangiography. Conversely, T1-weighted angiography shows clear depiction of the thoracic lymphatic duct immediately after ferumoxytol infusion. This enhancement depends on fasting status of the patient. The classic mechanism of macrophage uptake of iron oxide for MR lymphangiography does not explain the timing of these findings.  


Novel & Multiple Contrast Techniques

Exhibition Hall:S8 & S9
Tuesday 10:15 - 11:15
Contrast Mechanisms
Module : Module 23: MR Contrasts

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The electric potential of lipid vesicle surfaces affects T2 and magnetization transfer
Kyeongseon Min1, Jongho Lee1, and Jang-Yeon Park2,3

1Department of Electrical and Computer Engineering, Seoul National University, Seoul, Korea, Republic of, 2Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Korea, Republic of, 3Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, Korea, Republic of

In this study, the effect of the electric potential of lipid vesicle surfaces on MR relaxation times and magnetization transfer was investigated. Negatively charged multilamellar vesicles were formed, and their surface potential was adjusted by changing the sodium ion concentration. While the zeta potential changed from -57.0 mV to –21.6 mV, T2 increased from 48.2 ms to 67.4 ms, PSR decreased from 5.5% to 5.0%, kmf decreased from 82.7 Hz to 40.6 Hz, and T2b increased from 177.8 μs to 189.1 μs. These observations are expected to be utilized to image action potential generated in white matter.

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Cell swelling induces measurable changes in T2 relaxation time
Seong-min Kim1, Kyeongseon Min2, and Jang-Yeon Park1,3

1Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Republic of Korea, Suwon, Korea, Republic of, 2Laboratory for Imaging Science and Technology, Department of Electrical and Computer Engineering, Seoul National University, Seoul, Republic of Korea, Seoul, Korea, Republic of, 3Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, South Korea, Suwon, Korea, Republic of

To find novel contrast mechanisms of neuronal activity, our group previously demonstrated using in vitro cells that changes in membrane potential induces changes in MR parameters. There are two plausible factors that may contribute when the membrane potential changes: the dynamics of hydration water, and cell swelling. In this study, we investigated if cell swelling can contribute to changes in T2 under a constant membrane potential using non-excitable cells. As a result, we found that cell swelling induces measurable changes. As the cell size increased, the short T2 component caused by the intracellular water increased and vice versa.

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T2-weighted Free-breathing 3D Abdominal Imaging Using Magnetization Prepared SPGR
Zheng Zhong1, Xiaozhi Cao1, Congyu Liao1, Zhitao Li1, Ali Syed1, Kawin Setsompop1, and Shreyas S. Vasanawala1

1Radiology, Stanford University, Stanford, CA, United States

T2-weighted imaging is conventionally obtained using multi-slice 2D or 3D fast spin-echo (FSE) sequences. However, FSE suffers from severe specific absorption rate (SAR) issue and motion artifact particularly in the abdomen. A potential approach to address these challenges is using T2-prepared 3D SPGR sequence with a non-Cartesian trajectory such as cones. In this study, we proposed a T2-prepared 3D-cones sequence to achieve T2-weighted abdominal imaging with free breathing. The feasibility of the technique was tested on both healthy subjects and patients.

1526
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Iron, myelin and cortical brain ageing: investigating correlations between QSM, R2, R2* and R2'
Ana-Maria Oros-Peusquens1, Luis Hau1, and N. Jon Shah1,2,3,4

1Institute of Neuroscience and Medicine INM-4, Research Centre Juelich, Juelich, Germany, 2Department of Neurology, RWTH Aachen University, Aachen, Germany, 3Faculty of Medicine, JARA, RWTH Aachen University, Aachen, Germany, 4Institute of Neuroscience and Medicine 11, INM-11, JARA, Research Centre Juelich, Juelich, Germany

Understanding MR contrast/relaxation in vivo based on myelin and iron content is an on-going endeavour. We study the age dependence and correlation of QSM, R2, R2’ and R2* in vivo with whole brain coverage, investigating whether the interplay between demyelination and iron increases explains changes in these four qMRI parameters. The observations suggest that age-related influences proceed mostly by the intra-cellular iron effect on QSM and demyelination effect on R2.

1527
Computer 77
MRI-based liver vascular morphology and surface nodularity quantification for assessment of portal hypertension
Yikun Wang1, Ruokun Li1, Jiahao Zhou1, Chengyan Wang2, and Fuhua Yan1

1Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China, 2Human Phenome Institute, Fudan University, Shanghai, China

Hepatic venous pressure gradient (HVPG) measurement is the standard technique of assessing portal pressure. Portal hypertension is mainly caused by increased intrahepatic resistance to portal blood flow related to structural changes, including fibrosis and vascular distortion. Here, we used dynamic contrast-enhancement (DCE) MRI to quantify segmented liver contours and vascular morphology in evaluating portal pressure. Our study showed the MRI measurements correlated well with HVPG measurement. A non-invasive prediction model combining liver vascular morphology and liver surface nodularity (LSN) can potentially be used to assess clinically significant portal hypertension (CSPH).

1528
Computer 78
Optimization of combined spin- and gradient-echo EPI in fMRI via in- and through-plane acceleration
Elizabeth G. Keeling1,2, Maurizio Bergamino1, Sudarshan Ragunathan1, C. Chad Quarles1, and Ashley M. Stokes1

1Barrow Neurological Institute, Phoenix, AZ, United States, 2Arizona State University, Tempe, AZ, United States

BOLD-fMRI is widely used to study brain activity but suffers from signal dropout near air-tissue interfaces and lack of sensitivity to microvasculature. A combined spin- and gradient-echo (SAGE) acquisition, previously implemented for perfusion MRI, may be able to reduce signal dropout and provide sensitivity to microvasculature for fMRI applications. SAGE-fMRI presents its own challenges, namely lack of full brain coverage and poor temporal and spatial resolution. These challenges can be overcome by combining in-plane and through-plane acceleration factors. This study aims to optimize the SAGE-fMRI protocol, balancing acceleration of acquisition with image quality.

1529
Computer 79
Simplified fast multislice T1app mapping for improved cerebral blood flow arterial spin labeling MRI
Yang Ji1, Dongshuang Lu1, and Phillip Zhe Sun1,2

1Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States, 2Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, United States

Given the association between MT and longitudinal relaxation rate (1/T1), we hypothesized that T1app, under RF saturation, can be estimated from T1 to improve CBF quantification. Using Wistar rats, we showed that the T1app over T1 ratiometric map (i.e., T1app/T1) is homogeneous despite large regional variation in T1 and T1app maps. Therefore, we postulated that T1app map could be estimated from the routine T1 map instead of T1app, which is cumbersome and not straightforward. A fast T1app estimation provides satisfactory Cerebral blood flow (CBF) measurement across the brain, not affected by the concomitant MT effect.  

1530
Computer 80
Deep learning based image reconstruction for improved 3D multiparameter mapping and synthetic MR imaging
Ken-Pin Hwang1, Kim O. Learned2, Naoyuki Takei3, R. Marc Lebel4, Peter Johansson5, David Shin6, Xinzeng Wang7, Catharina Petersen5, Marcel Warntjes5, Suchandrima Banerjee6, and Linda Chi2

1Department of Imaging Physics, The University of Texas M.D. Anderson Cancer Center, Houston, TX, United States, 2Department of Neuroradiology, The University of Texas M.D. Anderson Cancer Center, Houston, TX, United States, 3GE Healthcare, Hino, Japan, 4Global MR Applications and Workflow, GE Healthcare, Calgary, AB, Canada, 5SyntheticMR, AB, Linkoping, Sweden, 6GE Healthcare, Menlo Park, CA, United States, 7GE Healthcare, Houston, TX, United States

Brain data with high grade glioma were acquired with a 3D multiparameter mapping sequence and reconstructed with a novel deep learning based method (DL Recon). Synthetic images created from maps fitted to the reconstructed images were rated by experienced radiologists for image quality and diagnostic utility. Images from the DL Recon workflow consistently rated equal to or better than those created from conventional reconstruction. We find that the SNR and resolution benefits of 3D DL Recon extend to improve the resulting relaxation maps and subsequent synthetic images.


1531
Computer 81
GESSE Measurements at varying spin echo times in human brain at 7T
Ross Shaw1, Penny Gowland2, and Richard Bowtell3

1Physics, University of Nottingham, Nottingham, United Kingdom, 2University of Nottingham, Nottingham, United Kingdom, 3SPMIC, University of Nottingham, Nottingham, United Kingdom

Simultaneous measurements of R2 and R2’ using the Gradient Echo Sampling of a Spin Echo (GESSE) sequence were made at multiple spin echo times in four volunteers. Secondary measurements of R2 and R2* were made using classical Spin Echo and Gradient Echo approaches. The variation in measured relaxation rates are explored and show a general overestimation of transverse relaxation in white and grey matter when measured with GESSE suggesting a lack of complexity in the model used to describe the GESSE signal.


1532
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Effect of post mortem interval and body temperature on tissue susceptibility
Fábio Seiji Otsuka1, Khallil Chaim2, Maria Otaduy2, and Carlos Salmon1

1InBrain, Departamento de Física, Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, Brazil, 2Departamento de Radiologia e Oncologia, Faculdade de Medicina, Universidade de Sao Paulo, São Paulo, Brazil

On this study, the impact of temperature and postmortem interval (PMI) on QSM were evaluated for a total of 21 subjects. Temperature and PMI were correlated with values from CSF, white matter (WM) and gray matter (GM). Only the GM presented a significant correlation with both temperature and PMI.

1533
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Generating MRI reporter genes using a Protein Optimizing Evolving Tool (POET)
Alexander Robert Bricco1, Illiya Miralavy1, Shaowei Bo2, Or Perlman3, Christian Farrar3, Mike McMahon2, Wolfgang Banzhaf1, and Assaf Gilad1

1Michigan State University, East Lansing, MI, United States, 2Johns Hopkins University, Baltimore, MD, United States, 3Harvard Medical School, Boston, MA, United States

Reporter genes for MRI allow for the non-invasive observation and evaluation of gene and cell therapies which are being rapidly developed. Traditional methods of gene optimization failed to improve reporter gene quality. We developed and employed a novel machine learning program called the Protein Optimizing Evolving Tool (POET). Using POET we have discovered peptides which provide more contrast than prior efforts and also display properties that challenge prior knowledge on the functions of these genes.

1534
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Iron Imaging with 3D Multi-Gradient Recalled Echo (3D-mGRE) and 3D Ultra-short Echo (3D-UTE) Sequences: A Phantom Comparison Study
Humberto Monsivais1, Xin Shen2, Antonia Susnjar2, Ali Caglar Özen3, Serhat Ilbey 3, Mark Chiew 4, Aparna Karnik5, Uzay Emir1,2, and Ulrike Dydak1,6

1School of Health Sciences, Purdue University, West Lafayette, IN, United States, 2Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, United States, 3Department of Radiology, Medical Physics, University of Freiburg, Freiburg, Germany, 4Wellcome Centre for Integrative Neuroimaging, University of Oxford, England, United Kingdom, 5Elmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, United States, 6Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, United States

This phantom study aimed to compare a conventional multi-gradient recalled echo (mGRE) sequence and an ultra-short echo (UTE) with a novel 3D rosette k-space trajectory for iron (Fe) detection and quantification. Conventional mGRE imaging may underestimate massive Fe load due to the long echo times (TEs). Advanced UTE techniques with TEs 10-200 times shorter than conventional mGRE sequences can capture fast signal decay caused by high Fe content. Our preliminary results show that both sequences yield a strong linear relationship between R2* values and Fe concentrations, with the 3D-UTE results aligning more with expected R2* values for high Fe concentrations.


Diffusion Artifacts, Acquisition & Applications I

Exhibition Hall:S8 & S9
Tuesday 14:30 - 15:30
Contrast Mechanisms
Module : Module 16: Diffusion

1622
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Effects of T2*-blurring on effective resolution of diffusion MRI with spiral and EPI readout trajectories at 7T
Sajjad Feizollah1,2 and Christine L. Tardif1,2,3

1Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada, 2McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, QC, Canada, 3Department of Biomedical Engineering, McGill University, Montreal, QC, Canada

Several strategies have been used to increase the SNR of diffusion-weighted imaging including the use of partial Fourier EPI and spiral trajectories. Although these methods increase the SNR and sequence efficiency significantly, they affect the image quality and resulting diffusion measures causing loss of microstructural information of fine structures. Blurring caused by the T2* decay is one of the important effects resulting in low effective resolutions. Shorter T2* at ultra-high magnetic fields reduces the effective resolution in spite of providing higher SNR. This study shows about 60% lower effective resolution than the nominal resolution using PF-EPI and spiral at 7T.

1623
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Head-tilting in diffusion weighted imaging to reduce susceptibility-induced signal dropout in the frontal cortex: feasibility study.
Jae-Kyun Ryu1, Chuluunbaatar Otgonbaatar2, Seok-Jin Yeo3, Jeonghak Song4, Eunseok Jang4, Jaebin Lee4, and Hackjoon Shim1,4

1Medical Imaging AI Research Center, Canon Medical Systems Korea, Seoul, Korea, Republic of, 2Department of Radiology, Seoul National University, Seoul, Korea, Republic of, 3Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Korea, Republic of, 4Magnetic Resonance Business Unit, Canon Medical Systems Korea, Seoul, Korea, Republic of

Diffusion-weighted MRI is a highly sensitive to alteration in the movement of water molecules and allows the assessment of various pathologies. Interpretation of the changes can be obscured by signal-dropout due to tissue-air susceptibility difference at the boundaries of nasal cavities, especially in the prefrontal region. The head tilting (chin-up) method during the brain scan could be considered as an accessible way without additional hardware- or sequence to prevent those susceptibility-induced signal-dropout. We demonstrated DWI with head-tilting (up to 20°) resulted in had less severe signal dropout and improved image quality than normal scan in the prefrontal cortex.

1624
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Characterizing Heterogeneity of Gliomas with a Fractional-order Calculus Diffusion Model
Wenbo Sun1, Dan Xu1, Yunfei Zhang2, Yongming Dai2, and Haibo Xu1

1Department of Radiology, Zhongnan Hospital of Wuhan University, Wuhan, China, 2Central Research Institute, United Imaging Healthcare, Shanghai, China

This study aimed to investigate whether the FROC diffusion model could help predict molecular biomarkers in gliomas. It was found that FROC has the potential in comprehensively characterizing heterogeneity of gliomas, not only in glioma grading, but also in predicting tumor cell proliferation rate and isocitrate dehydrogenase-1 (IDH-1) gene mutation status.

1625
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Phase Stabilization with Motion Compensated Gradient Waveforms for Brain Diffusion Weighted Imaging (DWI)
Ariel J Hannum1,2,3, Tyler E Cork1,2,3, Merlin J Fair1,2, Kawin Setsompop1,4, and Daniel B Ennis1,2

1Department of Radiology, Stanford University, Stanford, CA, United States, 2Division of Radiology, Veterans Administration Health Care System, Palo Alto, CA, United States, 3Department of Bioengineering, Stanford University, Stanford, CA, United States, 4Department of Electrical Engineering, Stanford University, Stanford, CA, United States

Conventional brain DWI acquisitions are sensitive to physiological motion, which causes shot-to-shot phase variations between images. This makes accelerated, multi-shot imaging harder to achieve. We propose that motion compensated gradient waveforms will improve shot-to-shot phase stability. We found that both velocity and acceleration gradient moment nulling, particularly when diffusion encoding along the z-axis, improves shot-to-shot phase consistency at different cardiac trigger-delay times and reduces phase variation between repetitions for a fixed trigger-delay. We conclude that motion-compensated diffusion encoding gradients improve the phase stability between image shots.

1626
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Pulse-width modulation for simultaneous concomitant field compensation and diffusion weighting in double diffusion encoding
Julian Rauch1,2, Frederik B. Laun3, Dominik Ludwig1, Maxim Zaitsev4,5, Mark E. Ladd1,2,6, Peter Bachert1,2, and Tristan A. Kuder1

1Division of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 2Faculty of Physics and Astronomy, Heidelberg University, Heidelberg, Germany, 3Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany, 4Medical Physics, Department of Radiology, Faculty of Medicine, Medical Center University of Freiburg, Freiburg, Germany, 5High Field Magnetic Resonance Center, Center for Medical Physics and Biomedical Engineering Medical University of Vienna, Vienna, Austria, 6Faculty of Medicine, Heidelberg University, Heidelberg, Germany

Intravoxel dephasing caused by Maxwell or concomitant fields can lead to image artifacts as signal voids or falsify the quantitation. In this study, a framework for compensation of concomitant field effects for double diffusion encoding sequences with single pairs of bipolar gradients on each axis is presented. Using pulse-width modulated oscillating gradients with an optimized timing of the oscillating lobes allows for simultaneous diffusion weighting and compensation of the self-squared terms of the concomitant fields as well as for the cross terms. Simulations with realistic parameters reveal the possibility of a signal gain with the proposed method without significant drawbacks.

1627
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Segmented accelerated multi-shot diffusion imaging combined with reverse polarity gradient (RPG) correction
Jens Johansson1, Kerstin Lagerstrand2,3, Pär-Arne Svensson4, Jr-yuan George Chiou5, Bruno Madore5, Hanna Hebelka1,4, and Stephan Maier1,5

1Department of Radiology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden, 2Medical radiation sciences, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden, 3Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Gothenburg, Sweden, 4Department of Radiology, Sahlgrenska University Hospital, Gothenburg, Sweden, 5Department of Radiology, Brigham and Women's Hospital, Boston, MA, United States

The inherent low bandwidth along the phase encoding direction in diffusion-weighted imaging with echo-planar signal readout can cause severe image distortions. These artifacts arise near tissue boundaries and are caused by static magnetic field inhomogeneities. Correction of such artifacts can considerably improve clinical value. We combine a previously presented segmented accelerated multi-shot diffusion imaging method with reverse polarity gradient (RPG) for markedly improved reduction of geometric distortions.

1628
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Multishot EPI and a Deep Learning-Based Noise Reduction Strategy for High Resolution Pancreatic DWI
Matthew J. Middione1, Alimohammad S. Moalem1, Cheng William Hong1, Arnaud Guidon2, Daniel B. Ennis1, and Ryan L. Brunsing1

1Department of Radiology, Stanford University, Stanford, CA, United States, 2GE Healthcare, Boston, MA, United States

DWI of the pancreas is challenging due to artifacts from physiologic motion, image distortion, and blurring, but has promising applications in pancreatic cancer detection. We conducted a pilot study of pancreatic DWI comparing single-shot and multi-shot EPI protocols as well as multi-shot EPI protocols with and without a new commercially available deep learning (DL) based denoising reconstruction method. Image quality was subjectively scored with key metrics. Multi-shot EPI reduced perceived distortion within the pancreatic bed, while the combination of multi-shot EPI and DL reconstruction subjectively reduced noise.


1629
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Deployment of prospective ADC correction of gradient nonlinearity bias in myelofibrosis clinical trial
Dariya Malyarenko1, Yuxi Pang1, Ajit Devaraj2, Johannes Peeters3, Harry Friel2, Kristen M Pettit4, Moshe Talpaz4, Brian D Ross1, Gary D Luker1, and Thomas L Chenevert1

1Radiology, University of Michigan, Ann Arbor, MI, United States, 2Philips Healthcare, Highland Heights, OH, United States, 3Philips MR Sclinical Science, Best, Netherlands, 4Internal Medicine, University of Michigan, Ann Arbor, MI, United States

Apparent diffusion coefficient (ADC) metric is evaluated as a potential alternative to biopsy for disease grading and therapy response assessment in bone marrow of myelofibrosis (MF) patients.  Spatially dependent bias in diffusion weighting due to systematic gradient nonlinearity (GNL) results in false heterogeneity of ADC maps over the imaged bone space. Here we illustrate deployment of prospective GNL bias correction based on technology developed in an academic industrial partnership to reduce technical variability of ADC in a MF clinical imaging trial.

1630
Computer 85
MR determination of the diffusion propagator: measurements on mouse spinal cord using a benchtop scanner
Alfredo Ordinola1, Walker Jackson2, and Evren Özarslan1

1Department of Biomedical Engineering, Linköping University, Linköping, Sweden, 2Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden

We demonstrate the experimental determination of the diffusion propagator, indicating a conditional probability density function with two spatial arguments. To this end, a recently introduced method was implemented on a benchtop MR scanner and incorporated into imaging sequences. The data involving two independent wavenumbers were transformed from the measurement domain to the spatial domain, yielding an apparent diffusion propagator. Experiments on freely diffusing water provides accurate determination of the diffusion propagator while apparent propagators measured in mouse spinal cord reveal significant differences between white and gray matter regions.

1631
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Filter-exchange spectroscopy and imaging sensitively detect necrotic cell death in vitro and in vivo
Athanasia Kaika1, Geoffrey J. Topping1, Simone Ballke2, Thomas Theodor Metzler2, Irina Heid3, Mathias Schillmaier1, Rickmer Braren3, and Franz Schilling1

1Department of Nuclear Medicine, TUM School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany, 2Institute of Pathology, TUM School of Medicine, Technical University of Munich, Munich, Germany, 3Institute of Radiology, TUM School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany

Filter-exchange spectroscopy (FEXSY) and imaging (FEXI) are sensitive to transmembrane water exchange, which is commonly altered during cell death1. Yeast cells in different permeabilization stages were studied with FEXI, DWI and CFDA-AM/ propidium iodide (PI) staining using flow cytometry. Cell populations with 3.8% PI positive staining had 44% increased AXR, but unchanged ADC. At 33% nonvital cells, detection of AXR became unreliable and ADC increased. In vivo FEXI and DWI in EL4 lymphoma, with H&E-confirmed necrotic tumor cells and edema, showed AXR and ADC variations across the tumor, possibly due to differing vitality cell stages.



Diffusion Artifacts, Acquisition & Applications II

Exhibition Hall:S8 & S9
Tuesday 15:30 - 16:30
Contrast Mechanisms
Module : Module 16: Diffusion

1717
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Evaluation of breast cancer using IVIM-Kurtosis and compartmental tracer kinetic models through semi-automated segmentation
Natalia Noemí Massaccesi Bove1,2, Trinidad González Padin1,2, Daniel Fino1,2,3, Nicolás Moyano Brandi1,2, Clara Lisazo1,2, Leandro Enrique Salcedo1,2,4, Federico Julián González Nicolini2,3,5, Pedro Pablo Ariza1,2, Roberto Andres Isoardi2,3,5, María Cecilia Lorca1,2, Cristian Allard6, and Verónica R. Saucedo1,2

1MRI Department, Fundación Argentina para el Desarrollo en Salud, Mendoza, Argentina, 2MRI Department, Fundación Escuela de Medicina Nuclear, Mendoza, Argentina, 3Instituto Balseiro, Universidad Nacional de Cuyo, San Carlos de Bariloche, Argentina, 4Universidad de Mendoza, Mendoza, Argentina, 5GQNYCS, Comisión Nacional de Energía Atómica, CABA, Argentina, 6GE Healthcare, Santiago de Chile, Chile

This study aims to evaluate the correlation between the IVIM-DKI models (which describe pure and pseudo diffusion) and the quantitative and semiquantitative parameters from dynamic contrast-enhanced (DCE) MRI (that analyze vascular permeability and pharmacokinetics). A Python algorithm was implemented to adjust the intensities of 12 b-values DWI to a biexponential function modeling the IVIM and DKI. Then, the statistical association between these parameters and the DCE MRI was evaluated with a Pearson’s correlation coefficient. The f and D* factors are both good biomarkers for the evaluation of perfusion properties, according to the examined correlation between all the parameters.

1718
Computer 87
2D (b-M1) Data Sampling and Blood Velocity Standard Deviation Distribution Fitting for Repeatable Tri-exponential IVIM Quantification
Gregory Simchick1,2, Ruiqi Geng1,2, and Diego Hernando1,2

1Radiology, University of Wisconsin-Madison, Madison, WI, United States, 2Medical Physics, University of Wisconsin-Madison, Madison, WI, United States

There is growing evidence of tri-exponential IVIM-DWI signal behavior in the liver. However, tri-exponential estimates often suffer from the instability associated with separating three decaying signal components sampled along a single dimension (i.e., b-value). In this work, standard monopolar and noise-optimized 2D (b-M1) data sampling schemes were acquired. From each acquisition, tri-exponential ROI-based fitting and a blood velocity standard deviation distribution (BVD) fitting method were performed. The estimated tri-exponential parameters were compared across acquisitions and fitting methods. Repeatable tri-exponential IVIM estimates were obtained using the 2D data sampling combined with BVD fitting. A new, physical tri-exponential model is also proposed.

1719
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Comparison between IVIM-DKI, MRE and DCE-Tofts quantitative techniques at 3.0 T multiparametric prostate protocol
Trinidad González Padin1,2, Nicolas Moyano Brandi1,2, María Paula Del Pópolo1,2, Natalia Noemi Massaccesi Bove1,2, Clara Chacon1,2, Federico Julian Gonzalez1,3,4, Roberto Andrés Isoardi1,3,4,5, Pedro Pablo Ariza1,2, Andrés Dominguez1, Eduardo H,M.S.G de Figuereido6, and Daniel Fino Villamil1,2,4,5

1MRI department, Fundación Escuela de Medicina Nuclear, Mendoza, Argentina, 2MRI department, Fundación Argentina para el Desarrollo en Salud, Mendoza, Argentina, 3GQNYCS, Comisión Nacional de Energía Atómica, Buenos Aires, Argentina, 4Instituto Balseiro, Universidad Nacional de Cuyo, San Carlos de Bariloche, Argentina, 5FCEN, Universidad Nacional De Cuyo, Mendoza, Argentina, 6General Electric- Healthcare, Sao Paulo-SP, Brazil, Brazil

Since there is no clear relationship between the coefficients of the DWI biexponential model and permeability and pharmacokinetics, we aim to correlate the coefficients associated to the IVIM-DKI model, MRE, and quantitative and semiquantitative maps of the multiparametric prostate protocol. Through a Python algorithm, the DWI data acquisition was fitted to an IVIM-DKI function after a semi-automatic segmentation. Then, PR, PCa and healthy tissue were evaluated, and the IVIM-DKI parametric maps were contrasted with the DCE and MRE through a Pearson’s correlation test. Empirical relationships were established between the pseudo-perfusion models, semiquantitative maps and the variables of the compartmental models.

1720
Computer 89
Multi-parameter Magnetic Resonance Quantitative Evaluation of Pancreatic Cancer with Vascular Invasion
Mi Zhou1, Long-Lin Yin1, and Yunzhu Wu2

1Department of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China, 2MR Scientific Marketing, SIEMENS Healthineers, Shanghai, China

In this study, the sensitivity, specificity and accuracy of quantitative parameters derived from T2WI+DKI+DCE combined model for pancreatic cancer vascular invasion were evaluated based on the pathological results as the gold standard. Combined T2WI+DKI+DCE quantitative analysis can improve the specificity and accuracy of diagnostic efficiency of pancreatic cancer vascular invasion. There were significant differences in MD, MK, Ktrans, Kep and Ve between vascular invasion group and non-vascular invasion group. The diffusion parameters and perfusion information are highly consistent, which can provide reliable evidence for preoperative non-invasive diagnosis and treatment of pancreatic cancer.

1721
Computer 90
Value of integrated 18F-FDG PET with fractional order calculus model-based MRI and DKI to evaluate the proliferation of lung squamous cell carcinoma
Zhun Huang1, Nan Meng2, Fangfang Fu3, Yan Bai3, Wei Wei3, Ting Fang4, Pengyang Feng5, Ziqiang Li6, Yu Luo2, Jianmin Yuan7, Yang Yang8, Zhe Wang7, and Meiyun Wang*9

1Department of Radiology, Henan University People’s Hospital & Henan Provincial People’s Hospital, School of Basic Medicine, Zhengzhou, China, 2Department of Radiology, Zhengzhou University People’s Hospital & Henan Provincial People’s Hospital, Academy of Medical Sciences, Zhengzhou, China, 3Henan Provincial People’s Hospital, Zhengzhou, China, 4Department of Radiology, Zhengzhou University People’s Hospital & Henan Provincial People’s Hospital, Zhengzhou, China, 5Department of Radiology, Henan University People’s Hospital & Henan Provincial People’s Hospital, Zhengzhou, China, 6XinxiangMedical University & Henan Provincial People’s Hospital, Xinxiang&Zhengzhou, Zhengzhou, China, 7Central Research Institute, UIH Group, Shanghai, China., Shang Hai, China, 8Beijing United Imaging Research Institute of Intelligent Imaging, Bei Jing, China, 9Henan Provincial People's Hospital, Zhengzhou, China

18F-FDG-PET/MRI combines the functional and metabolic characteristics of PET with the good soft-tissue contrast of MRI. The results showed that high Ki-67-expressing tumors showed lower D and μ values and higher MK and SUVmax values. In addition, the diagnostic efficacy of all parameters is similar.

1722
Computer 91
Inter-scanner reproducibility and variability assessment of advanced liver diffusion MRI metrics
Francesco Grussu1, Kinga Bernatowicz1, Ignasi Barba2, Marco Palombo3, Juan Francisco Corral4,5, Marta Vidorreta6, Xavier Merino4,5, Richard Mast4,5, Núria Roson4,5, Nahúm Calvo‐Malvar4,7, Manuel Escobar Amores4,5, Josep R. Garcia-Bennett7, and Raquel Perez-Lopez1,5

1Radiomics Group, Vall d'Hebron Institute of Oncology, Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain, 2NMR Lab, Vall d'Hebron Institute of Oncology, Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain, 3Cardiff University Brain Research Imaging Centre, Cardiff University, Cardiff, United Kingdom, 4Institut de Diagnòstic per la Imatge (IDI), Catalonia, Spain, 5Department of Radiology, Hospital Universitari Vall d'Hebron, Barcelona, Spain, 6Siemens Healthineers, Madrid, Spain, 7Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain

Innovative liver Diffusion-Weighted (DW) MRI aims to increase sensitivity and biological specificity of routine DW imaging, but may feature lower reproducibility due to longer scan times and acquisition of highly DW images. We assess inter-scanner reproducibility and variability of metrics from two novel approaches, T2-Intra-Voxel Incoherent Motion-Kurtosis (T2-IVIM-Kurtosis) and Diffusion-Relaxation Hepatic Imaging via Generalised Assessment of DiffusiOn Simulations (DR-HIGADOS), in two 1.5T scanners (Siemens Avanto; Philips Ingenia). Both methods are reproducible across scanners. Cellularity, intra-cellular diffusivity and vascular fraction show the highest measurement variability, implying that larger cohorts may be required in studies that focus on these indices.

1723
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Repeatability of Diffusion Kurtosis Tensor Parameters in Muscles of the Lower Legs
Ethan Mathew1,2, Chad Quarles1, Sudarshan Ragunathan1, and Richard Dortch1

1Barrow Neurological Institute, Tempe, AZ, United States, 2Arizona State University, Tempe, AZ, United States

This study examines the repeatability of quantitative measures obtained from the lower legs using a diffusion kurtosis tensor imaging sequence with a scan time of just 13 minutes. Test-retest data was acquired, and kurtosis parameters were calculated for both sets of data. Muscle groups were segmented, and repeatability was assessed by muscle group. In both the medial gastrocnemius and tibialis anterior, kurtosis fractional anisotropy and fractional anisotropy showed highest repeatability, as well as mean diffusivity in the medial gastrocnemius.

1724
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Sensitivity comparison of probabilistic and deterministic DTI tractography for robust characterization of arm skeletal muscle geometry
Divya Joshi1,2, Julius PA Dewald1,2,3, and Carson Ingo2,4

1Department of Biomedical Engineering, Northwestern University, Chicago, IL, United States, 2Department of Physical Therapy and Human Movement Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, United States, 3Department of Physical Medicine and Rehabilitation, Northwestern University Feinberg School of Medicine, Chicago, IL, United States, 4Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, United States

The robustness of probabilistic versus deterministic DTI tractography in characterization of skeletal muscle structure is not yet established. We investigated the sensitivity to turning angle when probabilistic and deterministic methods were used to estimate fascicle lengths and fractional anisotropy in the arm’s biceps muscle (n=8). Results produced with deterministic methods were highly sensitive to the turning angle, but those produced with probabilistic methods were not. Furthermore, the recommended angle in probabilistic methods yielded findings consistent with ground truth measurements, while the turning angle in deterministic methods needed to be altered from the recommended value to achieve similar results.

1725
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Model-based reconstruction of IVIM-DTI in skeletal muscle: Improving IVIM-DTI parameter map quality in low-perfused tissues
Susanne Rauh1, Oliver Maier2, Oliver Gurney-Champion3, Melissa Hooijmans3, Rudolf Stollberger2, Aart Nederveen3, and Gustav Strijkers1

1Department of Biomedical Engineering and Physics, Amsterdam UMC, Amsterdam, Netherlands, 2Institute of Medical Engineering, Graz University of Technology, Graz, Austria, 3Department of Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam, Netherlands

IVIM and DTI techniques are both sensitive to a variety of muscle disorders. Their combination can give a more complete description of ordered diffusion processes and perfusion. Model-based reconstruction can overcome many short-comings of image-based fitting such as Rician noise bias or low SNR. In this study we investigate the feasibility of model-based IVIM-DTI reconstruction in skeletal muscle, a low-perfused tissue. Results were compared to image-based least-square fitting. The parameter maps show more anatomical detail with model-based reconstruction. The mean parameter values are comparable to image-based fitting. Model-based reconstruction is sensitive to subtle changes after exercise in the underlying parameters.


1726
Computer 95
Three-component IVIM fitting in cerebrovascular disease using physics-informed neural networks: repeatability and accuracy
Paulien H.M. Voorter1,2, Walter H. Backes1,2,3, Oliver J. Gurney-Champion4, Sau-May Wong1, Julie Staals3,5, Robert-Jan van Oostenbrugge2,3,5, Merel M. van der Thiel1,2, Jacobus F.A. Jansen1,2,6, and Gerhard S. Drenthen1,2

1Department of Radiology & Nuclear Medicine, Maastricht University Medical Center, Maastricht, Netherlands, 2School for Mental Health & Neuroscience, Maastricht University, Maastricht, Netherlands, 3School for Cardiovascular Disease, Maastricht University, Maastricht, Netherlands, 4Department of Radiology and Nuclear medicine, Amsterdam University Medical Center, Cancer Center Amsterdam, University of Amsterdam, Amsterdam, Netherlands, 5Department of Neurology, Maastricht University Medical Center, Maastricht, Netherlands, 6Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands

Next to parenchymal diffusion and microvascular pseudo-diffusion, a third diffusion component is present in cerebral intravoxel incoherent motion (IVIM) imaging, representing interstitial fluid. Fitting the three-component IVIM model using conventional fitting methods strongly suffers from image noise. Therefore, we explored the applicability of a physics-informed neural network (PI-NN) fitting approach, previously shown to be more robust to noise. Using test-retest data from sixteen patients with cerebrovascular disease, we found higher repeatability of all IVIM parameters using PI-NN. Furthermore, simulations showed that PI-NN provided more accurate IVIM parameters. Hence, using PI-NN is promising to obtain tissue markers of cerebrovascular disease.

1727
Computer 96
A generalized deep learning network for fractional anisotropy reconstruction: application to epilepsy and multiple sclerosis
Marta Gaviraghi1, Antonio Ricciardi2, Fulvia Palesi3, Wallace Brownlee2, Paolo Vitali4, Ferran Prados2, Baris Kanber2, and Claudia AM Gandini Wheeler-Kingshott2,3,5

1Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy, 2NMR Research Unit, Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, UCL, London, United Kingdom, 3Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy, 4IRCCS Policlinico San Donato, Milano, Italy, 5Brain Connectivity Centre, IRCCS Mondino Foundation, Pavia, Italy

Quantitative maps obtained from Diffusion Tensor are very useful for investigating microstructural changes that occur in brain diseases. However, the long acquisition times required for a fully sampled diffusion-weighted space makes their clinical use unfeasible. Here we have adapted a U-net that obtains reliable Fractional Anisotropy (FA) maps from a reduced set of 10 Diffusion Weighted volumes (that can be acquired in less than 1 min). Our network was applied to two independent, clinical datasets, without retraining, and produced FA that retained clinical sensitivity and characteristic FA value distributions in the brain white matter.

1728
Computer 97
Brain Extracellular Free Water Correlates with MRSI Biomarkers of Neuro-inflammation in the Brain of HIV Clade-C Infected Individuals
Teddy Salan1, Sameer Vyas2, Deepika Aggarwal2, Paramjeet Singh2, and Varan Govind1

1Radiology, University of Miami, Miami, FL, United States, 2Post Graduate Institute of Medical Education & Research, Chandigarh, India

Free water (FW) imaging is a diffusion-weighted MRI technique that differentiates extracellular from intracellular water compartments. Increased FW fraction is generally associated with neuroinflammation. However, establishment of a direct link between FW and biomarkers of neuroinflammation in human studies is not feasible. In this work, we use MRSI to find correlations between FW and metabolic biomarkers of inflammation in HIV infected individuals. Our results show that FW had the most significant positive correlations with myo-inositol, a strong biomarker of gliosis and inflammation. This corroborates previous findings that elevated FW can be interpreted as a sign of inflammation in the brain.


1729
Computer 98
Developing a robust quantitative diffusion MRI protocol for longitudinal assessment of neurodegenerative disorders
Amritha Nayak1,2, Diana Bharucha-Goebel3,4, M.Okan Irfanoglu2, Gilberto Averion3, Dimah Saade3, Carsten Bönnemann3, and Carlo Pierpaoli2

1Henry Jackson Foundation for advancement in Military Medicine Inc, Rockville, MD, United States, 2QMI, NIBIB, National Institutes of Health, Bethesda, MD, United States, 3NNDCS, NINDS, National Institutes of Health, Bethesda, MD, United States, 4Children's National Hospital, Division of Neurology, Washington DC, DC, United States

In this work, we have developed a quantitative diffusion MRI (dMRI) pipeline, to include acquisition, processing, and analysis, robust enough to evaluate the evolution of a neurodegenerative disease in each individual patient. 

1730
Computer 99
A diffusion MRI tractometry approach in cerebral small vessel disease
Maxime Chamberland1, Anil M Tuladhar2, Anna Dewenter3, Mengfei Cai2, Mina A Jacob2, Annemieke ter Telgte2,4, Kim Wiegertjes2, Marcel Zwiers1, José P. Marques1, Chantal M.W. Tax5,6, Marco Duering3,7, Frank-Erik de Leeuw2, and David G. Norris1

1Radboud University, Donders Institute for Brain, Cognition, and Behavior, Nijmegen, Netherlands, 2Department of Neurology, Radboud University, Donders Institute for Brain, Cognition, and Behavior, Nijmegen, Netherlands, 3University Hospital, LMU Munich, Institute for Stroke and Dementia Research (ISD), Munich, Germany, 4VASCage, Research Centre on Vascular Ageing and Stroke, Innsbruck, Austria, 5University Medical Center Utrecht, Image Science Institute, Utrecht, Netherlands, 6School of Physics, Cardiff University Brain Research Imaging Centre, Cardiff, United Kingdom, 7Department of Biomedical Engineering, University of Basel, Medical Image Analysis Center (MIAC) and qbig, Basel, Switzerland

In a cohort of 54 patients with sporadic cerebral small vessel disease, associations between diffusion MRI measures and processing speed were investigated both at low and high b-values, revealing complementary microstructural information. Associations with processing speed found by skeletonization were confirmed with an independent tractometry approach, which was further utilized to identify a set of association tracts associated with cognition.


MRS & Hyperpolarization I

Exhibition Hall:S8 & S9
Tuesday 16:45 - 17:45
Contrast Mechanisms
Module : Module 7: Spectroscopy & Hyperpolarization

1797
Computer 67
Multi-voxel PRESS for fast and sensitive static MRS of hyperpolarized nuclei
Wolfgang Gottwald1, Luca Nagel1, Geoffrey J. Topping1, and Franz Schilling1

1Department of Nuclear Medicine, TUM School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany

A multi-voxel point resolved spectroscopy (MV-PRESS) sequence was developed for measuring hyperpolarized 13C-labelled compounds, on a 7T preclinical small animal scanner. MV-PRESS allows to excite selected imaging voxels within a 3D volume with high sensitivity (i.e. 90° excitation angle). This method was compared to both single-voxel PRESS of a thermal 1H phantom and CSI with a hyperpolarized [1-13C]pyruvate phantom. MV-PRESS was then used to detect both pyruvate and lactate in healthy mouse kidneys after hyperpolarized [1-13C]pyruvate injection, using 2x2x2 mm3 voxels for a total of 4 voxels.

1798
Computer 68
Dissolved-phase 129Xe longitudinal relaxation times at low and high magnetic field strengths
Nicholas Bryden1, Michele Kelley1, Christian T McHugh1, and Rosa T Branca1

1University of North Carolina Chapel Hill, Chapel Hill, NC, United States

We provide longitudinal relaxation measurements of hyperpolarized (HP) 129Xe gas dissolved in a variety of solvents at both low and high magnetic field strengths. The method of measuring T1 presented here is less sensitive than more commonly used methods to RF flip angle miscalibration, which has caused the significant variation in dissolved-phase 129Xe T1 values reported in the past. A field dependent study of gas depolarization by hollow membrane fibers commonly used to dissolve xenon in blood or other solvents is also included, which provides insight to experimental limitations on their use in both field regimes.


1799
Computer 69
Multi-band echo-planar spectroscopic imaging of hyperpolarized 13C probes in a compact preclinical PET/MR scanner
Cornelius von Morze1, Tyler Blazey1, Richard Baeza2, Ruslan Garipov2, Timothy Whitehead1, Galen D Reed3, Joel R Garbow1, and Kooresh I Shoghi1

1Washington University, St Louis, MO, United States, 2MR Solutions, Guildford, United Kingdom, 3GE Healthcare, Dallas, TX, United States

Hyperpolarized (HP) 13C MRI requires advanced pulse sequences to capture the dynamic, localized metabolic information. We developed an echo planar spectroscopic imaging (EPSI) pulse sequence incorporating multi-band spectral-spatial radiofrequency (SSRF) pulses for rapid and efficient HP 13C MRI on a new cryogen-free simultaneous PET/MR molecular imaging platform with compact footprint. Excitation profiles were measured in phantoms, and the SSRF-EPSI sequence was tested in rats using two HP 13C probes. We also obtained simultaneous 18F-FDG-PET data for comparison. In conclusion, advanced 13C SSRF imaging approaches are feasible on the new PET/MR platform, facilitating direct comparison with PET.


1800
Computer 70
Improving the biocompatibility of parahydrogen hyperpolarized [1-13C]pyruvate
Francesca Reineri1, Oksana Bondar1, Carla Carrera2, Eleonora Cavallari1, Erika Cerutti1, Ginevra Di Matteo1, and Silvio Aime1

1Molecular Biotechnology, University of Torino, Torino, Italy, 2Institute of Biostructure and Bioimaging, Nation Research Council, Torino, Italy

ParaHydrogen Induced Polarization is a hyperpolarization method much less technically demanding and affordable than d-DNP. The Side Arm Hydrogenation method allowed to obtain hyperpolarized [1-13C]pyruvate that can be used for metabolic studies, but concerns about the safety and bio-compatibility of the final aqueous solution of the HP products may be present, due to organic solvents and metal complex. In this work, a method to remove all the traces of toxic solvents and metal complex from the final product will be presented, together with the 13C-MR images obtained using the metabolite thus hyperpolarized.

1801
Computer 71
Sensitivity analysis of the MOXE model of gas exchange for lung hyperpolarised 129Xe MRS and MRI
Yohn C.G. Taylor1, Frederick J. Wilson2, and Geoff J.M. Parker1,3

1Centre for Medical Image Computing, Quantitative Imaging Group, Department of Medical Physics & Biomedical Engineering, University College London, London, United Kingdom, 2GlaxoSmithKline R&D, Stevenage, United Kingdom, 3Bioxydyn Limited, Manchester, United Kingdom

Univariate sensitivity analysis was used to determine parameter importance within the model of gas exchange (MOXE) for lung hyperpolarised 129Xe MRS/MRI. Sensitivity of the model to parameter variation across a range of saturation recovery delay times within the chemical shift saturation recovery (CSSR) technique was assessed. Simulated parameter values spanned those in healthy and patient groups. MOXE is found to be most sensitive to changes in surface-area-to-volume ratio and in septal wall thickness. MOXE is negligibly sensitive to alveoli-capillary barrier thickness. CSSR measurements taken within delay periods between 0 - 200 ms provide optimum parameter sensitivity.

1802
Computer 72
In situ evidence of radiation trapping limiting Rb polarization in common SEOP setups
Michele Kelley1 and Rosa Tamara Branca1

1Department of Physics and Astronomy, University of North Carolina - Chapel Hill, Chapel Hill, NC, United States

To increase the 129Xe polarization for emerging biomedical applications, the Rb polarization on which the 129Xe directly depends must be first optimized. Radiation trapping is a form of Rb depolarization thought to be quenched by the N2 added to SEOP gas mixtures. Here we use absorption spectroscopy to measure the Rb density, optical spectroscopy to monitor the fraction of Rb atoms involved in radiation trapping, and field cycling to measure the Rb polarization. We find that radiation trapping is still present during spin-exchange optical pumping and appears to limit the achievable Rb polarization.

1803
Computer 73
Assessment of treatment efficacy in T-cell acute lymphoblastic leukemia models with Hyperpolarized MR and NMR metabolomics
Jose Santiago Enriquez1,2, Natalia Baran3, Shivanand Pudakalakatti1, Marina Konopleva2,3, and Pratip Bhattacharya1,2

1Cancer Systems Imaging, MD Anderson Cancer Center, Houston, TX, United States, 2UT MD Anderson Cancer Center UT Health Science Center Houston Graduate School of Biomedical Sciences, Houston, TX, United States, 3Leukemia, MD Anderson Cancer Center, Houston, TX, United States

Metabolic reprogramming is one of the key hallmarks in acquiring aggressive phenotype and chemoresistance in many cancers including T-cell acute lymphoblastic leukemia (T-ALL). To combat chemoresistance, we treated patient-derived xenografts with two metabolic drugs that target two different pathways for T-ALL: IACS-010759, a Complex I inhibitor for OXPHOS pathway and AZD3965, a monocarboxylate transporter-1 (MCT1) inhibitor. Hyperpolarized metabolic imaging in vivo and NMR metabolomics ex vivo was utilized to observe the difference in metabolism with single treatment and in combination. Our results demonstrate that metabolic intervention utilizing OXPHOS blockade can be potentiated by targeting the MCT1 transporter.

1804
Computer 74
Evaluating physiological gradients after bias field correction of Hyperpolarized 129Xe Gas Ventilation MRI
Junlan Lu1, Suphachart Leewiwatwong2, David Mummy3, and Bastiaan Driehuys2

1Medical Physics, Duke University, Durham, NC, United States, 2Biomedical Engineering, Duke University, Durham, NC, United States, 3Radiology, Duke University, Durham, NC, United States

Quantitative analysis of hyperpolarized 129Xe ventilation imaging requires overcoming the ill-posed problem of accurately correcting for bias field. The standard solution of N4ITK bias field correction removes not only bias field, but also physiologic gradients of interest. An alternative approach is applying RF depolarization mapping in a cohort of subjects to construct a bias field template. Here, we compare the effect that these different bias field correction techniques have on the 129Xe MRI ventilation gradients in a cohort of healthy patients (n=18).

1805
Computer 75
Refining selectivity of XTC saturation pulse parameters through spectroscopic analysis
Tahmina Achekzai1, Luis Loza1, Stephen Kadlecek1, Kai Ruppert1, Faraz Amzajerdian1, and Rahim Rizi1

1University of Pennsylvania, Philadelphia, PA, United States

In Xenon Polarization Transfer Constant (XTC) imaging, saturation pulses are applied at DP Xe frequencies for red blood cell (RBC) and tissue plasma (TP), but, due to their high power, are not perfectly selective, often depolarizing both DP frequencies instead of only the one intended. We used XTC spectroscopy to explore how various saturation pulse parameters, primarily pulse power, affects saturation selectivity. The generated graphs plot depolarization as a function of saturation frequency. They demonstrate that as pulse power increases, the contribution of gas-phase depolarization due to off-resonance saturation increases, compromising selectivity. 

 



MRS & Hyperpolarization II

Exhibition Hall:S8 & S9
Tuesday 17:45 - 18:45
Contrast Mechanisms
Module : Module 7: Spectroscopy & Hyperpolarization

1883
Computer 63
Hyperpolarized multiple quantum coherences at ultra-low magnetic fields increase 15N parahydrogen-induced polarization
Andrey N. Pravdivtsev1, Nicolas Kempf2, Markus Plaumann3, Johannes Bernarding3, Klaus Scheffler2, Jan-Bernd Hövener1, and Kai Buckenmaier2

1SBMI, MOIN CC, UKSH, Kiel University, Kiel, Germany, 2High-Field Magnetic Resonance Center, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, 3Institute for Biometrics and Medical Informatics, Otto-von-Guericke University, Magdeburg, Germany

We used signal amplification by reversible exchange of parahydrogen (SABRE)  at low (~1 mT) and ultra-low (~1 μT, ULF) magnetic fields. We proposed and used ULF correlation spectroscopy (COSY) method to analyze PHIP spin order in real-time. Coherences up to the third-order were observed experimentally. Furthermore, we analyzed SABRE in alternating magnetic fields (alt-SABRE). We measured the evolution of 1H-15N zero-quantum coherences and have shown that they persist during field alternation and depend on the magnetic field strength. The resulting 15N-polarization in the alt-SABRE experiment was with magnetic was appoximately 30% higher. 

1884
Computer 64
Flow Effects on Spatial Spectral Excitation of Hyperpolarized Agents
Christopher Michael Walker1, Keith Michel1, Collin J Harlan1, Zhan Xu1, Gary Martinez1, Dawid Schellingerhout2, Stephen Y. Lai3, and James A. Bankson1

1Imaging Physics, MD Anderson Cancer Center, Houston, TX, United States, 2Neuroradiology Department, MD Anderson Cancer Center, Houston, TX, United States, 3Head & Neck Surgery, MD Anderson Cancer Center, Houston, TX, United States

Simulations were used to evaluate the effect of rapid vascular flow on spatial spectral pulses used for hyperpolarized MRI. Simulation results show that flow effects reduced the on-resonance excitation angle while increasing the off-resonance excitation in a velocity dependent manner. These excitation impacts will be particularly important when trying to estimate an arterial input function. Flow may also produce measurable lactate signal in flowing pyruvate, an effect that was observed in a hyperpolarized study of the thyroid.

1885
Computer 65
Preliminary Assessment of Gas Exchange Efficiency in Lung Transplant Patients with Multi-breath Xenon Polarization Transfer Contrast Imaging
Faraz Amzajerdian1, Hooman Hamedani1, Ryan Baron1, Yi Xin1, Tahmina Achekzai1, Luis Loza1, Mostafa Ismail1, Ian Duncan1, Stephen Kadlecek1, Kai Ruppert1, and Rahim Rizi1

1University of Pennsylvania, Philadelphia, PA, United States

Quantifying the exchange of hyperpolarized xenon gas between the airways, lung parenchyma, and red blood cells may provide valuable insights into the progression of lung graft failure, enabling earlier diagnosis of chronic lung allograft dysfunction (CLAD). By combining Xenon polarization Transfer Contrast (XTC) imaging with a multi-breath model of fractional ventilation, gas exchange efficiency was assessed in four lung transplant recipients 3-12 months post-surgery in order to identify baseline metrics and trends.

1886
Computer 66
Advancing SABRE Toward In Vivo Imaging: Phantom Chemical Conversion of Hyperpolarized [1-13C]-Pyruvate
Patrick Michael TomHon1, Keilian MacCulloch1, David Orestes Guarin2, Erin Hardy2, Austin Browning1, Carlos Dedesma3, Matthew S Rosen2, Yi-Fen Yen2, and Thomas Theis4

1Chemistry, North Carolina State University, Raleigh, NC, United States, 2Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 3Vizma Life Sciences, Chapel Hill, NC, United States, 4Chemistry, Physics, Biomedical Engineering, North Carolina State University, Raleigh, NC, United States

This work illustrates current advancements in SABRE hyperpolarized pyruvate toward in vivo imaging, demonstrating that significant levels of polarization achieved on pyruvate enable dynamic spectroscopy and imaging of downstream chemical products. Specifically in this study we show the monitoring of chemical conversion of pyruvate to pyruvate hydrate using a pH change and pyruvate to CO2 by reaction with H2O2. While the current work only focuses on the study of the chemical conversion of hyperpolarized substrate in a phantom, these studies lay the groundwork for future in vivo injections that mirror these chemical conversion processes.

1887
Computer 67
Dynamic 1H MR spectroscopy of yeast metabolism during gamma irradiation using a 1.5T MR-Linac
Liam S. P. Lawrence1,2, Viktor Iakovenko3, Wendy Oakden1, Rachel W. Chan1, Greg J. Stanisz1,2,4, and Angus Z. Lau1,2

1Physical Sciences Platform, Sunnybrook Research Institute, Toronto, ON, Canada, 2Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada, 3Department of Medical Physics, Sunnybrook Health Sciences Centre, Toronto, ON, Canada, 4Department of Neurosurgery and Paediatric Neurosurgery, Medical University, Lublin, Poland

1H MR spectroscopy (MRS) can detect metabolic changes in treated tumours that could indicate therapeutic response. MR response assessment might inform radiation dose plan adaptation on MRI linear accelerators (MR-Linacs). We report the first MRS experiments on a 1.5T MR-Linac. Dynamic spectra of yeast during fermentation were acquired with and without irradiation, to measure real-time changes in metabolism. Ethanol production was detectable. The Larmor frequency drifted by 33 Hz over 11 minutes during irradiation, degrading spectral quality. While no differences in ethanol production were detected between irradiation/control experiments, the phantom setup could be optimized to increase dose and improve repeatability.

1888
Computer 68
Investigating the feasibility to assess the alveolar-volume-to-blood membrane thickness with hyperpolarized xenon-129 MRI using simulations
Kai Ruppert1, Tahmina S. Achekzai1, Luis Loza1, Faraz Amzajerdian1, Yi Xin1, Hooman Hamedani1, Ryan J. Baron1, Mostafa Ismail1, Ian F. Duncan1, Stephen Kadlecek1, and Rahim R. Rizi1

1University of Pennsylvania, Philadelphia, PA, United States

The thickness of the membrane separating the alveolar volume from the capillary blood is difficult measure with the chemical shift saturation recovery (CSSR) hyperpolarized xenon-129 MRI technique. In this work, we used a 1D gas exchange simulation to investigate the concept of measuring the gas-phase depolarization induced by the application of long RF pulses of variable power to extract information about the thickness of this membrane. Our simulations predict that measuring the red blood cell-induced gas-phase depolarization enables an estimation of membrane thickness even when the temporal lag between the rise in dissolved-phase signals cannot be accurately determined.

1889
Computer 69
The Effect of Differences in MRS Parameters on Data Harmonization of Normative Data
Marcia Sahaya Louis1,2, Huijun Vicky Liao2, Ajay Joshi1, and Alexander Lin2

1ECE, Boston University, Boston, MA, United States, 2Radiology, Brigham and Women's Hospital, Boston, MA, United States

Building normative databases for MR spectroscopy studies is much needed to further the use of MRS in large clinical studies.  The effect of differences in MRS parameters is not well documented and there are no established data harmonization methods for MRS data. Therefore, the goal of this study is to identify the effects of variations such as dwell time, coil type, and software version and describe a method for harmonizing data in healthy controls that will ameliorate those effects.

1890
Computer 70
Integrating hybrid CSI/EPSI acquisitions with L2 regularization for lipid removal of MRSI
Yiling Liu1, Jianfeng Bao2, Hao Chen1, Guiqin Liu3, Jingliang Chen2, and Zhiyong Zhang1

1School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 2The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, China, 3Renji Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai Jiao Tong University, Shanghai, China

Placements of lipid saturation bands not only demand a skillful MRSI scanning operation but also restrict the full brain MRSI coverage. Therefore, MRSI acquisition without lipid suppression while doing post-removal of lipid becomes clinically attractive and valuable. In this work, we propose to integrate hybrid CSI/EPSI acquisitions with L2 regularization for fast lipid removal of MRSI. The hybrid CSI/EPSI acquisitions rely on the same excitation and refocusing evolution with the modified CSI and EPSI sequences. Phantom and in-vivo brain studies demonstrate the effectiveness and low computational cost of the proposed method.

1891
Computer 71
semi-LASER MRS at 3T with TR=5s: All the Signal, Similar Scan Time, and Minimal T1 Weighting
Alex Ensworth1,2, Laura R. Barlow3,4, Piotr Kozlowski1,2,3,4, Erin L. MacMillan3,4,5, and Cornelia Laule1,2,3,6

1Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada, 2International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Vancouver, BC, Canada, 3Radiology, University of British Columbia, Vancouver, BC, Canada, 4UBC MRI Research Centre, University of British Columbia, Vancouver, BC, Canada, 5Philips Canada, Mississauga, ON, Canada, 6Pathology & Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada

The choice of repetition time (TR) in MR spectroscopy studies is widely debated. A shorter TR results in more clinically acceptable scan times, however due to T1 effects, the metabolite concentrations are reduced. We used semi-LASER MRS to compare the SNR and absolute metabolite concentrations for TR=2,5 and 8s. We demonstrate it is possible to achieve similar SNR and scan time using a TR of 5s with half the acquisitions compared to a TR of 2s, where the metabolite concentrations are 20% lower. Using a TR of 5s for any MRS study is feasible and recommended to minimize T1 effects.


1892
Computer 72
Investigating metabolite regional dependencies in the frontal lobe: overlapping small and large voxels
Marilena M DeMayo1,2,3,4,5, Alexander McGirr2,3,4, Ben Selby3,6, Frank MacMaster7, Chantel T Debert3,6, and Ashley D Harris1,3,5

1Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada, 2Department of Psychiatry, University of Calgary, Calgary, AB, Canada, 3Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada, 4Mathison Centre for Mental Health Research and Education, University of Calgary, Calgary, AB, Canada, 5Department of Radiology, University of Calgary, Calgary, AB, Canada, 6Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada, 7Provincial Addiction and Mental Health (PAMH) Portfolio, University of Calgary, Calgary, AB, Canada

Small anatomically specific voxels in cerebral cortex require a large number of averages to quantify metabolites by magnetic resonance spectroscopy. It is unclear whether cortical regional variability in metabolite concentration requires small voxels, or whether a larger voxel which incorporates the region of interest can provide adequately representative measures with fewer averages. Concentrations of glutamate, glx, creatine, choline, myo­-inositol and N-acetyl-aspartate (NAA) were correlated within subjects between an overlapping small (15x15x15mm) and large (30x30x30mm) voxel. There was a significant correlation between creatine measures, while choline showed a positive trend. There was no correlation between glutamate, glx, NAA, and myo-inositol.

1893
Computer 73
A comparison of human brain GABA levels measured at 3T and 7T
Tiffany Bell1,2,3, Dana Goerzen4, Masoumeh Dehghani4, Jamie Near4,5,6, and Ashley D Harris1,2,3

1Department of Radiology, University of Calgary, Calgary, AB, Canada, 2Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada, 3Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada, 4Centre d’Imagerie Cerebrale, Douglas Mental Health Institute, Montreal, QC, Canada, 5Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada, 6Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada

Measuring GABA in the human brain in vivo using magnetic resonance spectroscopy (MRS) is not trivial due to its low abundance in the brain and the overlap of signal from higher concentration metabolites. At 3T, an editing sequence is typically used to isolate the GABA signal. Data acquired at 7T has higher SNR and better spectral resolution, therefore editing is often not used to measure GABA at this field strength. Here we compare GABA levels acquired at 7T using STEAM to GABA levels acquired at 3T using GABA-edited MEGA-PRESS and find little agreement between the two measures.

1894
Computer 74
Parahydrogen-Based Hyperpolarization of a Pyruvate Ester to 25% Within an MRI System Using SAMBADENA
Henri de Maissin1,2, Vladislav Ivantaev1, Christoph A. Müller1,2, Obaid Mohiuddin1, Jürgen Hennig3, Dominik von Elverfeldt3, Jan-Bernd Hövener4, Strefan Glöggler5,6, and Andreas Benjamin Schmidt1,2

1Radiology - Medical Physics, University Medical Center Freiburg, Freiburg, Germany, 2German Cancer Consortium (DKTK) partner site Freiburg, German Cancer Center (DKFZ), Heidelberg, Germany, 3University Medical Center Freiburg, Freiburg, Germany, 43Section Biomedical Imaging, Molecular Imaging North Competence Center (MOINCC), Department of Radiology and Neuroradiology, University Medical Center Schleswig-Holstein and Kiel University, Kiel, Germany, 5Max Planck Institute for Biophysical Chemistry, Göttingen, Germany, 6Center for Biostructural Imaging of Neurodegeneration, University Medical Center Göttingen, Göttingen, Germany

Parahydrogen (pH2) and Synthesis Amid the Magnet Bore Allow Dramatically Enhanced Nuclear Alignment (SAMBADENA) and have recently enabled hyperpolarization (HP) of 13C and subsequent in vivo administration of the produced contrast agent inside an MRI system. pH2 Induced Polarization (PHIP) by Side-Arm Hydrogenation (PHIP-SAH) has extended the portfolio of PHIP agents to metabolically-active molecules such as acetate, lactate, and pyruvate, but typically requires hydrogenation in organic solvents like chloroform. Here we present our new, solvent-compatible SAMBADENA setup and preliminary results of the 13C HP in chloroform of the PHIP-SAH molecule cinnamyl-pyruvate – opening the pathway towards metabolic studies with SAMBADENA.


Molecular

Exhibition Hall:S8 & S9
Wednesday 9:15 - 10:15
Contrast Mechanisms
Module : Module 31: Molecular Imaging

1988
Computer 83
Biosynthesis of an Activatable Fluorescent MRI Contrast Agent
Harvey D. Lee1,2, Connor J. Grady1,2, Christiane L. Mallett1,3, Md Nafiujjaman1,2, Nathan M. Good4, N. Cecilia Martinez-Gomez4, Taeho Kim1,2, Erik M. Shapiro1,3, and Assaf A. Gilad1,2,3

1Department of Biomedical Engineering, Michigan State University, East Lansing, MI, United States, 2Division of Synthetic Biology, Institute for Quantitative Health Sciences and Engineering, Michigan State University, East Lansing, MI, United States, 3Department of Radiology, Michigan State University, East Lansing, MI, United States, 4Department of Plant and Microbial Biology, University of California, Berkeley, Berkeley, CA, United States

Sustainable products are becoming an integral part of our daily lives - in this study, we biosynthetically produced an MRI contrast agent from E.coli with an r1 of 6.0 (per-gadolinium, 7T field strength, room temperature) that provides the user with optical feedback through a jump in green fluorescence upon binding free gadolinium in solution. We anticipate this will reduce the amount of resources spent on quality control (in assessing the amount of unchelated gadolinium that could otherwise introduce toxicity), whereas its compatibility with lyophilization is expected to improve storage conditions in terms of longevity, stability, and transportation costs. 

1989
Computer 84
3D Bioprinted MRI-Trackable Regenerative Scaffold for Post-Implantation Monitoring
Sadi Loai1,2, Daniel A. Szulc1,2, and Hai-Ling Margaret Cheng1,2,3

1Institute of Biomedical Engineering, University of Toronto, Toronto, ON, Canada, 2Translational Biology & Engineering Program, Ted Rogers Centre for Heart Research, Toronto, ON, Canada, 3The Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada

3D bioprinted scaffolds are one of the most novel and promising tissue regenerative therapeutics currently in development (e.g. to repair damaged cardiac tissue). Validation of correct scaffold placement and retention post-implantation is essential, but it is challenging to visualize scaffolds in-vivo given their similar material properties to native tissue. In this study, a T1-reducing contrast agent, MnPNH2, was utilized to create an MR-trackable, bioprinted scaffold. In-vitro and in-vivo results confirmed the novel scaffold provided an environment conducive to cell growth and offered significant bright contrast for post-implantation scaffold monitoring in rats.        


1990
Computer 85
A Novel Manganese EOB-Pyclen Diacetate Chelate for Liver-Specific MRI
Ryan Hall1, Jing-Can Qin1, Victoria Laney1, and Nadia Ayat1

1Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States

MRI is increasingly utilized for the diagnosis of liver disease and focal liver lesions. While liver-targeted gadolinium-based contrast agents (GBCAs) have high efficacy, they are shadowed by safety concerns regarding tissue retention. We have developed a liver-targeted manganese alternative – Mn-EOB-PC2A – that uses a liver-targeted ethoxybenzyl modified macrocyclic pyclen diacetate platform. Relaxivity measurements for Mn-EOB-PC2A suggest comparable performance to the GBCA alternatives, and in vitro characterization suggests strong uptake in hepatocytes with minimal toxicity. MRI with Mn-EOB-PC2A demonstrated strong liver-specific enhancement at a clinically relevant dose, underscoring the potential for Mn-EOB-PC2A as an alternative to traditional liver-targeted Gd-based platforms.

1991
Computer 86
Pentafluorosulfanyl (SF5) is a Superior 19F Magnetic Resonance Reporter Group: Signal Detection of Teriflunomide Derivatives
Ashrith Jacob1, Ludger Starke1, Christian Prinz1, Jason M Millward1, Paula Ramos Delgado1, Ariane Fillmer2, Thoralf Niendorf1, and Sonia Waiczies1

1Berlin Ultrahigh Field Facility, MDC, Berlin, Germany, 2Physikalisch - Technische Bundesanstalt (PTB) Braunschweig and Berlin, Berlin, Germany

Modifications to the CF3 side-group of teriflunomide were made to improve its detection by 19F MRI. Pentafluorosulfanyl (SF5) was shown to be a superior alternative to CF3. The SNR efficiency of three 19F MRI methods showed that within a biological environment, SF5-substitutions gave the highest SNR efficiency in combination with an ultrashort echo-time (UTE) MRI method. Chemical modifications did not hamper biological activity but SF5-TF was more effective to inhibit T cell proliferation, indicating better anti-inflammatory activity. This study proposes SF5 as a novel superior 19F MR reporter group for the drug teriflunomide.


1992
Computer 87
Highly sensitive “off/on” EPR probes to monitor enzymatic activity by OMRI
Simonetta Geninatti Crich1, Sabrina Geninatti Elkhanoufi2, Diego Geninatti Alberti2, Eric Thiaudiere3, Rachele Stefania1, Elodie Parzy3, Philippe Mellet3, Philippe Massot3, and Silvio Aime1

1University of Torino, Torino, Italy, 2University of torino, Torino, Italy, 3University of Bordeaux-CNRS, Bordeaux, France

New stable organic radicals probes have been proposed in this study to perform Molecular Imaging by monitoring by Overhauser Magnetic Resonance Imaging (OMRI) the enzymatic activity. The  radicals used are Tempo-containing esters forming stable micelles that are practically EPR silent. The hydrolysis of the ester bond catalyzed by Carboxyl esterases generates a narrow and intense EPR signal as a consequence of the release of the nitroxide radical from the micelle. Thus we have prepared a off/on probe responsive to the carboxylesterase activity that can be detected quantitatively in the OMR image.

1993
Computer 88
Detection of the Multiple Sclerosis Drug Siponimod Using Fluorine-19 Magnetic Resonance Imaging
Ludger Starke1,2, Mariya Aravina1, Jason M. Millward1, Thoralf Niendorf1,3, and Sonia Waiczies1

1Berlin Ultrahigh Field Facility, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany, 2Digital Health Center, Hasso Plattner Institute, Potsdam, Germany, 3Experimental and Clinical Research Center (ECRC), A Joint Cooperation between the Charité Medical Faculty and the Max-Delbrück Center for Molecular Medicine, Berlin, Germany

Siponimod is a fluorinated drug approved for treatment of secondary progressive multiple sclerosis. We detect 19F-MR signal in the liver, brain, kidneys, and thymus, and achieve the first 19F-MR images of a disease modifying drug, both in the liver and brain ex vivo and in a proof-of-concept in vivo experiment. Clear concentration differences between lobes of the liver or regions of the CNS can be observed. We have demonstrated the feasibility of using 19F-MRI to study the distribution of disease modifying drugs and improve our understanding of pharmacokinetics or guide therapeutic decisions.

1994
Computer 89
HyperCEST Performance of Liposomal Nanocarriers using a CrA-Lipopeptide Building Block
Leif Schröder1 and Jan Oliver Jost1

1Translational Molecular Imaging, Deutsches Krebsforschungszentrum, Heidelberg, Germany

MRI reporters for hyperpolarized 129Xe CEST need further improvement in order to sufficiently outcompete the intrinsic loss of hyperpolarization appearing under in vivo conditions.  This study opens up a possibility by accelerating the CEST build-up for the well-known Xe host CrA-ma by two orders of magnitude.  We designed a liposome decorated with a CrA-lipopeptide. To avoid inefficiency from back exchange, the lipopeptide fraction should be kept relatively low (e.g., 2 mol%). Complete saturation transfer could be easily achieved for maximum possible image contrast in 129Xe MRI scans. This study pinpoints a large flexibility for designing  powerful HyperCEST agents.


1995
Computer 90
Detection of low-boiling point perfluorocarbon nanodroplets using hyperCEST: a path toward a dual-modality dual-phase contrast agent
Christian T McHugh1,2, Phillip G Durham3, Michele Kelley1,2, Nicholas J Bryden1,2, Paul A Dayton2,4, and Rosa T Branca1,2

1Physics & Astronomy, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States, 2Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States, 3Pharmacoengineering and Molecular Pharmaceutics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States, 4Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States

Recently, it was shown that hyperCEST enables detection of microbubbles at clinically relevant ultrasound doses. Nanodroplets filled with low-boiling point perfluorocarbons are precursors of microbubbles. Because the chemical shift of xenon in liquid-phase perfluorocarbon nanodroplets is different than that in gas-phase microbubbles, hyperCEST detection of these nanodroplets could enable MR detection of their phase-change upon ultrasound activation. To this end, here we investigate if perfluorocarbon nanodroplets can be used as hyperCEST agent, first in vitro and then in vivo.


1996
Computer 91
GlucoCEST under the influence of head motion at 3 T: A numerical head phantom
Patrick Michael Lehmann1, Mads Andersen2,3, Anina Seidemo1, Xiang Xu4,5, Xu Li5,6, Nirbhay Yadav5,6, Ronnie Wirestam1, Patrick Liebig7, Frederik Testud8, Pia Sundgren3,9,10, Peter C. van Zijl5,6, and Linda Knutsson1,5,6

1Department of Medical Radiation Physics, Lund University, Lund, Sweden, 2Philips Healthcare, Copenhagen, Denmark, 3Lund University Bioimaging Centre, Lund University, Lund, Sweden, 4BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 5Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 6F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, 7Siemens Healthcare GmbH, Erlangen, Germany, 8Siemens Healthcare AB, Malmö, Sweden, 9Department of Radiology, Lund University, Lund, Sweden, 10Department of Medical Imaging and physiology, Skåne University hospital, Lund, Sweden

D-glucose is proposed as a cheap biodegradable alternative to gadolinium-based contrast agents. By performing glucoCEST imaging during and after administration of glucose, an approach referred to as dynamic glucose-enhanced (DGE) MRI, information about glucose delivery and uptake can be obtained. However, the small DGE signal changes at 3 T can easily be corrupted by motion. Furthermore, standard retrospective motion correction may erroneously alter true DGE signal, which may lead to misinterpretation. We designed a numerical head phantom that can be used for validation of motion correction and providing insight into the corresponding effects in vivo


1997
Computer 92
Numerical optimization and validation of Lactate CEST (LATEST) imaging at 3T: In-situ and in-vivo feasibility studies
Karl Ludger Radke1, Daniel Benjamin Abrar1, Miriam Frenken1, Lena Marie Wilms1, Matthias Boschheidgen1, Patrick Liebig2,3, Alexandra Ljimani1, Sven Nebelung1,4, Hans-Jörg Wittsack1, and Anja Müller-Lutz1

1University Dusseldorf, Medical Faculty, Department of Diagnostic and Interventional Radiology, Düsseldorf, Germany, 2Cent. of Med. Phys. and Biomed. Eng., Friedrich-Alexander-Univ. Erlangen-Nürnberg, Erlangen, Germany, 3Siemens Healthcare GmbH, Erlangen, Germany, 4Department of Diagnostic and Interventional Radiology, University Hospital Aachen, Aachen, Germany

Quantification of altered lactate concentrations with non-invasive MR imaging is of diagnostic interest in a broad spectrum of diseases and further analysis of athletic activity. In this context, chemical exchange saturation transfer (CEST) is an increasingly validated contrast mechanism in MRI. However, successful application of CEST requires efficient selective saturation of the exchanging lactate protons. In this study, we successfully optimized and investigated the application of intramuscular lactate CEST imaging (LATEST) supported by numerical simulations and were able to apply LATEST for the first time in-vivo at 3.0 T.

1998
Computer 93
Simultaneous molecular 68Ga-PRDG2 and perfusion PET-MR imaging in a patient with sickle cell disease
Chan Hong Moon1, Carolyn Anderson1,2,3,4,5, Sina Tavakoli 5,6, Tiffany Pham 6, Lydia Perkins5, Lynda Little-Ihrig5, Neal Mason1, Xiaoyuan Chen7, Charles Laymon1,2, Mark Gladwin5, and Enrico Novelli 3,5

1Department of Radiology, University of Pittsburgh, Pittsburgh, PA, United States, 2Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, United States, 3Department of Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh, PA, United States, 4Department of Chemistry, University of Pittsburgh, Pittsburgh, PA, United States, 5Department of Medicine, University of Pittsburgh, Pittsburgh, PA, United States, 6Gilead Sciences, Foster City, CA, United States, 7National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD, United States

Sickle cell disease (SCD) causes vaso-occlusion, ischemia, and end-organ infarction that causes acute pain episodes, also known as vaso-occlusive crises (VOC). Understanding the mechanism underlying VOC is critical to identify patients at risk and for accurate diagnosis while in VOC. PET imaging with the probe 68Ga-PRGD2 that binds integrin αvβ3 identified areas of increased binding of  sickle RBC to the endothelium in VOC. Simultaneous PET-MR imaging could provide additional information on tissue changes associated with VOC. Thus, we imaged a patient with SCD with 68Ga-PRGD2 in combination with MRI by using PET-MR 3T scanner.


CEST

Exhibition Hall:S8 & S9
Wednesday 10:15 - 11:15
Contrast Mechanisms
Module : Module 31: Molecular Imaging

2073
Computer 63
Steady-state CEST-MRI using a reduced saturation period: Application to volumetric APT and rNOE brain imaging at 3T
Johannes Breitling1, Andreas Korzowski1, Mark E. Ladd1,2,3, Peter Bachert1,2, and Steffen Goerke1

1Division of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 2Faculty of Physics and Astronomy, University of Heidelberg, Heidelberg, Germany, 3Faculty of Medicine, University of Heidelberg, Heidelberg, Germany

In this study, we demonstrate the feasibility of obtaining steady-state 3D CEST contrasts of the human brain at 3T using a reduced saturation period. To this end, we applied our previous approach, which utilizes the analytical equation of the CEST signal, to an optimized clinical protocol using a fast volumetric snapshot-CEST acquisition. Measurements on model solutions and a volunteer demonstrated the feasibility with almost identical APT and rNOE contrasts for saturation durations as short as 1 second. Consequently, this facilitates quantitative CEST-MRI in humans within a reasonable and clinically relevant time frame.

2074
Computer 64
Modelling inhomogeneous magnetization transfer in myelin and intra-/extra-cellular water in normal and injured rat spinal cords
Michelle H Lam1,2, Andrew Yung2, Jie Liu3, Wolfram Tetzlaff3, and Piotr Kozlowski1,2,3,4

1Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada, 2UBC MRI Research Centre, University of British Columbia, Vancouver, BC, Canada, 3International Collaboration on Repair Discoveries, Vancouver, BC, Canada, 4Radiology, University of British Columbia, Vancouver, BC, Canada

An MR imaging technique called inhomogeneous magnetization transfer (ihMT) could potentially be used for quantitative myelin imaging by using T1D filtering to filter out the short dipolar relaxation time (T1D) components. However, to show that ihMT with T1D filtering is myelin-specific, we need to confirm that myelin has the longest T1D in nerve tissue. Here, we combined ihMT and myelin water imaging (MWI) to separate the ihMT signal in myelin water from intra-/extra-cellular water, which we fitted using a four-pool model with dipolar order reservoirs. Our model allowed us to connect myelin with myelin water and measure myelin’s T1D.

2075
Computer 65
comprehenCEST: a clinically feasible CEST protocol to cover all existing CEST preparations
Lukas Kamm1, Kai Herz2, Maria Sedykh1, Moritz Fabian1, and Moritz Zaiss1,2

1Neuroradiology, Friedrich-Alexander-University Erlangen-Nürnberg, University Hospital, Erlangen, Germany, 2Magnetic Resonance Center, Max-Planck-Institute for Biological Cybernetics, Tübingen, Germany

In a clinical setting, it often has to be decided, which CEST sequences to pick of a collection, due to measurement time limitations. Therefore, eventually not all of the desired contrasts can be measured. In this work, we comprehensively combine seven CEST protocols in a single measurement, use a fast single-shot 3D gradient echo readout and remove redundant regions of the experimental parameter space. Hereby, we can half the total measurement time from 35 to 17 minutes. With further parameter reduction, a total measurement time of 10 minutes is conceivable. This allows to design powerful hypothesis generating clinical pilot studies.

2076
Computer 66
Repeatability of APTw imaging at 7T
Iris Obdeijn1,2, Lejla Alic2, Maarten Lequin1,3, Sabine Plasschaert3, Wybe van der Kemp1, Hans Hoogduin1, Dennis Klomp1, Jannie Wijnen1, and Evita Wiegers1

1Department of Radiology, University of Medical Centre Utrecht, Utrecht, Netherlands, 2Magnetic Detection and Imaging Group, Technical Medical Centre, University of Twente, Enschede, Netherlands, 3Department of paediatric neuro-oncology, Princess Maxima Centre, Utrecht, Netherlands

APTw imaging is a potential imaging biomarker to assess treatment effects in brain tumours, especially at high field MRI (7T) due to improved signal-to-noise-ratio enabling the assessment of APTw values in heterogenous tumours. Embedding of APTw imaging in clinical decision making requires insight in the repeatability of APTw imaging. Therefore, we evaluated the repeatability of APTw imaging at 7T by using a phantom and in vivo in the human brain subjects. Repeatable and specific APTw maps were obtained at 7T, which facilitate the potential of detecting metabolic changes in brain tumours due to treatment.  

2077
Computer 67
Optimization of Pulsed Chemical Exchange Saturation Transfer MRI by Optimal Control
Clemens Stilianu1, Christina Graf1, Clemens Diwoky2, Martin Soellradl1, Armin Rund3, Moritz Zaiss4, and Rudolf Stollberger1

1Medical Engineering, TU Graz, Graz, Austria, 2647 Institut für Molekulare Biowissenschaften, University of Graz, Graz, Austria, 3Institute for Mathematics and Scientific Computing, University of Graz, Graz, Austria, 4Department High-field Magnetic Resonance, Max Planck Institute Tübingen, Tübingen, Germany

We optimized CEST saturation pulse train using an optimal control framework and validated the simulation results on a preclinical scanner that allowed also Gold Standard continuous wave saturation. The optimized pulses almost reached the same saturation as the continuous wave pulse while addressing the allowed duty cycle and SAR limitations of clinical scanners. In measurements, the optimized pulses outperform state-of-the-art Gaussian pulses by over $$$47\%$$$.

2078
Computer 68
Super-Resolution for CEST MRI
Lukas Folle1, Katharina Tkotz2, Andrzej Liebert2, Fasil Gadjimuradov1, Lorenz Kapsner2, Moritz Fabian3, Sebastian Bickelhaupt2, David Simon4, Arnd Kleyer4, Gerhard Krönke4, Frank Roemer2, Moritz Zaiss3,5, Armin Nagel2,6, and Andreas Maier1

1Computer Science, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany, 2Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany, 3Institute of Neuroradiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany, 4Department of Internal Medicine 3, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany, 5Magnetic Resonance Center, Max-Planck-Institute for Biological Cybernetics, Tübingen, Germany, 6Division of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany

The resolution of chemical exchange saturation transfer (CEST) magnetic resonance imaging is limited by physical constraints. To visualize metabolic processes of small structures using CEST in patients knees, an increased resolution is necessary. In this work, we compared trilinear interpolation and zero-filling to neural network-based approaches to estimate a high-resolution image given the corresponding low-resolution data. We could show that a substantial quantitative improvement using neural networks could be achieved for unsaturated images while maintaining a comparable CEST contrast. Generalization of the method to brain CEST MRI was achieved without retraining of the network.

2079
Computer 69
Robust Lorentzian fitting of CEST spectra utilizing joint spatial regularization
Oliver Maier1, Moritz Simon Fabian2,3, Angelika Barbara Mennecke2, Manuel Schmidt2, Arnd Dörfler2, Kristian Bredies4, Moritz Zaiss2,3, and Rudolf Stollberger1,5

1Institute of Medical Engineering, Graz University of Technology, Graz, Austria, 2Department of Neuro-radiology, University Clinic of Erlangen, Erlangen, Germany, 3Friedrich-Alexander-University, Erlangen, Germany, 4Institute of Mathematics and Scientific Computing, University of Graz, Graz, Austria, 5BioTechMed Graz, Graz, Austria

Chemical Exchange Saturation Transfer (CEST) enables characterization of tissue in vivo by measuring a z-spectrum. Quantitative separation of individual contributions to this spectrum is performed by fitting several Lorentzian shaped lines to the acquired data. Current implementations of the fitting procedure suffer from poor SNR and ambiguity of peaks lying close to each other. To this end, we propose to include a joint spatial regularization to the fitting process to counter the poor SNR and thus improve separation of individual peaks in the final reconstruction.

2080
Computer 70
Principal Component selections and filtering by spatial information criteria for multi-acquisition CEST MRI denoising
Stefano Casagranda1, Christos Papageorgakis1, Feriel Romdhane2, Eleni Firippi1, Timothé Boutelier1, Laura Mancini3,4, Moritz Zaiss5, Sotirios Bisdas3,4, and Dario Livio Longo2

1Department of Research & Innovation, Olea Medical, La Ciotat, France, 2Institute of Biostructures and Bioimaging (IBB), National Research Council of Italy (CNR), Torino, Italy, 3Lysholm Department of Neuroradiology,, University College of London Hospitals NHS Foundation Trust, London, United Kingdom, 4Institute of Neurology UCL, London, United Kingdom, 5Department of Neuroradiology, University Clinic Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Erlangen, Germany

This work provides a new denoising methodology for multi-acquisition magnetic resonance images (MRI) based on principal components analysis (PCA). We are proposing a new principal component selection criterion that identifies spatial information in the extracted component coefficients, leading to a better preservation of anatomical structures and pathological information. In addition, our adaptive filtering step allows us to further denoise the MRI data, rejecting persistent spatial noise from the extracted component coefficients. In our investigations the proposed method outperformed the eigenvalue based selection criteria on Amide Proton Transfer weighted CEST data.

2081
Computer 71
Repeatability of B1 Inhomogeneity Correction of Volumetric (3D) Glutamate CEST via High-Permittivity Dielectric Padding at 7T
Paul Samuel Jacobs1, Ravi Prakash Reddy Nanga1, Abigail Cember1, Dylan M Tisdall2, Sandhitsu Das3, John Detre1,3, David Roalf4, and Ravinder Reddy1

1CAMIPM, Radiology, University of Pennsylvania, Philadelphia, PA, United States, 2Radiology, University of Pennsylvania, Philadelphia, PA, United States, 3Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States, 4Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, United States

Dielectric pads were used to improve the contrast of volumetric (3D) gluCEST via enhanced homogenization of B1 fields. Effective placement of the pads required additional coverage of the face due to their physical size to achieve the saturated B1 strength necessary to recover the gluCEST signal from the anterior portions of the brain. The origin of gluCEST's need for high B1 is discussed, and examples of 3D gluCEST images acquired with and without the use of the dielectric pads are provided and repeatability of the 3D gluCEST in the presence of pad placement was determined.

2082
Computer 72
Optimization of pH-Weighted Contrasts in the Spinal Cord using Chemical Exchange Saturation Transfer (CEST) MRI
Alicia Cronin1,2, Patrick Liebig3, Sarah Detombe4, Neil Duggal1,4, and Robert Bartha1,2

1Medical Biophysics, Western University, London, ON, Canada, 2Centre for Functional and Metabolic Mapping, Robarts Research Institute, London, ON, Canada, 3Siemens Healthcare GmbH, Erlangen, Germany, 4Clinical Neurological Sciences, University Hospital, London Health Sciences Centre, London, ON, Canada

Degenerative cervical myelopathy (DCM) is a degenerative disease of the spine that leads to compression and neurological dysfunction. Recovery after surgery can be impacted by hypoxia in the cord, however the magnitude of this effect is currently unknown. Chemical Exchange Saturation Transfer (CEST) can produce contrast related to tissue pH, an indicator of hypoxia, but the method works best at ultra-high fields. Performing CEST in the spinal cord is also complicated by respiratory and cardiac motion and cerebrospinal fluid flow. The purpose of this work was to optimize pH-weighted CEST imaging in the human spinal cord at 3 Tesla.

2083
Computer 73
CEST effects change with age
Angelika Barbara Mennecke1, Katrin Khakzar1, Alexander German1, Kai Herz2, Moritz Fabian1, Andrzej Liebert3, Armin M. Nagel3, Frederik B. Laun3, Manuel Schmidt1, Jürgen Winkler4, Arnd Dörfler1, and Moritz Zaiss1

1Neuroradiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany, 2Max Planck Institute for Biological Cybernetics, Tübingen, Germany, 3Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany, 4Neurology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany

The amide and rNOE CEST amplitudes are negatively correlated with age. Most prominently, the mean gray matter amide CEST amplitude decreases on average by 0.22 % per year of age in the cohort of our study.

2084
Computer 74
Quantitative imaging of gene therapy delivery vehicles using CEST-NMR/MRI
Bonnie Lam1, Mark Velasquez1, Aaron J. Velasquez-Mao1, Kevin Godines1, Wissam AlGhuraibawi1, and Moriel Vandsburger1

1Bioengineering, University of California, Berkeley, Berkeley, CA, United States

We hypothesized that AAV2 capsids may generate endogenous CEST contrast similar to LRP. We tested this using NMR CEST under varying pH, density, biological transduction stage, across serotypes and mixed biological media. Subsequent experiments determined the pH-dependent exchange rate and optimized CEST saturation schemes for AAV contrast detection at 7T. The results of this study reveal that AAV capsids generate endogenous CEST contrast around 0.6-0.8ppm. Exchangeable protons are likely from serine and threonine residues on the AAV capsid. Based on calculated fast exchange rates, an optimized CEST saturation scheme generated robust CEST contrast in mixed biological media phantoms at 7T. 

2085
Computer 75
Quantitative 3D Mapping of Cr and PCr Concentrations at 3T using Snapshot AREX CEST MRI
Or Perlman1, Jaume Coll-Font1,2, Kai Herz3,4, Moritz Zaiss3,5, Christopher Nguyen1,2,6, and Christian T. Farrar1

1Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States, 2Cardiovascular Research Center, Cardiology Division, Massachusetts General Hospital, Charlestown, MA, United States, 3Magnetic Resonance Center, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, 4Department of Biomedical Magnetic Resonance, University of Tübingen, Tübingen, Germany, 5Department of Neuroradiology, Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), University Hospital Erlangen, Erlangen, Germany, 6Health Science Technology, Harvard-MIT, Cambridge, MA, United States

The dynamics of creatine and phosphocreatine distributions provide an important means for assessing metabolic function. While CEST-weighted MRI allows for the imaging of metabolite alterations, it is affected by semisolid-MT, spillover, and T1 contributions, and is typically analyzed on a two-dimensional image, given the inherently long acquisition times. Here, we performed 3D quantitative mapping of Cr and PCr concentrations in the human calf muscle at 3T, using a rapid snapshot-CEST protocol followed by apparent exchange-dependent relaxation (AREX) analysis. Significant (p<0.001) changes in the concentrations of both creatine and phosphocreatine were measured during exercise, in agreement with the literature.

2086
Computer 76
Whole Brain 1.3 mm isotropic APTw CEST at 3T in under 2 minutes
Patrick Liebig1, Maria Sedykh2, Kai Herz3,4, Yi-Cheng Hsu5, Moritz Fabian2, Angelika Mennecke2, Manuel Schmidt2, Arnd Doerfler2, and Moritz Zaiss2,3

1Siemens Healthcare GmbH, Erlangen, Germany, 2Department of Neuroradiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany, 3Magnetic Resonance Center, Max-Planck-Institute for Biological Cybernetics, Tuebingen, Germany, 4Department of Biomedical Magnetic Resonance, University of Tübingen, Tuebingen, Germany, 5MR Collaboration, Siemens Healthineers Ltd., Shanghai, China

CEST MRI suffers from long acquisition times and/or limited volume coverage. Here we suggest using a spatio-temporal variable density Poisson disk design for whole brain APTw snapshot CEST. This enabled us to acquire 1.3 mm isotropic whole brain APTw CEST maps in under 2 minutes. All the reconstruction and necessary adjustment steps were implemented within the scanner software, enabling a push-button B0-corrected CEST measurement.


2087
Computer 77
Intracellular Acidification Monitored by Chemical Exchange Saturation Transfer MRI: Effect of Cariporide in Rat C6 Brain Tumor
Maryam Mozaffari1, Nivin Nystrom2, Alex Li2, Miranda Bellyou2, Timothy Scholl1, and Robert Bartha1

1Medical Biophysics, Western Univeristy-Robarts Reserch Institute, London, ON, Canada, 2Western Univeristy-Robarts Reserch Institute, London, ON, Canada

Our objective was to acidify rat C6 gliomas by inhibiting NHE1 with cariporide and to monitor the pH changes with AACID-CEST MRI. AACID-CEST MRI was successfully used to monitor changes in tumor pHi over time after cariporide injection. Our results showed a pH decrease in both the tumor and the contralateral tissue following cariporide injection. CEST-MRI measurement of tumor response pH could help to enhance the efficacy of this treatment paradigm in different human malignancies.

2088
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Development of CEST MRI for the characterization of Alzheimer’s Disease
Fang Frank Yu1, Natalie M Bell1, Elizabeth M Davenport1,2, Spencer Bowen1,2, Brendan James Kelley3, Ivan Dimitrov2,4, Jochen Keupp5, and Elena Vinogradov1,2

1Radiology, University of Texas Southwestern Medical Center, Dallas, TX, United States, 2Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, United States, 3Neurology, University of Texas Southwestern Medical Center, Dallas, TX, United States, 4Philips Healthcare, Gainseville, GA, United States, 5Philips Research, Hamburg, Germany

Alzheimer’s Disease (AD) is the leading cause of dementia, afflicting over 5 million Americans and 45 million people worldwide. We are developing CEST protocol for the characterization of abnormal protein accumulation and pathological molecular changes in AD. Our results indicate increased CEST in all frequency ranges, with the maximum around 2ppm. While preliminary, this data demonstrates CEST MRI is capable of clear differentiation between patients with AD and healthy individuals.


Fat & Thermometry

Exhibition Hall:S8 & S9
Wednesday 14:30 - 15:30
Contrast Mechanisms
Module : Module 23: MR Contrasts

2165
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MAGORINO: Magnitude-only fat fraction and R2* estimation with Rician noise modelling
Timothy JP Bray1,2, Alan Bainbridge3, Margaret A Hall-Craggs1,2, and Hui Zhang4

1Centre for Medical Imaging, University College London, London, United Kingdom, 2Department of Imaging, University College London Hospital, London, United Kingdom, 3Medical Physics, University College London Hospital, London, United Kingdom, 4Centre for Medical Image Computing, University College London, London, United Kingdom

Magnitude signal-based fitting of chemical shift-encoded data enables proton density fat fraction (PDFF) and R2* estimation where complex signal-based fitting fails or when phase data are inaccessible/unreliable, such as in multicentre studies. However, traditional magnitude-based fitting suffers from Rician noise-related bias and fat-water swaps, limiting utility. Here, we propose MAGORINO, an algorithm combining Magnitude-Only PDFF and R2* estimation with Rician Noise modelling, to address these limitations.  We demonstrate that MAGORINO outperforms traditional Gaussian noise-based magnitude-only estimation through (i) reduced noise-related bias and (ii) reduced fat-water swaps. This may be valuable in multicentre studies or when phase data are otherwise inaccessible/unreliable.

2166
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Improving the Accuracy of Fat Fraction Values from a 2-Point Dixon Acquisition
Sheng-Qing Lin1, Sebastian Fonseca1, Durga Udayakumar1,2, and Ananth J. Madhuranthakam1,2

1Radiology, UT Southwestern Medical Center, Dallas, TX, United States, 2Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, TX, United States

Fat fraction (FF) mapping using whole-body MRI is clinically valuable for the assessment of treatment response in diseases such as multiple myeloma. MRI FF maps can be accurately measured using multi-point acquisitions such as mDixon-Quant, however, they are not feasible for whole-body acquisitions. We have previously developed a “dark-fat” masking algorithm that can account for residual fat signal in water-only images from 2-point Dixon fat/water separation, that are readily feasible with whole-body MRI. In this study, we demonstrate the utility of this algorithm across a range of proton-density FF using a multi-compartment commercial FF phantom.

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Real-time automatic temperature regulation during MRI-guided Laser Interstitial Thermal Therapy (MR-LITT)
Manon Desclides1,2,3, Valéry Ozenne1,3,4,5, Pierre Bour2, Guillaume Machinet6, Christophe Pierre6, Stéphane Chemouny2, and Bruno Quesson3,4,5

1UMR5536 CRMSB, Université de Bordeaux, Bordeaux, France, 2Certis Therapeutics, Pessac, France, 3IHU Liryc, Electrophysiology and Heart Modeling Institute, Hopital Xavier Arnozan, Pessac, France, 4Centre de Recherche Cardio-Thoracique de Bordeaux, U1045, University of Bordeaux, Bordeaux, France, 5INSERM, Centre de Recherche Cardio-Thoracique de Bordeaux, U1045, Bordeaux, France, 6ALPhANOV, Talence, France

We present here a method to automatically regulate heat deposition during Laser Interstitial Thermal Therapy to precisely control temperature evolution during the procedure. The method relies on real-time rapid volumetric thermometry using the Proton Resonance Frequency Shift technique and a regulation algorithm that adjusts every second the emitted power by the laser to force temperature to follow a predefined temperature-time profile.

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Validation of a 3D MR temperature imaging sequence for use during breast magnetic resonance guided focused ultrasound treatments
Samuel Ian Adams1, Sara Johnson2, Henrik Odéen2, Dennis Parker2, and Allison Payne2

1Biomedical Engineering, University of Utah, Salt Lake City, UT, United States, 2Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, United States

This work presents a 3D MR temperature imaging (MRTI) sequence for breast MRgFUS. A 3D gradient echo with segmented echo planar imaging readout sequence with time-varying drift correction was used in female volunteers and tissue-mimicking phantoms. Temperature changes due to FUS heating in phantoms were measured with fiberoptic probes and compared to MRTI. Non-heating volunteer data was also acquired. Temperature in the phantom studies was accurate compared to FO probes with an RMSE of 1.0°C. Mean precision and accuracy of 1.05 and 1.29°C were measured in healthy volunteers. This sequence provides accurate and precise 3D temperature measurements for breast MRgFUS.

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In vivo simultaneous proton resonance frequency shift thermometry and single reference variable flip angle T1­ measurement
Nicholas Richards1, Henrik Odeen1, Sara Johnson1, Dennis Parker1, and Allison Payne1

1University of Utah, Salt Lake City, UT, United States

Simultaneous proton resonance frequency shift thermometry and T1 measurements were obtained in an in vivo rabbit model using the single reference variable flip angle method. Focused ultrasound was used to heat tissue volumes of muscle and volumes at the fat/muscle interface. Temporal resolution for PRF shift temperatures and T1 changes was 1.71 s. Peak heated muscle voxels showed an increase in T1 of 1.6%/°C. T1 increases were observed in fat at or near the ultrasound focus.

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Evaluation of Repeated MR Chemical Shift Brain Thermometry in Healthy Humans
Kelly J. Wang1,2, Dongsuk Sung2,3, Benjamin B. Risk4, Jason W. Allen2,3, and Candace C. Fleischer2,3

1Department of Neuroscience, Georgia Institute of Technology, Atlanta, GA, United States, 2Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, United States, 3Department of Biomedical Engineering, Georgia Institute of Technology, Emory University, Atlanta, GA, United States, 4Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA, United States

Magnetic resonance (MR) chemical shift thermometry (CST) is the only method that can approximate absolute rather than relative temperature. Our goal was to evaluate repeated body and brain MR CST measurements and the brain-body temperature gradient in healthy human volunteers over a short time period. While brain, body, or the difference between brain and body temperatures were not significantly different, variations in brain temperature between measurements were observed suggesting fluctuations over short time periods. Further investigation into the time scale of brain temperature fluctuations, particularly under controlled conditions to account for physiological changes and neural activity, are warranted. 

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High spatial and temporal resolution absolute temperature imaging of Ethylene Glycol
Henrik Odéen1, Lorne Hofstetter1, Seong-Eun Kim1, and Dennis L Parker1

1Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, United States

Multi-echo MRI was used to image and detect peak spacing between OH groups in ethylene glycol. The OH peak spacing was shown to change linearly with temperature, and the fit from one experiment could be used to accurately reconstruct absolute temperatures from another experiment. This approach can provide high spatial and temporal resolution absolute temperature measurements for ex vivo applications.

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Finding the optimal temperature calibration for postmortem MRS thermometry in forensic medicine
Niklaus Zoelch1,2, Jakob Heimer1, Henning Richter3, Michael J. Thali1, and Dominic Gascho1

1Institute of Forensic Medicine, University of Zurich, Zurich, Switzerland, 2Zurich University Hospital of Psychiatry, University of Zurich, Zurich, Switzerland, 3Clinic of Diagnostic Imaging, Vetsuisse Faculty, University of Zurich, Zurich, Switzerland

MRI and MRS are finding more and more their way into forensic medicine. Unlike in vivo measurements, however, the temperature of cadavers in forensic medicine varies considerably and affects the performed measurement. The present study investigated how well published calibrations measured in vivo or in phantoms are suited for postmortem MRS thermometry. Postmortem MRS thermometry would allow to estimate and possibly correct the effects of the local temperature in a forensic setting. The study reveals that despite strong postmortem changes, a reliable estimation of the local temperature over up to 60 hours after death is possible with available temperature calibrations.


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Fast T1-based MR Thermometry at Low Magnetic Field
Marco Fiorito1, Maksym Yushchenko1, Davide Cicolari2, Mathieu Sarracanie1, and Najat Salameh1

1Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland, 2Department of Physics, University of Pavia, Pavia, Italy

Thanks to the enhanced T1 dispersion and its linear dependence on temperature over the typical hyperthermia range, T1 mapping represents a serious candidate for temperature mapping at low magnetic fields. Nonetheless, T1 acquisitions are typically long and sensitivity if further reduced at low field regimes. Here we propose a Look-Locker-based temperature mapping sequence that takes advantage of the inherently higher signal gathered using a bSSFP approach. Temperatures spanning from 25 to 50°C could be mapped in doped-water samples with a temporal resolution of 20s/slice and with a precision of 2.6±1.9°C.

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Towards MR-guided Hyperthermia at Low Field: a Proof-of-Concept Investigation
Marco Fiorito1, Mauro Spreiter1, Maksym Yushchenko1, Mathieu Sarracanie1, and Najat Salameh1

1Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland

MR-guided hyperthermia at low magnetic field is challenging due to the inherently low SNR, which typically calls for multiple signal averages. Dedicated coils are crucial at this field regime, to maximise signal acquisition. In this study we built a custom RF coil which integrates a water-based heating system to reproduce hyperthermia conditions in hands. Using a fast T1-mapping sequence, we could successfully monitor the temperature variations generated in a phantom over 120min. A first in vivo employment in a volunteer’s hand at room temperature was also shown, achieving a spatial and temporal resolution compatible with hyperthermia requirements.


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Fluorinated Tm3+-complexes as molecular temperature sensors
Felix Mysegaes1,2, Pauline Voigt1, Isabell Prediger2, Johannes Bernarding2, and Markus Plaumann2

1Institut für Organische und Analytische Chemie, University of Bremen, Bremen, Germany, 2Institute of Biometry and Medical Informatics, Otto-von-Guericke University Magdeburg, Medical Faculty, Magdeburg, Germany

Temperature is an important factor for various physiological phenomena.  Hyperthermia and hypothermia are only two examples in clinical application. As the resolution of MR data increases, so does interest in the exact determination of the temperature. Molecular sensors offer the opportunity to determine temperature in living organisms. Based on the preliminary investigations of our working group using Ce3+ complexes, the more detailed characterization of Tm3+ complexes was carried out with regard to the temperature sensitivity of the 19F MR signals and, for the first time, also to the toxicity using the example of fibroblasts.

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Dual-echo single-shot SMS EPI for improved MR thermometry
Ronald Mooiweer1,2, Raphaël Tomi-Tricot1,2, Axel Joachim Krafft3, Waqas Majeed4, Himanshu Bhat4, Reza Razavi1, Radhouene Neji1,2, and Sébastien Roujol1

1School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom, 2MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom, 3Siemens Healthcare GmbH, Erlangen, Germany, 4Siemens Medical Solutions USA Inc., Malvern, PA, United States

MR thermometry using dual-echo single-shot EPI was evaluated in a phantom. Dual-echo EPI resulted in better temperature stabilities than the single echo acquisitions. This sequence was successfully combined with SMS, which also resulted in higher temperature stability than the single echo acquisitions.



Elastography

Exhibition Hall:S8 & S9
Wednesday 15:30 - 16:30
Contrast Mechanisms
Module : Module 23: MR Contrasts

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Free-Breathing MR Elastography of the Kidneys Using TURBINE-MRE
Yi Sui1, Jiahui Li1, Zheng Zhu1, Kevin J Glaser1, Nana K Owusu1, Joshua D Trzasko1, Arvin Arani1, Ziying Yin1, Phillip J Rossman1, Meng Yin1, and Richard L Ehman1

1Department of Radiology, Mayo Clinic, Rochester, MN, United States

A free-breathing hybrid radial-cartesian 3D MR elastography technique (TURBINE-MRE) was extended for kidneys with a dual driver system. This technique provides wave images and stiffness maps in a single 3.5-minute free-breathing acquisition. The feasibility of the new technique was demonstrated in a healthy volunteer.

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Numerical simulation of wave propagation through interfaces using the eXtended FEM for MR elastography
Quanshangze DU1, Simon Auguste LAMBERT2, Nahiène HAMILA3, and Aline BEL-BRUNON1

1Univ Lyon, INSA Lyon, CNRS, LaMCoS, UMR5259, 69621 Villeurbanne, France, 2Université de Lyon, INSA Lyon, Université Claude Bernard Lyon 1, Ecole Centrale de Lyon, CNRS, Ampère UMR5005, Villeurbanne, France, 3ENI Brest, UMR CNRS 6027, IRDL, F-29200 Brest, France

The finite element method (FEM) is widely used for modeling wave propagation and stiffness reconstruction in magnetic resonance elastography (MRE). However, it is not that efficient for modeling inclusions with complex interfaces. Here, we propose a formulation of FEM known as the eXtended FEM (XFEM), and investigate this method in two studies: wave propagation across an oblique linear interface and stiffness reconstruction of a random-shape inclusion. XFEM results present good agreement with the theoretical predictions and FEM simulation results. XFEM can be regarded as an ideal alternative to FEM for inclusion modeling in MRE.

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Multiresolution MR elastography reconstruction and comparison of different direct inversion algorithms in the liver
Gwenaël Pagé1, Félicia Juléa1, Valérie Paradis2, Valérie Vilgrain1,3, Dominique Valla4, Bernard E. Van Beers1,3, and Philippe Garteiser1

1Laboratory of imaging biomarkers, INSERM UMR 1149, Paris, France, 2Center for research on inflammation, INSERM UMR 1149, Paris, France, 3Department of Radiology, University Hospital Paris Nord, Clichy, France, 4Hepatology service, University Hospital Paris Nord, Clichy, France

In this study we propose using a MR elastography reconstruction method adjust the ratio between wavelength and spatial resolution, by resampling the matrix of shear displacement locally, to optimize the quality of the reconstruction. This reconstruction algorithm was compared to existing direct inversion algorithms in phantoms, healthy volunteers and patients with liver fibrosis. We observed that the algorithm k-MDEV showing the best performance in phantoms and patients did not have the best repeatability. Our proposed method improved the diagnostic performance for advanced fibrosis, compared to classical direct inversion method, without a negative effect on repeatability.

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Shear stiffness measured by MR elastography correlates with compression modulus in ex vivo rat livers subjected to increasing portal pressure.
Yasmine Safraou1, Karolina Graczynska1, Tom Meyer1, Heiko Tzschätzsch1, Thomas Fischer1, Jürgen Braun1, Ingolf Sack1, and Jing Guo2

1Radiology, Charité – Universitätsmedizin Berlin, Berlin, Germany, 2Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany

To investigate the effect of perfusion pressure on liver stiffness, 13 ex-vivo rat livers were studied by volumetric MRI, MR elastography (MRE) and diffusion MRI under controlled portal pressures between 0 and 15 cmH2O. Liver volume, tissue-vascular volume fraction, stiffness and bulk modulus decreased while water diffusivity increased with increasing portal pressure. Collectively, our findings suggest that liver softening is caused by a relative increase in fluid volume while an increased vascular pressure, potentially increasing liver stiffness, is of minor importance when tissue can freely expand, as in our scenario.

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Investigating the Repeatability of Multifrequency Magnetic Resonance Elastography applied to a Soft Gelatin Phantom
Owais Siddiqi1, Jessica Winfield1,2, Konstantinos Zormpas-Petridis1, Emma Harris1, Anand Ramkumar1, Antonio Candito1, Steffen Görner3, Christina Messiou1,2, Matthew Blackledge1, and Imogen Thrussell1,2

1Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, United Kingdom, 2Department of Radiology, The Royal Marsden NHS Foundation Trust, London, United Kingdom, 3Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany

New measures of response are required that can capture the inherent heterogeneity and the heterogeneous changes observed in soft tissue tumours. Shear-wave Magnetic Resonance Elastography (MRE) measures stiffness of tissue by measuring the propagation of externally applied shear waves. In this study we explore the test-retest repeatability of Multifrequency MRE (MMRE), acquired using an echo-planar imaging readout applied to a soft gelatin phantom used to mimic the stiffness of soft-tissue tumours. Our results suggest MMRE is highly repeatable and supports further investigation in using MMRE to measure response in soft-tissue tumours.

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Breathing task paradigm to improve the quality of pancreatic Magnetic Resonance Elastography
Nienke P.M. Wassenaar1, Anne-Sophie van Schelt1, Eric M. Schrauben1, Rémi van der Woude2, Jamila E. de Jong2, Jules L. Nelissen1, Hanneke W.M. van Laarhoven3, Jing Guo4, Ingolf Sack4, Jurgen H. Runge1, Aart J. Nederveen1, and Jaap Stoker1

1Radiology and Nuclear Medicine, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands, 2University of Twente, Enschede, Netherlands, 3Department of Medical Oncology, Cancer Center Amsterdam, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands, 4Department of Radiology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany

Free-breathing acquisition of pancreatic MR elastography can potentially introduce errors in stiffness reconstruction. In this study, breathing tasks are introduced during interleaved and reversed slice order MRE acquisition to determine if the quality of MRE increases. The shear-wave speed and octahedral shear strain signal-to-noise-ratio in the pancreas did not significantly change when using breathing tasks. However, the stability of the pancreas location over time increases when using breathing tasks combined with reversed slice ordering as well as the octahedral shear strain signal-to-noise-ratio in the whole abdomen. Future research should focus on comparing shear-wave speed reproducibility of both MRE methods.

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MR Elastography of short T2 samples with Optimal Control-based RF pulses demonstrated on Achilles tendon
Pilar Sango-Solanas1, Kevin Tse-Ve-Koon1, Eric Van Reeth1,2, Cyrielle Caussy3,4, and Olivier Beuf1

1Univ Lyon, INSA-Lyon, Inserm, UCBL1, CNRS, CREATIS, UMR 5220, U1294, F-69621, Lyon, France, 2CPE Lyon, Département Sciences du Numérique, Lyon, France, 3Univ Lyon, CarMen Laboratory, INSERM, INRA, INSA Lyon, Université Claude Bernard Lyon 1,69495, Lyon, France, 4Hospices Civils de Lyon, Département Endocrinologie, Diabète et Nutrition, Hôpital Lyon Sud, 6949, Lyon, France

Magnetic Resonance Elastography (MRE) allows the quantitative characterization of mechanical properties of tissues based on the properties of shear wave propagation. MRE uses mostly oscillating motion encoding gradients (MEGs) to encode motion. Their presence involves  long echo times, limiting the application of MEGs to very short T2 tissues. RF pulses designed with an optimal control (OC) algorithm applied with a constant gradient can simultaneously perform slice selection and motion encoding, enabling short echo times. In this study, we used OC pulses to mechanically quantify by MRI for the first time a very short T2 tissue such as the Achilles tendon.

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Quantitative server-based analysis of MR elastography inversion methods on a phantom and the in vivo human kidney
Tom Meyer1, Stephan Rodrigo Marticorena Garcia1, Heiko Tzschätzsch1, Helge Herthum2, Mehrgan Shahryari1, Jürgen Braun2, Prateek Kalra3,4, Arunark Kolipaka3,4, and Ingolf Sack1

1Department of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany, 2Institute of Medical Informatics, Charité - Universitätsmedizin Berlin, Berlin, Germany, 3Department of Biomedical Engineering, The Ohio State University, Columbus, OH, United States, 4Department of Radiology, The Ohio State University, Columbus, OH, United States

Magnetic resonance elastography (MRE) depicts the viscoelastic properties of soft tissues for diagnosis of various diseases such as tumors or fibrosis. However, different MRE inversion methods yield different results. This lack of comparability of different MRE inversion results hinders the dissemination of advanced reconstruction methods. Therefore, we here introduce an extensible, open-access web platform that offers multiple inversion techniques for multifrequency, three-dimensional MRE to promote comparison of values. We demonstrate the utility of the platform in phantom data and in vivo free-breathing multifrequency MRE data of the kidneys of healthy volunteers.

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2D or 3D MR elastography of the brain? Answers from a 1-year follow-up study in healthy volunteers.
Helge Herthum1, Heiko Tzschätzsch1, Mehrgan Shahryari1, Bernhard Kreft1, Steffen Görner1, Stefan Hetzer2, Jürgen Braun1, and Ingolf Sack1

1Charité Universitätsmedizin Berlin, Berlin, Germany, 2Berlin Center for Advanced Neuroimaging, Berlin, Germany

MR elastography(MRE) measures in vivo soft-tissue mechanical parameters which are sensitive to various diseases. Robust and reliable measurements are critical for clinical translation; however, the variability of reported values, especially for MRE in the brain, remains a challenge. We here introduce an optimized setup for high-resolution brain MRE and compare the consistency of values obtained from 2D- and 3D-analysis in a group of healthy subjects studied in the follow-up of a year. Both 2D- and 3D-MRE values agreed very well between the two measurements. Intersubject variability was lower in 2D than in 3D while intrasubject variability was lower in 3D. 

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Initial Study on Imaging Cyclic Tissue Motion with Motion Encoding Gradients in the Shape of Wavelet Basic Functions
Yuan Le1, Jun Chen1, Phillip J. Rossman1, Bradley D. Bolster Jr.2, Stephan Kannengiesser3, and Richard L. Ehman1

1Radiology, Mayo Clinic, Rochester, MN, United States, 2MR Collaborations, Siemens Medical Solutions USA, Inc., Salt Lake City, UT, United States, 3MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany

The goal of this study was to better detect cyclic motion with multiple frequencies in tissue. A novel MRE technique was developed using motion encoding gradient (MEG) pulses of multiple scales (multi-scale MRE). These MEG pulses were designed and timed to approximate a complete basis of Haar wavelet system. Our hypothesis was that a set of orthogonal MEG pulses can capture the tissue motion more efficiently and tissue motion can be reconstructed by a simple inverse transform. Initial tests were performed on a phantom and a volunteer.


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Impact of bowel preparation methods on pancreatic Magnetic Resonance Elastography
Anne-Sophie van Schelt1, Nienke P.M. Wassenaar1, Eric M. Schrauben1, Jules L. Nelissen1, Jing Guo2, Ingolf Sack2, Jaap Stoker1, Aart J. Nederveen1, and Jurgen H. Runge1

1Radiology and Nuclear Medicine, Amsterdam UMC location AMC, Amsterdam, Netherlands, 2Department of Radiology, Charité – Universitätsmedizin Berlin, Berlin, Germany

Pancreas magnetic resonance elastography (MRE) allows non-invasice estimation of tissue stiffness for multiple pathophysiological diseases. MRE reproducibility and the effect of bowel-preparation (butylscopolaminebromide and drinking water) for increased MRE data quality were assessed for the pancreas. Shear wave speed and MRE quality were determined for the pancreas, liver and kidneys. Intrasession and intersession reproducibility showed a coefficient-of-variation of 6.59% and 13.10%. Repeated measures ANOVA showed no significant difference in SWS of all organs (f=3/11,p>0.05). Bowel-preparation methods for pancreatic MRE do not increase MRE quality. Drinking water increases the MRE quality for kidneys and liver whilst not altering the measured SWS.

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Tumor-liver biomechanical interaction investigated by multifrequency MR elastography in patients with HCC
Jiahao Zhou1, Ruokun Li2, Yikun Wang2, Jing Guo3, Ingolf Sack3, and Fuhua Yan2

1radiology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China, 2Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China, 3Department of Radiology, Charité–Universitätsmedizin Berlin, Berlin, Germany, Berlin, Germany

Tumor-liver biomechanical interaction investigated by multifrequency MR elastography in patients with HCC

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Quantifying Relative Displacement and Phase at the Skull-Brain Interface using MR Elastography
Alexa M. Diano1, Grace McIlvain1, Andrew K. Knutsen2, Suhas Vidhate3, Dzung L. Pham2, and Curtis L. Johnson1

1Biomedical Engineering, University of Delaware, Newark, DE, United States, 2Henry M. Jackson Foundation, Bethesda, MD, United States, 3National Institutes of Health, Bethesda, MD, United States

This study uses a novel multishot spiral magnetic resonance elastography (MRE) pulse sequence to simultaneously measure skull and brain motion in vivo in a single acquisition. Results in a healthy volunteer and a fat-water phantom showed a reduced transmission of motion from the skull to the brain in all three directions of motion. Additionally, the skull and brain appear to be out of phase in motion in both the x (left-right) and z (superior-inferior) directions. This research provides a basis for future studies quantifying skull-brain coupling including with multiple actuation frequencies and excitation directions.


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Characterization of tumor mechanical properties in glioma patients using 3D phase-gradient inversion in multifrequency MR elastography
Mehrgan Shahryari1, Pablo Gottheil2, Elisabeth Gertrud Hain3, Helge Herthum4, Heiko Tzschätzsch1, Tom Meyer1, Josef Alfons Käs2, Eberhard Siebert5, Vincent Prinz6,7, and Ingolf Sack1

1Department of Radiology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany, 2Faculty of Physics and Earth Sciences, Peter Debye Institute, Leipzig University, Leipzig, Germany, 3Department of Neuropathology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany, 4Institute of Medical Informatics, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany, 5Institute of Neuroradiology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany, 6Department of Neurosurgery, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany, 7Department of Neurosurgery, University Hospital Frankfurt, Frankfurt am Main, Germany

Clinical MRI is an important method for the delineation and characterization of gliomas for resection planning and therapy monitoring in neurosurgery. Here, we used a 3D curl- and phase-gradient based inversion algorithm in multifrequency magnetic resonance elastography (MRE) to generate maps of the mechanical tumor properties, wave speed and wave damping. Overall, our method improved the spatial resolution of MRE maps in glioma patients and allowed precise measurement of tumor mechanical properties. In the future, the method could help with characterization, surgical planning and treatment monitoring of neuro tumors.

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Brain stiffness correlates with hematocrit
Jakob Seja1, Bernhard Kreft2, Helge Herthum2, Mehrgan Shahryari3, Jürgen Braun2, Ingolf Sack3, and Stefan Hetzer1

1Berlin Center for Advanced Neuroimaging, Charité - Universitätsmedizin Berlin, Berlin, Germany, 2Institute of Medical Informatics, Charité - Universitätsmedizin Berlin, Berlin, Germany, 3Radiology department, Charité - Universitätsmedizin Berlin, Berlin, Germany

The viscosity of blood scales with the concentration of red blood cells (hematocrit) and potentially influences the viscoelasticity of the perfused tissue. In this study, cerebral MR elastography (MRE) was applied to a group of healthy subjects to analyze the interrelation between mechanical properties of brain tissue and the hematocrit. We found a highly significant positive correlation between in-vivo mechanical properties of cerebral tissue and hematocrit level (p<0.0001).

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Acute Lower Body Negative Pressure Changes Human Brain Stiffness in vivo Measured with MR Elastography
Mary K Kramer1, Grace McIlvain1, Faria Sanjana2, Fiona Horvat2, Christopher R Martens2, and Curtis L Johnson1

1Biomedical Engineering, University of Delaware, Newark, DE, United States, 2Kinesiology and Applied Physiology, University of Delaware, Newark, DE, United States

Lower body negative pressure (LBNP) is a non-invasive physiological method known to decrease cerebral blood flow. This technique was used to study the brain’s response to altered cerebrovascular hemodynamics and showed that, on average, brain stiffness decreases by 2.28% in response to ten minutes of LBNP application and decreased cerebral blood flow. By decreasing and increasing cerebral blood flow by turning the LBNP on and off repeatedly in 10-minute blocks, brain stiffness was shown to increase by 3.02% on average from the initial application of LBNP to the final application of LBNP.

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Feasibility evaluation of virtual elastography based on diffusion-weighted imaging (vMRE) at 1.5 Tesla
Alicia Palomar Garcia1, Valentin H. Prevost2, Alba Iruela Sanchez1, Wolter de Graaf3, and Bruno Triaire2

1Canon Medical Systems Spain and Portugal, Barcelona, Spain, 2Canon Medical Systems Corporation, Tochigi, Japan, 3Canon Medical Systems Europe, Zoetermeer, Netherlands

This study evaluated the feasibility of performing virtual elastography based on diffusion-weighted MRI (vMRE) on a 1.5T system with two different acceleration methods, SPEEDER and EXSPER. Proton density fat fraction (PDFF) imaging was also acquired. The vMRE and PDFF measurements were consistent with healthy values that can be found in the literature. This study demonstrated the feasibility of performing vMRE at 1.5T for the estimation of overall liver elasticity. SPEEDER and EXSPER vMRE implementations provided consistent stiffness estimations and both would be adequate for conducting future studies at 1.5T systems on patients.


Susceptibility I

Exhibition Hall:S8 & S9
Wednesday 16:45 - 17:45
Contrast Mechanisms
Module : Module 16: Diffusion

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Simultaneous Multi-Slice Acceleration of Multi-Echo EPI Provides Rapid and Accurate Quantitative Susceptibility Mapping
Oliver C. Kiersnowski1, Patrick Fuchs1, Stephen J. Wastling2,3, John S. Thornton2,3, and Karin Shmueli1

1Department of Medical Physics & Biomedical Engineering, University College London, London, United Kingdom, 2UCL Queen Square Institute of Neurology, University College London, London, United Kingdom, 3Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, London, United Kingdom

Simultaneous multi-slice (SMS) acquisition is increasingly used to accelerate echo planar imaging (EPI). EPI acquisitions have been used for quantitative susceptibility mapping (QSM) but, to utilise SMS, an investigation into the effect of SMS on EPI-QSM accuracy is necessary. Here, we show that SMS has no significant effect on magnetic susceptibility maps and values, and can, therefore, provide accurate QSM within a short TR. We also show, for the first time, that multi-echo phase images can be acquired using an EPI sequence (highly) accelerated using SMS and parallel imaging, leading to more accurate QSM reconstruction compared to standard single-echo EPI. 

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Isotropic QSM in seconds using super-resolution 2D EPI imaging in 3 orthogonal planes
Beata Bachrata1,2, Steffen Bollmann3,4,5, Günther Grabner1,6,7, Siegfried Trattnig1,2, and Simon Daniel Robinson1,3,8

1High Field Magnetic Resonance Centre, Department of Biomedical Imaging and Image-guided Therapy, Medical University Of Vienna, Vienna, Austria, 2Karl Landsteiner Institute for Clinical Molecular MR in Musculoskeletal Imaging, Vienna, Austria, 3Centre of Advanced Imaging, University of Queensland, Brisbane, Australia, 4University of Queensland, Centre for Innovation in Biomedical Imaging Technology, Brisbane, Australia, 5School of Information Technology and Electrical Engineering, University of Queensland, Brisbane, Australia, 6Department of Medical Engineering, Carinthia University of Applied Sciences, Klagenfurt, Austria, 7Department of Neurology, Medical University Of Vienna, Vienna, Austria, 8Department of Neurology, Medical University of Graz, Graz, Austria

We propose a method to generate a super-resolution QSM from three orthogonal 2D EPI acquisitions with anisotropic voxels. Using distortion correction and non-linear co-registration of the individual EPI images with thick slices, a super-resolution EPI image with isotropic voxels was generated and used to compute a QSM. The super-resolution 2D EPI susceptibility maps, as well as the susceptibility values within deep grey matter structures, showed close correspondence to a standard GRE QSM. The net acquisition time was, however, reduced from several minutes to several seconds, allowing QSM in problematic patient cohorts and clinical routine.


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Phase filtering methods significantly impact the quality of susceptibility tensor reconstruction
Jingjia Chen1 and Chunlei Liu1,2

1Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, United States, 2Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, United States

Phase filtering is a very important step in obtaining a good susceptibility tensor. We compare and illustrate the effects of different phase processing methods on the quality of susceptibility tensor reconstruction with different numbers of orientations. In general, tensor reconstructed from variations of the SHARP phase filtering methods show the most robustness against the large field inhomogeneity and produce tensor elements that are spatially and anatomically more consistent. Compared to the original STI reconstruction, asymmetric STI reduces some of the variations induced by phase filtering methods.

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Application of susceptibility source separation (chi-separation) to UK Biobank protocol and clinical protocol using deep neural network
Hwihun Jeong1, Sung Suk Oh2, Jongho Lee1, and Hyeong-Geol Shin1

1Department of Electrical and Computer Engineering, Seoul National University, Seoul, Korea, Republic of, 2Medical Device Development Center, K-MEDI hub, Daegu, Korea, Republic of

We develop pipelines for reconstructing susceptibility source separation (χ-separation) maps, which requires a T2 map, from UK Biobank protocol and routine clinical protocol data that have no T2 map but have various T2-weighted contrasts (e.g., FLAIR and T2-weighted images). Using these and additional contrast-weighted images, we propose a deep neural network framework that generates an R2 (=1/T2) map, with which χ-separation is conducted. The proposed pipelines successfully generated positive and negative susceptibility maps that are highly similar to gold standard results. The results suggest that χ-separation is applicable to various clinical routine protocols and open-source data.


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Realistic brain phantom for Susceptibility Tensor Imaging
Nestor Munoz1,2,3, Carlos Milovic4, and Cristian Tejos1,2,3

1Biomedical Imaging Center, Pontificia Universidad Católica de Chile, Santiago, Chile, 2Department of Electrical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile, 3Nucleo Milenio Cardio MR, Santiago, Chile, 4Department of Medical Physics and Biomedical Engineering, University College, London, United Kingdom

Susceptibility tensor imaging (STI) is a recent MRI technique that is able to quantify anisotropic magnetic susceptibilities in the human tissues. It needs at least 6 acquisitions with different rotation angles to robustly reconstruct each component of a second order tensor. Several methods have been proposed to reconstruct STI, including least squares methods or optimization algorithms. Since there is not a ground truth, it is difficult to evaluate the effectiveness of these algorithms. In this study, we propose a realistic brain human phantom to evaluate and compare different STI reconstruction algorithms.

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Comparison of Quantitative Susceptibility Mapping Methods for Brain Iron Imaging at 7T
Jingwen Yao1, Melanie A. Morrison1, Angela Jakary1, Sivakami Avadiappan1, Yicheng Chen1,2,3, Julia Glueck4, Theresa Driscoll4, Michael Geschwind4, Alexandra Nelson4, Christopher P. Hess1,4, and Janine M. Lupo1,2

1Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 2Graduate Program in Bioengineering, UCSF/UC Berkeley, San Francisco, CA, United States, 3Facebook Inc., Mountain View, CA, United States, 4Department of Neurology, University of California, San Francisco, San Francisco, CA, United States

Quantitative susceptibility mapping (QSM) is a promising tool to investigate iron dysregulation in neurodegenerative diseases. A diverse range of methods has been proposed to generate accurate and robust QSM images. In this study, we evaluated the performance of different dipole inversion algorithms for brain iron imaging at 7T, including iLSQR, iterative methods with regularization (STAR-QSM, FANSI, HD-QSM, MEDI), single-step methods (QSIP, SSTV, SSTGV), and deep learning methods (QSMGAN, QSMnet+). We found that SSTV/SSTGV provided the best performance in terms of correlation with age, correlation with iron, and the differentiation between healthy control and premanifest Huntington’s disease individuals.

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XSIM, a Susceptibility-Optimised Similarity Index Metric: Validation with 2016 and 2019 QSM Reconstruction Challenge Datasets
Carlos Milovic1,2, Cristian Tejos2,3,4, Pablo Irarrazaval2,3,4,5, and Karin Shmueli1

1Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 2Department of Electrical Engineering, Pontificia Universidad Catolica de Chile, Santiago, Chile, 3Biomedical Imaging Center, Pontificia Universidad Catolica de Chile, Santiago, Chile, 4Millennium Nucleus for Cardiovascular Magnetic Resonance, Santiago, Chile, 5Institute for Biological and Medical Engineering, Pontificia Universidad Catolica de Chile, Santiago, Chile

The Structural Similarity Index (SSIM) has become a popular quality metric to evaluate Quantitative Susceptibility Mapping (QSM) in a way that is closer to human perception than the Root-Mean-Squared-Error (RMSE). However, SSIM may over-penalize errors in diamagnetic tissues and under-penalize them in paramagnetic tissues. Extreme susceptibility artifacts may also compress the dynamic-range, resulting in unrealistically high SSIM scores (hacking). To overcome these problems we propose XSIM: SSIM implemented in the native QSM ppm range with new susceptibility-optimized internal parameters. We validated XSIM using data from both QSM challenges. XSIM avoids bias and metric-hacking, promoting sharp susceptibility maps and preventing over-regularization.

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Brain Health in Preterm Infants: Cerebral Metabolic Rate of Oxygen (CMRO2) Using Advanced MRI
Chen Shuang Zhu1,2, Alexander Mark Weber1,2,3, Ruth E Grunau1,3,4, and Natalie Chan1,3,4

1Institute of Research, BC Children’s Hospital, Vancouver, BC, Canada, 2School of Biomedical Engineering, University of British Columbia, Vancouver, BC, Canada, 3Department of Pediatrics, University of British Columbia, Vancouver, BC, Canada, 4Division of Neonatology, BC Women’s Hospital, Vancouver, BC, Canada

Cerebral metabolic rate of oxygen (CMRO2) is a measurement of oxygen metabolism that may help determine outcomes in preterm neonates and improve treatments. However, limitations exist in current methods for measuring CMRO2. Advanced MRI techniques such as quantitative susceptibility mapping (QSM) may be able to overcome these challenges. GE 3T MRI data of preterm neonates at term equivalent age (TEA) (n=9) was obtained and analyzed using a standard equation to determine the CMRO2. CMRO2 values agreed with literature values and correlated strongly with birth age, but not with birth weight or head circumference at birth.

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The effect of echo train length and TE range on multi-echo quantitative susceptibility mapping.
Antonio Ricciardi1, Anita Karsa2, Carmen Tur1,3, Alberto Calvi1, Sara Collorone1, Francesco Grussu1,4, Marco Battiston1, Rebecca S Samson1, Marios Yannakas1, Jon Stutters1, Baris Kanber1,5, Ferran Prados1,5,6, Karin Shmueli2, and Claudia AM Gandini Wheeler-Kingshott1,7,8

1NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom, 2Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 3Multiple Sclerosis Centre of Catalonia (Cemcat), Vall d’Hebron Institute of Research, Vall d’Hebron Hospital Campus, Barcelona, Spain, 4Radiomics Group, Vall d’Hebron Institute of Oncology, Vall d’Hebron Hospital Campus, Barcelona, Spain, 5Centre for Medical Image Computing (CMIC), Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 6Universitat Oberta de Catalunya, Barcelona, Spain, 7Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy, 8Brain Connectivity Centre, IRCCS Mondino Foundation, Pavia, Italy

Quantitative susceptibility mapping (QSM) from multi-echo acquisitions provides more accurate results than single echo, but the optimal choice of echo train length and echo time (TE) range requires investigation. In this work, we showed that QSM values depend on the TE range sampled, so QSM data computed over different TE ranges should not be mixed. Dropping later echoes might help resolve echo-to-echo phase inconsistency artifacts, at the expense of QSM accuracy. Finally, in multi-centre studies using data acquired with different TE settings, covering the same total TE range is preferable to simply matching the number of echoes.


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COSMOS-Based Susceptibility Estimations: Accuracy Assessment and Comparisons of QSM and Multiple-Angle Acquisitions
Dimitrios G. Gkotsoulias1, Roland Müller 1, Torsten Schlumm1, Niklas Alsleben1, Carsten Jäger1, Jennifer Jaffe2,3, André Pampel1, Catherine Crockford2,3, Roman Wittig2,3, and Harald Möller1

1Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 2Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany, 3Tai Chimpanzee Project, Centre Suisse de Recherches Scientifiques en Cote d'Ivoire, Abidjan, Cote D'ivoire

Calculation Of Susceptibility through Multiple Orientation Sampling (COSMOS) is assessed comparing the optimal, a clinically feasible and multiple-orientation schemes. The optimal COSMOS estimation is used as a gold standard and is compared to the other schemes using the similarity index (SSIM), mean absolute error (MAE) and Pearson’s coefficient (PC). Further comparisons include Thresholded K-space Division (TKD) quantitative susceptibility mapping. For selected white-matter regions, linear regression is used to assess the similarities between the different estimations.

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QSM with Implicit Regularisation Using Non-Uniform Fourier Transformation
Patrick Fuchs1 and Karin Shmueli1

1Medical Physics and Biomedical Engineering, University College London, London, United Kingdom

Direct solutions of the dipole inversion problem in quantitative susceptibility mapping (QSM) are computationally efficient but plagued by streaking artifacts. Here, we have shown that non-uniform sampling of frequency space can achieve additional streaking artifact reduction compared to QSM with thresholded k-space division and state-of-the-art regularisation. By avoiding sampling areas in frequency space where the solution is not well defined, the solution of the ill-posed inverse problem is made more robust and noise amplification is reduced. This approach could be combined with compressed sensing techniques to further improve the QSM reconstruction. This research uses open-source tools from the MR community.


Susceptibility II

Exhibition Hall:S8 & S9
Wednesday 17:45 - 18:45
Contrast Mechanisms
Module : Module 16: Diffusion

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Diffusion metrics in human white matter depend on fiber orientation
Lara Bartels1,2,3, Jonathan Doucette1,2,3, Christoph Birkl2,4, Alexander M. Weber2,3, and Alexander Rauscher1,2,3,5,6

1Physics & Astronomy, University of British Columbia, Vancouver, BC, Canada, 2MRI Research Centre, University of British Columbia, Vancouver, BC, Canada, 3Department of Pediatrics, University of British Columbia, Vancouver, BC, Canada, 4Department of Neuroradiology, Medical University of Innsbruck, Innsbruck, Austria, 5Department of Radiology, University of British Columbia, Vancouver, BC, Canada, 6Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada

In this work we studied the orientation dependence of diffusivities measured in DTI of healthy human white matter in vivo. The observed orientation dependence of the mean diffusivity can be explained by the effects of diffusion-mediated dephasing in the presence of diamagnetic myelin. Orientation dependence was markedly different for the radial and axial components of the diffusivity and suggests the presence of residual dipole-dipole interaction between water molecules. 

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Detection of Iron Oxide Nanoparticles (IONPs)-Labeled Stem Cells Using Quantitative UTE Imaging
Jiyo S Athertya1, Johnny Akers2, Sophia Dwek1, Zhao Wei1, Jiang Du1, Eric Y Chang1,3, Mya Thu2, and Hyungseok Jang1

1Radiology, University of California San Diego, San Diego, CA, United States, 2VisiCELL Medical Inc, San Diego, CA, United States, 3Radiology Service, VA San Diego Healthcare System, San Diego, CA, United States

Non-invasive, clinically applicable tracking of therapeutic cells by magnetic resonance imaging (MRI) offers unparalleled insight into the safety and efficacy of cell-based therapies in the body. Here we used a series of 3D quantitative UTE techniques including UTE-QSM, UTE-T1, and UTE-T2* mapping to evaluate the MR characteristics of stem cells labeled with a proprietary nanoparticle formulation that simultaneously labels cells for both optical and MR imaging. In a phantom experiment, all quantitative UTE parameters showed strong correlation with concentrations of labeled stem cells. Interestingly, in ex vivo mouse imaging, only UTE-QSM and UTE-T2* mapping detected the injected, labeled stem cells.

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The Larmor Frequency of a White Matter Magnetic Microstructure Model with Multiple Sources
Anders Dyhr Sandgaard1, Valerij G. Kiselev2, Noam Shemesh3, and Sune Nørhøj Jespersen1,4

1Department of Clinical Medicine, Center for Functionally Integrative Neuroscience, Aarhus University, Aarhus, Denmark, 2Medical Physics, Department of Radiology, Faculty of Medicine, University of Freiburg, Freiburg, Germany, 3Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal, 4Department of Physics and Astronomy, Aarhus University, Aarhus, Denmark

Mapping tissue magnetic properties with MRI may improve the diagnosis of diseases and enhance our understanding of their basic mechanisms. However, MRI signals are sensitive to both structure and magnetic susceptibility, the so-called “magnetic microstructure”, rendering accurate susceptibility estimation a great challenge. Here, we present an analytical expression for the Larmor frequency of a white matter model of myelinated axons with axially symmetric microscopic susceptibility anisotropy and orientation dispersion. The modelled axons are surrounded by microscopic spherical inclusions with a scalar susceptibility. This goes beyond previous models of white matter magnetic microstructure.

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The impact of head orientation with respect to B0: An unexplored source of variance in diffusion MRI
Elena Kleban1,2, Derek K Jones1,3, and Chantal MW Tax1,4

1CUBRIC, Cardiff University, Cardiff, United Kingdom, 2Inselspital, Bern University, Bern, Switzerland, 3Australian Catholic University, Melbourne, Australia, 4UMC Utrecht, Utrecht University, Utrecht, Netherlands

Recently observed anisotropy of compartmental white matter T2-values as a function of tissue orientation w.r.t. B0 in combination with echo-time-dependence of diffusion MRI signals suggest that similar tissue-orientational effects could be expected in standard diffusion tensor measures. In this work we show the change of up to 20-30% in diffusion tensor measures as a function of fibre orientation w.r.t. B0 from in vivo experiments and support these observations by simplified two-compartment white matter signal simulations.

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Multi-Spectral Susceptibility-Weighted Imaging in the Presence of Metallic Hardware
Kevin Koch1, Brad Swearningen1, and Andrew S Nencka1

1Radiology, Medical College of Wisconsin, Milwaukee, WI, United States

To address the unmet need for metal artifact suppressed susceptibility-weighted imaging (SWI) in neuroradiology, here we introduce a novel approach to the generation of SWI contrasts using conventional (currently available) 3D-multi-spectral imaging (MSI) metal-artifact-suppression sequences.   This approach leverages basic spin-echo based 3D-MSI sequences, and then utilizes the inherent spectral information within MSI to develop "phase-contrast" maps that can then used to generate SWI-like contrasts.  This new metal-suppressed SWI approach has potential applications in patients with high susceptibility intra-cranial hardware, such as aneurysm clips, vascular shunts, cochlear implants, and fixed dental/orthodontic hardware.    

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Nonlinear multi-echo dipole inversion
Christian Kames1,2, Jonathan Doucette1,2, and Alexander Rauscher1,2,3

1UBC MRI Research Centre, University of British Columbia, Vancouver, BC, Canada, 2Department of Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada, 3Department of Pediatrics, University of British Columbia, Vancouver, BC, Canada

We propose a two-pass multi-echo nonlinear dipole inversion method. In the first pass an initial susceptibility map is obtained. The susceptibility map is then further processed by deconvolving the residual of the forward computed phase and the input phase to recover remnant low frequency susceptibility sources. The proposed method attains a NRMSE of 18.8 on the QSM Reconstruction Challenge 2.0 calcification dataset (Sim2Snr1), decisively outperforming the best scoring submissions of the challenge (NRMSE 26.3, 28.3, 28.5).

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A New, Simple Two-Pass Masking Approach for Streaking Artifact Removal in Any QSM Pipeline
Anita Karsa1 and Karin Shmueli1

1Medical Physics and Biomedical Engineering, University College London, London, United Kingdom

Tissue magnetic susceptibility maps calculated using any Quantitative Susceptibility Mapping (QSM) pipeline are often corrupted by streaking artifacts. Large streaking artifacts originating from extreme-susceptibility regions, such as interhemispheric calcifications or intracerebral bleeds, are common, not only in patients, but also in healthy, elderly subjects. Several variations on the two-pass masking approach have been proposed previously to suppress these artifacts. Here we propose a broadly-applicable two-pass masking method that is easy to implement and integrate into any QSM pipeline. We show that two-pass masking greatly reduces streaking from calcifications and cerebral bleeds without affecting susceptibility map anatomical features and values.

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A Comparison of Background Field Removal and “Single-Step” Algorithms in Realistic Phantoms: Towards QSM Challenge 3.0?
Carlos Milovic1, Christian Langkammer2, José Pedro Marques3, and Karin Shmueli1

1Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 2Department of Neurology, Medical University of Graz, Graz, Austria, 3Donders Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, Netherlands

The 2019 QSM Reconstruction Challenge compared how different algorithms reconstructed QSM from true local field maps. However, this neglects the importance of residual background fields, and how they degrade the solutions. Here, we used a realistic “total field” simulation to compare three different background field removal methods, and to estimate the susceptibility maps resulting from three state-of-the-art QSM algorithms. We also compared the performance of two single-step algorithms, that use the total field map as an input. Our results showed that the two-step Weak-Harmonic QSM method is robust against residual fields and achieved the lowest error scores, outperforming single-step methods.

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Chi-sepnet: Susceptibility source separation using deep neural network
Minjun Kim1, Hyeong-Geol Shin1, Chungseok Oh1, Hwihun Jeong1, Sooyeon Ji1, Hongjun An1, Jiye Kim1, Jinhee Jang2, Berkin Bilgic3, and Jongho Lee1

1Seoul National University, Seoul, Korea, Republic of, 2Seoul St Mary’s Hospital, Seoul, Korea, Republic of, 3Harvard Medical School, Boston, MA, United States

 The separation of positive and negative susceptibility source distributions (e.g., iron and myelin distributions) has important meanings in neuroscience and clinic. In this study, a deep learning-based χ-separation method is proposed to generate high-quality susceptibility source maps. For network training, multi-orientation head data are utilized, providing artifact-free label data. For the input data, either R2’ or R2* maps are utilized in addition to local field and QSM maps, producing two neural networks, χ-sepnet-R2’ and χ-sepnet-R2* (the latter requires no T2). The results of χ-sepnets outperformed the conventional method, revealing details of brain structures both in healthy volunteers and patients.


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QALAS + QSM: Efficient Multi-parameter Mapping Allows Disentangling Para- and Dia-magnetic Contributions in Brain Tissue
Hyeong-Geol Shin1, Jingjia Chen2, Jongho Lee1, Tae Hyung Kim3, Jaejin Cho3, Gabriel Varela-Mattatall3, Borjan Gagoski4, Chunlei Liu2, and Berkin Bilgic3

1Department of Electrical and Computer Engineering, Seoul National University, Seoul, Korea, Republic of, 2Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, United States, 3Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 4Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, Boston, MA, United States

Quantitative MRI has demonstrated potential in clinical and neuroscience applications, but its adoption has been hampered by excessively long scan times. Recent biophysical models have enabled differentiation of para- and dia-magnetic contributions to the tissue, but the acquisition of multi-parametric maps required by such models have further increased the encoding burden. We propose a comprehensive 9.5 min exam at high isotropic resolution to address this, from which T1, T2, proton density, T2*, para- and dia-magnetic susceptibility maps are estimated. This exam flexibly lends itself to generation of contrast-weighted images, allowing it to be used for clinical reads as well.



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On the water–fat in-phase assumption for quantitative susceptibility mapping (QSM)
Christof Boehm1, Jakob Meineke2, Kilian Weiss3, Marcus R Makowski1, and Dimitrios C Karampinos1

1Department of Diagnostic and Interventional Radiology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany, 2Philips Research, Hamburg, Germany, 3Philips GmbH Market DACH, Hamburg, Germany

Gradient echo imaging using in-phase echoes has been proposed to reduce the field-map estimation in water–fat regions to a convex nonlinear least squares problem. Conventionally, the in-phase assumption is based on a single-peak fat-model. However, fat is known to have a complex spectrum rendering the definition of in-phase echo times problematic. In this work, the single-fat-peak in-phase assumption is replaced by a multi-peak effective in-phase assumption. QSM based on multi-peak in-phase echo times is shown to yield similar results to water–fat imaging based field- and susceptibility-mapping in a simulation and in vivo in the spine and the breast.

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A Proximal Step Enables Fast and Accurate Single-Step QSM Reconstructions, Preventing Susceptibility Underestimation
Carlos Milovic1, Kristian Bredies2, Christian Langkammer3, and Karin Shmueli4

1University College London, London, United Kingdom, 2Institute of Mathematics and Scientific Computing, University of Graz, Graz, Austria, 3Department of Neurology, Medical University of Graz, Graz, Austria, 4Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom

Single-step quantitative susceptibility mapping (QSM) algorithms simplify the processing pipeline and promise to be more robust against background fields than traditional two-step methods but they often underestimate tissue susceptibilities. Here, we propose a highly efficient gradient descent Tikhonov-regularized proximal solver and a highly accurate ADMM TV-regularized proximal solver to improve the accuracy of two Laplacian-based single-step methods. Our solvers outperformed current single-step methods and showed in-vivo performance very similar to traditional two-step methods. This will simplify QSM processing pipelines, allowing further automation in future, although more research is needed to improve robustness against noise and boundary-conditions-related artifacts.

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Quiet quantitative susceptibility mapping with Looping Star
Nikou Louise Damestani1, Ana Beatriz Solana2, Florian Wiesinger2, Brice Fernandez3, Steven Charles Rees Williams1, and David John Lythgoe1

1Department of Neuroimaging, King's College London, London, United Kingdom, 2GE Healthcare, Munich, Germany, 3GE Healthcare, Paris, France

Looping Star is an acoustically quiet T2*-weighted acquisition technique, which has primarily been used to demonstrate functional sensitivity. We present the application of Looping Star to quantitative susceptibility mapping in a small cohort, directly comparing its outcomes with a conventional susceptibility-weighted imaging technique. We found that Looping Star produced comparable quantitative values in subcortical regions in comparison with conventional susceptibility-weighted imaging.


Spectroscopy I

Exhibition Hall:S8 & S9
Thursday 9:15 - 10:15
Contrast Mechanisms
Module : Module 7: Spectroscopy & Hyperpolarization

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Macromolecular background signals for gray and white matter regions in the human brain as defined from strong diffusion-weighted MR spectroscopy
Kadir Simsek1,2, André Döring3, André Pampel4, Harald E. Möller4, and Roland Kreis1,2

1Magnetic Resonance Methodology, Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Bern, Switzerland, 2Translational Imaging Center, sitem-insel, Bern, Switzerland, 3Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, United Kingdom, 4Max-Planck Institution for Human Cognitive and Brain Sciences, Leipzig, Germany

Diffusion-weighted MRS was successfully implemented at short TE, reaching ultra-high b values >20 ms/μm2 on a 3T Siemens Connectom system. With simultaneous fitting for different b-value spectra, macromolecular background patterns are estimated using different approaches to model metabolite diffusion and different macromolecular signal parameterization in gray matter and white matter. 

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B1+ Correction for 7T FID-CRT-MRSI
Philipp Lazen1, Bernhard Strasser1, Cornelius Cadrien1,2, Sukrit Sharma1, Lukas Hingerl1, Eva Niess1, Stanislav Motyka1, Alexandra Lipka1, Benjamin Spurny-Dworak3, Christoph Brandner4, Stephan Gruber1, Wolfgang Bogner1, Rupert Lanzenberger3, Karl Rössler2, Siegfried Trattnig1,5, and Gilbert Hangel1,2

1Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria, 2Department of Neurosurgery, Medical University of Vienna, Vienna, Austria, 3Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria, 4Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria, 5Institute for Clinical Molecular MRI, Karl Landsteiner Society, St. Poelten, Austria

We implemented B1+ correction for our metabolite concentration estimation and analyzed the influence of B1+ inhomogeneities. Since the B1field is relatively homogeneous in the center of the brain anyways, the biggest effects were observed closer to the fringes of the brain. The concentration estimates increased between 1.0% and 5.6% for different metabolites when comparing B1+ correction to simple T1 correction, remaining within the spectrum of values established by previous literature.



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Measuring the macromolecular baseline in the neonatal brain
Maria Yanez Lopez1, Georg Oeltzschner2, Anthony N Price1, Nicolaas AJ Puts3, Emer J Hughes1, Grainne M McAlonan3, Tomoki Arichi1, Richard AE Edden2, and Enrico De Vita4

1Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom, 2Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom, 4Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, UK, London, United Kingdom

The doublet nature of the 3 ppm peak previously reported in neonates indicates that a lower macromolecular contribution to the GABA+ 3 ppm signal is likely to be present in this population. Detailed characterisation of age‐related MM contribution rates is required to improve the MRS fitting process, and therefore, to further increase the accuracy of metabolic measurements in neonates. As a first step, we here measure the macromolecular baseline using metabolite-nulling MRS in healthy term neonatal participants.


2536
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Reducing Artifacts in Readout-Segmented Spectroscopic Imaging at 7T
Amir Seginer1, Graeme A. Keith2, David A. Porter2, and Rita Schmidt3

1Siemens Healthcare Ltd, Rosh Ha'ayin, Israel, 2Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, Scotland, 3Department of Brain Sciences, Weizmann Institute of Science, Rehovot, Israel

Readout-Segmented COKE (RS-COKE) is an Echo Planar Spectroscopic Imaging (EPSI) variant supporting larger spectral-widths and is therefore useful for spectral imaging at 7T. However, mismatches between the segments at the overlaps lead to artifacts, especially if the lipids signal is not suppressed (to avoid adversely affecting the metabolites signal). We developed a procedure to measure and reduce the readout segment mismatches – through signal and trajectory corrections – leading to improved spectral images and spectra. The procedure was tested by scanning both a special 3D head-shaped phantom – which includes a lipid layer – and human volunteers.

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GABA and Glutamate response to social processing; a functional MRS study
Duanghathai Pasanta1,2, David J. White3, Jason L. He1, Nicolaas A. Puts1,4, and Talitha Ford3,5

1Department of Forensic and Neurodevelopmental Sciences, Sackler Institute for Translational Neurodevelopment, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom, 2Department of Radiologic Technology, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai, Thailand, 3Centre for Human Psychopharmacology & Swinburne Neuroimaging, School of Health Sciences, Swinburne University of Technology, Melbourne, Australia, 4MRC Centre for Neurodevelopmental Disorders, King’s College London, London, United Kingdom, 5Cognitive Neuroscience Unit, Faculty of Health, Deakin University, Geelong, Australia

We performed functional magnetic resonance spectroscopy (fMRS) to measure the dynamic response of GABA and Glutamate in the superior temporal sulcus (STS) and visual cortex (V1) while viewing social stimuli. MEGA-PRESS fMRS spectra were analyzed in both block and event-related design. Sliding window analyses were used to investigate GABA and Glutamate dynamics at higher temporal resolution. A small decrease in GABA level was observed during stimulus presentation in V1, but no change was observed in STS. We highlight the feasibility of using fMRS to assess changes in metabolite response during social processing in health and disease.

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Does Magnetic Resonance Spectroscopy Show Changes in Brain Metabolites At 3-Months Post Concussion in Pediatric Patients?
Robyn Walker1, Parker La2, Tiffany Bell 2, Julie M Joyce 2, Miriam Beauchamp3,4, William Craig5,6, Quynh Doan 7,8, Roger Zemek9,10, Keith Yeates 11, and Ashley Harris2

1University of Calgary, Calgary, AB, Canada, 2Radiology, University of Calgary, Calgary, AB, Canada, 3Psychology, University of Montreal, Montreal, QC, Canada, 4Psychology, Ste Justine Hospital, Montreal, QC, Canada, 5Pediatrics, University of Alberta, Edmonton, AB, Canada, 6Pediatrics, Stollery Children's Hospital, Edmonton, AB, Canada, 7Pediatrics, University of British Columbia, Vancouver, BC, Canada, 8Pediatrics, BC Children's Hospital, Vancouver, AB, Canada, 9Pediatrics and Emergency Medicine, University of Ottawa, Ottawa, ON, Canada, 10Pediatrics and Emergency Medicine, Children's Hospital of Eastern Ontario, Ottawa, ON, Canada, 11Psychology, University of Calgary, Calgary, AB, Canada

This study uses 1H magnetic resonance spectroscopy (MRS) to determine metabolite differences in the chronic phase (~3-month) of pediatric concussion compared to orthopedic injury (OI) controls. In the first analysis, significant differences in N-acetylaspartate (NAA), choline (Cho) and inositol (Ins) were seen between concussion and OI controls. Secondly, in a series of 3-way ANCOVAs across OI, symptomatic and asymptomatic concussion groups showed group differences in NAA, Cho and Ins depending on the symptom scale. When metabolites were different in this analysis by symptoms, it was generally driven by the asymptomatic group. 

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Suppression of extracranial lipids in short TE STEAM of the human brain at 7T with an external crusher coil
Evita Wiegers1, Alex Bhogal1, Sarah Jacobs1, Mark Gosselink1, Jeanine Prompers1, and Dennis Klomp1

1Radiology, University Medical Center Utrecht, Utrecht, Netherlands

Short TE STEAM is an appealing MRS sequence especially for the quantification of low-concentration J-coupled spin systems. However, in comparison to sLASER, STEAM is associated with larger chemical shift displacement errors in all three directions. With an inhomogeneous B1+-field, slice profiles degrade, resulting in artefacts from extracranial lipids. Here we demonstrate that lipid artefacts can be removed through the use of an external crusher coil. Without use of the crusher coil, large extracranial lipid artefacts are present when selecting a large voxel. Upon activation of the crusher coil, these signals are eliminated, yielding 1H spectra free of large baseline distortions.

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Time-efficient and reproducible relaxation measurements by 31P-MR fingerprinting in human brain at 7T
Mark Stephan Widmaier1,2, Song-I Lim1,2, and Lijing Xin1,3

1CIBM Center for Biomedical Imaging, Lausanne, Switzerland, 2Laboratory for Functional and Metabolic Imaging, EPFL, Lausanne, Switzerland, 3Animal Imaging and Technology, EPFL, Lausanne, Switzerland

In this abstract, we report the reproducibility of the new 31P-MRF technique on healthy volunteers. We show that relaxation and concentration rates can be estimated fast and accurate in good agreement with state-of-the-art methods in the human brain and in phantoms at 7T. This novel efficient technique is able to achieve a 5-fold acquisition time reduction of 31P relaxation parameter measurements, using only 6 min scan time.


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Denoising MR spectra by deep learning: miracle or mirage?
Martyna Dziadosz1,2, Rudy Rizzo1,2, Sreenath P Kyathanahally3, and Roland Kreis1,2

1Magnetic Resonance Methodology, Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Bern, Switzerland, 2Translational Imaging Center, sitem-insel, Bern, Switzerland, 3Department Systems Analysis, Integrated Assessment and Modelling, Data Science for Environmental Research group, Dübendorf, Switzerland

The main limitation of MRS is low SNR. Several approaches for denoising have been proposed. However, it is debatable, whether denoising can reduce estimate uncertainties. In this work, we investigate denoising using deep learning (DL) in time-frequency representations. The results were assessed using two methods: first, an adjusted noise score was used and second, the outcome of traditional fitting was evaluated. We found that time-frequency domain denoising through DL produces a visually appealing spectrum but mean residuals for the relevant spectral regions and variance in fit results remained as high as without denoising.  

2542
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Measurement of gastric emptying with dynamic 3D DMI using a deuterium body array at 7 T
Ayhan Gursan1, Arjan D. Hendriks1, Dimitri Welting1, Dennis W.J. Klomp1, and Jeanine J. Prompers1

1Department of Radiology, University Medical Center Utrecht, Utrecht, Netherlands

Gastric emptying abnormalities are frequently observed in diabetes patients. Here we explored whether dynamic 3D DMI could be a radiation-free alternative for scintigraphy to measure the gastric emptying rate. One volunteer was scanned after oral intake of deuterated glucose and proximal and distal gastric emptying was monitored. The distribution of the glucose load in the proximal and distal parts of the stomach and the rate of gastric emptying agreed well with scintigraphy results. DMI has potential to investigate gastric emptying abnormalities in patients with diabetes, while at the same time providing information on glucose uptake and metabolism in the liver.

2543
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Frequency and Phase Drift Correction of Rosette MRSI Data using Spectral Registration
Sneha Vaishali Senthil1,2, Brenden Toshihide Kadota 2, and Jamie Near2,3

1Integrated Program in Neuroscience, McGill University, Montreal, QC, Canada, 2Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada, 3Medical Biophysics Department, Sunnybrook Research Institute, Toronto, ON, Canada

MRSI is a non-invasive in-vivo technique for mapping tissue concentrations in clinical and neuro-scientific research. Although, in vivo MRSI has made progress with respect to spatial resolution, acquisition time and the number of detectable metabolites; frequency and phase drifts in the acquired data are still a persisting problem, resulting in SNR losses, broadening of spectral peaks and deformities in line spectra of metabolites. In this abstract, we show how rosette MRSI sampling trajectories offer the possibility to perform frequency and phase drift correction which is otherwise not possible to do in most other commonly used cartesian and non-cartesian sampling trajectories.

2544
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Versatile Open source B0 shimtool
Mahrshi Jani1,2, Shengyue Su1, Manoj Kumar Sarma1, Ariane Fillmer3, and Anke Henning1,4

1Advance Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, United States, 2Department of Bioengineering, University of Texas at Arlington, Arlington, TX, United States, 3Medical Metrology, Physikalisch Technische Bundesanstalt, Berlin, Germany, 4Max Planck Institute for Biological Cybernetics, Tuebingen, Germany

In this work, we compare the spectroscopy results and metabolite maps for different shimming routine. We use vendor default shimming technique and our own shimming technique. We tried to do shimming in different regions of brain (i.e. prefrontal cortex, occipital, and insula), also we tried to do multivoxel shimming. We compared the frequency shift maps between vendor’s implemented shim routine and our own shim algorithm. Also, we compared metabolite maps we got from different shimmed region after shimming using vendors and our own shimming routine.


Relaxometry

Exhibition Hall:S8 & S9
Thursday 9:15 - 10:15
Contrast Mechanisms
Module : Module 23: MR Contrasts

2851
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The CALIPR framework comprehensively improves acquisition, reconstruction & analysis of multi-component relaxation imaging
Adam V. Dvorak1,2, Dushyant Kumar3, Guillaume Gilbert4, Cornelia Laule1,2,5,6, G.R. Wayne Moore2,6, Alex L. MacKay1,5,7, and Shannon H. Kolind1,2,5,8

1Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada, 2International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, BC, Canada, 3Radiology, University of Pennsylvania, Philadelphia, PA, United States, 4MR Clinical Science, Philips Canada, Mississauga, ON, Canada, 5Radiology, University of British Columbia, Vancouver, BC, Canada, 6Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada, 7UBC MRI Research Centre, University of British Columbia, Vancouver, BC, Canada, 8Medicine (Neurology), University of British Columbia, Vancouver, BC, Canada

We introduce the CALIPR framework, applied here to multi-component T2 relaxation myelin water imaging (MWI) to achieve a simultaneous increase in data quality and decrease in acquisition time. CALIPR showed robust results for data acquired with aggressive under sampling acceleration, strong agreement with a newly developed “gold-standard” reference MWI acquisition, excellent scan-rescan repeatability, and the ability to acquire whole-brain MWI in under 5 minutes.

While this work demonstrates dramatic improvements the CALIPR framework brings to MWI, its utility can be extended to a wide range of both quantitative and qualitative MRI applications across different scanner vendors and field strengths.

2852
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MP2UTE: T1 mapping of short-T2 components
Stefan Sommer1,2,3, Tom Hilbert3,4,5, Tobias Kober3,4,5, Natalie Hinterholzer2, Daniel Nanz2,6, and Constantin von Deuster1,2,3

1Siemens Healthcare AG, Zurich, Switzerland, 2Swiss Center for Musculoskeletal Imaging (SCMI), Balgrist Campus, Zurich, Switzerland, 3Advanced Clinical Imaging Technology (ACIT), Siemens Healthcare AG, Lausanne, Switzerland, 4Department of Radiology, Lausanne University Hospital (CHUV), Lausanne, Switzerland, 5LTS5, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, 6University of Zurich, Zurich, Switzerland

T1 mapping of species with very fast T2/T2* relaxation is impossible with conventional methods measuring echoes refocused by gradients or radiofrequency pulses. We therefore present a new approach to estimate T1 relaxation times of short-T2 tissue such as bone, tendon, or ligament by sampling transversal magnetization at different inversion times with a short-T2 sensitive ultra-short-TE readout. The presented T1 mapping method is efficient and B1-insensitive. By acquiring multiple echoes, it is possible to obtain T1 relaxation times at short and long echo-time and therefore assess the influence of short-T2 components.

2853
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Application of a two-pool model of water exchange to myelin water fraction in multiple sclerosis spinal cord
Sharada Balaji1, Irene M. Vavasour2,3, Adam Dvorak1, Poljanka Johnson4, Alex MacKay1,2, and Shannon H. Kolind1,2,3,4

1Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada, 2Radiology, University of British Columbia, Vancouver, BC, Canada, 3International Collaboration on Repair Discoveries, Vancouver, BC, Canada, 4Medicine, University of British Columbia, Vancouver, BC, Canada

Myelin water fraction (MWF) quantifies myelin content in the central nervous system. MWF analysis typically assumes there is no water exchange between different water pools in tissue during the measurement. Here we investigate the effect of incorporating a two-pool model of exchange in a study of MWF in multiple sclerosis (MS) spinal cord and compare with results from the original algorithm. Including exchange resulted in higher MWF values and myelin water residence times that were correlated with MWF, but maintained the expected relationship in MWF between MS subtypes and controls.

2854
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Fat-water separated T1 mapping with multi-echo MP2RAGE
Marc-Antoine Fortin1,2, Véronique Fortier1,3, Jorge Campos Pazmino1, Andre van der Kouwe4, and Ives Roger Levesque1,5

1Medical Physics Unit, McGill University, Montreal, QC, Canada, 2Physics, NTNU, Trondheim, Norway, 3Medical Imaging, McGill University Health Centre, Montreal, QC, Canada, 4Athinoula A. Martinos Center for Biomedical Imaging, Havard Medical School, Boston, MA, United States, 5Research Institute of the McGill University Health Centre, Montreal, QC, Canada

To design a novel fat-water separated T1 mapping technique from a multi echo (ME) version of the Magnetization Prepared Two Rapid Acquisition of Gradient Echoes (MP2RAGE) sequence by adapting the MP2RAGE sequence to shorter T1 values resembling values observed for fat (between 200 and 800 ms) and introducing a 3-point Dixon fat-water separation step in the analysis.


2855
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An initial multi-parametric imaging experience of MULTIPLEX at 5T whole body system
Yongquan Ye1, Xiaodi Liu2, Ying Wu2, Zhongqi Zhang1, and Jian Xu1

1UIH America, Inc., Houston, TX, United States, 2United Imaging Healthcare, Shanghai, China

In this work, we evaluated the performance of a recently proposed high resolution multi-parametric method, i.e. MULTIPLEX, on a state-of-the-art 5T whole body scanner. Comparing to the 3T counterpart, MULTIPLEX on 5T generally offers improved SNR, image quality and imaging efficiency, while maintaining satisfactory performance on B1/T1 mapping.

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Native T1 Mapping Combined With Liver Stiffness Measurement in Identifying Significant Liver Fibrosis in Chronic Hepatitis B Patients
Zhi-Yuan Chen1, Yu-Pin Liu1, and Yunzhu Wu2

1Department of Radiology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou, China, 2MR Scientific Marketing, SIEMENS Healthineers, Shanghai, China

Noninvasive identification of significant liver fibrosis in chronic hepatitis B patients is of great value because it can be an important indication for anti-viral therapy according to EASL guideline. This abstract was to evaluate the diagnostic capability of variable flip angle native T1 mapping combined with liver stiffness measurement (LT1 model) in identifying significant liver fibrosis in chronic hepatitis B patients. The LT1 score had good sensitivity and specificity for identifying significant liver fibrosis in chronic hepatitis B patients, and could provide a reliable basis for clinical diagnosis and treatment.

2857
Computer 98
Quantitative characterization of fibrous tissues in the knee joint using magnetization prepared 3D spiral UTE sequence at 3 T
Petros Martirosian1, Cecilia Zhang2, Martin Schwartz1,3, Thomas Benkert4, and Fritz Schick1

1Section on Experimental Radiology, University Hospital of Tübingen, Tübingen, Germany, 2Department of Diagnostic and Interventional Radiology, University Hospital of Tübingen, Tübingen, Germany, 3Institute of Signal Processing and System Theory, University of Stuttgart, Stuttgart, Germany, 4MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany

Magnetization prepared 3D spiral UTE sequences were developed for T1, T2, T1rho and MTR measurements of fibrous structures. The robustness of the parameter mapping for tendons, ligaments, menisci, cartilage and muscle of the human knee joint was evaluated in a test-retest repeatabilty study. Multiparametric UTE imaging was successfully performed for both test and retest examination. The results of the study demonstrate good repeatability of the applied multiparametric protocol. Parameter maps such as T2 and T1rho show less robustness than T1 and MTR measurements. Especially with small structures as tendons and ligaments, there is the least agreement between scan and rescan.

2858
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SPION relaxivity at low field strengths with hyperpolarized 129Xe
Nicholas Bryden1, Christian T McHugh1, Michele Kelley1, and Rosa T Branca1

1University of North Carolina Chapel Hill, Chapel Hill, NC, United States

We provide superparamagnetic iron oxide longitudinal relaxivity measurements at both high (11.7 T) and low (0.6 – 2.1 mT) magnetic field strengths, for both 1H and hyperpolarized 129Xe nuclei. These measurements show significant increase in relaxivity at low field for both nuclei. We also provide some preliminary in vivo results for hyperpolarized 129Xe that suggest a depolarization mechanism similar to that of SPIONs from the hemoglobin found in whole blood.


2859
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Practical and readily-available relaxometry method
Bruno Madore1, Michael Jerosch-Herold1, Jr-Yuan George Chiou1, Cheng-Chieh Cheng2, Srinivasan Mukundan1, Jeffrey Guenette1, and Georgeta Mihai1

1Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States, 2Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan

Although many methods already exist to map T1, T2 and M0, these often involve special sequences not readily available on clinical scanners and/or may require long scan times. In contrast, the proposed method can run on most scanners, it offers flexible tradeoffs between scan time and image quality, and it generates spatially-aligned parameter maps. Validation was performed in gel phantoms with varying concentrations of contrast agents, and in vivo examples are presented from three neuroradiology patients. Compared to other quantitative mapping methods, the present method is meant to stand out in terms of its practicality and availability.

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Orientation Dependence of Myelin Water Fraction as Measured by MET2
Hannah E. Alderson1,2 and Mark D. Does1,2

1Biomedical Engineering, Vanderbilt University, Nashville, TN, United States, 2Vanderbilt University Institute of Imaging Science, Nashville, TN, United States

This study investigated the orientation dependence of myelin water fraction (MWF) as evaluated with a 3D multiple-spin echo sequence (MSE). MSE and diffusion tensor scans were acquired at 7-T from two excised rat brains at three different orientations with respect to the main magnetic field. Region of interest analysis of the corpus callosum and the internal capsule revealed that there is no clear orientation dependency for MWF in these white matter tracts. This result is also evidenced by the minimal orientational modulation of the T2 spectra for both ROIs across both brains. 


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Field dependence of T2* contrast in human substantia nigra
Malte Brammerloh1,2, Evgeniya Kirilina1,3, Renat Sibgatulin4, Karl-Heinz Herrmann4, Tilo Reinert1,5, Carsten Jäger1,6, Primož Pelicon7, Kerrin J. Pine1, Primož Vavpetič7, Andreas Deistung8, Markus Morawski6, Jürgen R. Reichenbach4, and Nikolaus Weiskopf1,5

1Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 2Leipzig University, Leipzig, Germany, 3Center for Cognitive Neuroscience Berlin, Freie Universität Berlin, Berlin, Germany, 4Medical Physics Group, Institute of Diagnostic and Interventional Radiology, University Hospital Jena, Jena, Germany, 5Felix Bloch Institute for Solid State Physics, Leipzig University, Leipzig, Germany, 6Paul Flechsig Institute of Brain Research, Leipzig University, Leipzig, Germany, 7Department for Low and Medium Energy Physics, Jožef Stefan Institute, Ljubljana, Slovenia, 86University Clinic and Outpatient Clinic for Radiology, University Hospital Halle (Saale), Halle (Saale), Germany

MRI holds high promise to diagnose Parkinson’s disease (PD) at clinical field strength B0. However, it remains unclear which B0 optimizes T2* contrast in substantia nigra, which provides high diagnostic accuracy. We used quantitative MRI at B0=1.5T-9.4T, MR microscopy, and histochemistry to characterize the field dependence of the major contributors to R2* (1/T2*): dopaminergic neurons, ferritin, and myelin. R2* maps were similar at B0=3T-9.4T, and all contributions scaled approximately linearly with B0. Hence, the contrast mechanisms are similar across currently available MRI field strengths in vivo, which informs the design of novel PD biomarkers.


2862
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T2 measured with multiple spin-echo depends on echo spacing as well as orientation
Jonathan Doucette1,2, Manuel Bauer1,3, Lara Bartels1,2, Alexander Jaffray1,2, and Alexander Rauscher1,2,4,5

1UBC MRI Research Centre, Vancouver, BC, Canada, 2Physics & Astronomy, University of British Columbia, Vancouver, BC, Canada, 3Institute for Physical Chemistry, Albert-Ludwigs-University, Freiburg, Germany, 4Radiology, University of British Columbia, Vancouver, BC, Canada, 5Pediatrics, University of British Columbia, Vancouver, BC, Canada

The MRI signal in white matter tissue is composed of constituent signals from two different water pools: intra/extracellular water and myelin water. When using a multi spin-echo acquisition, the relaxation rate measured in each pool has been shown to depend on the orientation of the containing white matter fibre with respect to the main magnetic field. Here, we show an additional influence of the acquisition echo spacing on the apparent intra/extracellular rate relaxation rate, and using numerical simulation, we provide evidence that decoherence mediated by diffusion through local field inhomogeneities created by blood vessels cannot explain the observed orientation dependence.

2863
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Mechanisms of relaxation in blood - Nuclear magnetic resonance dispersion profile of rat’s blood, plasma, and red cells at different temperatures
Mohsine Mekhfi 1, Aimé Labbé 1, Dimitri Kereselidze1, Erwan Selingue 2, Lionel Broche3, Anne-Laure Rollet 4, and Marie Poirier-quinot1

1Université Paris Saclay, CEA, CNRS, Inserm, Laboratoire d’Imagerie biomédicale multimodale Paris Saclay (BioMaps), Orsay, France, 2Université Paris-Saclay, CEA, CNRS, Baobab, NeuroSpin, Gif-sur-Yvette, France, 3Aberdeen Biomedical Imaging Centre, University of Aberdeen, Foresterhill, AB25 2ZD, Aberdeen, UK, Aberdeen, Scotland, 4Laboratoire PHysico-chimie des Electrolytes et Nanosystèmes InterfaciauX, PHENIX, Sorbonne Université, CNRS, Paris, France

Measuring whole blood relaxation time is as a reliable diagnosis tool. Usually, one compartmental model is used to fit data, which seems a very simplistic approach considering the complexity of blood. The aim of this work is to test the validity of this assumption by studying the relaxation rate of whole blood, plasma and red blood cells (rbc) of rats at different temperatures. The whole blood is well described by a two-compartment approach, one corresponding to plasma and another for red blood cells. Once frozen, there is only one relaxation rate population, which is considered to be the rbc population.
 


Electromagnetic Properties & Oximetry

Exhibition Hall:S8 & S9
Thursday 9:15 - 10:15
Contrast Mechanisms
Module : Module 23: MR Contrasts

2910
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Comparison and validation of multiple MR-EPT methods with ground truth vector network analyzer measurements
Zhongzheng He1, Martin Doguet1, Paul Soullié1, Paulo Loureiro de Sousa2, Pauline Lefebvre1, and Freddy Odille1,3

1IADI U1254, INSERM, Université de Lorraine, Nancy, France, 2ICube, Université de Strasbourg, CNRS, Strasbourg, France, 3CIC-IT 1433, CHRU Nancy, INSERM, Université de Lorraine, Nancy, France

Many MR-EPT reconstruction methods have been published, however, there is a lack of comparative experiments to verify the reconstructed electrical properties (EP) maps. In this work, we compared and validated the phase-based (PB), complex-image-based (CIB), and their simplified methods with ground truth vector network analyzer measurements on different conductivity phantoms. After serval comparative experiment repetitions, the complex-image-based method by Soullié et al.[1] was the most consistent to the VNA ground truth measurements. The proposed setup can be used to compare other MR-EPT reconstruction methods.

2911
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A Novel Volume-Surface Integral Equation Formulation of Global Maxwell Tomography: Simulations and Experiments.
Ilias Giannakopoulos1,2, Jose Seralles3, Jan Paska1,2, Georgy Guryev3, Carlotta Ianniello1,2, Luca Daniel3, Jacob White3, Ryan Brown1,2,4, Daniel Sodickson1,2,4, and Riccardo Lattanzi1,2,4

1Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States, 2The Bernard and Irene Schwartz Center for Biomedical Imaging (CBI), Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States, 3Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, United States, 4Vilcek Institute of Graduate Biomedical Sciences, New York University Grossman School of Medicine, New York, NY, United States

Global Maxwell Tomography (GMT) is an inverse scattering technique that estimates electrical properties (EP) from magnetic resonance measurements. The original GMT relies on an approximation of the incident fields, which is not accurate for experiments, especially in-vivo. We propose a new GMT formulation, based on the volume-surface integral equation (VSIE) method, where we implicitly re-estimate the incident fields accounting for the updated EP in every GMT iteration. We show average EP reconstruction error below 8% for a uniform phantom experiment and below 10% for a simulation experiment with a heterogeneous head model and realistic SNR.

2912
Computer 107
Automatic selection of the optimal kernel size for Helmholtz-based EPT
Alessandro Arduino1, Stefano Mandija2,3, Francesca Pennecchi1, Cornelis A. T. Van Den Berg2,3, and Luca Zilberti1

1Istituto Nazionale di Ricerca Metrologica (INRiM), Torino, Italy, 2Department of Radiotherapy, University Medical Center Utrecht, Utrecht, Netherlands, 3Computational Imaging Group for MR Diagnostics & Therapy, Center for Image Sciences, University Medical Center Utrecht, Utrecht, Netherlands

In this work, a procedure for the automatic selection of the optimal kernel size in Helmholtz-based electric properties tomography (MR-EPT) with phase-based approximation is presented and tested on experimental data acquired on a phantom with a 3 T MRI scanner. The procedure is exclusively based on the map of the transceive phase, making no assumptions on the data in addition to those used in the derivation of the Helmholtz-based MR-EPT technique. As a by-product, the approach provides a map indicating the reliability of the reconstructed electric conductivity pixel-by-pixel.

2913
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Conductivity mapping at 0.55 T with balanced steady state free precession
Santhosh Iyyakkunnel1,2 and Oliver Bieri1,2

1Department of Radiology, University Hospital Basel, Basel, Switzerland, 2Department of Biomedical Engineering, University of Basel, Basel, Switzerland

Conductivity mapping depends sensitively on the signal-to-noise ratio (SNR) of the transmit phase estimation. It is thus questionable, whether conductivity mapping can be performed at low field. Due to reduced off-resonances, however, a possible solution for the reduced SNR might be offered by balanced steady state free precession (bSSFP). Brain conductivity mapping with bSSFP was investigated at 0.55 T and appears to be feasible but besides SNR also the reduced curvature of the transmit field becomes challenging.

2914
Computer 109
Deep prior for suppressing noise amplification and edge preservation in Phase-based EPT with Low-SNR image
Chuanjiang Cui1, Jun-Hyeong Kim1, Kyu-Jin Jung1, Jaeuk Yi1, and Dong-Hyun Kim1

1Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Korea, Republic of

Phase-based EPT algorithm is extremely sensitive to noise. Although many studies have investigated such as linear(Gaussian filter) or non-linear filter(TV norm) to cope with amplification, textured noise and staircasing effect still remain in phase image, which lead to conductivity error such as broadening boundary artifact or high std value in reconstructed conductivity maps. In this study, we propose a deep prior based denoising method, which achieve to not only suppress instability brought by noise amplification but reduce boundary error.

2915
Computer 110
Investigating Spiral Trajectories for Sub-second Conductivity Imaging in MREPT
Safa Özdemir1, Efe Ilicak1, Lothar R. Schad1, and Frank G. Zöllner1,2

1Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany, 2Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany

Magnetic Resonance Electrical Properties Tomography (MREPT) technique is used to obtain conductivity (σ) and permittivity (ε), using phase of the B1+ information. While spin echo and bSSFP based pulse sequences were shown to successfully obtain phase images, they are either very slow or suffer from artifacts and require multi-acquisitions. To overcome these limitations, in this work we investigate the use of spiral trajectory-based sequences in MREPT. Our results indicate that even for sub-second acquisition times, conductivity maps can be successfully acquired via spiral trajectory-based sequence, and therefore can improve the utility of MREPT techniques by shortening the acquisition time drastically.

2916
Computer 111
Robust measurements of current-induced magnetic fields in the human brain by EPI
Fróði Gregersen1,2,3, Cihan Göksu2,4, Hasan Eroğlu1,2, Zhentao Zuo3,5,6, Axel Thielscher1,2, and Lars Hanson1,2

1Section for Magnetic Resonance, DTU Health Tech, Technical University of Denmark, Kgs. Lyngby, Denmark, 2Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Copenhagen, Denmark, 3Sino-Danish College, University of Chinese Academy of Sciences, Beijing, China, 4High-Field Magnetic Resonance Center, Max-Planck-Institute for Biological Cybernetics, Tübingen, Germany, 5State Key Laboratory of Brain and Cognitive Science, Beijing MRI Center for Brain Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China, 6Center for Excellence in Brain and Science and Intelligence Technology, Chinese Academy of Sciences, Beijing, China

Magnetic resonance current density imaging (MRCDI) can measure the magnetic fields created in the human brain from currents injected via surface electrodes. Previous methods have demonstrated high sensitivity sufficient for low current strengths (~1 mA). However, they have also proven susceptible to physiological noise. Here we increase the temporal resolution of the method and thereby the robustness to physiological noise by using echo-planar imaging (EPI) for the acquisition. We show that the method produces reliable magnetic field measurements with an average sensitivity of 52 pT for a 2 minutes scan with 3 mm isotropic resolution.

2917
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In vitro MR-based Electric Properties Tomography during Temperature Increase
Jessica A. Martinez1, Alessandro Arduino1, Kevin Moulin2,3, Adriano Troia1, Oriano Bottauscio1, and Luca Zilberti1

1Advanced Materials Metrology and Life Science, Istituto Nazionale di Ricerca Metrologica, Turin, Italy, 2CREATIS, Lyon, France, 3University Hospital of Saint-Etienne, Saint-Etienne, France

The feasibility of EPT to obtain electrical conductivity data during temperature increase was analyzed. Experiments were performed in two homogeneous phantoms with different saline concentrations during temperature increase.

2918
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Mapping of weak current-induced magnetic fields in a 3D volume of the human brain at high resolution: 2D vs. Simultaneous multi slice
Cihan Göksu1,2, Klaus Scheffler2,3, Fróði Gregersen1,4,5, Hasan Hüseyin Eroğlu1,4, Rahel Heule2,3, Hartwig R. Siebner1,6,7, Lars G. Hanson1,4, and Axel Thielscher1,4

1Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital, Amager and Hvidovre, Denmark, 2High-Field Magnetic Resonance Center, Max-Planck-Institute for Biological Cybernetics, Tübingen, Germany, 3Department of Biomedical Magnetic Resonance, University of Tübingen, Tübingen, Germany, 4Section for Magnetic Resonance, DTU Health Tech, Technical University of Denmark, Kgs Lyngby, Denmark, 5Sino-Danish Center for Education and Research, Aarhus, Denmark, 6Department of Neurology, Copenhagen University Hospital, Bispebjerg, Denmark, 7Institute for Clinical Medicine, Faculty of Medical and Health Sciences, University of Copenhagen, Copenhagen, Denmark

Exact knowledge of current distributions induced by transcranial electrical stimulation (TES) in the brain is important for effective clinical use of TES. MRCDI uses MRI to measure the TES-induced magnetic fields for estimating the underlying current flow distributions. The estimation methods can benefit from highly sensitive volume MRCDI measurements at a high spatial resolution. Here, we advanced our 2D spoiled gradient-echo-based MRCDI method for a sparse volume acquisition by using simultaneous-multi-slice (SMS) acquisition. Our SMS strategy demonstrated 25% improvement in noise floors against 2D. We test the performance of our methods by phantom and human in-vivo experiments using cable-loop currents.

2919
Computer 114
Toward static-inhomogeneity-insensitive detection of neuro-electro-magnetic fields via compensated rotary saturation
Maximilian Gram1,2, Petra Albertova1,2, Verena Schirmer2, Martin Blaimer3, Matthias Gamer4, Martin J. Herrmann5, Peter Michael Jakob2, and Peter Nordbeck1,6

1Department of Internal Medicine I, University Hospital Würzburg, Würzburg, Germany, 2Experimental Physics 5, University of Würzburg, Würzburg, Germany, 3Magnetic Resonance and X-ray Imaging Department Fraunhofer IIS, Fraunhofer Institute for Integrated Circuits IIS, Würzburg, Germany, 4Department of Psychology, University of Würzburg, Würzburg, Germany, 5Center of Mental Health, Dept. of Psychiatry, Psychosomatics, and Psychotherapy, University Hospital Würzburg, Würzburg, Germany, 6Comprehensive Heart Failure Center (CHFC), University Hospital Würzburg, Würzburg, Germany

Resonant absorption during spin-lock preparation can be used to measure tiny oscillating magnetic fields acting as direct evidence of electrical neuronal activity. Different spin-locking techniques were compared with respect to their sensitivity in magnetic field detection. As a specialty, the oscillating magnetic fields were generated by the built-in gradient system in an offcenter slice. The spin-lock time was identified as the crucial parameter for the performance of NEMO (neuro-electro-magnetic-oscillations) detection, since minima and maxima in the signal amplitude emerged in phantom and in vivo experiments. Affirmative, the experimental results show an excellent agreement with simulation results.

2920
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Gradient based emulation of neuro-electro-magnetic oscillations: A validation technique for MRI-based detection of Biomagnetism
Petra Albertova1,2, Maximilian Gram1,2, Verena Schirmer1, Martin Blaimer3, Martin J. Herrmann4, Matthias Gamer5, Peter Nordbeck2,6, and Peter Michael Jakob1

1Experimental Physics 5, University of Würzburg, Würzburg, Germany, 2Department of Internal Medicine I, University Hospital Würzburg, Würzburg, Germany, 3Magnetic Resonance and X-ray Imaging Department, Fraunhofer IIS, Fraunhofer Institute for Integrated Circuits IIS, Würzburg, Germany, 4Center of Mental Health, Dept. of Psychiatry, Psychosomatics, and Psychotherapy, University Hospital of Würzburg, Würzburg, Germany, 5Department of Psychology, University of Würzburg, Würzburg, Germany, 6Comprehensive Heart Failure Center (CHFC), University Hospital Würzburg, Würzburg, Germany

Spin-lock based absorption of magnetic oscillations offers potential for direct detection of electrical neuronal activity. We propose a novel versatile validation and calibration technique which paves the way for emulation and quantification of biomagnetic fields. Using ultra-weak gradient waveforms, the method mimics brain activity and thus projects artificial fields onto the tissue under investigation. The method applicable for sequence validation or signal calibration was tested in phantom and in vivo experiments with the built-in gradient system providing sinusoidal field modulations down to 1 nT. It proved to be reliable and reproducible and hence can potentially enable quantification of biomagnetic fields.

2921
Computer 116
A semi-realistic and reusable 3D printed brain phantom for MR-based Electrical Properties Tomography
Thierry G. Meerbothe1,2, Sammy Florczak3, Peter R. S. Stijnman1,2, Cornelis A. T. van den Berg1,2, Riccardo Levato3,4, and Stefano Mandija1,2

1Department of Radiotherapy, Division of Imaging and Oncology, University Medical Center Utrecht, Utrecht, Netherlands, 2Computational Imaging Group for MR Diagnostics and Therapy, Center for Image Sciences, University Medical Center Utrecht, Utrecht, Netherlands, 3Department of Orthopaedics, University Medical Center Utrecht, Utrecht, Netherlands, 4Department of Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, Netherlands

This work presents a semi-realistic and reusable 3D printed brain phantom to benchmark MR-Electrical-Properties-Tomography reconstruction methods. We show that the hollow compartments of this phantom can be refilled multiple times with different water-based solutions of known electrical properties, which are otherwise not available from in-vivo measurements. Additionally, these brain phantoms can be used inside electromagnetic simulation software, allowing for MR-EPT reconstructions in controlled, simulation settings. In this way, a database comprising of simulated and measured data using these brain models and corresponding 3D printed phantoms will be generated and shared for the first MR-EPT reconstruction challenge.

2922
Computer 117
Understanding the vasodilatory effects of oxygen in oxygen enhanced functional lung MRI at 0.55T
Björn Wieslander1, Felicia Seemann2, Ahsan Javed2, Christopher G Bruce2, Rajiv Ramasawmy2, Andi Jaimes2, Katherine Lucas2, Victoria Frasier2, Amanda Potersnak2, Robert J Lederman2, and Adrienne E Campbell-Washburn2

1Pulmonary Branch, Division of Intramural Research, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, United States, 2Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States

Oxygen-enhanced lung MRI is promising for assessing regional lung function (ventilation and perfusion) but the physiological contributions to signal enhancement are poorly characterized. We sought to assess how oxygen-induced pulmonary vasodilation may contribute to signal enhancement by altering pulmonary blood volume and therefore lung proton density. We acquired repeated PDw and T1w images using a 0.55 T prototype MRI system in anesthetized pigs exposed to room air, 100% O2, 50% O2, hypoxia and experimental pulmonary hypovolemia. Our findings suggest that T1w signal intensity is affected by oxygen through both T1 shortening and vascular activity.

2923
Computer 118
Oxygen induced T1 changes in head and neck anatomical structures
Alastair McCabe1,2, Damian Borys3, Judith Christian1, Solange Pereira4, Selene Rowe4, Paul S Morgan5, Jagrit Shah4, Elaine Blackshaw6, Stewart Martin7, and Rafal Panek2,6

1Department of Clinical Oncology, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom, 2School of Medicine, University of Nottingham, Nottingham, United Kingdom, 3Department of Systems Biology and Engineering, Silesian University of Technology, Gliwice, Poland, 4Department of Radiology, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom, 5Radiological Sciences, University of Nottingham, Nottingham, United Kingdom, 6Department of Medical Physics & Clinical Engineering, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom, 7University of Nottingham Biodiscovery Institute, Nottingham, United Kingdom

Oxygen enhanced MRI (OE-MRI) is a proposed tumour hypoxia imaging technique that is yet to be widely applied in the head and neck. 7 participants, 3 with suspected head and neck squamous cell carcinoma (HNSCC) were scanned using 3D spoiled GRE-DIXON. After on air scans, oxygen was delivered via a non-rebreather mask. T1 times were determined on in-phase images. Oxygenation led to statistically significant T1 shortening in CSF, thyroid and neck nodes. OE-MRI shows promise in identifying hypoxic regions in the head and neck. Further work investigating the feasibility of OE-MRI to detect hypoxic regions in HNSCC is warranted.



Spectroscopy II

Exhibition Hall:S8 & S9
Thursday 10:15 - 11:15
Contrast Mechanisms
Module : Module 7: Spectroscopy & Hyperpolarization

2610
Computer 51
Linear-combination modeling of short-TE PRESS data using parameterized and experimentally derived macromolecule basis functions
Helge Jörn Zöllner1,2, Tao Gong3,4, Steve C. N. Hui1,2, Yulu Song1,2, Weibo Chen5, Guangbin Wang3,4, Georg Oeltzschner1,2, and Richard A. E. Edden1,2

1Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, 3Departments of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China, 4Departments of Radiology, Shandong Provincial Hospital, Cheeloo College of Medicine, Jinan, Shandong, China, 5Philips Healthcare, Shanghai, China

Recent expert consensus emphasizes the use of measured MM spectra for reliable linear-combination modeling (LCM) of short-TE MRS data. Here we compare the metabolite estimates from short-TE PRESS data modeled with a parameterized and measured MM basis functions in a large dataset.

2611
Computer 52
Reliable Quantification of Phosphocreatine and total Creatine during Deep Hypothermic Circulatory Arrest in Neonatal Pig Brain using LCModel
Meng Gu1, Ralph Hurd1, and Daniel Spielman1

1Radiology, Stanford University, Stanford, CA, United States

Reliable in-vivo measurement of phosphocreatine using 1H MRS offers valuable information for understanding brain energy metabolism. At 3T, separate quantification of phosphocreatine and creatine has been challenging using LCModel. This problem exacerbates in studies of deep hypothermic circulatory arrest (DHCA), a technique used in many cardiac surgeries, due to temperature-dependent chemical shifts. Furthermore, total creatine quantification is hampered using a 37°C-only basis set as it fails to account for the increased polarization at lower temperatures. By using a semi-laser sequence with temperature dependent LCModel basis sets, reliable quantification of phosphocreatine and total creatine was achieved for the DHCA studies.

2612
Computer 53
1H spectroscopy of glutamate kinetics with 13C-glucose infusion in rodents at 7T
Christopher D. Kroenke1, Natalie M. Zahr2,3, Evan Kittle3, and Adolf Pfefferbaum2,3

1Oregon Health & Science University, Portland, OR, United States, 2Stanford University, Palo Alto, CA, United States, 3SRI International, Palo Alto, CA, United States

This work implements a method for measuring cerebral kinetics of glucose metabolism using 1H magnetic resonance spectroscopy (MRS) in rats using a small-animal 7T MRI system. The method has been demonstrated to be readily applied to nonhuman primates and human subjects using clinical MRI systems. The extension to small animals requires intravenous administration of small quantities of 13C-labeled glucose, and adaptation of data analysis procedures to data acquired at high magnetic field strength. We demonstrate robust quantification of 13C enrichment within the glutamate at the C4 position. This methodology will facilitate future translational research involving preclinical models of human disease.

2613
Computer 54
Monitoring the complexification of cerebellar and thalamic cells during early development with diffusion-weighted MR spectroscopy
Lily Qiu1, Marco Palombo2,3, Jason Lerch1,4,5, and Clémence Ligneul1

1Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom, 2Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, United Kingdom, 3School of Computer Science and Informatics, Cardiff University, Cardiff, United Kingdom, 4Mouse Imaging Centre, The Hospital for Sick Children, Toronto, ON, Canada, 5Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada

Monitoring non-invasively the development of brain cells in the neonate and infant brain could be of interest for neurodevelopmental disorders.  In this work, we assess whether diffusion-weighted MR spectroscopy (DWMRS) has the potential to follow cerebellar and thalamic cells development in the healthy rat brain from P5 to P30.  Results show that  DWMRS is sensitive to microstructural changes in the developing brain. The modeling of the data shows a cell growth and complexification (from P15 to P30), and underlies the need of different modeling hypotheses at earlier time points.

2614
Computer 55
Harmonisation of multi-site MRS data with ComBat
Tiffany Bell1,2,3, Kate J Godfrey1,2,3, Ashley L Ware2,3,4,5, Keith Owen Yeates2,3,4, and Ashley D Harris1,2,3

1Department of Radiology, University of Calgary, Calgary, AB, Canada, 2Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada, 3Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada, 4Department of Psychology, University of Calgary, Calgary, AB, Canada, 5Department of Neurology, University of Utah, Salt Lake City, UT, United States

Multisite magnetic resonance spectroscopy (MRS) studies are becoming increasingly more common, however data collection across multiple sites introduces non-biological variability that can mask true biological effects. Using PRESS and MEGA-PRESS data obtained from the BIG GABA repository and linear modelling, we show that (1) scanner vendor and data collection site is significantly associated with metabolite levels and (2) data harmonisation using ComBat successfully removes non-biological variance to reveal biological effects of interest. We therefore recommend ComBat as an approach to harmonise multi-site MRS data.

2615
Computer 56
Detection of GABA dynamics with edited functional MR spectroscopy at 3 Tesla: a comparison of modelling strategies
Laura Beghini1,2, Francesca Saviola2, Stefano Tambalo2, and Jorge Jovicich2

1Department of Physics, Norwegian University of Science and Technology, Trondheim, Norway, Trondheim, Norway, 2CIMeC, Center for Mind/Brain Sciences, University of Trento, Rovereto (Trento), Italy, Trento, Italy

There is increased interest in measuring brain GABA dynamics with MR spectroscopy, yet there is no consensus about robust and fast ways to do this. In this study, we evaluated how averaging affects GABA estimates when using different modelling strategies (Gannet, Osprey). Our results show that 60 MEGA-PRESS averages give valid concentration estimates, consistent with literature reports. Moreover, Gannet gives a GABA+/Cr measurement which should be more sensitive to concentration variations across regions and give lower temporal variability at rest relative to the GABA+/tCr measure in Osprey.

2616
Computer 57
Differences in diffusion-weighted MRS processing and fitting pipelines, and their effect on tissue modeling: Results from a workshop challenge.
Chloé Najac1, André Döring2, William Clarke3, Guglielmo Genovese4, Nathalie Just5, Roland Kreis6,7, Henrik Lundell5, Jessie Mosso8,9,10, Eloïse Mougel11, Georg Oeltzschner12,13, Marco Palombo2,14, and Clémence Ligneul3

1C.J. Gorter Center for High-Field MRI, Department of Radiology, Leiden University Medical Center, Leiden, Netherlands, 2Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, United Kingdom, 3Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom, 4Center for Magnetic Resonance Research and Department of Radiology, University of Minnesota, Minneapolis, MN, United States, 5Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Amager and Hvidovre, Copenhagen, Denmark, 6Magnetic Resonance Methodology, Institute for Diagnostic and Interventional Neuroradiology, University Bern, Bern, Switzerland, 7Translational Imaging Center, sitem-insel, Bern, Switzerland, 8CIBM Center for Biomedical Imaging, Lausanne, Switzerland, 9Animal Imaging and Technology, EPFL, Lausanne, Switzerland, 10LIFMET, EPFL, Lausanne, Switzerland, 11Commissariat à l’Energie Atomique et aux Energies Alternatives (CEA), Centre National de la Recherche Scientifique (CNRS), Molecular Imaging Research Center (MIRCen), Laboratoire des Maladies Neurodégénératives, Université Paris-Saclay, Fontenay-aux-Roses, France, 12Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 13F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, 14School of Computer Science and Informatics, Cardiff University, Cardiff, United Kingdom

A processing and fitting challenge was initiated for the “Best practices & Tools for Diffusion MR Spectroscopy” workshop held at the Lorentz Center (Leiden, NL) in September 2021. Our goal was to assess variabilities in processing and fitting pipelines and possibly identify the most robust steps to analyze diffusion-weighted MRS data. A “brain-like” dataset of diffusion-weighted spectra was simulated and participants were asked to analyze the data with their routinely used pipelines. Results showed that variabilities between participants (n=8) particularly increased at higher b-values and for J-coupled metabolites (Ins, Glu) as a result of lower SNR and higher CRLB values.

2617
Computer 58
Uncertainties and bias in quantification by deep learning in magnetic resonance spectroscopy
Rudy Rizzo1,2, Martyna Dziadosz1,2, Sreenath Pruthviraj Kyathanahally3, and Roland Kreis1,2

1Magnetic Resonance Methodology, Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Bern, Switzerland, 2Translational Imaging Center, sitem-insel, Bern, Switzerland, 3Department Systems Analysis, Integrated Assessment and Modelling, Data Science for Environmental Research group, Dübendorf, Switzerland

Deep Learning has introduced the possibility to speed up quantitation in Magnetic Resonance Spectroscopy. However, questions arise about how to access and relate to prediction uncertainties. Distributions of predictions and Monte-Carlo dropout are here used to investigate data and model related uncertainties, exploiting ground truth knowledge (in-silico set up). It is confirmed that DL is a dataset-biased technique, showing higher uncertainties toward the edges of its training set. Surprisingly, metabolites present in high concentrations suffer from comparable high uncertainties as when present in low concentrations. Evaluating and respecting fitting uncertainties is equally crucial for DL and traditional approaches.

2618
Computer 59
A meta-analysis of GABA and Glutamate response in functional magnetic resonance spectroscopy
Duanghathai Pasanta1,2, Georg Oeltzschner3, Talitha Ford4, David J. Lythgoe5, and Nicolaas A. Puts1,6

1Department of Forensic and Neurodevelopmental Sciences, Sackler Institute for Translational Neurodevelopment, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom, 2Department of Radiologic Technology, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai, Thailand, 3Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 4Cognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, Australia, 5Department of Neuroimaging, King’s College London, London, United Kingdom, 6MRC Centre for Neurodevelopmental Disorders, King's College London, London, United Kingdom

Functional magnetic resonance spectroscopy (fMRS) can be used to investigate the neurometabolic responses to external stimuli in-vivo, but findings to date are inconsistent. We performed a systematic review and meta-analysis on 49 human fMRS studies on Glutamate, Glx (Glutamate + Glutamine) and GABA. Small to moderate effect sizes of 0.29-0.47 (p < 0.05) were observed for Glu/Glx regardless of stimulus domain but not for GABA. Results suggest Glu/Glx and GABA responses vary with time course and are unique to stimulus domain or task. This analysis will inform study design in future work.

2619
Computer 60
The combined use of MEGA- editing and asymmetric-PRESS methods improve the precision of cerebral lactate detection in healthy adults
Lauriane Jugé1,2, Iain Ball3, and Caroline D Rae1,2

1Neuroscience Research Australia, Sydney, Australia, 2School of Medical Sciences, University of New South Wales, Sydney, Australia, 3Philips Australia & New Zealand, North Ryde, Australia

Here, we combined two 1H-MRS methods that have shown utility for detecting lactate in the brain, MEGA- editing and use of an asymmetric-PRESS and compared this approach (MEGA-APRESS) with MEGA-PRESS and A-PRESS in phantoms and eight individuals. MEGA-APRESS showed improved precision compared to MEGA-PRESS. Both editing approaches were greatly superior to A-PRESS alone. 

2620
Computer 61
Investigation of metabolic changes in the hippocampus following spinal cord injury applying a metabolite-cycling semi-LASER technique
Sandra Zimmermann1, Dario Pfyffer1, Roland Kreis2,3, Kadir Simsek2,3, Patrick Freund1,4, and Maryam Seif1,4

1Spinal Cord Injury Center, Balgrist University Hospital, Zurich, Switzerland, 2Magnetic Resonance Methodology, Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Bern, Switzerland, 3Translational Imaging Center, sitem-insel, Bern, Switzerland, 4Neurophysics Department, Max Plank Institute, Leipzig, Germany

This work uses magnetic resonance spectroscopy data obtained in the hippocampus of 28 patients with traumatic spinal cord injury (SCI) to investigate SCI-induced metabolic changes. Structural magnetic resonance imaging was performed for hippocampal volumetric assessment. Eighteen healthy controls underwent the same imaging protocol. Study participants underwent a functional assessment by testing the visuospatial and verbal memory performance to check for cognitive impairments. In SCI patients without cognitive impairments, hippocampal metabolites did not differ from healthy controls. This study does not support evidence of degeneration and inflammation in the hippocampus of animal models of SCI that show impaired spatial memory performance.

2621
Computer 62
Improving Lipid Suppression for 1H-MRSI Using Region-Optimized Virtual Coils
Fan Lam1,2,3, Yahang Li1,2, Yibo Zhao2,4, and Justin Haldar5

1Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 2Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 3Cancer Center at Illinois, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 4Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 5Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, United States

One major challenge for 1H-MRSI with localized excitation is minimizing interference from undesired regions, particularly the subcutaneous lipids. In this work, we exploit the complementariness of a new technique called region-optimized virtual coils (ROVir) that is capable of generating a set of virtual channels sensitized to specific regions and spatiospectral processing for lipid removal. Using brain 1H-MRSI data, we demonstrated improved lipid removal by combining ROVir and a state-of-the-art union-of-subspaces method. We expect this integration to be useful for MRSI applications where VOIs are often lateralized (e.g., stroke and tumor) and/or cerebral lipids are of interest. 


MT & CEST

Exhibition Hall:S8 & S9
Thursday 14:45 - 15:45
Contrast Mechanisms
Module : Module 31: Molecular Imaging

2705
Computer 69
Understanding inhomogeneous MT (ihMT) in multi-parameter mapping of human brain: Towards larger ihMT, higher resolution, and influence of T1d
Gunther Helms1,2, Lenka Vaculčiaková2, Kerrin J Pine2, Harald E Möller3, and Nikolaus Weiskopf2,4

1Clinical Sciences, Medical Radiation Physics, Lund University, Lund, Sweden, 2Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 3NMR Methods & Development Group, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 4Felix Bloch Institute for Solid State Physics, Leipzig University, Leipzig, Germany

Inhomogenous Magnetization Transfer (ihMT), the differential response to irradiation at single and dual frequency offsets, is more complex than MT approaches. Expressing ihMT in terms of MT-saturation (ihMTsat) is a first step to quantification as it corrects for underlying T1 and B1+. Larger ihMTsat was observed for smaller frequency offsets, which is explained using MTsat as proxy for bound pool saturation. For longer TR, ihMTsat increased faster than MTsat indicating recovery of dipolar order as ihMTsat increased super-linearly to 1.1pu in WM and 0.2pu in GM at TR=52ms. ihMTsat mapping in vivo was performed at 1.3mm isotropic resolution.

2706
Computer 70
Acquisition optimization for cortical ihMTsat imaging
Christopher D Rowley1,2, Ilana R. Leppert1, Jennifer S.W. Campbell1, G Bruce Pike3, and Christine L Tardif1,2,4

1McConnell Brain Imaging Centre, McGill University, Montreal, QC, Canada, 2Neurology and Neurosurgery, McGill University, Montreal, QC, Canada, 3Hotchkiss Brain Institute and Departments of Radiology and Clinical Neuroscience, University of Calgary, Calgary, AB, Canada, 4Biomedical Engineering, McGill University, Montreal, QC, Canada

Sequence simulations are used to compare different conventional and boosted saturation schemes and imaging protocols for the purpose of high-resolution ihMTsat cortical imaging. The simulations are constrained to a maximum of four minutes per volume. We find an optimal region for conventional saturation that produces the greatest ihMTsat. For the boosted approach, larger ihMTsat values are found with respect to the conventional approach, and ihMTsat increases with longer TRs. However, the practical utility of the boosted approach for cortical imaging is hampered by a wider PSF associated with higher turbo factors. Simulated ihMTsat findings are supported by in vivo data.


2707
Computer 71
Generalized Bloch model: a theory for pulsed magnetization transfer
Jakob Assländer1,2, Cem Gultekin3, Sebastian Flassbeck1,2, Steffen J Glaser4, and Daniel K Sodickson1,2

1Center for Biomedical Imaging, New York University School of Medicine, New York, NY, United States, 2Center for Advanced Imaging Innovation and Research, New York University School of Medicine, New York, NY, United States, 3Courant Institute of Mathematical Sciences, New York University, New York, NY, United States, 4Department of Chemistry, Technische Universität München, München, Germany

We introduce a classical model to describe magnetization transfer (MT). Like a quantum-mechanical description of spin dynamics and like the original Bloch equations, but unlike existing MT models, the proposed model is based on the algebra of angular momentum in the sense that it explicitly models the rotations induced by radio-frequency (RF) pulses. It unifies the original Bloch model, Henkelman's steady-state theory for magnetization transfer, and the commonly assumed rotation induced by hard, i.e. short, pulses, and describes experimental data better than previous models.

2708
Computer 72
Quantitative magnetization transfer: Estimation of the Semi-Solid Spin Pool's T1
Sebastian Flassbeck1,2 and Jakob Assländer1,2

1Center for Biomedical Imaging, New York University School of Medicine, New York, NY, United States, 2Center for Advanced Imaging Innovation and Research, New York University School of Medicine, New York, NY, United States

Most magnetization transfer experiments are insensitive to the longitudinal relaxation rate of the invisible semi-solid spin pool and it has become common practice to heuristically assume 1/second. This assumption has, however, been challenged recently. Because this parameter is notoriously hard to estimate, previous studies have relied on the analysis of large white matter regions or the entire brain. Here, we explore the ability to estimate this value on a voxel-by-voxel basis with an MR-Fingerprinting-like pulse sequence. 

2709
Computer 73
Quantitative Magnetization Transfer parametric mapping unbiased by on-resonance saturation and dipolar order contributions
Lucas Soustelle1,2, Thomas Troalen3, Andreea Hertanu1,2, Maxime Guye1,2, Jean-Philippe Ranjeva1,2, Gopal Varma4, David C. Alsop4, Olivier M. Girard1,2, and Guillaume Duhamel1,2

1Aix Marseille Univ, CNRS, CRMBM, Marseille, France, 2APHM, Hôpital Universitaire Timone, CEMEREM, Marseille, France, 3Siemens Healthcare SAS, Saint-Denis, France, Paris, France, 4Division of MR Research, Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States

Two major biases in the current qMT methodology arise from i) on-resonance saturation effects induced by readout pulses used in variable flip angle SPGR experiments, and ii) dipolar order effects induced by single-frequency off-resonance saturation pulses leading to a reduced saturation efficiency. In this work, we evaluate these two biases by performing experiments and analyses by accounting for on-resonance saturation in the qMT model and using simultaneous symmetric dual-offset frequency saturation pulses to cancel out dipolar order effects. Results show improvement in the fitting procedure and more accurate estimation of T1,f and MPF values in white and grey matter structures.

2710
Computer 74
On the Prospects of Magnetization Transfer Imaging at 0.55T
Roya Afshari1,2, Grzegorz Bauman1,2, and Oliver Bieri1,2

1Division of Radiological Physics, Department of Radiology, University Hospital Basel, Basel, Switzerland, 2Department of Biomedical Engineering, University of Basel, Basel, Switzerland

Magnetization transfer (MT) imaging has been extensively used to explore microstructural changes in the brain at high fields. In this work, we explore the potential of a 3D half-radial dual-echo balanced steady-state free precession (bSSFP) sequence for fast whole-brain magnetization transfer ratio (MTR) imaging at low-field strength. Our work indicates superiority of MT-sensitized bSSFP against conventional MT-prepared spoiled gradient echo (SPGR) in terms of MT contrast and resolution within similar scan time. In conclusion, MTR imaging with bSSFP offers excellent prospects for broad clinical translation and application at low fields.

2711
Computer 75
Reproducibility of 3D NOE-MTR in a in vivo healthy human brain at 7T
Blake Benyard1, Ravi Prakash Reddy Nanga1, Neil Wilson1, Deepa Thakuri1, Abigail Cember1, and Ravindeer Reddy1

1CAMIPM, Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States

Nuclear Overhauser Effect (NOE) is an emerging technique to study mobile macromolecules such as lipids in the gray (GM) and white matter (WM) of the brain. In this work, we optimized the saturation pulse parameters of  NOE Magnetization Transfer Ratio (MTR) MRI and investigated its reproducibility on a healthy human volunteer at 7 Telsa.  We found that NOE-MTR of GM and WM regions of the brain was highly reproducible (COV<10%) over a three year time span.  In addition, a saturation length of 3 to 4 sec provided optimal NOE-MTR contrast from both GM and WM regions of the brain. 

2712
Computer 76
Effects of temperature in the estimation of inhomogeneous magnetic transfer (ihMT) in post-mortem human brain
Francisco J. Fritz1, Gunther Helms2,3, Lenka Vaculčiaková3, Nikolaus Weiskopf3,4, and Siawoosh Mohammadi1,3

1Institut für Systemische Neurowissenschaften, Universitätklinikum Hamburg-Eppendorf, Hamburg, Germany, 2Medical Radiation Physics, IKVL, Lund University, Lund, Sweden, 3Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 4Felix Bloch Institute for Solid State Physics, Faculty of Physics and Earth Sciences, Leipzig University, Leipzig, Germany

Inhomogeneous magnetic transfer (ihMT) is more sensitive to myelin macromolecules than standard MT proxies. Measuring ihMT in the multi-parameter mapping protocol allows calculating ihMT from MT saturation (MTsat) maps and thus inherently correct for the undesired  dependencies on flip angle and the longitudinal relaxation rate. Further validation of this new ihMT metric requires measurement of MPM-based ihMT of human post-mortem material. Here, we showed that ihMT of a whole human post-mortem brain is feasible but can lead to temperature increase in the specimen, which is particularly pronounced in white matter.

2713
Computer 77
Acceleration of Quantitative Semisolid MT/CEST Imaging using a Generative Adversarial Network (GAN-CEST)
Jonah P. W. Weigand1, Maria Sedykh2, Kai Herz3,4, Jaume Coll-Font1,5, Christopher Nguyen1,5,6, Moritz Zaiss2,3, Christian T. Farrar1, and Or Perlman1

1Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States, 2Department of Neuroradiology, Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), University Hospital Erlangen, Erlangen, Germany, 3Magnetic Resonance Center, Max Planck Institute for Biological Cybernetics, Tubingen, Germany, 4Department of Biomedical Magnetic Resonance, University of Tübingen, Tübingen, Germany, 5Cardiovascular Research Center, Cardiology Division, Massachusetts General Hospital, Charlestown, MA, United States, 6Health Science Technology, Harvard-MIT, Cambridge, MA, United States

Quantitative metabolite concentration and pH biomarker maps, as provided by semisolid MT/CEST-MR-Fingerprinting (MRF), constitute a useful means for determining the molecular origin of pathology. However, the lengthy dictionary generation time and the prolonged 3D acquisition time may hinder clinical dissemination. Here, we developed a generative adversarial network (GAN), aimed to drastically shorten the 3D semisolid MT/CEST-MRF acquisition time and circumvent the need for dictionary generation. In-vitro and in-vivo experiments in 4 volunteers and a patient were conducted at 3 different sites using 3 different scanner models, showing substantial reduction in scan time, while retaining a good agreement with ground-truth reference.

2714
Computer 78
Simultaneous Mapping of B0, B1 and T1 Using a CEST-like Pulse Sequence and Neural Network Analysis
Patrick Schuenke1, Kerstin Heinecke1, George Henrik Narvaez1, Moritz Zaiss2, and Christoph Kolbitsch1

1Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany, 2Department of Neuroradiology, Friedrich- Alexander Universität Erlangen- Nürnberg, University Hospital Erlangen, Erlangen, Germany

Obtaining isolated effects in Chemical Exchange Saturation Transfer (CEST) MRI requires the correction for the influence of B0- and B1-inhomogeneities and the T1 relaxation time during post-processing. We present an extended approach for simultaneous mapping of B0, B1 and T1 using a CEST-like pulse sequence and a regularized neural network-based analysis that provides additional uncertainty estimations. We demonstrate the in vitro and in vivo applicability of the proposed approach, which is trained using simulated data and confirm its accordance with established reference methods.

2715
Computer 79
Free-breathing 3D CEST MRI of Human Liver at 3T Using MR Multitasking
Pei Han1,2, Tianle Cao1,2, Karandeep Cheema1,2, Hsu-Lei Lee1, Fei Han3, Nan Wang4, Hui Han1, Yibin Xie1, Anthony G. Christodoulou1,2, and Debiao Li1,2

1Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 2Department of Bioengineering, UCLA, Los Angeles, CA, United States, 3Siemens Healthineers, Los Angeles, CA, United States, 4Department of Radiology, Stanford University, Stanford, CA, United States

We developed a 3D abdominal CEST MRI technique at 3T using MR Multitasking, which enables entire-liver coverage with free-breathing acquisition. By exploiting the correlation among images throughout the spatial, time, frequency offset, and respiration dimensions, the low-rank tensor framework shows the possibility to acquire the whole Z-spectrum of 53 frequency offsets within 11 min.

2716
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FAR-CEST: Fast Acquisition and Reconstruction for Chemical Exchange Saturation Transfer (CEST) imaging using a Deep-Learning Approach
Chuyu Liu1, Zhensen Chen2, Yibing Chen3, Xubin Chai1, Zhongsen Li1, and Xiaolei Song1

1Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University, Beijing, China, 2Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China, 3Xi’an Key Lab of Radiomics and Intelligent Perception, School of Information Sciences and Technology, Northwest University, Xi'an, China

We developed a Fast Acquisition and Reconstruction CEST (FAR-CEST) method at 3T human scanners, based on a deep learning approach. A 10X accelerated acquisition was achieved, which under-sampled K-space using a randomized Cartesian pattern of variable density. To fully utilize the correlation among saturation offset dimension, especially to compensate for sparsely-sampled K-space edge, a 3D-Res-Unet model was trained for reconstruction. Results on healthy adult brain suggested that FAR-CEST can produce high quality saturation-weighted images and Z-spectra,but the CEST contrast slightly altered. The highly-acceleration feature of FAR-CEST has been initially validated, yet still require improvement on reconstruction accuracy.

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Fast WASAB1 post-processing for simultaneous B0 and B1 mapping for CEST imaging use in clinical routine
Christos Papageorgakis1, Eleni Firippi1, Benoit Gy1, Timothé Boutelier1, Ibrahim Khormi2,3,4, Oun Al-iedani2,3, Bryan Paton3,5, Jeannette Lechner-Scott 3,6,7, Amir Fazlollahi8, Anne-Louise Ponsonby9,10, Patrick Liebig11, Saadallah Ramadan2,3, Moritz Zaiss12, and Stefano Casagranda1

1Department of Research & Innovation, Olea Medical, La Ciotat, France, 2School of Health Sciences, College of Health, Medicine and Wellbeing,, University of Newcastle, Newcastle, Australia, 3Hunter Medical Research Institute, Newcastle, Australia, 4College of Applied Medical Sciences, University of Jeddah, Jeddah, Saudi Arabia, 5School of Psychology, College of Engineering, Science and Environment, University of Newcastle, Newcastle, Australia, 6Department of Neurology, John Hunter Hospital, New Lambton Heights, Australia, 7School of Medicine and Public Health, College of Health, Medicine and Wellbeing, University of Newcastle, Newcastle, Australia, 8CSIRO Health and Biosecurity, Brisbane, Australia, 9The Florey Institute of Neuroscience and Mental Health, Victoria, Australia, 10Murdoch Children's Research Institute, Royal Children's Hospital, University of Melbourne, Victoria, Australia, 11Siemens Healthcare GmbH, Erlangen, Germany, 12Department of Neuroradiology, University Clinic Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Erlangen, Germany

This work provides a new method for fast post-processing of MRI data acquired using the WASAB1 sequence for simultaneous B0 and B1 mapping, used in CEST imaging for field inhomogeneity corrections. We are proposing a new processing method with outstanding acceleration of the parameter estimation procedure, without compromising the stability of the estimation. The stability of the method is demonstrated on phantom data and in vivo 3 Tesla clinical data.

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CEST MRI at 7T using an optimized parallel transmission saturation scheme
Thaddée Delebarre 1,2, Vincent Gras1,2, Franck Mauconduit1,2, Alexandre Vignaud1,2, Nicolas Boulant1,2, and Luisa Ciobanu1,2

1NeuroSpin, CEA, Saclay, France, 2Paris-Saclay University, Gif-sur-Yvette, France

Compared to the traditional circular polarization (CP) transmission mode, parallel transmission (pTx) excitation allows significant gains in contrast and homogeneity for Chemical Exchange Saturation Transfer (CEST) imaging. Using an in-house developed CEST-EPI sequence incorporating a pTx optimized CEST saturation block, we show that both tailored and universal pTx pulses provide significant improvement at 7T for APT-CEST, GluCEST and GlucoCEST imaging and enable saturation powers unattainable with CP.


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Simultaneous imaging of positive and negative chemical exchange contrast: On the implementation of the RACETE-technique on a clinical 3T-system
Verena Schirmer1, Maximilian Gram1,2, Petra Albertova1, Simon Mayer1,3, Martin Blaimer4, Peter Michael Jakob1, and Fabian Tobias Gutjahr1

1Experimental Physics 5, University of Würzburg, Würzburg, Germany, 2Department of Internal Medicine I, University Hospital Würzburg, Würzburg, Germany, 3Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany, 4Magnetic Resonance and X-ray Imaging Department Fraunhofer IIS, Fraunhofer Institute for Integrated Circuits IIS, Würzburg, Germany

Contrary to the basic principle of CEST, the RACETE technique allows for the direct detection of positive chemical exchange contrast. This method, which was previously demonstrated only under ultra-high field conditions at 7T-17.5T, has now successfully been implemented on a clinical 3T scanner in initial phantom experiments. Furthermore, we present a novel dual-contrast RACETE-technique for simultaneous imaging of the positive RACETE and the negative CEST contrast.

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Deep learning-based motion correction for Semisolid MT and CEST imaging
Munendra Singh1, Babak Moghadas1, Shanshan Jiang1, Peter van Zijl1, Jinyuan Zhou1, and Hye-Young Heo1

1Johns Hopkins University, Baltimore, MD, United States

Conventional semisolid magnetization transfer contrast (MTC) and chemical exchange saturation transfer (CEST) MRI studies typically employ acquisition of a series of images at multiple RF saturation frequencies.  Furthermore, quantitative MTC and CEST imaging techniques based on MR fingerprinting (MRF) require a range of values for multiple RF saturation parameters (e.g. B1, saturation time). These multiple saturation acquisitions lead to a long scan time, which is likely vulnerable to motion during in vivo imaging. Motion correction is hard due to varying image intensity between acquisitions. Herein, we proposed a deep learning-based motion correction technique for conventional Z-spectra and MRF data.


CEST: Cancer

Exhibition Hall:S8 & S9
Thursday 15:45 - 16:45
Contrast Mechanisms
Module : Module 31: Molecular Imaging

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Molecular imaging of breast cancer by chemical exchange saturation transfer (CEST) MRI of glucosamine: first human experience
Michal Rivlin1, Debbie Anaby2,3, Noam Nissan2,3, Moritz Zaiss4, Anagha Deshmane5, Miri Sklair-Levy3,6, and Gil Navon1

1School of Chemistry, Tel-Aviv University, Tel-Aviv, Israel, 2Department of Diagnostic Imaging, Sheba Medical Center, Ramat-Gan, Israel, 3The Sackler School of Medicine, Tel-Aviv University, Tel-Aviv, Israel, 4Department of Neuroradiology, University Clinic Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Erlangen, Germany, 5Department of Biomedical Magnetic Resonance, University of Tübingen, Tübingen, Germany, 6Meirav High Risk Clinic, Department of Diagnostic Imaging, Sheba Medical Center, Ramat-Gan, Israel

In preclinical experiments in implanted breast cancer tumors in mice, glucosamine (GlcN) exhibited enhanced chemical exchange saturation transfer (CEST) MRI signals. Moving toward clinical application, considering the excellent safety profile of GlcN, we examined the feasibility of using the GlcN CEST method to detect human breast cancer on a 3T clinical scanner. Here we report significant CEST MRI signals resulting from the exchangeable protons of GlcN hydroxyls, amine/amide residues as well as nuclear Overhauser enhancement (NOE). Thus, CEST MRI using GlcN has the potential to detect tumors and report their activity, without the use of a gadolinium contrast agent.

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In vivo metabolic CEST changes in brain tumors in a model of metastatic breast cancer
Jennifer Lefeuvre1, Katie MacKey1, Tsang-Wei Tu2, and Joseph Frank1

1Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, United States, 2Molecular imaging laboratory, Department of Radiology, Howard University College of Medicine, Washington DC, DC, United States

Metabolic changes may occur earlier and/or may help distinguish different type of tumors. We investigated the metabolic changes using CEST MRI and characterized induced metastatic breast cancer in the brain of 10 nude rats. In vivo CEST MRI were performed at 9.4T on 3 slices with 31 frequency offsets to cover the full Z-spectra. A total of 12 tumors were analyzed for CEST signal changes. Different tumor types (solid tumor vs necrosis) showed different metabolites uptakes. Tumors located within the dentate gyrus showed significant increased values compared to the tumors in brainstem, cortex and hippocampus.

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A preliminary investigation into the contribution of Amines to the CEST contrast at 2 ppm and 3 ppm in high-grade gliomas at 7T
Bárbara Schmitz Abecassis1, Chloé Najac1, Jeroen de Bresser 1, Linda Dirven2,3, Martin J.B. Taphoorn2,3, Matthias J.P. van Osch1, Johan A.F. Koekkoek2,3, and Ece Ercan1

1Department of Radiology, Leiden University Medical Center, Leiden, Netherlands, 2Department of Neurology, Leiden University Medical Center, Leiden, Netherlands, 3Department of Neurology, Haaglanden Medical Center, The Hague, Netherlands

CEST allows to non-invasively image metabolites and proteins, and the role of APT and NOE CEST in gliomas has been widely investigated. On the other hand, the contribution of amines to the CEST signal at 2 and 3 ppm, and its relationship to creatine and glutamate concentrations, remain unclear. We evaluated the amine CEST contrast in tumor and contralateral white matter in three glioma patients, and compared it to the MRS data. Overall we found a decrease in amine CEST alongside a decrease in total creatine and glutamate in the tumor compared to the contralateral white matter.

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Improving clinical 3T Amide Proton Transfer weighted contrast in Brain Tumors by using a novel spatial denoising method
Feriel Romdhane1, Dario Livio Longo1, Christos Papageorgakis2, Eleni Firippi2, Laura Mancini3,4, Sotirios Bisdas3,4, Moritz Zaiss5, and Stefano Casagranda2

1Institute of Biostructures and Bioimaging (IBB), National Research Council of Italy (CNR), Torino, Italy, 2Department of Research & Innovation, Olea Medical, La Ciotat, France, 3Lysholm Department of Neuroradiology, University College of London Hospitals NHS Foundation Trust, London, United Kingdom, 4Institute of Neurology UCL, London, United Kingdom, 5Department of Neuroradiology, University Clinic Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Erlangen, Germany

Amide Proton Transfer weighted (APTw) imaging is a promising MR molecular technique for characterizing brain tumors on clinical 3T scanners. However, improving the APT weighted contrast is crucial to translate this approach to clinical practice. In this work we investigated a novel spatial denoising filter in synthetic and clinical APTw data of brain tumor patients.


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Presaturation pulse shape enables shifting the pH sensitivity of guanidyl CEST-MRI for absolute pH mapping at 9.4 T
Philip S Boyd1,2, Lilli Diederichs1,2, Johannes Breitling1, Mark E Ladd1,2,3, Peter Bachert1,2, and Steffen Goerke1

1Division of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 2Faculty of Physics and Astronomy, University of Heidelberg, Heidelberg, Germany, 3Faculty of Medicine, University of Heidelberg, Heidelberg, Germany

In this study, we present a method for absolute pH mapping using the guanidyl CEST signal. The method is an extension of a previous approach that allowed compensating for various concomitant effects other than pH, but additionally required measuring the amide signal. By optimizing the pulse shape of the pulsed presaturation the pH sensitivity of the guanidyl signal could now be shifted to the physiologically relevant range around pH 7.1. The shift of sensitivity was verified experimentally in a multi-pH creatine phantom at 9.4T. Thus, CEST-based pH mapping with exceptional specificity is now also possible using only the guanidyl signal.



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Comparison study between APT-weighted and relaxation-compensated CEST-MRI in human glioma at 3T
Florian Kroh1,2, Johannes Breitling1, Nikolaus von Knebel Doeberitz3, Heinz-Peter Schlemmer3,4, Mark E. Ladd1,2,4, Peter Bachert1,2, Daniel Paech3,5, and Steffen Goerke1

1Division of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 2Faculty of Physics and Astronomy, University of Heidelberg, Heidelberg, Germany, 3Division of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 4Faculty of Medicine, University of Heidelberg, Heidelberg, Germany, 5Division of Neuroradiology, University Hospital Bonn, Bonn, Germany

Although the underlying mechanisms of APT-weighted (APTw) CEST-MRI are not completely understood, it has been shown to provide valuable information for brain tumor imaging at 3T. To gather more information about the mechanisms, the APTw signal was correlated to relaxation-compensated CEST contrasts in 21 postoperative human glioma patients. A correlation, although being only moderate, was found for the relaxation-compensated APT contrast in the contrast enhancing (CE) tumor region, but not for other tissues, nor rNOE or MT contrast. Differentiation of the CE tumor and normal appearing white matter was strongly dependent on the selective relaxation-compensated CEST evaluation method.


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Dynamic Glucose Enhanced (DGE) CEST imaging at 3T: from phantom to patient with brain metastases
Yulun Wu1, Sophie H.A.E. Derks1,2,3, Tobias Wood4, Astrid A.M. van der Veldt1,2, Marion Smits1, and Esther A.H. Warnert1

1Department of Radiology & Nuclear Medicine, Erasmus MC, Rotterdam, Netherlands, 2Department of Medical Oncology, Erasmus MC, Rotterdam, Netherlands, 3Department of Neurology, Erasmus MC, Rotterdam, Netherlands, 4Centre for Neuroimaging Science, King's College London, London, United Kingdom

To develop detection of glucose contrast enhancement (GCE) with CEST for assessing brain metastases in clinical setting, here we performed a phantom study, scanned 10 healthy volunteers and one patient with brain metastases at 3T. We acquired dynamic GCE at 1.2 and 2 ppm for dynamic B0 correction and applied principle component analysis (PCA) to perform noise reduction, after which we compared the resulting GCE at both offsets. The developed pipeline resulted in GCE of ~5% in tumor and -5 to 0.05% in healthy tissues after glucose infusion.


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Healthy vs pathological tau can be differentiated by CEST NMR
Fang Frank Yu1, James Ratnakar2, Jonathan A Brewer1, Brian Hitt3, A Dean Sherry1,2, and Elena Vinogradov1,2

1Radiology, University of Texas Southwestern Medical Center, Dallas, TX, United States, 2Advanced Imaging Reseach Center, University of Texas Southwestern Medical Center, Dallas, TX, United States, 3Neurology, University of California, Irvine Medical Center, Irvine, CA, United States

Alzheimer’s Disease (AD) is defined biologically by the presence of neuritic plaques composed of amyloid-in β (Aβ)peptides and dystrophic neurites, neurofibrillary tangles (NFTs) of hyperphosphorylated tau protein, and neuronal loss. In this study, CEST experiments were performed on purified full-length tau monomer and aggregated tau fibrils. We found differences in CEST z-spectra between purified full-length tau monomers and aggregated tau fibrils. This finding substantiates the potential use of CEST for ultimately monitoring disease progression in AD patients