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| 791 | Computer 16
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Effects of Respiration on Aortic Pulse Wave Velocity using Retrospective Respiratory Gated Radial 2D Phase Contrast MRI |
| Grant S Roberts1, Zach S Bernhardt2, Sarah Lose2, Alyssa Pandos2, Kevin M Johnson1,3, Laura B Eisenmenger3, Ozioma Okonkwo2, and Oliver Wieben1,3 | ||
1Dept of Medical Physics, University of Wisconsin - Madison, Madison, WI, United States, 2Dept of Medicine, University of Wisconsin - Madison, Madison, WI, United States, 3Dept of Radiology, University of Wisconsin - Madison, Madison, WI, United States |
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Pulse wave velocity (PWV) is a non-invasive biomarker related to vascular stiffness and cardiovascular risk. Cine 2D phase contrast (2DPC) MRI can be used to assess aortic PWV. However, the effects of respiration on PWV measures remain unexplored. Here, we assessed the effects of respiration by retrospectively gating free breathing radially sampled 2DPC MRI data in both inspiration and expiration. Two axial slices were obtained in the aortic arch and abdominal aorta and time shift methods were used to calculate PWV between the ascending and abdominal aorta. PWV measurements from inspiration (7.58m/s) were significantly decreased relative to expiration (8.42m/s). |
| 792 | Computer 17
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Deep-Learning based Wall Shear Stress Assessments from 3D Aortic Shape |
| Bharath Ambale Venkatesh1, Nadjia Kachenoura2, Kevin Bouaou2, Thomas Dietenbeck2, Rithvik Rithvik Swamynathan3, Alban Redheuil2, Elie Mousseaux4, and Joao A C Lima3 | ||
1Radiology, Johns Hopkins University, Baltimore, MD, United States, 2Sorbonne Université, Paris, France, 3Johns Hopkins University, Baltimore, MD, United States, 4Université de Paris, Hôpital Européen Georges Pompidou, Paris, France |
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We develop deep learning for full aortic wall shear stress assessment using 3D aortic shapes and ascending aortic waveforms as input flow. Technically, this would reduce the acquisition time to less than a minute and the post-processing time to a few seconds. |
| 793 | Computer 18
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Reproducibility of 4D flow MR angiography in peripheral vessels: A combined phantom and in vivo study |
| Martin Sieben1, Andreas Deistung1, Maik Rothe1, Richard Brill1, Walter Alexander Wohlgemuth1, and Alexander Gussew1 | ||
1University clinic and policlinic for Radiology, University Hospital Halle (Saale), Halle (Saale), Germany |
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Time-resolved 3D phase contrast MRA (4D flow MRA) is a technique providing morphological and quantitative 3D hemodynamic information of the blood vessel network without contrast agents and with a high temporal resolution. This study was performed to systematically validate flow measurements in peripheral vessels with high resolution, based on examinations in 4D flow phantom and in femoral vessels of healthy subjects. For this purpose, exams were run with varying spatial resolution and velocity encoding factors. It was shown, that the applied approach enables accurate and reproducible flow measurements by using venc factors of 120cm/s and isotrop spatial resolution of 1mm. |
| 794 | Computer 19
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Local and Global aortic pulse wave velocity in the murine aortic arch assessed by 4D flow magnetic resonance imaging |
| Patrick Winter1,2, Kristina Andelovic2,3, Thomas Kampf2,4, Susanne Schnell1, Alma Zernecke3, Wolfgang Rudolf Bauer5, Peter Michael Jakob2, and Volker Herold2 | ||
1Department of MR Physics, University of Greifswald, Greifswald, Germany, 2Department of Experimental Physics V, University of Wuerzburg, Wuerzburg, Germany, 3Institute of Experimental Biomedicine, University Clinics Wuerzburg, Wuerzburg, Germany, 4Department of Diagnostic and Interventional Neuroradiology, University Clinics Wuerzburg, Wuerzburg, Germany, 5Department of Medical Clinic and Policlinic I, University Clinics Wuerzburg, Wuerzburg, Germany |
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As atherosclerosis is one of the main causes of death in industrial nations, noninvasive imaging modalities for studying its underlying mechanisms are in great demand. The quantification of hemodynamic parameters such as pulse wave velocity (PWV) assessed by flow sensitive magnetic resonance imaging (MRI) is a promising tool to observe plaque progression in preclinical models. Mostly, a global PWV value is assessed, however, previous studies already pointed to heterogeneous elasticity profiles in the presence of atherosclerotic plaques. Here, we present the measurement of local PWV values in the murine aortic arch assessed by 4D-flow MRI for spatially resolved elasticity measurements. |
| 795 | Computer 20
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Fully automated aortic pulse wave velocity calculation from 4D flow MRI with AI-based segmentation |
| Ethan M I Johnson1, Haben Berhane1, Michael Scott1, Kelly Jarvis1, Alex Barker2, and Michael Markl1 | ||
1Northwestern University, Chicago, IL, United States, 2University of Colorado Anschutz Medical Campus, Aurora, CO, United States |
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Pulse wave velocity (PWV) is an important measure of vessel stiffness and can be quantified from 4D flow MRI. Accurate assessment of PWV requires placement of multiple analysis planes in an imaged volume, which typically is performed manually to some degree, such as through use of a vessel segmentation made by an experienced human observer. Here we present evaluation of a fully-automated method for calculating PWV in the thoracic aorta, incorporating an artificial intelligence (AI) convolutional neural network to segment the aorta. Estimates of PWV using AI segmentations were compared those from human-observer segmentations and found to be similarly reliable. |
| 796 | Computer 21
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Effect of Temporal Resolution on Flow-Area Aortic Pulse Wave Velocity Measures Using Phase Contrast and Balanced SSFP MRI: A Preliminary Study |
| Tarun Naren1, Grant Steven Roberts1, and Oliver Wieben1 | ||
1Medical Physics, University of Wisconsin - Madison, Madison, WI, United States |
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The flow-area (QA) method is a promising phase contrast (PC) technique to assess local aortic pulse wave velocity (PWV). However, validation for reduced temporal resolutions is lacking. Data analysis and automated post-processing are compromised because of varying PC image quality throughout the cardiac cycle. In this study, we acquire PC and bSSFP data at three temporal resolutions and measure QAPWV using PC data alone and by combining PC flow measures with bSSFP areas. We found that the highest temporal resolution datasets (10ms) provide the most accurate PWV measures and the method combining bSSFP and PC was less accurate. |
| 797 | Computer 22
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4D Flow MRI Analysis of Flow, Velocity, and Cardiac Flow Compartments in a Swine Model of Pulmonary Hypertension |
| Daniel P Seiter1, Betty Allen2,3, Diana M Tabima3, Timothy A Hacker4, Phil Corrado1, Thekla H Oechtering5, Scott B Reeder1,5, Naomi C Chesler6,7, and Oliver Wieben1,5 | ||
1Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 2Surgery, University of Wisconsin-Madison, Madison, WI, United States, 3Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States, 4Medicine, University of Wisconsin-Madison, Madison, WI, United States, 5Radiology, University of Wisconsin-Madison, Madison, WI, United States, 6Edwards Lifesciences Foundation Cardiovascular Innovation and Research Center, University of California, Irvine, Irvine, CA, United States, 7Biomedical Engineering, University of California, Irvine, Irvine, CA, United States |
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Pulmonary hypertension is a known consequence of left heart failure. However, little is known about the pulmonary vascular and right ventricular changes caused by increased pulmonary venous pressure independent of left heart failure. By surgically banding the inferior pulmonary vein confluence in swine, we created pulmonary venous hypertension without damage to the left heart. Here, we report results from 4D flow MRI analysis of vessel flow, vessel velocity, cardiac flow compartments, and pressures measured via right heart catheterization in this novel model. |
| 798 | Computer 23
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Towards 2D phase-contrast of tricuspid valve flow |
| Jerome Lamy1, Felicia Seemann2, Ricardo Gonzales Vera3, Einar Heiberg4, and Dana Peters1 | ||
1Yale University, New Haven, CT, United States, 2National Institutes of Health, Bethesda, MD, United States, 3University of Oxford, Oxford, United Kingdom, 4Lund University, Lund, Sweden |
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Tricuspid valve flow evaluation is important for evaluation of regurgitation, used as a surrogate of pressures in the RV and as a criterion for evaluation of diastolic dysfunction. While 4D flow methods have interesting possibilities for retrospective valve flow evaluation its practical use is still limited. Here we present a method for direct tricuspid valve flow evaluation in a single breath-hold using 2D valve-following phase contrast sequence with a dynamic slice plane. |
| 799 | Computer 24
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Identification of Subtle Alterations for Demarcation of Disease Transition in Murine Aortic Valve Stenosis by Multiparametric MRI |
| Christine Quast1, Christoph Jacoby1, Malte Kelm1, and Ulrich Flögel1 | ||
1Heinrich Heine University, Düsseldorf, Germany |
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Aortic valve stenosis (AS) is one of the most frequent valve diseases in the elderly with relevant prognostic impact. Becausesufficient experimental models were lacking, we recently refined a murine model of gradable experimental AS closely mimicking disease progression in humans. Here, we aimed at developing a comprehensive MRI approach for simultaneous assessment of changes in valvular, myocardial as well as aortic function in mice. We demonstrate that in this murine model high resolution MRI is capable to reliably display transvalvular aortic flow profiles with concomitant quantification of structural and functional changes inaortic valve, left ventricle, and ascending aorta. |
| 800 | Computer 25
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Clinical impact of automatic failure mode evaluation using self-calibrated phase contrast correction in phase contrast cardiac MRI |
| Ana Beatriz Solana1, Savine C.S. Minderhoud2,3, Piotr A. Wielopolski3, Juan A. Hernandez-Tamames3,4, Ricardo P.J. Budde2,3, Willem A. Helbing5, Martin A. Janich1, and Alexander Hirsch2,3 | ||
1GE Healthcare, Munich, Germany, 2Department of Cardiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands, 3Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands, 4Department of Imaging Physics, TU Delft, Delft, Netherlands, 5Department of Pediatric Cardiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands |
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Phase contrast (PC) cardiac MRI is clinically used to quantify flow. The quantification accuracy is diminished by background phase errors. Stationary tissue-based background phase correction algorithms are commercially available, but their accuracy is still under evaluation. Here, we investigate if a self-calibrated phase contrast (SCPC) algorithm which includes automatic failure mode classification, can improve accuracy in a large single-vendor multi-scanner study including 346 PC scans. Our results show that SCPC improves flow quantification accuracy and can identify most PC scans which are unreliable regardless of stationary tissue correction or not. |
| 801 | Computer 26
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Dual-module velocity-selective arterial spin labeling (dm-VSASL) dramatically improves the temporal signal-to-noise ratio of VSASL |
| Jia Guo1,2 | ||
1Bioengineering, University of California Riverside, Riverside, CA, United States, 2Center for Advanced Neuroimaging, UCR, Riverside, CA, United States |
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High temporal signal-to-noise ratio (tSNR) is desired for arterial spin labeling (ASL) methods. The tSNR of velocity-selective arterial spin labeling (VSASL) was limited in practice due to its sensitivity to error sources such as motion, eddy currents and diffusion effects. A novel VSASL strategy was invented to enable dual-module (dm-) VS saturation (VSS) and VS inversion (VSI) labeling for further improved SNR efficiency with VSASL. This study focused on the tSNR performance analysis and found the tSNR was doubled in gray matter using the new dm-VSASL. The explanation of such significant improvement was explored and validated by in vivo experiments. |
| 802 | Computer 27
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Estimating perfusion and permeability using neural network with training data generated from vessel construction and transport simulation |
| Qihao Zhang1, Dominick Romano2, Thanh Nguyen2, Pascal Spincemaille3, and Yi Wang3 | ||
1Cornell University, Ithaca, NY, NY, United States, 2Cornell University, New York, NY, United States, 3Weill Cornell Medical College, New York, NY, United States |
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We propose to estimate perfusion parameters (perfusion $$$F$$$, permeability $$$K^{trans}$$$, vascular space volume $$$V_p$$$ and extravascular extracellular volume $$$V_e$$$) from contrast enhanced MRI using Quantitative Transport and Exchange network (QTEnet), a deep learning method that does not require an arterial input function. Training data were generated by solving the transport equation in simulated high-resolution vasculature and computing the corresponding 4D tracer propagation. A 3D U-net was trained to reconstruct perfusion parameters from the tracer propagation images. Tracer propagation simulated in experimentally obtained tumor vasculature was used for valiation, and the method was then applied to glioma DCE MRI data. |
| 803 | Computer 28
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Open Science Initiative for Perfusion Imaging (OSIPI): DCE/DSC lexicon for reporting perfusion analysis pipelines |
| Ben R Dickie1, Steven Sourbron2, Petra J van Houdt3, Laura Bell4, Rianne A van der Heijden5, Andrey Fedorov6, Jonathan Arvidsson7, Charlotte Debus8, Ingomar Gutmann9, Chad Quarles10, Ralf Floca11, Zaki ahmed12, David Buckley13, and Ina Kompan11 | ||
1Division of Informatics, Imaging and Data Sciences, The University of Manchester, Manchester, United Kingdom, 2University of Sheffield, Sheffield, United Kingdom, 3the Netherlands Cancer Institute, Amsterdam, Netherlands, 4Genentech, Inc, San Francisco, CA, United States, 5Erasmus MC University Medical Center, Rotterdam, Netherlands, 6Harvard Medical School, Boston, MA, United States, 7University of Gothenburg, Gothenburg, Sweden, 8Karlsruhe Institute for Technology, Karlsruhe, Germany, 9University of Vienna, Vienna, Austria, 10Barrow Neurological Institute, Phoenix, AZ, United States, 11German Cancer Research Center DKFZ, Heidelberg, Germany, 12Mayo Clinic, Rochester, MN, United States, 13The University of Leeds, Leeds, United Kingdom |
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The Open Science Initiative for Perfusion Imaging (OSIPI) aims to improve the reproducibility of perfusion MRI research through creation of acquisition and analysis standards. Specifically, Task Force 4.2 was established to develop a lexicon of variables and processes to facilitate standardised reporting of dynamic contrast-enhanced (DCE-) and dynamic susceptibility contrast (DSC-) MRI analysis pipelines. Here we report progress towards these objectives by presenting the current DCE/DSC lexicon structure, and provide a use-case to encode a simple analysis pipeline. |
| 804 | Computer 29
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High-resolution Spiral First-pass Myocardial Perfusion Imaging at 1.5 T with DEep learning-based rapid Spiral Image REconstruction (DESIRE) |
| Junyu Wang1, Patricia Rodriguez Lozano2, and Michael Salerno1,2,3,4 | ||
1Biomedical Engineering, University of Virginia, Charlottesville, VA, United States, 2Medicine, University of Virginia, Charlottesville, VA, United States, 3Radiology, University of Virginia, Charlottesville, VA, United States, 4Medicine, Stanford University, Stanford, CA, United States |
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First-pass contrast-enhanced myocardial perfusion imaging is useful for evaluating coronary artery disease (CAD). Spiral perfusion imaging techniques, using a motion-compensated (SMS-Slice-) L1-SPIRiT reconstruction, are capable of whole-heart high-resolution perfusion imaging. However, this reconstruction is performed off-line and takes ~30 minutes per slice. To address this, we developed a DEep learning-based rapid Spiral Image REconstruction technique (DESIRE) for spiral perfusion imaging at 1.5 T, for both single-slice (SS) and simultaneous multi-slice (SMS) MB=3 and MB=4 acquisitions, to provide rapid and high-quality reconstruction and make rapid online reconstruction feasible. High image quality was demonstrated using the proposed technique. |
| 805 | Computer 30
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Rapid Motion Correction with Deep Learning for First-Pass Cardiac Perfusion MRI |
| Lexiaozi Fan1,2, Huili Yang1,2, Li-Yueh Hsu3, Aggelos K Katsaggelos1,4,5, Bradley D Allen1, Daniel C Lee6, and Daniel Kim1,2 | ||
1Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, United States, 2Department of Biomedical Engineering, Northwestern University, Evanston, IL, United States, 3Department of Radiology and Imaging Sciences, National Institutes of Health, Bethesda, MD, United States, 4Department of Electrical Engineering, Northwestern University, Evanston, IL, United States, 5Department of Computer Science, Northwestern University, Evanston, IL, United States, 6Division of Cardiology, Internal Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States |
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Motion correction (MoCo) is an important pre-processing step for pixel-by-pixel myocardial blood flow (MBF) quantification from cardiac perfusion MRI. It may also improve throughput of visual evaluation of perfusion images. One commonly used method for MoCo is optical flow (OF), which requires a moderate level of computational demand. In this study, we sought to perform rapid MoCo of respiratory motion on cardiac perfusion images using deep learning (DL). Our results show that the proposed DL MoCo performs 418-times faster than the reference OF approach without loss in accuracy. |
| 806 | Computer 31
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Feasibility of Flow-related Enhancement Brain Perfusion MRI |
| Julian Glandorf1, Filip Klimes1, Andreas Voskrebenzev1, Marcel Gutberlet1, Agilo Luitger Kern1, Norman Kornemann1, Nima Mahmoudi2, Mike Peter Wattjes2, Frank Wacker1, and Jens Vogel-Claussen1 | ||
1Institut für Diagnostische und Interventionelle Radiologie, Hannover Medical School, Hannover, Germany, 2Institut für Diagnostische und Interventionelle Neuroradiologie, Hannover Medical School, Hannover, Germany |
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To test the feasibility of brain perfusion imaging exploiting flow-related enhancement during fast gradient echo sequences. Imaging was performed using Fast Low-Angle Shot (FLASH) and balanced steady-state free precession (bSSFP) sequences of a single axial slice with various imaging parameters at 1.5T and 3T. Perfusion-weighted maps were generated based on the Fourier decomposition method “Phase-REsolved FUnctional Lung” (PREFUL) MRI. The derived imaging protocol was evaluated in patients with metastases and a stroke showing high spatial overlap to post-contrast MRI and CT-perfusion. A cohort of 19 healthy individuals presented moderate, but significant regional correlation and high spatial Dice overlap to pCASL-MRI. |
| 807 | Computer 32
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Investigating Cerebral Perfusion with High Resolution Hyperpolarized [1-13C]Pyruvate MRI |
| Jasmine Y Hu1,2, Sana Vaziri1, Nikolaj Bogh3, Yaewon Kim1, Adam W Autry1, Robert A Bok1, Yan Li1,2, Christoffer Laustsen3, Peder EZ Larson1,2, Duan Xu1,2, Daniel B Vigneron1,2, and Jeremy W Gordon1 | ||
1Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States, 2Bioengineering, University of California Berkeley, Berkeley, CA, United States, 3MR Research Center, Clinical Medicine, Aarhus University, Aarhus, Denmark |
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Acquiring high resolution 7.5 mm2 hyperpolarized [1-13C]pyruvate brain MRI allows for finer spatial delineation of brain structures and can be used to obtain cerebral perfusion parameters. In the healthy volunteers studied, pyruvate rCBV and rCBF were positively correlated to ASL perfusion values. Hyperpolarized pyruvate MRI can be used to assess cerebral metabolism and perfusion within the same study. |
| 808 | Computer 33
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Inline Implementation of Motion-Compensated, High-Resolution Myocardial Perfusion Imaging: Initial Experience |
| Karl Philipp Kunze1, Nina Mellor2, Tracy Moon2, Kuberan Pushparajah3, Radhouene Neji1, and Amedeo Chiribiri3 | ||
1MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom, 2Evelina London Children’s Hospital, Guy’s and St Thomas’ NHS Foundation Trust, London, United Kingdom, 3Biomedical Engineering and Imaging Science, King's College London, London, United Kingdom |
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This abstract describes a feasibility study for a high-resolution perfusion imaging framework, including a dedicated sampling pattern and a motion compensation framework integrated into temporal regularization and implemented in-line on the scanner with GPU support. The approach was employed successfully in patients with suspected myocarditis at rest, showing superior ability to handle both respiratory and cardiac motion at an image resolution of 1.3 mm2, as compared to a clinical reference perfusion sequence and supported by Late Gadolinium Enhancement imaging findings. |
| 809 | Computer 34
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Model-based deconvolution for DSC-MRI: A comparison of accuracy, precision, and computational complexity of transit time distributions |
| Rashed Sobhan1, Glyn Johnson1, and Donnie Cameron1,2 | ||
1Norwich Medical School, University of East Anglia, Norwich, United Kingdom, 2C.J. Gorter Centre for High Field MRI, Department of Radiology, Leiden University Medical Centre, Leiden, Netherlands |
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To identify the optimal model-based deconvolution process for DSC-MRI, four models of transit time distribution (TTD) were compared in terms of goodness and stability of fit, consistency of perfusion estimates, computational complexity, and robustness against |
| 810 | Computer 35
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Arterio-venous transit and oxygen extraction fraction before and after blood transfusion in sickle cell disease |
| Tonner DeBeer1, Lori C Jordan2, Spencer Waddle1, Chelsea A Lee2, Niral J Patel2, Maria Garza3, Larry Taylor Davis4, Sumit Pruthi4, Randall Sky Jones2, and Manus Joseph Donahue3 | ||
1Vanderbilt University, Nashville, TN, United States, 2Pediatrics, Vanderbilt University Medical Center, Nashville, TN, United States, 3Neurology, Vanderbilt University Medical Center, Nashville, TN, United States, 4Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States |
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Most persons with sickle cell disease (SCD) lack conventional stroke risk factors, yet nearly 50% have evidence of brain infarcts by age 30 years, indicating alternative etiologies for ischemia. We investigated whether accelerated red cell transit affects oxygen extraction and improves following transfusion-induced increases in hemoglobin. Findings suggest that evidence of accelerated capillary transit is present on arterial spin labeling (ASL) MRI, and reduces following transfusion-induced increases in hemoglobin. Furthermore, the relationship between dural ASL signal and brain oxygen extraction evolves following transfusion, suggesting that oxygen delivery is complexly dependent on blood oxygen content and capillary dynamics. |
| 895 | Computer 15
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Analysis of Fluid-Structure Stability from 4D Flow MRI to Predict Aortic Dilation |
| Tom Y Zhao1, Guy Elisha1, Ethan M I Johnson2, Sourav Halder1, Ben C Smith2, Bradley D Allen2, Michael Markl2, and Neelesh A Patankar1 | ||
1Northwestern University, Evanston, IL, United States, 2Northwestern University, Chicago, IL, United States |
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We present a novel analysis of 4D flow MRI in the thoracic aorta that identifies fluid structure instabilities, which are elevated in a cohort of 117 suspected-aortopathy patients as compared to 100 healthy subjects, and which are predictive of later complications shown in a follow-up analysis for 72 patients in the cohort. |
| 896 | Computer 16
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Free-Running 5D Flow MRI: Impact of Cardiac Temporal Resolution on Flow Quantification |
| Elizabeth K. Weiss1,2, Cynthia K. Rigsby3, Joshua D. Robinson3, Justin Baraboo1,2, Liliana Ma1,2, Mariana B. L. Falcão4, Christopher W. Roy4, Matthias Stuber4, and Michael Markl1,2 | ||
1Biomedical Engineering, Northwestern University, Evanston, IL, United States, 2Radiology, Feinberg School of Medicine, Chicago, IL, United States, 3Medical Imaging, Lurie Children's Hospital, Chicago, IL, United States, 4Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland |
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The flexible reconstruction of 5D flow MRI data may be particularly beneficial in pediatric cases where cardiac cycle length varies greatly. We compared flow measurements from 5D flow and 2D phase contrast. 5D flow data was reconstructed using either a cardiac bin width of 40ms or that matching the 2D phase contrast reconstruction. We find excellent correlation of both 5D flow reconstructions with 2D phase contrast. There is overestimation of arterial flow measures by 5D flow, with most overestimation by the short temporal resolution reconstruction. Further study should additionally compare with 4D flow MRI. |
| 897 | Computer 17
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Investigation of asymmetric undersampling scheme in accelerated flow imaging for improving velocity and turbulence kinetic energy estimation |
| Kyoung-Jin Park1,2, Ho-Jin Ha3, Dong-Hyun Yang2, Kang-Hyun Ryu4, Jae-Hun Lee1, and Dong-Hyun Kim1 | ||
1Electrical & Electronic Engineering, Yonsei university, Seoul, Korea, Republic of, 2Radiology (Cardiovascular Imaging), Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea, Republic of, 3Department of Mechanical and Biomedical Engineering, Kangwon National University, GANGWON-DO, Korea, Republic of, 4Radiology, Stanford University, Stanford, CA, United States |
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Compressed sensing (CS) technique has recently been used to accelerate long acquisition time in 4D Flow. However, it aggravates underestimation in velocity calculation and overestimation in turbulent kinetic energy (TKE) estimation, when under-sampling is applied. An asymmetric undersampling scheme method of the reference image and velocity encoding images could alleviate problems. The purpose of this paper is investigation of improving velocity and turbulence kinetic energy estimation with an asymmetric reduction for two motion encoding schemes (i.e., conventional 4D Flow vs ICOSA6 Flow) |
| 898 | Computer 18
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COMPARISON OF CONVENTIONAL AND ACCELERATED 4D FLOW MRI ON A FLOW PHANTOM |
| Morgane Garreau1,2, Thomas Puiseux2,3, Ramiro Moreno3,4, Solenn Toupin5, Daniel Giese6, Simon Mendez1, and Franck Nicoud1 | ||
1IMAG, Univ. Montpellier, CNRS UMR 5149, Montpellier, France, 2Spin Up, Toulouse, France, 3I2MC, INSERM/UPS UMR 1297, Toulouse, France, 4ALARA Expertise, Strasbourg, France, 5Siemens Healthcare France, Saint-Denis, France, 6Siemens Healthcare, Erlangen, Germany |
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Fully-sampled and accelerated (GRAPPA R=3 and compressed sensing R=7.6) 4D Flow MRI acquisitions were compared for velocity profiles, flow rates and peak velocities in a rigid cardiovascular phantom under complex pulsatile flow conditions. Compatible CFD simulations were performed under the same flow conditions as a complementary modality. Good agreement was found between the three MR techniques, but discrepancies relative to the principle of mass conservation were noticed. Even though CFD presents some limitations as well, it appears to be a useful tool to investigate these differences. |
| 899 | Computer 19
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Effect of wall elasticity on flow MRI in 3D printed models |
| Isil Unal1, Duygu Dengiz2, Eva Peschke1, Echard Quandt2, Mona Salehi Ravesh1, Mariya Pravdivtseva1, Jan-Bernd Hövener1, and Olav Jansen1 | ||
1Section Biomedical Imaging, Molecular Imaging North Competence Center (MOIN CC), Department for Radiology and Neuroradiology, University Medical Center Schleswig-Holstein, Kiel, Germany, 2Institute for Materials Science, Faculty of Engineering, University of Kiel, Kiel, Germany |
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2D phase-contrast (PC) MRI or 4D flow MRI allows to quantify the blood flow in vivo. However, the accuracy of these methods is influenced by many parameters. To optimize and validate these methods, patient-derived vascular models are key. Here, 3D printing is revolutionizing the manufacturing process, but realistic wall properties are essential for meaningful results. In this study, commercial elastic printing materials were used to fabricate vascular models. A tensile test was applied to all samples. Then the effect of wall elasticity on flow was investigated with 2D PC and 4D flow MRI. Wall motion was quantified using CINE MRI. |
| 900 | Computer 20
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Automatic analysis of cardiovascular magnetic resonance 2D phase contrast CMR imaging |
| Jorge Mariscal-Harana1, Ciaran O'Hanlon1, Carlota Asegurado Marquez1, Marwenie Petalcorin1, Reza Razavi1,2, Andrew P King1, Bram Ruijsink1,2,3, and Esther Puyol-Antón1 | ||
1School of Biomedical Engineering and Imaging Science, King's College London, London, United Kingdom, 2Department of Adult and Paediatric Cardiology, Guy’s and St Thomas’ NHS Foundation Trust, London, United Kingdom, 3Department of Cardiology, Heart and Lung Division, University Medical Center Utrecht, Utrecht, Netherlands |
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Cardiovascular magnetic resonance (CMR) based flow volume quantification in the great thoracic vessels is used in the assessment of several cardiovascular diseases such as valvular regurgitation, cardiac shunts and vascular health. Clinically, flow volume quantification is often performed based on semi-automatic segmentation of a vessel throughout the cardiac cycle in a manually positioned 2D phase-contrast (PC) CMR plane. In this work, we proposed a quality-controlled AI-based framework for automatic flow quantification from a full CMR scan that includes automated view selection. Results show high accuracy in view selection and excellent agreement between manual and automated flow quantification analysis. |
| 901 | Computer 21
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4D flow MRI: Ex-vivo swine model allows distinction between flow patterns induced by aortic valve replacement and surgical pathway alone. |
| Maren Friederike Balks1, Hiroyuki Saisho2, Buntaro Fujita2, Tim Schaller2, Najla Sadat2, Stephan Ensminger2, Jörg Barkhausen1, Alex Frydrychowicz1, and Thekla Helene Oechtering3 | ||
1Department of Radiology and Nuclear Medicine, Universität zu Lübeck, Lübeck, Germany, 2Department of Cardiac and Thoracic Vascular Surgery, Universität zu Lübeck, Lübeck, Germany, 3Department of Radiology, University of Wisconsin, Madison, WI, United States |
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Hemodynamic outcome after aortic valve replacement (AVR) seems dependent on the type of replacement. The impact of the surgical pathway (aortotomy) itself on hemodynamics is still unclear. We proposed an ex-vivo swine model for comprehensive evaluation of aortic hemodynamics after different types of AVR with 4D flow MRI. Postoperative flow changes could be attributed not only to the implanted valve but also to the aortotomy. The new neocuspidization Ozaki procedure compared favorably to a biological valve as it induced fewer secondary flow patterns. Among the three different AVR methods, the mechanical valve allowed for hemodynamics that most closely approached physiology. |
| 902 | Computer 22
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Automated 4D flow-based blood vortex detection for estimation of mean pulmonary arterial pressure |
| Corina Kräuter1,2, Ursula Reiter1, Gabor Kovacs3,4, Clemens Reiter1, Marc Masana5, Horst Olschewski3,4, Michael Fuchsjäger1, Rudolf Stollberger2, and Gert Reiter1,6 | ||
1Department of Radiology, Medical University of Graz, Graz, Austria, 2Institute of Medical Engineering, Graz University of Technology, Graz, Austria, 3Department of Internal Medicine, Medical University of Graz, Graz, Austria, 4Ludwig Boltzmann Institute for Lung Vascular Research Graz, Graz, Austria, 5Institute of Computer Graphics and Vision, Graz University of Technology, Graz, Austria, 6Research and Development, Siemens Healthcare Diagnostics GmbH, Graz, Austria |
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Pulmonary hypertension is characterized by elevated mean pulmonary arterial pressure. Visual vortex analysis revealed a strong relation between elevated mean pulmonary arterial pressure and the duration of vortical blood flow along the pulmonary artery, however, automated pulmonary hypertension-related vortex detection methods are lacking. We propose a method for automated detection and tracking of the pulmonary hypertension-related vortex from 4D flow data and aim to compare it with visual analysis and to validate automatically estimated mean pulmonary arterial pressure against invasively measured results. The automated method agreed very well with visual vortex detection and accurately estimated elevated mean pulmonary arterial pressure. |
| 903 | Computer 23
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Optimization and evaluation of inversion pulses for background suppressed pseudo-Continuous Arterial Spin Labeling at 7T |
| Chenyang Zhao1, Kai Wang1, Christina Graf2, Rudolf Stollberger2, and Danny JJ Wang1,3 | ||
1Laboratory of FMRI Technology (LOFT), Mark & Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States, 2Institute of Medical Engineering, Graz University of Technology, Graz, Austria, 3Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States |
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Background suppression (BS) of pseudo-Continuous Arterial Spin Labeling (pCASL) needs to be optimized at 7T to ameliorate the ASL signal loss caused by the low inversion efficiency (IE) of BS due to B1 inhomogeneity. In this study, the original HS pulse used as BS at 3T was assessed at 7T, and four non-selective inversion pulses, including HS, WURST, OPTIM, and pTx adiabatic, were optimized and evaluated in phantom and in-vivo studies. Less than 80% IE achieved by the original HS pulse was improved to 85% by optimized pulses. Markedly higher tSNR was reported in pCASL with the optimized pulses. |
| 904 | Computer 24
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Multi-delay ASL perfusion imaging: impact of modeling dispersion and interaction with denoising strategies |
| Sara Pires Monteiro1, Joana Pinto2, Michael Chappell3, Ana Fouto1, Miguel Viana-Baptista4, Pedro Vilela5, and Patrícia Figueiredo1 | ||
1Department of Bioengineering, ISR-Lisboa/LARSyS and Department of Bioengineering, Instituto Superior Técnico – Universidade de Lisboa, Lisbon, Portugal, 2Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, United Kingdom, 3Sir Peter Mansfield Imaging Centre, School of Medicine, University of Nottingham, Nothingam, United Kingdom, 4Neurology Department, Hospital Egas Moniz, Centro Hospitalar de Lisboa Ocidental; CEDOC - Nova Medical School, New University of Lisbon, Lisbon, Portugal, 5Imaging Department, Hospital da Luz, Lisbon, Portugal |
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Arterial spin labeling (ASL) acquisitions at multiple post-labeling delays allow for appropriate kinetic models to be fitted to the data, potentially providing more accurate perfusion quantification. We investigated the influence of denoising strategies based on repetition averaging and ICA, together with the choice of an extended kinetic model with or without dispersion, on multi-delay ASL measurements from a group of small vessel disease patients and their age-matched controls. While ICA denoising generally improved model fitting, repetition averaging interacted with modeling dispersion and subject group, significantly impacting the estimation of perfusion and macrovascular contributions, mostly in arterial locations and with pathology. |
| 905 | Computer 25
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The minimal processing pipeline for arterial spin labeling data from the Human Connectome Project Lifespan studies of Aging and Development |
| Flora Kennedy McConnell1,2,3, Jack Toner1,2, Thomas Kirk4,5, Yuriko Suzuki5, Martin Craig1,2, Timothy S. Coalson6, Michael P. Harms7, Matthew F. Glasser6,8, and Michael A. Chappell1,2,3,5 | ||
1Radiological Sciences, Mental Health and Clinical Neurosciences, School of Medicine, University of Nottingham, Nottingham, United Kingdom, 2Sir Peter Mansfield Imaging Centre, School of Medicine, University of Nottingham, Nottingham, United Kingdom, 3Nottingham Biomedical Research Centre, Queen's Medical Centre, University of Nottingham, Nottingham, United Kingdom, 4Institute of Biomedical Engineering, University of Oxford, Oxford, United Kingdom, 5Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom, 6Department of Neuroscience, Washington University School of Medicine, Washington University in St Louis, St Louis, MO, United States, 7Department of Psychiatry, Washington University School of Medicine, Washington University in St Louis, St Louis, MO, United States, 8Department of Radiology, Washington University School of Medicine, Washington University in St Louis, St Louis, MO, United States |
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The arterial spin labelling (ASL) data from the Human Connectome Project (HCP) Lifespan studies can provide a source of unusually high-resolution hemodynamic measures from >2500 individuals with ages 5-21 and 37-100+. This work presents a summary of the minimal ASL processing pipeline used to provide pre-processed calibrated perfusion and arterial arrival time measurements for the cortical surface and subcortical volumes, from these individuals. The pipeline accounts for slice-wise image intensity variations resulting from the simultaneous multi-slice acquisition used to achieve high spatial resolution. These measures and this pipeline will be made available to the global neuroscience and neuroimaging communities. |
| 906 | Computer 26
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F0 determination at the labeling plane: the neglected factor for successful pCASL perfusion MRI |
| Lena Vaclavu1, Kim van de Ven2, and Matthias van Osch1 | ||
1C.J. Gorter Center for High Field MRI, Department of Radiology, Leiden University Medical Center, Leiden, Netherlands, 2Philips Healthcare, Best, Netherlands |
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In perfusion imaging with arterial spin labeling (ASL), the labeling plane is located further away from the isocenter of the scanner, than the imaging volume. This can result in offsets in resonance frequencies which can lead to imperfect inversion and hence lower labeling efficiency. In this study, a perfusion phantom is used to study the influence of off-resonance on two arterial spin labeling schemes, in order to determine whether an additional F0 determination at the labelling plane is the redeeming factor for successful ASL MRI independent of the labeling scheme used. |
| 907 | Computer 27
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Combined optimisation of delays and echo times for blood-brain barrier permeability measurements using multi-TE pCASL MRI |
| Logan X Zhang1 and Michael A Chappell2,3,4 | ||
1Department of Engineering Science, Institute of Biomedical Engineering, Nottingham, United Kingdom, 2Nuffield Department of Clinical Neurosciences, University of Oxford, Wellcome Centre for Integrative Neuroimaging, FMRIB, Oxford, United Kingdom, 3School of Medicine, University of Nottingham, Radiological Sciences, Division of Clinical Neurosciences, Nottingham, United Kingdom, 4School of Medicine, University of Nottingham, Sir Peter Mansfield Imaging Centre and Mental Health & Clinical Neurosciences, Nottingham, United Kingdom |
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Blood-brain barrier permeability to water has been measured as the exchange time (Texch) between intra- and extra-vascular spaces using multi-TE arterial spin labelling (ASL). This relies on small signal changes associated with labelled blood water delivery, making it challenging to achieve high accuracy in short yet clinically-desirable scan durations. In this study, we used an optimal sampling framework to generate pseudo-continuous ASL protocols that were jointly optimised for delays and echo times. Simulation showed that while optimised protocols had overall improvements in parameter estimation compared to conventionally even-sampled protocols, accurately estimating Texch could not be achieved without sacrificing CBF accuracy. |
| 908 | Computer 28
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Open Science Initiative for Perfusion Imaging (OSIPI): Arterial Spin Labeling Imaging and Analysis Lexicon and Reporting Recommendations |
| Yuriko Suzuki1, Patricia Clement2, Weiying Dai3, Sudipto Dolui4, Maria Fernández-Seara5, Thomas Lindner6, Henk JMM Mutsaerts7, Jan Petr8, Xingfeng Shao9, Manuel Taso10, and David L Thomas11 | ||
1Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom, 2Ghent Institute for Functional and Metabolic Imaging, Ghent University, Ghent, Belgium, 3State University of New York at Binghamton, Binghamton, NY, United States, 4University of Pennsylvania, Philadelphia, PA, United States, 5Department of Radiology, Clínica Universidad de Navarra, Pamplona, Spain, 6University Hospital Hamburg-Eppendorf, Hamburg, Germany, 7Department of Radiology and nuclear medicine, Amsterdam neuroscience, Amsterdam University Medical Center, Amsterdam, Netherlands, 8Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany, 9University of Southern California, Los Angeles, CA, United States, 10Department of Radiology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, United States, 11Dept of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom |
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As part of the Open Science Initiative for Perfusion Imaging (OSIPI), the aim of this work is to develop a Lexicon and Reporting Recommendations for arterial spin labeling (ASL) perfusion MR imaging and analysis. The lexicon describes standardized nomenclature and terminology for ASL acquisition techniques, parameters and physiological constants that are required for quantitative analysis. Additionally, a community-endorsed recommendation for reporting acquisition parameters in publications is provided. Overall, this project aims to improve the clarity and consistency of ASL terminology, which in turn will facilitate comparisons between different studies. |
| 909 | Computer 29
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Correction of artefacts in simultaneous multi-slice multi-PLD arterial spin labelling data using Gaussian Process regression |
| Jack Toner1,2, Flora Kennedy McConnell1,2,3, Yuriko Suzuki4, Timothy S. Coalson5, Michael P. Harms6, Matthew F. Glasser5,7, and Michael A. Chappell1,2,3,4 | ||
1Radiological Sciences, Mental Health & Clinical Neurosciences, School of Medicine, University of Nottingham, Nottingham, United Kingdom, 2Sir Peter Mansfield Imaging Centre, School of Medicine, University of Nottingham, Nottingham, United Kingdom, 3Nottingham Biomedical Research Centre, Queens Medical Centre, University of Nottingham, Nottingham, United Kingdom, 4Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom, 5Department of Neuroscience, Washington University School of Medicine, St Louis, MO, United States, 6Department of Psychiatry, Washington University School of Medicine, St Louis, MO, United States, 7Department of Radiology, Washington University School of Medicine, St Louis, MO, United States |
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Simultaneous multi-slice (SMS) acquisitions enable higher resolutions to be achieved for arterial spin labelling (ASL) images. However, SMS acquisitions can introduce a banded pattern of intensity within the images. This reduces the quality of motion estimation as the algorithm aligns the bands in preference to the brain structures. We introduce a Gaussian Process model that can be used to correct the banding in SMS multiple post-labelling delay ASL data, which should improve motion correction. We demonstrate its effectiveness on 10 subjects from the Human Connectome Project Aging dataset. We anticipate that the model will generalise to other ASL datasets. |
| 910 | Computer 30
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The Open Science Initiative for Perfusion Imaging (OSIPI): Results from the ASL MRI Challenge |
| Udunna Anazodo1,2, Joana Pinto3, Flora Kennedy McConnell4,5,6, Cassandra Gould van Praag7,8, Henk Mutsaerts9, Aaron Oliver Taylor10, Jan Petr11, Diego Pineda-Ordóñez12, Maria-Eleni Dounavi13, Irène Brumer14, Wei Siang Marcus Chan14, Jack Toner15, Jian Hu15, Logan X. Zhang3, Laura Bell16, Joseph G. Woods17, Moss Y Zhao18, Paula Croal4,5, and Andre Monteiro Paschoal19 | ||
1Lawson Health Research Institute,, London, ON, Canada, 2Western University, London, ON, Canada, 3Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, United Kingdom, 4Radiological Sciences, Division of Clinical Neuroscience, School of Medicine, University of Nottingham, Nottingham, United Kingdom, 5Sir Peter Mansfield Imaging Centre, School of Medicine, University of Nottingham, Nottingham, United Kingdom, 6Nottingham Biomedical Research Centre, Queens Medical Centre, Nottingham, United Kingdom, 7Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, United Kingdom, 8Department of Psychiatry, University of Oxford, Oxford, United Kingdom, 9Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center,, Amsterdam, Netherlands, 10Gold Standard Phantoms Limited, London, United Kingdom, 11Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiopharmaceutical cancer research, Dresden, Germany, 12Department of Radiology, Clinica Del Country, Bogotá, Colombia, 13Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom, 14Computer Assisted Clinical Medicine, Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany, 15Mental Health & Clinical Neurosciences, School of Medicine, University of Nottingham, Nottingham, United Kingdom, 16Genentech, Inc., South San Francisco, CA, United States, 17Center for Functional Magnetic Resonance Imaging, Department of Radiology, University of California San Diego, La Jolla, CA, United States, 18Department of Radiology, Stanford University, Stanford, CA, United States, 19Institute of Radiology and Department of Radiology and Oncology, University of Sao Paulo, Sao Paulo, Brazil |
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The OSIPI ASL MRI Challenge is an initiative of the ASL community aiming to characterize the variability of CBF quantification arising from different pipelines. The goal of this challenge is to establish best practice in ASL data processing, understand the sources of variability, make ASL analysis more reproducible, and enable fair comparison between studies. Here, we analyzed 3 submitted entries from 7 teams registered in the challenge. The preliminary results showed pipelines based in different programming languages and analysis tools, leading to important variability in the quantitative CBF maps compared to the ground-truth. |
| 911 | Computer 31
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A vortical phantom for ASL perfusion MRI |
| Aaron Oliver-Taylor1 and Xavier Golay1,2 | ||
1Gold Standard Phantoms, London, United Kingdom, 2Queen Square Institute of Neurology, University College London, London, United Kingdom |
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Most perfusion phantoms that have been created make use of porous media to simulate the microvasculature, however their characterisation introduces additional uncertainties into a perfusion measurement. We take inspiration from a recently published impinging jet perfusion phantom and presenting a phantom that makes use of vortices to mix and disperse the perfusion signal. Multi post labelling delay pCASL data was acquired, and fit to the general kinetic model. By assuming the measured perfusion equates to the equivalent perfusion from the systemic flow rate the labelling efficiency can be estimated, and the resultant measured and fitted signal curves closely match. |
| 912 | Computer 32
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SAR-reduced Asymmetric tr-FOCI for PICORE-ASL |
| Didi Chi1,2, Yasmin Blunck1,2, Rebecca Glarin2, Catherine E. Davey1,2, Josef Pfeuffer3, Daniel Staeb3, Jin Jin3, and Leigh A. Johnston1,2 | ||
1Department of Biomedical Engineering, University of Melbourne, Parkville, Australia, 2Melbourne Brain Centre Imaging Unit, University of Melbourne, Parkville, Australia, 3MR Research Collaborations, Siemens Healthcare Pty Ltd, Melbourne, Australia |
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PICORE-ASL using tr-FOCI pulses during labelling typically generates high power deposition at 7T. The current study introduces an asymmetric tr-FOCI pulse for PICORE-ASL to achieve SAR reduction. Results from simulations, phantom and in vivo experiments demonstrate the SAR reduction that can be achieved by using the asymmetric pulses without sacrificing inversion efficiency, slice profiles or CBF measurement. |
| 913 | Computer 33
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Towards reproducible Arterial Spin Labelling in the myocardium: Impact of blood T1 time and imaging readout parameters |
| Masa Bozic-Iven1,2, Stanislas Rapacchi3, Iain Pierce4, George Thornton4, Qian Tao2, Lothar Schad1, Thomas Treibel4, and Sebastian Weingaertner2 | ||
1Computer Assisted Clinical Medicine, University Heidelberg, Mannheim, Germany, 2Delft University of Technology, Delft, Netherlands, 3University Aix-Marseille, Marseille, France, 4Barts Heart Centre, London, United Kingdom |
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Despite promising results, clinical translation of myocardial arterial spin labelling (myoASL) is hampered by insufficient reproducibility and robustness. We investigated the influence of physiological and sequence parameters on FAIR-myoASL in simulations as well as phantom experiments, and developed a correction method based on separately acquired T1 maps. Our simulation and phantom results show acquisition related MBF differences, potentially undermining the reproducibility of myoASL measurements. Inaccuracies between true and reconstruction blood T1, further render the sequence susceptible to heart rate variations, particularly for larger T1 mismatch. Using accurate blood T1 times in reconstruction may improve robustness and reproducibility. |
| 914 | Computer 34
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The Open Science Initiative for Perfusion Imaging (OSIPI): ASL Code Library |
| María Guadalupe Mora Álvarez1, Li Zhao2, Sudipto Dolui3, Manuel Taso4, Yiming Wang5, Limin Zhou5, Ze Wang6, Azeez Adebimpe7, Henk Mutsaerts8, and Ananth J. Madhuranthakam5 | ||
1Department of Diagnostic and Interventional Neuroradiology, Technical University Munich (TUM), Munich, Germany, 2College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China, 3Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States, 4Division of MRI Research, Department of Radiology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, United States, 5Department of Radiology, UT Southwestern Medical Center, Dallas, TX, United States, 6Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, United States, 7Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, United States, 8Amsterdam University Medical Center, Amsterdam, Netherlands |
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Task force 2.2 of the Open Science Initiative for Perfusion Imaging (OSIPI) is developing a library of open-source functions, and scripts for Arterial Spin Labeled (ASL) perfusion imaging preprocessing and analysis. This is aimed for developers of ASL perfusion methods looking for specific functionalities or development templates, or who want to share their own in-house code with others. The collected source code will be organized and documented so as to support the open library development. |
| 1002 | Computer 9
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Alignment and joint recovery of multi-slice free-breathing cardiac cine using manifold learning |
| Qing Zou1, Abdul Haseeb Ahmed1, Prashant Nagpal2, Sarv Priya1, Rolf F. Schulte3, and Mathews Jacob1 | ||
1University of Iowa, Iowa City, IA, United States, 2University of Wisconsin–Madison, Madison, WI, United States, 3GE Global Research, Munich, Germany |
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Free-breathing cardiac cine methods are needed for pediatric and chronic obstructive pulmonary disease (COPD) subjects. Multi-slice acquisitions can offer good blood-myocardium contrast, and hence preferred over 3D methods. Current approaches independently recover the slices, followed by post-processing to combine data from different slices. In this work, a deep manifold learning scheme is introduced for the joint alignment and reconstruction of multi-slice dynamic MRI. The proposed scheme jointly learns the parameters of the deep network as well as the latent vectors for each slice, which captures the motion induced dynamic variations, from the k-t space data of the specific subject. |
| 1003 | Computer 10
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Individualized arterial spin labeling background suppression by rapid T1 mapping during acquisition |
| Thomas Lindner1, Friederike Austein1, Helena Guerreiro1, and Jens fiehler1 | ||
1Department of Diagnostic and Interventional Neuroradiology, University Hospital Hamburg-Eppendorf, Hamburg, Germany |
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This work presents a method of rapidly acquiring a T1 map to optimize background suppression in Arterial Spin Labeling to improve the signal-to-background contrast. |
| 1004 | Computer 11
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3D joint T1/T1ρ mapping and water-fat imaging for contrast-agent free myocardial tissue characterization |
| Michael G Crabb1, Karl P Kunze1,2, Carlos Velasco1, Anastasia Fotaki1, Camila Munoz1, Alina Hua1, Radhouene Neji1,2, Claudia Prieto1, and Rene M Botnar1 | ||
1School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 2MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom |
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In patients with suspected myocardial infarction, late-gadolinium enhancement (LGE) images are often acquired to detect focal and diffuse scarring. T1ρ is a sensitive marker for assessment of macromolecular-water interaction and has shown potential for non-contrast enhanced imaging of fibrosis. Here we propose a novel free-breathing, 3D whole-heart joint T1/T1ρ mapping sequence with Dixon encoding to provide 3D T1 and T1ρ maps and co-registered water and fat volumes with isotropic resolution for comprehensive contrast-agent free myocardial tissue characterization. Preliminary 3D joint T1/T1ρ mapping and water/fat imaging results demonstrate good agreement in phantoms and promising results in-vivo in healthy volunteers and patients. |
| 1005
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Computer 12
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Free-running 3D T1 and T2 myocardial mapping and cine MRI in 3 mins using low-rank non-rigid motion-corrected reconstruction |
| Andrew Phair1, Gastao Cruz1, Haikun Qi2, René Botnar1, and Claudia Prieto1 | ||
1School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 2School of Biomedical Engineering, Shanghai Tech University, Shanghai, China |
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Recent work has enabled the simultaneous acquisition of 3D myocardial T1 and T2 maps with isotropic spatial resolution and cardiac cine images from a ~10-minute scan. Herein, we propose to incorporate non-rigid cardiac motion correction into a dictionary-based low-rank reconstruction scheme, allowing k-space data from all cardiac phases to be included in the reconstruction of any given phase. Reconstructed cine images and T1 and T2 maps with and without motion correction are presented and demonstrate that a reduction to 30% of the acquired k-space data (~3-minute scan) can be achieved while image quality is maintained. |
| 1006 | Computer 13
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A New MRI acquisition method for quantitative myocardial oxygen extraction imaging |
| Jie Zheng1,2, Ran Li1,2, Cihat Eldeniz1, Thomas H Schindler1, Linda R Peterson3, and Pamela K Woodard1,2 | ||
1Mallinckrodt Institute of Radiology, Washington University in St. Louis, Saint Louis, MO, United States, 2Department of Biomedical Engineering, Washington University in St. Louis, Saint Louis, MO, United States, 3Department of Medicine, Cardiovascular Division, Washington University in St. Louis, Saint Louis, MO, United States |
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A previously developed MRI method for quantitative myocardial oxygen extraction mapping showed promising results, but image quality suffered from distortion and low in-plane resolution. Therefore we developed a new image acquisition method which both doubled the in-plane spatial resolution and corrected image distortion and tested it in healthy subjects. Reproducibility studies showed comparable results between the two methods. Rigorous animal and/or human validation studies are warranted to study its translational potential in the assessment of patients with myocardial metabolic dysfunction. |
| 1007 | Computer 14
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MR chemical exchange saturation transfer study of myocardium creatine dynamic change in an acute infarct porcine model |
| Chuan-Miao Xie1, Jie Liu2, Jia-Lei Zhao2, Qi Liu3, Jian Xu3, Li-Yun Zheng4, Xin Liu2, Hairong Zheng2, and Yin Wu2 | ||
1Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China, 2Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, 3UIH America, Inc., Houston, TX, United States, 4Central Research Institute, United Imaging Healthcare, Shanghai, China |
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This study investigated the dynamic alteration of myocardium creatine in infarct hearts using CEST MRI. Seven pigs underwent cine, Cr CEST and LGE imaging 3 and 14 days after MI. Significant increase of stroke volume and ejection fraction and decrease of infarct angle were observed at day 14 compared to that at day 3. Meanwhile, Cr CEST signals increased significantly in the infarct and its adjacent myocardium, and negatively correlated with infarct angle. The improved metabolic activity was associated with function recovery, indicating that Cr CEST MRI is promising to provide complementary information for heart remodeling at the molecular level. |
| 1008 | Computer 15
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Chemical Shift Artifact Correction for 19F MRI using Spectral Hadamard Encoding |
| Michael Bock1, Serhat Ilbey1, Alexander Maier2, and Ali Caglar Özen1 | ||
1Radiology - Medical Physics, University Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany, 2Cardiology and Angiology I, University Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany |
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Chemical shift artifact correction is achieved via spectral Hadamard encoding of the individual resonances using composite RF pulses. During decoding individual images of the resonances are created that can be combined to a final composite image. The method is demonstrated in 19F MRI of perfluorooctyl bromide that can be used to label monocytes for inflammation. Compared to other correction methods Hadamard decoding can be implemented directly in the image reconstruction, and the full SNR advantage of the image combination can be realized. |
| 1009 | Computer 16
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Dynamic UTE molecular MR imaging targeting pulmonary fibrogenesis in a model of left ventricular dysfunction |
| Brianna F. Moon1,2, Iris Y. Zhou1,2, Yingying Ning1,2, Sergey Shuvaev1,2, Mariane M. Le Fur1,2, Yin-Ching I. Chen1, Eman A. Akam3, Jonah P. Weigand-Whittier1, Nicholas Rotile1,2, Matthew Drummond4, Avery T. Boice1,2, Samantha E. Zygmont1,2, Rod R. Warburton5, Barry L. Fanburg5, Krishna C. Penumatsa5, and Peter D. Caravan1,2 | ||
1Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States, 2Radiology, Institute for Innovation in Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 3Medicine, Division of Cardiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States, 4Medicine, Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States, 5Pulmonary, Critical Care and Sleep Medicine, Tufts Medical Center, Boston, MA, United States |
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Group 2 pulmonary hypertension is a complication of chronic left ventricular dysfunction. During the early stages of the disease activity there is an accumulation of extracellular matrix molecules and an increase in allysine content. Molecular MR imaging with an allysine-targeted fibrogenesis probe shows increased lung-to-muscle ΔCNR within the lungs of transverse aortic constriction (TAC)-induced left ventricular dysfunction animal models compared to control animals, which corresponded to increased lung and right ventricle weight, and elevation of fibrogenesis biomarkers (hydroxyproline and allysine). |
| 1010 | Computer 17
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Performance of Quantitative, Free-breathing 3D Perfusion CMR using Motion-Informed LLR Reconstruction in a Porcine Infarction Model |
| Tobias Hoh1, Valery Vishnevskiy1, Christian T Stoeck1,2, Conny F Waschkies2, Nikola Cesarovic3, Miriam Weisskopf2, Maximilian Fuetterer1, and Sebastian Kozerke1 | ||
1Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland, 2Center of Surgical Research, University Hospital Zurich, University of Zurich, Zurich, Switzerland, 3Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland |
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Three-dimensional first-pass myocardial perfusion CMR requires acceleration methods to enable whole-heart coverage in a limited acquisition window. Current 3D approaches suffer from data inconsistencies during free breathing, compromising image quality and perfusion quantification. We propose and experimentally validate a combination of Cartesian pseudo-spiral k-t undersampling with respiratory motion-informed locally low-rank (MI-LLR) reconstruction for robust whole-heart myocardial quantitative perfusion CMR in an experimental pig model of myocardial infarction. As reference, standard 2D acquisitions are used. Overall, image quality scoring was good. Perfusion defects were equally well depicted and discernible in imaging and MBF perfusion mapping in 3D and 2D approaches, respectively. |
| 1011 | Computer 18
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Clinical evaluation and reproducibility of 3D whole-heart free-breathing joint T1/T2 quantification with isotropic resolution. |
| Carlos Velasco1, Alina Hua1, Anastasia Fotaki1, Camila Munoz1, Giorgia Milotta1, Karl P. Kunze1,2, Radhouene Neji1,2, Tevfik F. Ismail1, Claudia Prieto1, and Rene M. Botnar1 | ||
1School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 2MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom |
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Myocardial tissue characterization including quantification of fibrosis and oedema plays an important role in the evaluation of many myocardial diseases. T1 and T2 maps are typically acquired sequentially in 2D under several breath-holds. However, misregistration artifacts, spatial resolution and volumetric coverage remain a limitation. To address this, a high resolution, 3D whole-heart motion-compensated joint T1/T2 water/fat sequence has been proposed and validated in a phantom and in healthy subjects. Here, we demonstrate the feasibility of the proposed approach to simultaneously acquire whole-heart co-registered T1, T2 maps as well as water and fat volumes in ~9min in patients with cardiovascular disease. |
| 1012 | Computer 19
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MultI-Compartment Model based Parametric Mapping of the Heart with a Single MOLLI Acquisition (MIC-MOLLI) |
| Jing Liu1, Karen Ordovas2, Yan Wang1, Janine Lupo1, Duan Xu1, Yoojin Lee1, Roselle Abraham1, and David Saloner1 | ||
1University of California San Francisco, San Francisco, CA, United States, 2University of Washington, Seattle, WA, United States |
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In this study, we developed a multi-compartment model based method for deriving multi-parametric mapping of the heart from the MOLLI T1 mapping acquisition. The preliminary results on patients with hypertrophic cardiomyopathy demonstrated the feasibility of deriving 9 quantitative parametric maps from a single scan and showed its potential of providing a comprehensive assessment of the myocardial tissue composition. |
| 1013 | Computer 20
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Comparison of T2*-weighted image analysis with quantitative T2* maps in different stages of myocardial infarction in a pig model study with 7T cMRI |
| Julia Aures1, Maxim Terekhov1, David Lohr1, Maya Bille1, Michael Hock1, Ibrahim Elabyad1, Florian Schnitter2, Wolfgang Bauer1,2, Ulrich Hofmann2, and Laura Schreiber1 | ||
1Chair of Molecular and Cellular Imaging, Comprehensive Heart Failure Center, University Hospital Wuerzburg, Wuerzburg, Germany, 2Department of Internal Medicine I, Cardiology, University Hospital Wuerzburg, Wuerzburg, Germany |
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In the field of ultra-high field MRI, T2* mapping is a promising technique for the non-invasive assessment of myocardial pathophysiology. Preclinical studies have already shown the potential to detect structural changes in infarcted myocardial tissue. Quantitative T2* imaging is very demanding with regard to measurement- and postprocessing time. Hence, we compared in this study the simpler and faster grayscale analysis of T2*-weighted images with quantitative T2* techniques. This was done in early and late acute infarct healing stages in a large animal model by comparing T2* maps with grayscale T2*-weighted images. |
| 1014 | Computer 21
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Improving the Sensitivity to Myocardial Scar in Automatic Segmentations of Left Ventricular Myocardium on LGE Images |
| Marc Vornehm1,2, Maximilian Fenski3, Elisabeth Preuhs4, Andreas Maier4, Jeanette Schulz-Menger3, Jens Wetzl1, and Daniel Giese1,5 | ||
1Magnetic Resonance, Siemens Healthcare GmbH, Erlangen, Germany, 2Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany, 3Working Group Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, Charité Medical Faculty, Max Delbrück Center for Molecular Medicine, HELIOS Klinikum Berlin Buch, Department of Cardiology and Nephrology, Berlin, Germany, 4Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany, 5Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany |
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Automatic segmentation of left ventricular myocardium on LGE images of patients with chronic myocardial infarction is challenging due to inhomogeneous signal intensities in the presence of myocardial scar. However, the inclusion of scar in automatically generated myocardium segmentations is critical for further LGE analysis. We propose a Deep Learning-based method for myocardial segmentation on cardiac LGE images, achieving average Dice scores of 0.78 and 0.80 on test images with and without scar, respectively. We furthermore evaluate the network’s sensitivity to scar and show that it can be improved by incorporating synthetic images with diverse enhancement patterns in the training data. |
| 1015 | Computer 22
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Serial in vivo 19F MRI tracks the immune cell response to bioscaffolds implanted in a rat model of stroke |
| Mike Modo1, Harmanvir Ghuman2, Reem Azar2, Ryan Krafty3, Stephen Badylak4, and T. Kevin Hitchens5 | ||
1Radiology, University of Pittsburgh, Pittsburgh, PA, United States, 2Bioengineering, University of Pittsburgh, Pittsburgh, PA, United States, 3Biological Science, University of Pittsburgh, Pittsburgh, PA, United States, 4Surgery, University of Pittsburgh, Pittsburgh, PA, United States, 5Neurobiology, University of Pittsburgh, Pittsburgh, PA, United States |
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Regenerative medicine is increasingly investigating how an initial pro-inflammatory response convert to a pro-repair response. Implantation of bioscaffolds exploits this mechanism and allows tissue to regrow in large defects. Even the brain, which is known to not regrow tissue spontaneously, can regenerate lost tissue after implantation of a inductive bioscaffold. Little is known about how immune cells respond to the implantation of a bioscaffold. We here characterized the acute spatiotemporal dynamics of immune cell infiltration into the brain and a bioscaffold by tagging immune cells with perfluorocarbon nanoemulsions for detection by 19F MRI and anatomical context using 1H MRI. |
| 1016 | Computer 23
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Multimodal apparent diffusion model provides comprehensive analysis of clinical subacute stroke lesions |
| Frederick C. Damen1, Changliang Su2, Burce Ozgen Mocan1, Tibor Vályi-Nagy3, Rifeng Jiang4, and Kejia Cai1,5 | ||
1Radiology, University of Illinois at Chicago, Chicago, IL, United States, 2Medical Imaging, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, China, 3Pathology, University of Illinois at Chicago, Chicago, IL, United States, 4Radiology, Fujian Medical University Union Hospital, Fuzhou, Fujian, China, 5Biomedical Engineering, University of Illinois at Chicago, Chicago, IL, United States |
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We present our initial findings of applying Multimodal Apparent Diffusion (MAD) MRI, including b-values up to 10,000 s/mm2, to analyze subacute stroke lesions for the characterization of stroke lesions based on micro-environment biomarkers in order to guide treatment in clinics. MAD model is able to separate the acquired diffusion weighted signal into flow, and, unimpeded (fluid), hindered, and restricted apparent diffusion components. Significant differences were found in MAD parameters between lesions and normal appearing white matter. Fraction of unimpeded diffusion significantly increased. Hindered diffusion was significantly lower in lesions. On the other hand, restricted diffusion was significantly higher. |
| 1017 | Computer 24
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Association between lesion locations and depressive symptoms in acute stroke patients using voxel-based lesion-symptom mapping |
| Peng Wang1, Jinjing Wang2, Yong Zhang3, Mengmeng Gu4, Shiyi Jiang1, Dawei Yin1, Wen Sun1, and Xinfeng Liu2 | ||
1The First Affiliated Hospital of University of Science and Technology of China, Hefei, China, 2Jinling Hospital, Nanjing, China, 3GE Healthcare, Shanghai, China, 4Nanjing First Hospital, Nanjing, China |
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Post-stroke depression (PSD) is a common neuropsychiatric symptom after stroke. The purpose of this study was to investigate the association between lesion locations of brain stroke and PSD occurrence using Voxel-based Lesion-Symptom Mapping (VLSM). VLSM analysis identified clusters within anterior cingulate gyrus, left hippocampus, left lingual lobe where lesions were significantly associated with PSD. The lesion location showed the promise to be used as an independent risk factor of PSD in patients with acute ischemic stroke. |
| 1018 | Computer 25
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Deep Learning-based Stroke Region Segmentation on Susceptibility Weighted Images in Acute Stroke |
| Ankit Kandpal1, Tanuja Jayas1, Rupsa Bhattacharjee1, Rakesh Kumar Gupta2, and Anup Singh1,3,4 | ||
1Centre for Biomedical Engineering, Indian Institute of Technology, Delhi, New Delhi, India, 2Department of Radiology, Fortis Memorial Research Institute, Gurugram, India, 3Department of Biomedical Engineering, All India Institute of Medical Sciences, New Delhi, India, 4School for Artificial Intelligence, Indian Institute of Technology, Delhi, New Delhi, India |
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SWI plays a critical role in stroke in demonstration of hemorrhagic transformation of stroke and demonstration of thrombus in the intracranial arteries. Recently it has been used to quantify the penumbra in acute stroke. It highlights venous vasculature in acute stroke due to hypoxia in the acute ischemic tissue without the need for any contrast injection and adding additional sequence that results in time penalty. The objective of this study was to develop an automatic framework for penumbra detection using only SWI images. Evaluation of segmentation results shows a dice similarity coefficient of 0.72 and a jaccard index of 0.60. |
| 1107 | Computer 12
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Dynamic Pressure-Volume Loop Analysis using Simultaneous Real-Time Cardiac MRI and Left Heart Catheterization |
| Felicia Seemann1, Christopher G Bruce1, Jaffar M Khan1, Rajiv Ramasawmy1, Amanda Potersnak1, Daniel A Herzka1, Andi Jaimes1, William H. Schenke1, Kendall O’Brien1, Robert J Lederman1, and Adrienne E Campbell-Washburn1 | ||
1Cardiovascular Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States |
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Pressure-volume (PV) loops can be used to derive the valuable cardiac functional parameters contractility and compliance. Conventional PV loop catheters provide unreliable volume measurements. In this study we develop and validate a method to obtain dynamic PV loops during an MRI-guided preload alteration via inferior vena cava occlusion, using simultaneous measurements of left ventricular pressure from a catheter and volume from real-time long-axis cardiac MRI. Pressure and volume signals were synchronized and used to derive contractility and compliance. Long-axis derived volumes were validated against conventional short-axis images. The method was tested in naïve, ischemic cardiomyopathy, and aortic banding swine models. |
| 1108 | Computer 13
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Endogenous assessment of myocardial injuries using T1-rho mapping: comparison to T1 mapping, T2 mapping and late gadolinium enhancement imaging |
| Aurelien Bustin1,2,3, Xavier Pineau2, Soumaya Sridi2, Pierre Jaïs1,4, Matthias Stuber1,3,5, and Hubert Cochet1,2 | ||
1IHU LIRYC, Electrophysiology and Heart Modeling Institute, Université de Bordeaux – INSERM U1045, Bordeaux, France, 2Department of Cardiovascular Imaging, Hôpital Cardiologique du Haut-Lévêque, CHU de Bordeaux, Bordeaux, France, 3Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 4Department of Cardiac Electrophysiology, Hôpital Cardiologique du Haut-Lévêque, CHU de Bordeaux, Bordeaux, France, 5CIBM Center for Biomedical Imaging, Lausanne, Switzerland |
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Myocardial T1-rho (T1ρ) mapping is a promising technique which reveals new insights about the macromolecular content of biological tissues. The idea that T1ρ mapping can be used to quantify myocardial fibrosis without contrast agent opens the door to new clinical capabilities. Yet, the tissue determinants driving T1ρ changes are still unclear, and the applicability of the technique to the broad spectrum of myocardial injuries remains uncharted territory. In the present study, we aim to identify clinical correlates of myocardial T1ρ and to examine how myocardial T1ρ values change under various clinical scenarios. |
| 1109 | Computer 14
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3D whole-heart free-breathing T1⍴ quantification: a preliminary clinical evaluation. |
| Carlos Velasco1, Anastasia Fotaki1, Haikun Qi1, Rene M. Botnar1, and Claudia Prieto1 | ||
1School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom |
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T1⍴-CMR allows the detection of scarred myocardial tissue without the need of an exogenous contrast. However, the generation of a single-slice T1ρ map requires sequential acquisitions under several breath-holds to acquire the T1⍴-weighted images at different spin-lock times, leading to long, inefficient scan times. We recently proposed a free-breathing motion-compensated 3D whole heart T1ρ mapping technique with near-isotropic spatial resolution (1.7×1.7×2 mm3) and predictable and clinically feasible scan In this work time (~8min). Here, we extend this technique to incorporate non-rigid motion corrected reconstruction and validate the proposed technique on subjects with suspected myocardial infarction. |
| 1110 | Computer 15
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Automated black-blood late gadolinium enhancement cardiac imaging through explainable user-independent inversion time selection |
| Aurelien Maillot1, Soumaya Sridi2, Xavier Pineau2, Amandine André-Billeau2, Stéphanie Hosteins2, Marta Nuñez-Garcia1, Maxime Sermesant1,3, Hubert Cochet1,2, Matthias Stuber1,4,5, and Aurelien Bustin1,2,4 | ||
1IHU LIRYC, Electrophysiology and Heart Modeling Institute, Université de Bordeaux – INSERM U1045, Bordeaux, France, 2Department of Cardiovascular Imaging, Hôpital Cardiologique du Haut-Lévêque, CHU de Bordeaux, Bordeaux, France, 3INRIA, Université Côte d’Azur, Sophia Antipolis, France, 4Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 5CIBM Center for Biomedical Imaging, Lausanne, Switzerland |
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Black-blood late gadolinium enhancement (LGE) imaging techniques have been introduced to improve the poor scar to blood contrast of bright-blood LGE, especially for subendocardial myocardial infarction. These techniques heavily rely on the manual selection of the optimal inversion time (TI) for blood nulling which makes them operator-dependent, reduce their reproducibility and decrease clinical workflow efficiency. In this work, we investigate whether an explainable image processing technique can be employed for automated TI selection to enable fully automated black-blood LGE. |
| 1111 | Computer 16
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Model-Based Reconstruction with Automatic Differentiation for Single-Shot Myocardial T1 Mapping using Radial MOLLI with FLASH Readout |
| Xiaoqing Wang1,2, Moritz Blumenthal1, Nick Scholand1,2, and Martin Uecker1,2,3 | ||
1Institute for Diagnostic and Interventional Radiology, University Medical Center Göttingen, Göttingen, Germany, 2German Centre for Cardiovascular Research (DZHK), Partner Site Göttingen, Göttingen, Germany, 3Institute of Medical Engineering, Graz University of Technology, Graz, Austria |
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A nonlinear operator for radial MOLLI is constructed in BART, allowing accurate derivative calculation via automatic differentiation. The constructed nonlinear MOLLI operator is further integrated into a model-based reconstruction framework where myocardial $$$T_{1}$$$ maps are reconstructed directly from undersampled k-space data. Results on an experimental phantom and one healthy subject have demonstrated that high resolution ($$$1.0 \times 1.0 \times 6$$$ mm$$$^{3}$$$) myocardial $$$T_{1}$$$ maps can be achieved within 4 heartbeats with good accuracy and precision using the proposed method. |
| 1112 | Computer 17
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M-Estimator for Robust Parameter Fitting in Quantitative Cardiac T1 Mapping |
| Yidong Zhao1, Changchun Yang1, Lu Huang2, Liming Xia2, Sebastian Weingärtner1, and Qian Tao1 | ||
1Department of Imaging Physics, Technische Universiteit Delft, Delft, Netherlands, 2Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China |
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Quantitative cardiac T1 mapping involves nonlinear parameter estimation after MR acquisition. The widely used minimum mean square error (MMSE) estimator assumes Gaussian additive noise, and can be sensitive to outliers of non-Gaussian nature, such as those caused by cardiac motion. In this work, we propose to apply robust loss functions, which are part of the M-estimator family, with increased robustness to outliers. Experiments on MOLLI and SAPPHIRE sequences showed that the M-estimators were able to improve the T1 estimation robustness, significantly reducing the standard deviation (SD) error of the estimated T1 map in comparison to MMSE. |
| 1113 | Computer 18
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Single breath-hold native myocardial T1 and T2 mapping using SENSE and a 72-channel cardiac receive array. |
| Hugo Klarenberg1, Mark Gosselink2, Tim Leiner2, Bram F. Coolen1, Aart J. Nederveen3, Adrianus J. Bakermans3, Hildo J. Lamb4, S. Matthijs Boekholdt5, Gustav J. Strijkers1, and Martijn Froeling2 | ||
1Physics & Bioengineering, Amsterdam UMC, Amsterdam, Netherlands, 2Radiology, University Medical Center Utrecht, Utrecht, Netherlands, 3Department of Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam, Netherlands, 4Radiology, Leiden University Medical Center, Leiden, Netherlands, 5Cardiology, Amsterdam UMC, Amsterdam, Netherlands |
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Single breath-hold native MOLLI T1 mapping in 3 slices is possible using SENSE=4 & 6 and a 72 channel receive array. T1 values in 16 segments of the 17-segment AHA model (excluding the apical segment) were similar compared to SENSE=2 using 3 breath-holds measured in 20 healthy subjects (10 female). Myocardial T2 GRaSE mapping with fewer breath-holds in 3 slices is possible, though at the expense of decreased accuracy of the T2 values in specific segments. |
| 1114 | Computer 19
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3D super-resolution motion-corrected cardiac T1 mapping |
| Simone Hufnagel1, Selma Metzner1, Christoph Stefan Aigner1, Jeanette Schulz-Menger2,3,4, Tobias Schaeffter1,5,6, and Christoph Kolbitsch1 | ||
1Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany, 2Charité Medical Faculty University Medicine, Berlin, Germany, 3Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center (ECRC), DZHK partner site Berlin, Berlin, Germany, 4Department of Cardiology and Nephrology, HELIOS Klinikum Berlin Buch, Berlin, Germany, 5School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 6Department of Biomedical Engineering, Technical University of Berlin, Berlin, Germany |
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Cardiac T1 mapping provides valuable quantitative information about fibrosis in various cardiac diseases. Due to SNR limitations and the motion of the heart during imaging, often 2D T1 Maps with only low through-plane resolution (i.e. slice thickness of 6-8 mm) can be obtained. We present a model-based super-resolution reconstruction which combines multiple stacks of 2D acquisitions with 6 mm slice thickness and generates 3D high-resolution T1 maps. Cardiac and residual respiratory motion is corrected for. The approach was evaluated in native T1 mapping in three healthy volunteers and provided precise T1 maps with improved visualization of small structures. |
| 1115 | Computer 20
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The importance of optimized post-processing for accurate T1-mapping using shMOLLI: A phantom and in vivo evaluation at 3 T |
| Linnéa Andersson1, Pär-Arne Svensson2, Charlotte De Lange2, and Kerstin Lagerstrand1,3 | ||
1Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Gothenburg, Sweden, 2Department of Paediatric Radiology, Queen Silvia Children's hospital, Sahlgrenska University Hospital, Gothenburg, Sweden, 3Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden |
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We demonstrate the effect of not having relevant post-processing algorithm implemented when using the shMOLLI scan sequence for T1-mapping of myocardium and propose an optimization strategy where we use only the five first acquired images in post-processing. Phantom and in vivo measurements of T1-values in myocardium and blood pool in a pediatric population show the importance of using relevant post-processing: a large heart rate dependence is introduced in estimated T1-values without it. This heart rate dependency can, however, be effectively reduced by using only the five first acquired images in post-processing, resulting in measurements with high accuracy. |
| 1116 | Computer 21
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Consistent and Accurate 3T Cardiac End-Systolic Adiabatic T2-Mapping |
| Ronald J Beyers1 and Thomas Denney1 | ||
1MRI Research Center, Auburn University, Auburn University, AL, United States |
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Cardiac T2-mapping is ideal for assessing myocardial edema resulting from events, such as, acute myocardial infarction, myocarditis and tako-tsubo cardiomyopathy. While many T2mapping sequences exist, most have design shortcuts that degrade their consistency, accuracy and prognostic value. T2maps captured at end-systole (ES) have maximum wall thickness and fewest artifacts and 4-point T2 curve-fits provide good T2 estimates. We present an Adiabatic T2-Prep Mapping sequence that produces accurate 4-point T2maps at ES within a 22-second breath hold at 3T. Pretesting on phantoms and in vivo validation on healthy human volunteers presented superior results. |
| 1117 | Computer 22
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Investigation of Spatial-Spectral Selective Pulses for B1 Compensation and Improved Saturation Homogeneity in Cardiac CEST MRI |
| Cindy Ayala1, Huiwen Luo2, Kevin Godines1, William A. Grissom2, and Moriel Vandsburger1 | ||
1Department of Bioengineering, University of California, Berkeley, Berkeley, CA, United States, 2Biomedical Engineering, Vanderbilt University, Nashville, TN, United States |
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Chemical Exchange Saturation Transfer (CEST) MRI is highly susceptible to B1 inhomogeneities, resulting in inconsistent contrast for tissues with equal metabolite concentrations. To enhance B1-uniformity of saturation across the myocardium, a spectral-spatially selective pulse for CEST preparation was tailored for each subject. Simulations showed the tailored pulse reduced B1 variation from 6.85⁰ to 2.9⁰. These results were investigated on a Siemens 3T Trio scanner by performing full cardiac CEST exams using a conventional Gaussian or a tailored pulse for saturation. The tailored pulse resulted in reduced water and MT contrast variation across the myocardium when compared to the conventional pulse. |
| 1118 | Computer 23
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Translating 3D Whole Heart LGE to Clinical Practice; Early Feasibility Results in a Tertiary UK Centre |
| Nikesh Jathanna1, Kevin Strachan1, Bara Erhayiem1, and Shahnaz Jamil-Copley1 | ||
1Cardiology and Cardiac Surgery, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom |
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Accurately identifying left ventricular fibrosis is paramount for diagnostic, prognostic and procedural reasons. Increasing evidence for the benefit of 3D whole heart imaging in fibrosis identification is emerging. Limitations to integrating 3D whole heart imaging into routine practice include risking suboptimal imaging incumbering diagnostic value. We undertook retrospective quantitative and qualitative analysis of clinically indicated paired 2D and 3D imaging. Quantitative SNRscar and CNRscar-myo analysis was not significantly different and qualitative diagnostic utility was comparable both in patients with ischaemic and non-ischaemic disease. This small study provides evidence for routine usage of 3D whole heart imaging for scar identification. |
| 1119 | Computer 24
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Imaging cardiac purkinje fibers network using ihMT imaging on a clinical 1.5T scanner |
| Julie Magat1,2,3, Marylène Delcey4, Solenn Toupin4, Thomas Troalen4, Lucas Soustelle5, Andreea Hertanu5, Olivier Girard5, Guillaume Duhamel5, and Bruno Quesson1,2,3 | ||
1Université de Bordeaux, U1045, Bordeaux, France, 2IHU LIRYC, Pessac, France, 3INSERM U1045, Pessac, France, 4Siemens Healthcare SAS, Saint-Denis, France, 5Aix Marseille Univ, CNRS, CRMBM, Marseille, France |
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The Purkinje fiber network (PF) enables electrical impulses throughout the heart and initiate cardiac contraction. To characterize this network in 3D is of high importance to better understand cardiac arrhythmia mechanisms. This preliminary work performed at 1.5T using a high-resolution coil aims to evaluate the inhomogeneous Magnetization Transfer imaging method to visualize PF and differentiate them from the myocardium in a clinical setup. For the first time we obtained an ihMT contrast between a conductive fiber and myocardium at 1.5T on ex vivo sample with an isotropic resolution of 500 µm. |
| 1120 | Computer 25
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Static and dynamic parallel transmission (pTx) for human cardiac MRI at 14.0 T |
| Bilguun Nurzed1, Thomas Wilhelm Eigentler1,2, Christoph Stefan Aigner3, Sebastian Schmitter3, and Thoralf Niendorf1,4,5 | ||
1Berlin Ultrahigh Field Facility (B.U.F.F.), Max-Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany, 2Technische Universität Berlin, Chair of Medical Engineering, Berlin, Germany, 3Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany, 4MRI.TOOLS GmbH, Berlin, Germany, 5Experimental and Clinical Research Center (ECRC), a joint cooperation between the Charité Medical Faculty and the Max-Delbrück Center for Molecular Medicine, Berlin, Germany |
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Transmission field inhomogeneities at ultrahigh and extreme field MRI can be offset by using static or dynamic pTx. Responding to the challenges and recognizing the opportunities of cardiac MRI, this abstract examines the feasibility of parallel transmission (pTx) using fractionated dipole (FRD) RF array configurations for static and dynamic B1+ homogenization of the heart at 7.0T and 14.0T. Our results reveal that static pTx provides limited performance at 14.0 T but dynamic pTx enables uniform excitation of the heart at 14.0T. This finding is heartening and provides the technical foundation for explorations into cardiac MRI at 14.0T. |
| 1121 | Computer 26
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Derivation of clinically significant low-frequency oscillations in resting-state BOLD fMRI data as a novel marker of endothelial dysfunction |
| James Thomas1, Peter Jezzard1, and Alastair Webb1 | ||
1University of Oxford, Oxford, United Kingdom |
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We tested whether clinically-relevant, vascular-origin low frequency oscillations (LFOs) in 0.05–0.15 Hz could be derived on routinely-acquired resting-state BOLD-fMRI to determine their potential as a marker of vascular dysfunction in cerebral small vessel disease. Our case control study in 840 UK Biobank participants showed a statistically significant increase in LFOs in the arterial vessels of participants with high white matter hyperintensities, consistent with greater transmission of arterial blood pressure to the cerebral circulation in subjects with increased arterial stiffness. LFOs could provide a practical measure, applicable to large datasets and clinical practice, as an index of intracerebral vascular dysfunction. |
| 1122 | Computer 27
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White matter hyperintensities and their dynamic nature: diffusion MRI analysis of white matter hyperintensity regression |
| Angela CC Jochems1,2, Susana Muñoz Maniega1, Una Clancy1,2, Daniela Jaime Garcia1,2, Stewart Wiseman1,2, Gordon W Blair1, Rosalind Brown1,2, Ellen V Backhouse1,2, Carmen Arteaga1,2, Will Hewins1,2, Eleni Sakka1,2, Agniete Kampaite1,2, Michael S Stringer1,2, Michael J Thrippleton1,2, Mark E Bastin1, Maria Valdés Hernández1,2, Ian Marshall1, Fergus N Doubal1,2, and Joanna M Wardlaw1,2 | ||
1Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom, 2UK Dementia Research Institute, University of Edinburgh, Edinburgh, United Kingdom |
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White matter hyperintensities (WMH) have been shown to progress over time but they might regress too. Little is known about the regression of WMH as the main focus has been on progression. We investigate WMH regression and their dynamic properties using diffusion MRI. Areas of WMH change, both progression and regression, might have different tissue integrity properties than areas that are more stable, i.e. stable normal-appearing white matter (NAWM), become more hyperintense, or stable WMH. Mean diffusivity and peak width of skeletonized mean diffusivity (PSMD) might be most sensitive to subtle integrity changes before they become visible on structural MRI. |
| 1123 | Computer 28
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DTI-defined structural integrity metrics of the functionally-defined dentatothalamocortical pathway are related to disability |
| Jacqueline Chen1, Ajay Nemani1, Xuemei Huang1, Xin Li1, Kyle O'Laughlin1, Ela Plow1, Kenneth B Baker1, Mark J Lowe1, Stephen E Jones1, and Andre G Machado1 | ||
1Cleveland Clinic, Cleveland, OH, United States |
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Prior to the implantation of brain stimulating electrodes, it would be valuable to have an estimation of the severity of pre-existing injury to the pathways of interest. In chronic stroke patients, we used resting-state functional MRI and transcranial magnetic stimulation (TMS) to identify functionally connected regions of the dentatothalamocortical pathway. We found that diffusion tensor imaging metrics of the tract connecting thalamus to the hand-motor hotspot were significantly correlated with hand function. These results suggest that this non-invasive functional/structural MRI/TMS approach can provide pathway-specific injury metrics that may be useful as part of a pre-surgical evaluation. |
| 1124 | Computer 29
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Characterizing Brain Structural Differences in Hemodialysis Patients using MAP MRI |
| Wesley Thomas Richerson1, Brian Schmit1, and Dawn Wolfgram2 | ||
1Biomedical Engineering, Marquette Medical College of Wisconsin, Milwaukee, WI, United States, 2Department of Medicine, Medical College of Wisconsin, Wauwatosa, WI, United States |
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We collected brain MRI data using a custom, advanced diffusion sequence as well as typical T1 and T2 FLAIR anatomical images to characterize the differences between controls and Hemodialysis (HD) patients in a pilot study. We found decreased gray matter volume and thickness as well as increased white matter hyperintensity lesion volume in HD patients. Using the Mean Apparent Propagator technique, we found increased gray and white matter mean square displacement, white matter q space inverse variance and return to plane probability. |
| 1125 | Computer 30
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Deep Learning Based Mask Generation Tools for QSM |
| Gawon Lee1, Ji Wan Son1, Ken SaKaie2, Woojin Jung3, and Se-hong Oh1,2 | ||
1Division of Biomedical engineering, Hankuk University of Foreign Studies, Yongin-si, Gyeonggi-do, Korea, Republic of, 2Imaging institute, Cleveland Clinic Foundation, Cleveland, OH, United States, 3AIRS Medical, Seoul, Korea, Republic of |
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Even subtle differences in masks can generate systematic but avoidable errors in QSM calculations. We believe these errors propagate through the calculation of the background phase. In this work, we assessed the effect of the mask on the QSM, selected optimal mask generation method and Deep Learning-based efficient mask generation method for in-vivo has been presented. This study represents the first step towards a fully-automated and optimal workflow for QSM calculation. |
| 1126 | Computer 31
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Quantitative Susceptibility Mapping and R2* Mapping Suggest Demyelination in Silent Cerebral Infarcts in Sickle Cell Anaemia |
| Russell Murdoch1, Hanne Stotesbury2, Jamie Kawadler2, Dawn Saunders2, Fenella Kirkham2, and Karin Shmueli1 | ||
1Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 2Imaging and Biophysics, Developmental Neurosciences, UCL Great Ormond Street Institute of Child Health, London, United Kingdom |
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To investigate the composition of silent cerebral infarcts (SCI) in sickle cell anaemia (SCA), we compared the magnetic susceptibility (χ) and transverse relaxation rates (R2*) of segmented SCI lesions to |
| 1127 | Computer 32
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Preservation of Brain Oxygen Metabolism in Emerging Young Adult Survivors of Fontan Palliation for Single Ventricle. |
| Jian Shen1, Silvie Suriany2, Clio Gonzalez-Zaccarias3, Botian Xu1, Ashok Panigraphy4, Jon Detterich2, and John C Wood5 | ||
1Bioengineering, University of Southern California, Los Angeles, CA, United States, 2Children's Hospital of Los Angeles-USC KSOM, Los Angeles, CA, United States, 3Neurosciences, University of Southern California, Los Angeles, CA, United States, 4Radiology, Children's Hospital Pittsburgh, Pittsburgh, PA, United States, 5Pediatrics, Children's Hospital of Los Angeles-USC KSOM, Los Angeles, CA, United States |
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Surgical palliation of single ventricular heart disease (Fontan procedure) leads to poor cardiac output, high central venous pressures, and long-term multiorgan morbidity. We report cerebral blood flow, brain oxygen delivery, and cerebral metabolic rate in 20 Fontan survivors and 9 control subjects. Fontan patients had lower cerebral blood flow and oxygen saturation but maintained cerebral oxygen delivery and cerebral metabolic rate of oxygen (CMRO2) because of polycythemia. Scattergram between CMRO2 and O2 delivery suggests similar oxygen extraction at the microvascular level in both groups. Taken together, these data suggest adequate cerebrovascular compensation to low cardiac output in Fontan patients. |
| 1128 | Computer 33
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Neurogenic metabolites after intravenous autologous stem cells infusion in Stroke: a high resolution NMR spectroscopic analysis of human sera |
| Ashu Bhasin1, Pawan Kumar2, S Senthil Kumaran2, Sujeet Mewar2, and MV Padma Srivastava1 | ||
1Department of Neurology, All India Institute of Medical Sciences, New Delhi, India, 2Department of NMR and MRI Facility, All India Institute of Medical Sciences, New Delhi, India |
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High resolution NMR spectroscopy to study the neural and cellular metabolites from serum samples of 14 chronic stroke patients after autologous bone marrow derived mononuclear stem cells and neurorehabilitation using 700 MHz NMR spectrometer. The data were processed using the Agilent software, Vnmrj2.3A. PLS-DA multivariate analysis was performed to explore biochemical shifts and upregulation between patients with stem cell infusion and controls. Using MetaboAnalyst (3.0) software, we observed elevated levels of myoinositol, choline, NAA, ML in one group 1 as compared to group 2 (groups undisclosed). |
| 1129 | Computer 34
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Evaluating of Deep Brain Nuclei Iron Deposition in Primary Grade 1 Hypertension Patients by QSM: A Preliminary Study |
| Shiyun Zhang1, Kunhua Wu2, Guoli Bi2, Shaoyu Wang3, Yunzhu Wu3, Guoqing Xie4, and Qian Wang4 | ||
1Dali university, Dali, China, 2The First People's Hospital of Yunnan Province, Kunming, China, 3MR Scientific Marketing, Siemens Healthineers, Shanghai, China, 4Kunming University of Science and Technology, Kunming, China |
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Hypertension is becoming a common health problem all over the world. In this study, Quantitative Susceptibility Mapping (QSM) was used to compare the differences of iron deposition in deep brain nuclei between 28 primary grade 1 hypertension (PG1H) patients and 28 age-sex-matched healthy controls (HC). The results showed that the iron deposition in six deep brain nuclei ROIs were higher in PG1H than in HC. This study laid a foundation for exploring the relationship between the hypertension severity and iron deposition in deep brain nuclei. It was also of great significance for clinical exploration of the physiological and pathological mechanism of hypertension and the correct selection of the treatment scheme of hypertension. |
| 1215 | Computer 11
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Altered neurovascular coupling in patients with MELAS evaluated by combining cerebral blood flow and regional homogeneity |
| Rong Wang1, Yuxin Li1, Jie Lin1, and Yong Zhang2 | ||
1Huashan Hospital, Shanghai, China, 2GE Healthcare, Shanghai, China, Shanghai, China |
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This is the first study that used a combined arterial spin labeling (ASL) and resting-state fMRI approach to assess the neurovascular coupling in patients with mitochondrial myopathy, encephalopathy, lactic acidosis and stroke-like episodes (MELAS), which may provide a new mechanistic perspective into understanding numerous brain diseases. |
| 1216 | Computer 12
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Non-invasive assessment of blood-brain barrier permeability in multiple sclerosis patients by arterial spin labeling. |
| Andre Monteiro Paschoal1, Mateus Boaventura1, Leonie Petitclerc2, Matthias J.P. van Osch2, Maria Concepcion Garcia Otaduy1, Samira Luisa Apostolos-Pereira3, Dagoberto Callegaro3, and Carolina de Medeiros Rimkus1 | ||
1Institute of Radiology and Department of Radiology and Oncology, University of Sao Paulo, Sao Paulo, Brazil, 2C.J. Gorter Center for high field MRI, Department of Radiology, Leiden University Medical Center, Leiden, Netherlands, 3Departamento de Neurologia, Hospital das Clinicas da Faculdade de Medicina, University of Sao Paulo, Sao Paulo, Brazil |
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Multiple sclerosis is a demyelinating disease affecting the central nervous system. Although MS lesions can be identified by conventional MRI, the evaluation of active lesions in normal appearing gray and white matter requires measures of blood-brain barrier permeability (BBB), which is commonly assessed through the dynamic contrast enhanced (DCE) acquisition. When repeated scans are needed in the MS patients follow-up, repeated gadolinium injection is not recommended. This study successfully showed the feasibility of advanced arterial spin labeling sequences as an alternative to evaluate BBB permeability, whose results of water-exchange times across the BBB were in agreement with DCE measurements. |
| 1217 | Computer 13
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Implementation of non-invasive Filter-Exchange Imaging (FEXI) to measure blood-brain barrier water exchange in the rat brain |
| Yolanda Ohene1,2, Elizabeth Powell3,4, Samo Lasič5,6, Geoff J. M Parker3,7,8, Laura M Parkes 1,2, and Ben R Dickie 2,9 | ||
1Division of Neuroscience and Experimental Psychology, University of Manchester, Manchester, United Kingdom, 2Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, United Kingdom, 3Centre for Medical Image Computing, UCL, London, United Kingdom, 4Department of Computer Science, UCL, London, United Kingdom, 5Danish Research Centre for Magnetic Resonance, Copenhagen University Hospital Amager and Hvidovre, Copenhagen, Denmark, 6Random Walk Imaging, Lund, Sweden, 7Department of Medical Physics and Biomedical Engineering, UCL, London, United Kingdom, 8Bioxydyn Limited, Manchester, United Kingdom, 9Division of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, United Kingdom |
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We have developed a preclinical FEXI sequence optimised to measure water exchange across the blood-brain barrier in the rat brain. Simulated synthetic data estimated an apparent exchange rate (AXR) of 1.22 s-1, using the in-vivo acquisition parameters and exchange rate constant = 2.5 s-1, reflecting in-vivo measurements. The experimental normalised AXR in the rat brain was measured at 3.34 ± 1.14 s-1 (scan) and 3.62 ± 0.96 s-1 (rescan), with CoV = 26%, n = 10. This technique is a promising non-invasive tool which can be applied to in a wide range of disease models, including neurodegeneration, stroke and neuroinflammation. |
| 1218 | Computer 14
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Improved visualization of intracranial peripheral arteries with multiple 2D slice ASL-MRA and super-resolution |
| Yuriko Suzuki1, Peter Jezzard1, Ioannis Koktzoglou2,3, and Thomas Okell1 | ||
1Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom, 2Department of Radiology, NorthShore University HealthSystem, Evanston, IL, United States, 3Pritzker School of Medicine, University of Chicago, Chicago, IL, United States |
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In recent years, magnetic resonance angiography (MRA) using arterial spin labeling (ASL) technique has been developed aiming to be a non-invasive potential alternative to X-ray angiography. When blood flow is slow (e.g. in elderly patients, especially with steno-occlusive diseases), however, ASL-MRA suffers from poor vessel visualization, which hinders its clinical utility in those patients. In this study, instead of using a 3D volume acquisition commonly used in brain MRI, we propose to separately scan multiple 2D slices to reduce the saturation of arterial blood signal and improve the visualization of small peripheral arteries, in combination with a super-resolution reconstruction. |
| 1219 | Computer 15
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Cerebrovascular brain-age |
| M.B.J. Dijsselhof1, M. Barboure1, M. Stritt2, W. Nordhøy3, A.M. Wink1, L.T. Westlye4,5,6, J.H. Cole7, F. Barkhof1,8, J. Petr9, and H.J.M.M. Mutsaerts1 | ||
1Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Amsterdam, Netherlands, 2Mediri GmbH, Heidelberg, Germany, 3Department of Diagnostic Physics, Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway, 4Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo & Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway, 5Department of Psychology, University of Oslo, Oslo, Norway, 6KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway, 7Dementia Research Centre, Queen Square Institute of Neurology; Centre for Medical Image Computing, University College London, London, United Kingdom, 8Queen Square Institute of Neurology and Centre for Medical Image Computing, University College London, London, United Kingdom, 9Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany |
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The structural brain-age makes predictions based on changes in tissue integrity. Adding cerebrovascular MRI biomarkers may add sensitivity to physiological and metabolic changes, hence complementing structural brain-age, and possibly improving its early pathology sensitivity. Baseline and follow-up T1w, FLAIR, and ASL data of 233 healthy participants and combinations of features and algorithms were used to predict ‘Cerebrovascular brain-age’. The ExtraTrees algorithm utilising T1w, ASL, and FLAIR features performed best and showed good longitudinal reproducibility. |
| 1220 | Computer 16
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Novel arterial spin labelling (ASL) brain injury symmetry assessment in retired professional athletes: a preliminary study |
| Ethan Danielli1,2, Beatriz Padrela3, Mitchell Doughty1,2, Jan Petr4, Henk Mutsaerts3,5, and Michael D Noseworthy1,2,6 | ||
1School of Biomedical Engineering, McMaster University, Hamilton, ON, Canada, 2Imaging Research Centre, St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada, 3Radiology and Nuclear Medicine, Amsterdam University, Amsterdam, Netherlands, 4Institute of Radiopharmaceutical Cancer Research, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany, 5Ghent Institute for Functional and Metabolic Imaging, Ghent University, Ghent, Belgium, 6Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON, Canada |
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3D PCASL scans were acquired for seventeen aging, retired professional football players with a history of head traumas. Left, right and bilateral CBF and ASL spatial coefficient of variation (sCoV) values were examined for twelve concussion-related ROIs. A Z-scoring approach was applied, with outliers defined as mild, moderate, or severe injury burden (IB). An IB symmetry index was also calculated. Outliers were detected in all 12 ROIs, and the anterior parahippocampal gyrus and inferior frontal gyrus pars opercularis had the highest CBF and ASL sCoV IB, respectively. IB was not biased towards the left or right hemisphere. |
| 1221 | Computer 17
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The Value of 3D arterial spin labeling in early diagnosis and prognostic grouping of Full-Term neonatal hypoxic-ischemic encephalopathy |
| Chang Liu1 and Zhang Yong2 | ||
1Department of Radiology, Southern District, The First Affiliated Hospital of USTC, Division of Life, HEFEI, China, 2MR Research,GE Healthcare,Shanghai,China, Shanghai, China |
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3D-ASL technology can reflect cerebral blood flow perfusion status,which is helpful for early diagnosis of HIE.The predictive value of ASL for the prognosis of full-term HIE patients is higher than that of DWI. |
| 1222 | Computer 18
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Oxygen Extraction Fraction is higher in elderly participants with a higher cardiovascular disease risk; a combined QSM and ASL study |
| John McFadden1, Julian Matthews1, Lauren Scott1, Karl Herholz1, Ben Dickie2,3, Hamied Haroon1, Oliver Sparasci1,4, Saadat Ahmed1, Natalia Kyrtata1,5, Geoffrey JM Parker6,7, Hedley C A Emsley1,8,9, Maélène Lohezic10, and Laura M Parkes1,3 | ||
1Division of Neuroscience and Experimental Psychology, University of Manchester, Manchester, United Kingdom, 2Division of Informatics, Imaging and Data Science, University of Manchester, Manchester, United Kingdom, 3Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Manchester, United Kingdom, 4Greater Manchester Mental Health NHS Foundation Trust, Manchester, United Kingdom, 5University Hospital of Morecambe Bay NHS Foundation Trust, Lancaster, United Kingdom, 6Centre for Medical Image Computing, University College London, London, United Kingdom, 7Bioxydyn Limited, Manchester, United Kingdom, 8Lancaster Medical School, Lancaster University, Lancaster, United Kingdom, 9Department of Neurology, Lancashire Teaching Hospitals NHS Foundation Trust, Preston, United Kingdom, 10GE Healthcare, Manchester, United Kingdom |
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We investigated quantitative susceptibility mapping (QSM) and arterial spin labelling (ASL) to measure cerebrovascular parameters in elderly people with a range of vascular disease risk (QRisk) and cognitive impairment. Cerebral blood flow (CBF) and arterial transit time (ATT) were derived from ASL and oxygen extraction fraction (OEF) from QSM. Regional estimates were obtained by matching six large veins to their draining territories. QRisk had a significant positive relationship with ATT. OEF had a significant compensatory increase with altered ATT and CBF. Both OEF and ATT were found to be elevated with impaired cognition. |
| 1223 | Computer 19
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Comparing Single and Multiple Delays methods for ASL Perfusion Quantification on Pediatric Neuroimaging |
| Moss Y Zhao1, Kristen Yeom1, Elizabeth Tong1, Rui Miguel Duarte1,2, Michael Moseley1, and Greg Zaharchuk1 | ||
1Department of Radiology, Stanford University, Stanford, CA, United States, 2Department of Neuroradiology, Hospital Beatriz Ângelo, Lisbon, Portugal |
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This study compared the CBF measurements using single and multiple delay ASL on 28 children without neurological or cerebrovascular disorders. Results showed that CBF of multiple delay ASL was significantly higher than the values of single delay ASL by a mean of 18%. CBF of both ASL techniques increased with age. |
| 1224 | Computer 20
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Quantitative functional brain mapping imaging using Arterial Spin Labelling for safe neurosurgery |
| Giannina Rita Iannotti1,2, Isaure Nadin1, Quentin Tourdot3, Shahan Momjian1, Karl Schaller1, Karl Lovblad2, and Frédéric Grouiller4,5 | ||
1Department of Neurosurgery, University Hospital of Geneva, Geneva, Switzerland, 2Department of Radiology and Medical Informatics, University Hospital of Geneva, Geneva, Switzerland, 3Faculty of Pharmacy, University of Montpellier, France, Montpellier, France, 4Laboratory of Behavioral Neurology and Imaging of Cognition, Department of Fundamental Neuroscience, University of Geneva, Geneva, Switzerland, 5Swiss Center for Affective Sciences, University of Geneva, Geneva, Switzerland |
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Brain functional mapping is fundamental in pre-surgical workflow to target areas to be preserved. This work aims at validating ASL as alternative to BOLD to map eloquent cortex, by offering a quantitative measure of the perfusion associated to neuronal activity. Thirty healthy subjects underwent TMS motor mapping and executed a clenching-motor-task in a 3T-MR-scanner, while ASL and BOLD volumes were acquired simultaneously. The comparison between the global maxima of BOLD and ASL activations revealed that ASL localizes significantly deeper and more anteriorly than BOLD. ASL global maximum was found closer than BOLD to the most representative point of TMS mapping. |
| 1225 | Computer 21
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Shear-rate values in the carotid bifurcation in subjects with carotid webs, subjects with atherosclerotic lesions, and healthy subjects. |
| Retta El Sayed1,2, Alireza Sharifi2, Charlie Park2, Diogo Haussen3, Jason Allen1,2,3, and John N Oshinski1,2 | ||
1Department of Biomedical Engineering, Georgia Institute of Technology & Emory University, Atlanta, GA, United States, 2Department of Radiology & Imaging Sciences, Emory University, Atlanta, GA, United States, 3Department of Neurology, Emory University, Atlanta, GA, United States |
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Carotid webs (CaWs) have been linked to cryptogenic strokes and therefore quantifying different hemodynamic parameters is essential to understand the mechanism of clot formation in patients. Computational fluid dynamics (CFD) based on patient-specific geometry and PCMR inlet flow conditions was conducted on five subjects with CaWs, five subjects with mild atherosclerosis (with a similar degree of luminal narrowing), and three healthy control subjects. The total area within the carotid bifurcation that contained low shear rate values associated with clot formation is significantly larger in CaW subjects compared to subjects with atherosclerotic lesions or healthy subjects. |
| 1226 | Computer 22
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Repeatability and reliability of 2D phase-contrast and 4D flow MRI when measuring cerebral arterial and venous pulsatility |
| Alasdair Graeme Morgan1, Michael Graeme Thrippleton1, Ning Jin2, Joanna Wardlaw1, and Ian Marshall1 | ||
1Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom, 2Siemens Medical Solutions USA, Inc., Cleveland, OH, United States |
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We examined the test-retest repeatability and intraobserver reliability of 4D flow MRI while assessing the pulsatility and flow rates of a variety of cerebral arteries and veins in healthy volunteers. A subset of these vessels were also measured using 2D phase-contrast MRI, a more established method, to assess the level to which the lower-resolution (but higher-coverage) 4D method could compare to its 2D counterpart. Flow pulsatility appears to play a role in the development of cerebral small vessel disease and so testing the capabilities of 4D flow in this context is an important step before applying it to clinical studies. |
| 1227 | Computer 23
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3D-Simulation of Flowing Spins using the Lattice Boltzmann Method with Maxwell Diffuse Reflection Boundaries |
| Ansgar Adler1, Philip Schaten2, Yong Wang3, and Martin Uecker4 | ||
1Insitut of Medical Engineering Graz, Graz, Austria, 2Institut Diagnostic and Interventional Radiologie, Göttingen, Germany, 3Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany, 4Institut of Medical Engineering, Graz, Austria |
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The lattice Boltzmann method (LBM) is a powerful technique to simulate complex fluid dynamical systems. The extension of the LBM to flow with a spin degree of freedom in external magnetic fields has shown promising results in 2D. Here, we describe first 3D numerical results utilizing extended kinetic-theory based boundary conditions. The simulation of a laminar pipe flow is verified on the Pouiseuille flow and shown to be able to predict signal changes caused by in-flow effects as expected from previous flow experiments. |
| 1228 | Computer 24
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Wall shear stress in abdominal aortic aneurysms: a 4D Flow MRI case-control study |
| Chiara Trenti1,2, Magnus Ziegler1,2, Niclas Bjarnegård1, Tino Ebbers1,2, Marcus Lindenberger1,3, and Petter Dyverfeldt1,2 | ||
1Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden, 2Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden, 3Department of Cardiology, Linköping University Hospital, Linköping, Sweden |
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Current guidelines for risk stratification of abdominal aortic aneurysm are based on vessel diameter and are not sufficient to prevent catastrophic events. Wall shear stress based parameters (WSS, OSI and RRT) are potential markers for AAA altered hemodynamics. Here, WSS vectors were computed from 4D flow MRI in the whole aorta of patients with AAA, age-matched elderly controls, and young normal controls. The aorta was divided in five segments and average values were computed in each segment. AAA had lower WSS and higher RRT in the IAA compared to proximal segments and to the age-matched controls, but not higher OSI. |
| 1229 | Computer 25
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Reproducibility of aortic diameter and displacement derived from free-breathing 3D balanced steady-state free precession CINE images at 3T |
| Renske Merton1, Eric M. Schrauben1, Gustav J. Strijkers2, Aart J. Nederveen1, and Pim van Ooij1,3 | ||
1Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Amsterdam, Netherlands, 2Department of Medical Engineering & Physics, Amsterdam University Medical Centers, Amsterdam, Netherlands, 3University Medical Center Utrecht, Utrecht, Netherlands |
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Capturing 3D aortic motion over the heart cycle may give insight into a new biomarker for aortic disease and potentially improve the measurement of aortic hemodynamic parameters. An isotropic, free-breathing, respiratory-corrected 3D CINE balanced steady-state free precession imaging technique of the thoracic aorta was developed to investigate scan-rescan reproducibility of aortic diameter and displacement measures in nine healthy volunteers. Scan-rescan diameter was highly reproducible (CV<10% , ICC=0.85-0.86 and Pearson’s ρ=0.87) while displacement was more variable (CV=34-42%, ICC=0.34-0.50, ρ=0.59-0.72). These results are encouraging for future studies investigating aortic motion in health and aortopathy. |
| 1230 | Computer 26
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Towards fast but accurate velocity quantification with 3D ultra-short TE phase contrast imaging |
| Katja Degenhardt1, Christoph Stefan Aigner1, Simon Schmidt2,3, Fabian J. Kratzer3, Max Müller4, Armin M. Nagel3,4, Jeanette Schulz-Menger5,6, and Sebastian Schmitter1,2,3 | ||
1Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany, 2Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States, 3Division of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 4Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany, 5Department of Cardiology and Nephrology, Experimental and Clinical Research Center, a joint cooperation between the Charité Medical Faculty and the Max-Delbrueck Center for Molecular Medicine and HELIOS Hospital Berlin Buch, Berlin, Germany, 6DZHK (German Center for Cardiovascular Research), partner site Berlin, Berlin, Germany |
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The aim of this work is to develop and investigate an accurate sequence for MR flow quantification. We utilized a 3D ultra-short echo time (UTE) flow sequence to minimize the displacement artifact that frequently occurs in MR flow imaging. In UTE acquisitions, the position is encoded at the beginning of the readout. Thus, the time difference between velocity encoding and spatial position encoding is minimized. This leads to an improved accuracy of the velocity quantification. The sequence was tested and validated against a reference sequence and a conventional 4D flow sequence in a flow experiment in vitro at 3T. |
| 1231 | Computer 27
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Imaging of aortic valve dynamics: comparison between sub-millisecond MRI and echocardiography |
| Alessandro M Scotti1, Qingfei Luo1, Zheng Zhong2, Noreen T Nazir3, Karen L Xie4, and Xiaohong Joe Zhou1,4,5,6 | ||
1Center for MR Research, University of Illinois at Chicago, Chicago, IL, United States, 2Department of Radiology, Stanford University, Stanford, CA, United States, 3Division of Cardiology, Department of Medicine, University of Illinois at Chicago, Chicago, IL, United States, 4Department of Radiology, University of Illinois at Chicago, Chicago, IL, United States, 5Department of Neurosurgery, University of Illinois at Chicago, Chicago, IL, United States, 6Department of Biomedical Engineering, University of Illinois at Chicago, Chicago, IL, United States |
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The aortic valve dynamics is traditionally examined using ultrasound echocardiography in clinical practice. Recently, a novel MRI technique capable of sub-millisecond temporal resolution, coined get-SPEEDI MRI, was successfully applied to visualize the aortic valve dynamics. We have evaluated both get-SPEEDI and echocardiography on healthy human subjects and found a substantial agreement between both techniques in the characterization of the aortic valve opening and closing phases. The sub-millisecond temporal resolution of get-SPEEDI allows for the measurement of steep AVA variations and the visualization of detailed features that may reflect the cardiac function and physiology. |
| 1302 | Computer 8
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Dynamic BOLD MRI Shows Greater Foot Ischemia and Blunted Reperfusion Following Cuff-Occlusion Challenge in Diabetic Patients with Foot Ulcers |
| Scott J. Edwards1, Jingting Yao2, Marcos Coutinho Schechter1, Maya Fayfman1, Gabriel Santamarina1, Paula Nesbeth1, Vincent Giacalone1, Gerado Blanco1, Rabindra Tirouvanziam1, Jessica Alvarez1, Benjamin Risk1, Ravi Rajani1, and David A. Reiter1 | ||
1Emory University, Atlanta, GA, United States, 2Department of Radiology, Massachusetts General Hospital, Boston, MA, United States |
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Diabetic foot ulcer (DFU) patients often face incomplete wound healing which leads to a long-term state of inflammation and risk of infection. Prolonged wound healing is thought to result in part from impaired tissue perfusion due to microvascular disease. This study applies dynamic blood-oxygenation-level-dependent (BOLD) imaging to quantify reperfusion of tissue after induced occlusion and ischemia in the foot. When compared to a healthy population, DFU patients show an increased ischemic state during cuff occlusion and decreased reperfusion after release. Quantification of cuff-occlusion parameters may assist in the classification of DFUs and be used to predict the prognosis and enhance treatment plan. |
| 1303 | Computer 9
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Investigating the influence of ECG-triggering and respiration strategy on renal perfusion quantification using arterial spin labelling |
| Irène Brumer1, Simon Jonscher1, Indre Gineitaite1, Rebeca Echeverria-Chasco2, Lothar R. Schad1, María Asunción Fernández-Seara2, and Frank G. Zöllner1 | ||
1Computer Assisted Clinical Medicine, Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany, 2Department of Radiology, Clínica Universidad de Navarra, Pamplona, Spain |
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In this study, we investigated the influence of ECG-triggering and respiration strategy choice on renal perfusion. To this end, pCASL data of healthy volunteers was acquired at 3T. Acquisitions and processing followed the PARENCHIMA consensus. Processing consisted of groupwise registration, manual whole kidney segmentation and automated cortex/medulla segmentation. All calculated perfusion values were close to the expected range for healthy individuals. Preliminary results from four subjects suggest the influence of cardiac cycle is negligible and the choice of respiration strategy has little effect on renal perfusion values calculated from pCASL data, however additional data is necessary for more complete evaluation. |
| 1304 | Computer 10
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Exploration of Velocity-Selective Inversion Arterial Spin Labeling for Breast Imaging |
| Mareike Alicja Buck1,2, Simon Konstandin1,3, Nora-Josefin Breutigam1, and Matthias Günther1,2,3 | ||
1Fraunhofer MEVIS, Bremen, Germany, 2University Bremen, Bremen, Germany, 3mediri GmbH, Heidelberg, Germany |
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In this work, the application of velocity-selective inversion ASL in healthy breast tissue is demonstrated for the first time. The measurements show a low measured signal in breast tissue. However, the prominent fat artifacts that appear in the images will need to be addressed in future work. The technique presented here has nonetheless been shown to hold promise in the field of non-invasive breast cancer diagnostics with further development, particularly the inclusion of background suppression to get clear perfusion signal. |
| 1305 | Computer 11
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Impact of breathing induced off-resonance on labeling efficiency in renal Arterial Spin Labeling |
| Manuel Taso1 and David C Alsop1 | ||
1Division of MRI Research, department of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States |
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Renal Arterial Spin Labeling (ASL) is becoming more widely used as a non-invasive technique for measuring renal perfusion and hence renal function. Free-breathing acquisitions with retrospective motion-correction are commonly used as it facilitates workflow and is robust against uncooperative patients. However, PCASL, especially the balanced implementation in which the same net gradient is used for both label and control, has been shown to be sensitive to off-resonance leading to a loss of labeling efficiency. We propose here a pilot study measuring B0 shifts during free-breathing to simulate its impact on free-breathing renal PCASL perfusion imaging. |
| 1306 | Computer 12
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Pulmonary transit time derived from routine perfusion cardiac magnetic resonance scans for non-invasive assessment of hemodynamics |
| Martin Segeroth1, David Winkel1, Shan Yang1, Alexander Sauter1, Jens Bremerich1, Michael Zellweger2, Christian Müller2, and Philip Haaf2 | ||
1Clinic for radiology and nuclear medicine, Universitätsspital Basel, Basel, Switzerland, 2Clinic for cardiology, Universitätsspital Basel, Basel, Switzerland |
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Pulmonary transit time (PTT) derived from routine cardiac magnetic resonance perfusion scans is a robust and easily obtainable noninvasive parameter of hemodynamics. PTT correlates with both LVEF, RVEF and NT-proBNP and could serve as a new global non-invasive parameter with a discriminative character for detecting cardiopulmonary dysfunction. We demonstrate that PTT has a high diagnostic accuracy in terms of exclusion and inclusion of heart failure as assessed by NT-proBNP, even in patients with preserved LVEF and RVEF. |
| 1307 | Computer 13
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Assessment of myocardium native T1 and perfusion using exercise CMR with a novel MRI-compatible supine ergometer |
| Bo He1 and Fabao Gao1 | ||
1Department of Radiology, West China Hospital, Sichuan University, Chengdu, China |
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This study investigated the feasibility of a novel compact MRI-compatible ergometer to evaluate myocardial tissue characteristics and blood flow. The results showed a significant increase in heart rate, RPP, native T1 and MBF by using this ergometer in healthy controls. Our study has shown an excellent reproducibility in measuring free-breathing native myocardial T1, MBF and MPR during exercise. The pilot testing demonstrated that the novel compact MRI-compatible ergometer was successful at inducing a cardiac stress state and can able to characterise exercise physiology at every stage allowing high quality MR imaging during the stress. |
| 1308 | Computer 14
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Clinical evaluation of accelerated wideband cardiac perfusion pulse sequence in stress testing in patients with a CIED |
| Sarah M Schwartz1, Lexiaozi Fan1, Bradley D Allen1, Jeremy D Collins2, Kyungpyo Hong1, James C Carr1, Brandon Benefield1,3, Amit R Patel4, Daniel Kim1, and Daniel C Lee1,3 | ||
1Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, United States, 2Department of Radiology, Mayo Clinic, Rochester, MN, United States, 3Department of Medicine, Division of Cardiology, Northwestern University Feinberg School of Medicine, Chicago, IL, United States, 4Department of Radiology, University of Chicago, Chicago, IL, United States |
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This study evaluates visual scores of image quality (conspicuity, artifact, noise; Likert scale 1[worst]-5[best], 3 acceptable) produced by a wideband cardiac perfusion sequence in patients with CIED and a standard sequence in matching non-device patients in the setting of vasodilated stress perfusion imaging. The median conspicuity scores were not significantly different between wideband (4) and standard (4). While the median artifact score was significantly worse for wideband (4) than standard (5), it was above the acceptable cutoff. The median noise score was significantly better for wideband than standard. Our wideband perfusion sequence produces diagnostically acceptable image quality in CIED patients. |
| 1309 | Computer 15
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Evaluation of Automatic Processing of Quantitative Perfusion Images in Patients with Suspected Coronary Artery Disease |
| Matthew Van Houten1, Xue Feng1, Yang Yang2, Patricia Rodriguez Lozano1, Christopher Kramer1, and Michael Salerno3 | ||
1University of Virginia, Charlottesville, VA, United States, 2Icahn School of Medicine at Mount Sinai, New York, NY, United States, 3Stanford University, Stanford, CA, United States |
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We developed high resolution quantitative perfusion sequence, along with DCNN network to automatically segment the image sets for motion correction. We deployed the acquisition and post-processing on patients with suspected coronary artery disease and compared the results to their coronary angiography findings. Our sequence and processing successfully match the angiography results. |
| 1310 | Computer 16
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BOLD MRI Perfusion in Peripheral Skeletal Muscle: Revealing the cuffing duration dependency |
| Stefanie Eriksson1,2, Jonathan Arvidsson1,2, Suhela Abubakar Mohammad1, Edvin Johansson3, and Kerstin Lagerstrand1,2 | ||
1Department of Medical Radiation Sciences, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden, 2Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Gothenburg, Sweden, 3Antaros Medical, Mölndal, Sweden |
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This study demonstrates the cuffing duration dependence of BOLD T2*-time curve parameters in peripheral skeletal muscle in the calf. This was made possible by the repeated measurements of healthy individuals using two different cuffing paradigms. The cuffing paradigms consisted of an ischemic period induced by cuffing of the thigh for 1.5 or 5 minutes, as well a 5 minute period of reactive hyperaemia. Systematic comparison of derived parameters was done from a descriptive representation of the T2* time curve. |
| 1311 | Computer 17
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Perfusion system for studying dynamic metabolomics in rat brain slices exposed to oxygen and glucose deprivation using 1H and 31P NMR |
| Deborah Hill1, Alicja Molska1, Trygve Andreassen1, and Marius Widerøe1 | ||
1Department of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU), Trondheim, Norway |
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We designed an NMR-compatible bioreactor that allows real-time metabolic measurements of viable rat brain slices under normal conditions and under conditions mimicking hypoxic-ischemic (HI) brain injury. Special emphasis was put on providing physiological temperature in the system, a significant factor in the HI model. 1H NMR spectra were acquired to assess changes in brain metabolites. Peaks of lactic acid, NAA, glutamate, aspartate, and creatine were detected. By acquiring a time series of proton spectra, we observed significantly increased lactate levels over time when switching from normoxia to hypoxia while other metabolites remained stable over the whole experiment. |
| 1312 | Computer 18
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Towards non-invasive assessment of cardiovascular physiology by combining cardiac MRI with predictive biomechanical modeling |
| Rebecca Waugh1,2, Maria Gusseva3,4, Gerald Greil2, Dominique Chapelle3,4, Tarique Hussain2, and Radomir Chabiniok2 | ||
1UT Dallas, Dallas, TX, United States, 2Pediatrics, UT Southwestern Medical Center, Dallas, TX, United States, 3Inria, Palaiseau, France, 4LMS, Ecole Polytechnique, Palaiseau, France |
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Biomechanical models coupled with cardiovascular MRI (CMR) have the potential to provide non-invasively physiological parameters of clinical interest. The approach is presented and validated on a group of 10 patients who underwent CMR and invasive catheterization. Patient-specific models are built based on CMR data and maximum/minimum arterial pressure. The stroke work, derived from ventricular pressure-volume (P-V) loops, was comparable between the measured and simulated P-V loops, suggesting the high quality of the in silico loops. An excellent correlation of the model-derived myocardial contractility with maximum time-derivative of ventricular pressure gives an opportunity for the non-invasive characterization of patients’ inotropic state. |
| 1313 | Computer 19
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Dual-venc Dual-echo (DVDE) Phase-contrast MRI for Simultaneous Measurement of Arterial and Venous Blood Flow |
| Jihye Jang1, Yansong Zhao1, Jouke Smink2, Andrew J Powell3, Lorna Browne4, and Mehdi H Moghari4 | ||
1Philips Healthcare, Gainsville, FL, United States, 2Philips Healthcare, Best, Netherlands, 3Boston Children’s Hospital and Harvard Medical School, Boston, MA, United States, 4Children's Hospital Colorado and University of Colorado, Aurora, CO, United States |
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Phase-contrast (PC) MRI enables non-invasive quantification of blood velocity and flow. The velocity encoding factor (venc) selected by the operator is chosen to maximize the velocity-to-noise ratio (VNR) while preventing aliasing artifacts. To minimize the acquisition time increase associated with an additional venc, a dual-venc dual-echo (DVDE) technique has been proposed where both venc images are acquired within a single TR as dual-echo images. Compared to the single-venc PC-MRI, DVDE allows simultaneous imaging of arterial and venous blood flow with an enhanced VNR and similar blood flow and velocity. |
| 1314 | Computer 20
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Quantification of regional cerebral blood flow using diffusion imaging with phase-contrast (DIP) |
| Genki Nambu1, Naoki Ohno1, Tosiaki Miyati1, Fumiki Sugita1, Yuki Makino2, Momoka Ikeda1, Noam Alperin3, Toshifumi Gabata1, and Satoshi Kobayashi1 | ||
1Division of Health Sciences, Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Ishikawa, Japan, 2Department of Radiology, Kanazawa University Hospital, Kanazawa, Ishikawa, Japan, 3Department of Radiology, University of Miami, Miami, FL, United States |
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Perfusion-related diffusion coefficient (D*) in intravoxel incoherent motion analysis is closely correlated with the regional cerebral blood flow (rCBF). However, the D* is only a semiquantitative relative value of rCBF, which makes absolute rCBF quantification challenging. To solve this problem, we developed a novel method of diffusion imaging with phase contrast (DIP), in which the total CBF (tCBF) from phase-contrast (PC)-MRI was used to convert the perfusion-related parameters in the brain to absolute rCBF. Using this method, we measured rCBF in gray matter and white matter. Each value was consistent with literature values assessed using [15O]-water positron emission tomography. |
| 1315 | Computer 21
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A simplified method to estimate blood flow velocity and inversion efficiency in the major cerebral arteries using multi-PLD pCASL |
| Freya Allery1,2, Daniel P. Bulte1, Embla Hocking1, Nicholas P. Blockley3,4, James W. Harkin5, and Joana Pinto1 | ||
1Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, United Kingdom, 2Institute of Health Informatics, University College London, London, United Kingdom, 3Sir Peter Mansfield Centre, School of Medicine, University of Nottingham, Nottingham, United Kingdom, 4School of Life Sciences, University of Nottingham, Nottingham, United Kingdom, 5Poole Hospital NHS Foundation Trust, Poole, United Kingdom |
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ASL inversion efficiency is often assumed as a pre-defined value or estimated by acquiring an additional phase-contrast MR image. While the former approach might be inaccurate in certain conditions, the latter can be time-consuming. Here, we propose a simplified method that estimates blood flow velocity and inversion efficiency solely using the ASL data. This novel strategy was tested using multi-PLD pCASL datasets with two different blood flow dynamics (normo- and hypercapnia). Our results show the feasibility of this approach and highlight the need for subject/condition-specific inversion efficiency estimation for a more accurate quantification of CBF. |
| 1316 | Computer 22
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A multi-organ assessment of the acute effects of haemodialysis using intradialytic multiparametric magnetic resonance imaging |
| Eleanor F Cox1, Venkata Rukmini Latha Gullapudi2,3, Charlotte E Buchanan1, Kelly White3, Sebastian Coleman1, Daniel Cocking1, Isma Kazmi2,3, Katrin Köhler4, Bernard Canaud4, Maarten W Taal2,3, Nicholas M Selby2,3, and Susan T Francis1 | ||
1Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom, 2Centre for Kidney Research and Innovation, University of Nottingham, Derby, United Kingdom, 3Renal Unit, University Hospitals of Derby and Burton NHS Foundation Trust, Derby, United Kingdom, 4Center of Excellence Medical Europe, Middle East and Africa, Fresenius Medical Care, Bad Homburg, Germany |
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Twelve patients underwent serial cardiac, cerebral and renal multiparametric 3T MRI scans before, during and after haemodialysis. During dialysis, there was a significant decline in cardiac and stroke index and myocardial strain, with increased diastolic dysfunction. This was accompanied by a reduction in blood flow to both the heart and brain. White matter T1 increased during dialysis suggesting fluid shifts increasing water content resulting in local oedema. Total kidney volume, renal cortex T1 and T2* all reduced during dialysis likely reflecting reduced renal blood volume and change in renal tissue water. These results highlight the acute multi-organ effects of dialysis. |
| 1317 | Computer 23
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Exploring coupling of venous blood and CSF fluid flow using flow sensitive Real-time phase-contrast MRI (PC-MRI) during forced breathing |
| Prativa Sahoo1, Jost M Kollmeier2, and Steffi Dreha Kulaczewski1 | ||
1University Medicine Göttingen, Göttingen, Germany, 2Max Planck Institute for Biophysical Chemistry, Göttingen, Germany |
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Venous system pathologies have increasingly been linked to disorders of CSF circulation whereas the exact coupling mechanisms still remain unknown. Using real-time phase-contrast MRI fluid dynamics of both systems were studied during normal and forced breathing in healthy subjects at spinal lumbar level L3. The aim was to provide experimental evidence that respiration couples CSF and venous flow. A correlation between CSF and venous flow could be observed during forced breathing. The findings point to a dynamic interplay between the fluid systems to regulate intracranial volume. Further insights will expand our understanding of the pathophysiology of different forms hydrocephalus. |
| 1318 | Computer 24
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Characterization of cardiac alterations in transgenic rat model of pulmonary arterial hypertension exposed to chronic hypoxia |
| Dounia El Hamrani1, Julie Magat1, Jérôme Naulin1, Céline Ayez1, Marilyne Campagnac2, Frédéric Perros3, Christelle Guibert2, David Benoist1, and Bruno Quesson1 | ||
1IHU Liryc, Bordeaux, France, 2CRCTB-INSERM U1045, Bordeaux, France, 3Université Paris–Saclay, AP-HP, INSERM UMR_S 999, Le Kremlin Bicêtre, France |
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Transgenic rats with Bmpr2 mutation is a model of heritable pulmonary arterial hypertension (PAH). This study aims to evaluate cardiac alterations of Bmpr2-mutants associated with a risk factor (hypoxia) by MRI and 31P-MRS. Transgenic rats exposed to chronic hypoxia showed a drastic dilatation of the RV along with an increased wall thickness and no variation of ejection fraction, thus resembling right heart failure with preserved ejection fraction. The cardiac energy balance is disturbed in Bmpr2 rats under hypoxia indicating a metabolic insult. Bmpr2 mutation associated with chronic hypoxia can aggravate right heart failure and thereby accentuated the onsets of PAH. |
| 1319 | Computer 25
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Impact of cardiac geometry segmentation on MRI-driven estimates of myocardial stiffness in an in vitro synthetic heart model |
| Fikunwa Kolawole1,2,3, Mathias Peirlinck4, Tyler E Cork1,2,5, Marc E Levenston1,3, Ellen Kuhl3, and Daniel Ennis1,2 | ||
1Radiology, Stanford University, Stanford, CA, United States, 2Radiology, Veterans Administration Health Care System, Palo Alto, CA, United States, 3Mechanical Engineering, Stanford University, Stanford, CA, United States, 4Biomechanical Engineering, Technische Universiteit Delft, Delft, Netherlands, 5Bioengineering, Stanford University, Stanford, CA, United States |
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MRI-driven computational constitutive modeling can be used to obtain subject-specific myocardial passive stiffness. Verifying the accuracy and precision of this technique requires overcoming the challenge of obtaining ground-truth in vivo myocardial stiffness. We developed a controllable in vitro diastolic filling setup which incorporates a soft heart phantom of known myocardium-mimicking mechanical stiffness and MRI properties. Using the setup we demonstrate that uncertainties in quantifying cardiac reference geometry can lead to errors in estimating myocardial passive stiffness. The in vitro setup is designed to enable us to achieve our overarching goal: to extensively validate in vivo MRI-based myocardial passive stiffness estimation. |
| 1388 | Computer 12
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High-resolution vascular imaging of the whole brain at 7T in 15 minutes |
| Arun Joseph1,2,3, Patrick Liebig4, Piotr Radojewski2,5, Roland Wiest2,5, Tobias Kober6,7,8, and Tom Hilbert6,7,8 | ||
1Advanced Clinical Imaging Technology, Siemens Healthcare AG, Bern, Switzerland, 2Translational Imaging Center, sitem-insel AG, Bern, Switzerland, 3Magnetic Resonance Methodology, Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Bern, Switzerland, 4Siemens Healthcare GmbH, Erlangen, Germany, 5Support Center for Advanced Neuroimaging, Institute for Diagnostic and Interventional Neuroradiology, Inselspital, Bern University, Bern, Switzerland, 6Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland, 7Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 8LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland |
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Vascular disease such as arteriovenous malformations can be fatal and lead to brain damage if not detected early. To that end, time of flight angiography is an important tool to visualize vessels, especially the arteries with implications for treatment planning and follow-up. Similarly, susceptibility weighted imaging can be used to visualize veins due to its sensitivity to magnetic field inhomogeneities. However, high resolution TOF and SWI acquisitions can lead to clinically unfeasible scan times. Here, we propose to use compressed-sensing-accelerated high resolution TOF and SWI acquisitions at 7T in <15 minutes to visualize the vascular system of the whole brain. |
| 1389 | Computer 13
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Automatic vascular segmentation of neck TOF MRA images based on 3D CNN model |
| Wei Qiu1, Hanyu Wei1, Shuo Chen1, and Rui Li1 | ||
1Department of Medicine, CBIR, Tsinghua University, Beijing, China |
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Accurate and fast automatic Carotid artery segmentation of time of flight(TOF) MRA plays an important role in the auxiliary diagnosis of carotid artery disease. Considering the complexity and uncertainty of doctors’ manual segmentation of neck vessels, automatic segmentation algorithms are required in clinical practice. A segmentation model based on 3D Convolutional neural network (CNN) was proposed to segment carotid arteries from TOF MRA images. With innovative adjustment of the network architecture and parameters for carotid application, our model showed better performance than other baseline models on private dataset. |
| 1390 | Computer 14
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Quantification and visualization of aneurysm treatment outcome with signal enhancement on Black Blood MRI. |
| Mariya S. Pravdivtseva1, Fritz Wodarg2, Jana Korte3, Philipp Berg3, Jan-Bernd Hövener1, Olav Jansen2, and Naomi Larsen2 | ||
1Department of Radiology and Neuroradiology, Section Biomedical Imaging, Molecular Imaging North Competence Center (MOIN CC), University Medical Center Schleswig-Holstein (UKSH), Kiel University, Kiel, Germany, 2Department of Radiology and Neuroradiology, University Medical Center Schleswig-Holstein (UKSH), Kiel, Germany, 3Research Campus STIMULATE, University of Magdeburg, Magderburg, Germany |
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Intracranial aneurysm is a life-threatening disease that can be treated with flow-modulating devices (FMDs) by reducing aneurysm blood flow. Aneurysms might rupture after treatment, thus biomarker of successful treatment is needed. Flow MRI can detect flow reduction, however, it is impaired by metal artifacts from FMDs. Black-blood (BB) MRI is less sensitive to metal artifacts and often results in poor slow-flow suppression. We hypothesize that BB contrast changes after aneurysm treatment. Here, after placing FMDs in 3D-printed aneurysm models, an enhanced signal was found on BB MRI, associated with reduced aneurysmal flow after flow modulation and thus possible treatment success. |
| 1391 | Computer 15
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Field Strength and Gadolinium Dose Dependency of Dynamic Time-Resolved 4D MRA of the Brain Using Golden-Angle Radial Sparse Parallel (GRASP) MRI |
| Adam Goldman-Yassen1,2, Vishal Patel3, Maria J. Borja3, Anna Derman4, Duan Chen5, Siddhant Dogra3, Roy Wiggins3, Kai Tobias Block3, and Seena Dehkharghani3,6 | ||
1Department of Radiology, Children's Healthcare of Atlanta, Atlata, GA, United States, 2Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA, United States, 3Department of Radiology, New York University Langone Medical Center, New York, NY, United States, 4Department of Radiology, Maimonides Medical Center, Brooklyn, NY, United States, 5Department of Radiology, Weill Cornell Medical Center, New York, NY, United States, 6Department of Neurology, New York University Langone Medical Center, New York, NY, United States |
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GRASP MRI obtained as part of routine clinical care, without specific angiographic parameters, can be reconstructed post-hoc into dynamic 4D MR images and can be displayed with high spatial and temporal resolution. Additionally, contrast dose and magnet strength appear to have minimal effect on the diagnostic quality of angiographic images. Further exploration into diagnostic accuracy and the tolerance of varying field strength and dosing to further increasing degrees of acceleration is warranted. |
| 1392 | Computer 16
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In vivo, high-resolution Black Blood MRI at 7T |
| Eva Peschke1, Mariya Pravdivtseva1, Olav Jansen2, Naomi Larsen2, 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, Kiel, Germany, 2Department of Radiology and Neuroradiology, University Medical Center Schleswig-Holstein, Kiel University, Kiel, Germany, Kiel, Germany |
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Vessel wall imaging (VWI) is a unique method to depict the vessel walls in vivo but was not applied in small animal models at 7T yet. Here, we developed a setup to emulate T1 contrast and flow to optimize Black Blood MRI in vitro. Using the results, we implemented a RARE sequence that allows in vivo Black Blood MRI with a high resolution of 0.156 x 0.156 mm² and successful flow suppression. Next, the model will be extended for VWI to measure the enhancement of Gadolinium contrast agent. |
| 1393 | Computer 17
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White matter perivascular space enlargement in cerebral small vessel disease indicates cerebral amyloid angiopathy pattern changes |
| hui hong1 and minming zhang2 | ||
1the second affiliated hospital of zhejiang university, school of medicine, hangzhou, China, 2radiology, the second affiliated hospital of zhejiang university, school of medicine, hangzhou, China |
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The enlargement of white matter perivascular space(PVS) is highly CAA related, however lack of studies investigated its role in stable pattern CSVD patients, we hypothesis that CSVD patients with white matter PVS enlargement indicates a CAA pattern changes. Here we compared patients with and without white matter PVS enlargement from imaging manifestation, imaging mechanism and clinical cognitive ability. We foud that patients with PVS enlargenmet showed a pattern similar to previous symptomatic CAA, that is more lobar microbleed, more interstitial fluid retention and significantly lower global cognitive ability. Extra dignosis and treament should be carried out to this pattern CSVD. |
| 1394 | Computer 18
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Three-fold accelerated MRI and MR angiography on Moyamoya disease examination using deep learning constrained Compressed SENSE reconstruction |
| Yajing Zhang1, Jilei Zhang2, Maoxue Wang3, Kun Wang3, Xiance Zhao2, Peng Wu2, Weibo Chen2, Queenie Chan2, Johannes M. Peeters4, Marc Van Cauteren5, and Bing Zhang3 | ||
1BU-MR Clinical Science, Philips Healthcare, Suzhou, China, 2Philips Healthcare, Shanghai, China, 3Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China, 4BU-MR Clinical Science, Philips Healthcare, Best, Netherlands, 5BU-MR Clinical Science, Philips Healthcare, Tokyo, Japan |
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MR angiography (MRA) in moyamoya disease has been uniquely important in the evaluation of changes in vasculature and brain parenchyma, and clinical follow-up. In this work, we investigate the performance of accelerated MRA under a deep learning constrained Compressed SENSE reconstruction framework. Results on both volunteer and patients demonstrate a three-fold scan acceleration against the routine MRA with comparable image quality. |
| 1466 | Computer 16
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Assessing Drug Effect on the Velocity Pulsatility in the Perforating Arteries of the Basal Ganglia at 3T-MRI in Pseudoxanthoma Elasticum |
| Stanley D.T. Pham1, Rick J. van Tuijl1, Jonas W. Bartstra1, Tim C. van den Beukel1, Geert Jan Biessels2, Pim A. de Jong1, Wilko Spiering3, Birgitta K. Velthuis1, and Jaco J.M. Zwanenburg1 | ||
1Radiology, UMC Utrecht, Utrecht, Netherlands, 2Neurology and Neurosurgery, UMC Utrecht, Utrecht, Netherlands, 3Vascular Medicine, UMC Utrecht, Utrecht, Netherlands |
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This feasibility study aimed to detect drug effects on perforating artery velocity as measured with two-dimensional phase-contrast (2D-PC) velocity measurements at 3T-MRI. Seventeen patients with pseudoxanthoma elasticum were included into a treatment group who received etidronate (n=9) and into a placebo group (n=8). No significant differences were found between both groups at baseline and one-year follow-up. In the etidronate group, mean velocity (Vmean) was significantly higher at follow-up (5.61 [4.77–6.45] cm/s) compared to baseline (4.80 [4.05–5.54] cm/s). In the placebo group, Vmean did not increase significantly. Measuring drug effects was feasible using 2D-PC measurements at 3T-MRI. |
| 1467 | Computer 17
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Comparison of cerebral oxygen extraction fraction using ASE and TRUST methods in patients with sickle cell disease and healthy controls |
| Slim Fellah1, Chunwei Ying1, Kristin Guilliams1, Melanie Fields1, Yasheng Chen1, Joben Lewis1, Amy Mirro1, Rachel Cohen1, Nkemdilim Igwe1, Cihat Eldeniz1, Dengrong Jiang2, Hanzhang Lu2, Jin-Moo Lee1, Andria Ford1, and Hongyu An1 | ||
1Washington University School of Medicine, Saint Louis, MO, United States, 2Johns Hopkins University School of Medicine, Baltimore, MD, United States |
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We evaluated cerebral oxygen extraction fraction (OEF) in patients with sickle cell disease (SCD) and controls using two MR techniques: asymmetric spin echo (ASE) and T2-relaxation-under-spin-tagging (TRUST). We hypothesized that both methods would yield similar OEF and that TRUST-derived OEF would be elevated in patients with SCD vs. controls as previously found using ASE-derived OEF. ASE-derived and TRUST-derived OEF using the Lu 2012 calibration model showed a positive correlation (rho=0.823, p<0.001). Conversely, ASE-derived vs. TRUST-derived OEF using the Bush 2021 model showed a negative association (rho=-0.569, p<0.001). The directionality of these associations was heavily dependent on the calibration model used. |
| 1468 | Computer 18
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MRI Estimates of Cerebral Blood Flow and Venous Oxygenation as Surrogate Markers in a Mouse Model for Sickle Cell Anemia |
| Yi-Fen Yen1, Joseph B Mandeville1, Yin-Ching Chan1, Suk-Tak Chan1, Erin E Hardy1, Jay Janz2, Steven Arkin2, Denis Rybin2, Kelly Knee2, Debra D Pittman2, and James A Goodman2 | ||
1Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Chalrestown, MA, United States, 2Pfizer, Inc, Cambridge, MA, United States |
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We have assessed cerebral blood flow (CBF), venous T2, and hematocrit (Hct) in mice to characterize the performance of MR markers of cerebral physiology in wildtype (WT) mice and the Townes transgenic mouse model of Sickle Cell Disease (SCD). SCD mice exhibited increased CBF, decreased venous T2, and decreased Hct compared to matched WT mice. Combining MR measures of CBF and venous T2 with Hct measurement improved the disease-specific differentiation. Test-retest variability was approximately 20% for CBF and venous T2 and 10% for Hct. Methods employed in this study are fully translational to the clinic. |
| 1469 | Computer 19
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Multi-modal Study Comparisons of Hemodynamics after a Traumatic Brain Injury (TBI) and Subarachnoid Hemorrhage (SAH) |
| Laurel Dieckhaus1, Ali Kamali1, Emily C Peters2, Collin A Preszler1, Christa M Sonderer1, Paulo Pires2, Kaveh Laksari1, and Elizabeth B Hutchinson1 | ||
1Biomedical Engineering, University of Arizona, Tucson, AZ, United States, 2Physiology, University of Arizona, Tucson, AZ, United States |
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To examine the first hours after brain injury, we utilized photoacoustic imaging (PAI), ultrasound (US), and color doppler (CD) alongside MRI metrics. We wanted to investigate the early pathomechanisms that involve hemodynamic response such as blood flow, oxygenation, and edema. |
| 1470 | Computer 20
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QTM Quantifies Velocity of Tumor Vasculature in Gliomas |
| Dominick Jon Romano1, Qihao Zhang1, Ilhami Kovanlikaya2, Gloria Chia-Yi Chiang2, Pascal Spincemaille2, and Yi Wang3 | ||
1Biomedical Engineering, Cornell University, New York, NY, United States, 2Radiology, Weill Cornell Medical College, New York, NY, United States, 3Radiology, Cornell University, New York, NY, United States |
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A recently proposed perfusion analysis method, Quantitative Transport Mapping (QTM), was applied in malignant Glioma (grade III and IV) to obtain the flow speed map. Pathological lesions were separated into DCE-Enhancing, Darkening, and total affected ROIs. The average speed scalar for each ROI suggests that DCE-Enhancing tumor presents with significantly increased speed while non-enhancing tumor does not experience a speed change. |
| 1471 | Computer 21
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Relative cerebral blood volume reduction in hyperintense brain regions of glioma patients treated with proton radio(chemo)therapy |
| Katharina Witzmann1,2, Felix Raschke1,2, Tim Wesemann3, Steffen Appold2,4, Mechthild Krause1,2,4,5,6, Jennifer Linn3, and Esther G.C. Troost1,2,4,5,6 | ||
1Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiooncology – OncoRay, Dresden, Germany, 2OncoRay - National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany, 3Institute of Neuroradiology, University Hospital Carl Gustav Carus and Medical Faculty of Technische Universität, Dresden, Germany, 4Department of Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany, 5German Cancer Consortium (DKTK), Partner Site Dresden, and German Cancer Research Center (DKFZ), Heidelberg, Germany, 6National Center for Tumor Diseases (NCT), Partner Site Dresden, Germany: German Cancer Research Center (DKFZ), Heidelberg, Germany; Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany, and; Helmholtz Association / Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Dresden, Germany |
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Imaging biomarkers capable of distinguishing between tumor recurrence and treatment effect are of high relevance for radiation therapy. In 14 glioma patients, we analyzed changes in relative cerebral blood volume (rCBV) in areas of hyperintensities on T2-weighted magnetic resonance imaging (MRI) appearing after irradiation with protons. rCBV values were evaluated comparing the baseline and the latest follow-up measurement both visually and based on histograms. A significant rCBV perfusion decrease was observed in those hyperintensities, which may be interpreted as treatment effect. Further work is needed correlating the rCBV changes with histology and patient outcome. |
| 1472 | Computer 22
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Oxygen Extraction Fraction and Cerebral Metabolic Rate of Oxygen derived from DSC-MRI in Patients with Moyamoya Disease |
| Markus Fahlström1, Anders Lewén2, Per Enblad2, and Johan Wikström1 | ||
1Surgical Sciences, Uppsala University, Uppsala, Sweden, 2Neuroscience, Uppsala University, Uppsala, Sweden |
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Moyamoya disease is a cerebrovascular disease where changes to oxygen extraction fraction (OEF) and cerebral metabolic rate of oxygen (CMRO2) are important parameters to assess the risk of future ischemic stroke. By applying a microvasculature model to dynamic susceptibility contrast (DSC) perfusion data parametric maps of both OEF and CMRO2 can be generated. For both OEF and CMRO2 significant differences between affected and unaffected vascular territorial regions were found. OEF and CMRO2 derived from DSC perfusion shows promise in detecting cerebral hemodynamic impairment in patients with moyamoya disease. However, further investigations are needed to clarify the clinical potential. |
| 1473 | Computer 23
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Narcosis depresses the BOLD-CVR response to acetazolamide in pediatric moyamoya vasculopathy |
| Pieter T Deckers1, Jeroen CW Siero2,3, Annick Kronenburg1, Kees PJ Braun4, Bart van der Zwan1, and Alex A Bhogal2 | ||
1Neurosurgery, UMC Utrecht, Utrecht, Netherlands, 2Imaging, UMC Utrecht, Utrecht, Netherlands, 3Spinoza Centre for Neuroimaging, Amsterdam, Netherlands, 4Pediatric Neurology, UMC Utrecht, Utrecht, Netherlands |
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Measuring cerebrovascular reactivity (CVR) under narcosis is underreported, while narcosis is often necessary for pediatric or cognitively impaired patients. When acetazolamide is used in awake patients, maximum CBF increase reaches a plateau after ~12min. Using ASL- and BOLD-MRI with acetazolamide we showed that for pediatric moyamoya patients the response is different. Patients under narcosis show lower CVR and reach peak CBF earlier (after around six minutes), after which CBF decreases again without the plateau-phase. This shows the response to acetazolamide is distinctively different between awake and narcosis patients and caution is warranted during interpretation of narcosis CVR images. |
| 1554 | Computer 9
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Automated subject-specific pixels selection for improved image reconstruction in free-running coronary MRA using SIMBA |
| Ludovica Romanin1,2, Christopher W. Roy2, Milan Prsa3, Tobias Rutz4, Estelle Tenisch2, Matthias Stuber2,5, and Davide Piccini1,2 | ||
1Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland, 2Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 3Division of Pediatric Cardiology, Woman-Mother-Child Department, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 4Service of Cardiology, Heart and Vessel Department, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 5Center for Biomedical Imaging (CIBM), Lausanne, Switzerland |
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This work proposes an automated subject-specific individual pixels selection as an alternative to a fixed coil selection for the initialization of the input data to a similarity-driven multi-dimensional binning algorithm (SIMBA) for free-running motion-suppressed whole-heart acquisitions. By selecting timeseries with a high low-frequency energy content, we include only pixels with respiratory and cardiac information. Compared to the original method, this leads to a more accurate choice of end-expiration and diastolic phases for the reconstruction of sharp whole-heart and coronary images. Moving forward, the method needs to be refined, optimized and tested to further improve the image quality. |
| 1555 | Computer 10
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One-stop subtractionless first-pass CS-whole-body MRA with once contrast injection of 0.15mmol/kg dose: first clinical experience |
| Qing FU1, Jia-wei Wu1, Jing-yang Li1, Peng Sun2, and Xiang-chuang Kong1 | ||
1Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, 2Philips Healthcare, Beijing, China |
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Conventional subtracted whole-body CE-MRA is time-consuming and requires experiences for operators. Instead, one-stop subtractionless CS-MRA in our study could depict the whole-body arterial vasculatures with only once contrast injection and only 0.15 mmol/kg dose, which assisted by multiple techniques including reverse k-space filling mode, total imaging matrix system, automatic table moving, automatic coil selection and especially the CS technique. The comparative results supported it feasible with accepted image qualities and a faster acquisition time in clinical use. |
| 1556 | Computer 11
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Accelerated whole-heart mDixon coronary MRA with a deep learning constrained CompressedSENSE: a feasibility study |
| Xi Wu1,2, Jiayu Sun1, Xiaoyong Zhang3, and Zhigang Wu4 | ||
1Department of Radiology, West China Hospital of Sichuan University, Chengdu, China, 2North Sichuan Medical College, Nanchong, China, 3Philips Healthcare, Chengdu, China, 4Philips Healthcare, Shenzhen, China |
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Currently, modified dixon (mDixon) gradient echo sequence is widely used for respiratory navigated whole-heart coronary magnetic resonance angiography (MRA) for the evaluation of coronary anatomy and abnormalities. However, the main drawback of this approach is that the scan time is longer and prone to interference with motion artifacts. In this study, we investigated the utility of whole-heart coronaryMRA using accelerated mDixonwith compressed sensing (CS) and artificial intelligence(AI) technologies at 3Tesla. The initial results showedtheCS-AI mDixontechnique has potential to be the most viable alternative to enhance the clinical workflow of coronary MRA. |
| 1557 | Computer 12
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Contrast-free 3D Cartesian MRA of the thoracic aorta in 3 min: preliminary clinical evaluation |
| Anastasia Fotaki1, Camila Munoz1, Alina Hua1, Yaso Emmanuel2, Karl Philip Kunze1,3, Radhouene Neji1,4, Pier Giorgio Masci1, René Botnar1,5, and Claudia Prieto1,5 | ||
11School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 2Guy's and St Thomas' Hospital, London, United Kingdom, 3MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom, 42MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom, 5Escuela de Ingeniería, Pontificia Universidad Católica de Chile, Santiago, Chile |
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Cardiovascular Magnetic Resonance Angiography is established for serial monitoring of thoracic aortic disease. Limitations of the current approach include the diaphragmatic navigation, leading to long acquisition times and the correction of the aortic motion, solely in one direction. We propose a T2-prep bSSFP sequence that incorporates image-based navigation and inline non-rigid motion-correction for efficient, free-breathing and isotropic aortic imaging. Comparison between the conventional and the research sequence shows similar diagnostic confidence with both techniques in much shorter acquisition time [3.11.1min (iNAV) versus 11.5 min3.4 (dNAV),P<0.0001] and good agreement of aortic measurements between both techniques, holding promise for forthcoming clinical adoption. |
| 1558 | Computer 13
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Investigating the clinical viability of a control system-based slice-following sequence for free-breathing cardiovascular DTI |
| Stephen G Jermy1,2, Elizabeth M Tunnicliffe3, Ntobeko A B Ntusi2,4, and Ernesta M Meintjes1,2 | ||
1Division of Biomedical Engineering, Department of Human Biology, University of Cape Town, Cape Town, South Africa, 2Cape Universities Body Imaging Centre (CUBIC), University of Cape Town, Cape Town, South Africa, 3Oxford Centre for Magnetic Resonance Research (OCMR), Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom, 4Department of Medicine, University of Cape Town, Cape Town, South Africa |
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A prospective respiratory motion correction control system, capable of slice-following, was tested on a 3 T clinical MRI scanner. The performance of the control system was compared against the most common respiratory motion compensation technique, namely multiple breath-holds. Both techniques produced similarly consistent results. The control system technique was able to reduce the acquisition time by acquiring data with 100% respiratory efficiency |
| 1559 | Computer 14
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Comparison of Interpolation Methods for Ex-vivo and In-vivo Cardiac Diffusion Tensor Imaging |
| Johanna Stimm1, Sebastian Kozerke1, and Christian Stoeck1,2 | ||
1Institute for Biomedical Engineering, University and ETH Zurich, Zuerich, Switzerland, 2Division of Surgical Research, University Hospital Zurich, University Zurich, Zurich, Switzerland |
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To address the challenge of low resolution and limited number of slices in in-vivo cDTI, and the need for 3D structural information in image-based modeling, we compare five interpolation techniques of predominant cardiomyocyte orientation: two low-rank models, one rule-based method and two tensor interpolation approaches. The direct tensor interpolation approaches result in the smallest errors, followed by the low-rank models and the rule-based method. In view of an optimal experimental design in-vivo, the ex-vivo experiments suggest a larger benefit of increasing in-plane resolution rather than SNR, and a non-linear increase in error for less than five short-axis slices. |
| 1560 | Computer 15
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Comparison of Blip-Up and Blip-Down EPI Distortion Correction Methods for Cardiac Diffusion Tensor Imaging |
| Tyler E Cork1,2,3, Matthew J Middione1,2, Michael Loecher1,2, Congyu Liao1, Kévin Moulin4,5, Kawin Setsompop1,6, and Daniel B Ennis1,2,7 | ||
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, 4CREATIS Laboratory, University of Lyon, Lyon, France, 5Department of Radiology, University Hospital Saint-Etienne, Saint-Etienne, France, 6Department of Electrical Engineering, Stanford University, Stanford, CA, United States, 7Cardiovascular Institute, Stanford University, Stanford, CA, United States |
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To maintain minimal scan times, cardiac Diffusion Tensor Imaging (cDTI) uses an echo-planar imaging (EPI) readout. Off-resonance, that causes geometric distortion in EPI, remains an obstacle that degrades image quality and can affect the underlying quantitative information. In cDTI, the lung/liver/heart interface amplifies the effect of geometric distortion. Distortion correction algorithms, such as TOPUP and DR-BUDDI, have proved to adequately correct distortion in neuroimaging, but limited work has been done for the heart. A first look at comparing these two correction strategies head-to-head was evaluated and resulting in TOPUP as a slightly better tool addressing distortion correction in the heart. |
| 1561 | Computer 16
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A comparison of oxygenation-sensitive cardiac MRI methods after hyperventilation |
| Qi Huang1,2, Jason Mendes1, Ganesh Adluru1, and Edward DiBella1 | ||
1Utah Center for Advanced Imaging Research (UCAIR), University of Utah, Salt Lake City, UT, United States, 2Biomedical Engineering, University of Utah, Salt Lake City, UT, United States |
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Here we study SSFP-based OS-CMR and EPI-based T2*/T2 methods for detection of myocardial oxygenation changes. These techniques have been used previously, and OS-CMR has been investigated in many studies. However, quantifying T2* and T2 every heartbeat may add information to the semi-quantitative OS-CMR method. Here a limited study of subjects on a 3T scanner is performed. Preliminary quantitative results including comparisons between the methods are shown. |
| 1562 | Computer 17
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Evaluation of non-contrast free-breathing compressed SENSE T1-TFE cardiac MRI at 3T in young children with congenital heart diseases |
| Inka Ristow1, Shuo Zhang2, Caroline-Viktoria Hancken3, Maria Stark4, Carsten Rickers5, Christoph Katemann2, Peter Bannas1, Gerhard Adam1, Jochen Herrmann3, Lennart Well1, and Julius Matthias Weinrich3 | ||
1Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany, 2Philips GmbH Market DACH, Hamburg, Germany, 3Department of Diagnostic and Interventional Radiology and Nuclear Medicine, Section of Pediatric Radiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany, 4Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany, 5University Heart Center, Adult Congenital Heart Disease Unit, University Medical Center Hamburg-Eppendorf, Hamburg, Germany |
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High-quality cardiac MRI at 3T in sedated children with congenital heart disease (CHD) is challenging, because of field inhomogeneities and free breathing motions. Therefore, we aimed to employ the non-contrast free-breathing generic T1-weighted turbo-field echo (TFE) sequence with compressed sensing reconstruction for assessment of vessel diameters and evaluation of the intra- and extracardiac structures in children with CHD aged <5 years. Our results show a highly reliable clinical applicability for intra- and extracardiac structures with significantly higher accuracy in comparison to contrast-enhanced MR-angiography and 3D-Dixon sequences. |
| 1563 | Computer 18
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Non-selective refocusing pulse optimization for T2-prep in free-breathing 3D CMRA at 7T with single-transmit coil |
| Shubhajit Paul1, Raphael Tomi-Tricot1,2, Karl Philipp Kunze1,2, Shaihan Malik1,3, Joseph V. Hajnal1,3, Philippa Bridgen1,3, Thomas Wilkinson1,3, Sharon Giles1,3, Radhouene Neji1,2, Reza Razavi1, Claudia Prieto1,4, and René Michael Botnar1,4 | ||
1School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom, 2MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom, 3The London Collaborative Ultra high field System (LoCUS), London, United Kingdom, 4Escuela de Ingeniería, Pontificia Universidad Católica de Chile, Santiago, Chile |
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In spite of the promised increase in signal-to-noise ratio and contrast to noise ratio, 3D whole-heart imaging at 7T remains challenging predominantly due to B1, B0 inhomogeneity, specific absorption rate limitations and coil-depth issues for single transmit. Here, we developed a toolbox to optimize the adiabatic hyperbolic secant refocusing pulse with respect to B1 and B0 inhomogeneity typically used for T2-preparation in non-contrast 3D Coronary Magnetic Resonance Angiography (CMRA). We present phantom and in vivo data for 3D CMRA employing a low excitation flip-angle scheme. |
| 1564 | Computer 19
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Fat-free MRI with fast and power-optimized off-resonant LIBOR pulses |
| Jessica AM Bastiaansen1,2, Davide Piccini3, and Adele Mackowiak4 | ||
1Department of Diagnostic, Interventional and Pediatric Radiology (DIPR), Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland, 2Translational Imaging Center, sitem-insel, Bern, Switzerland, 3Advanced Clinical Imaging Technology, Siemens Healthcare, Lausanne, Switzerland, 4Department of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland |
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Flexible off-resonant RF pulse designs such as LIBRE and BORR are inspired by conventional binomial 1-(180)-1 water excitation pulses and perform better in terms of fat suppression. To abbreviate scanning times, BORR and LIBRE pulse durations can be shortened by increasing the RF excitation frequency at the expense of increased RF power. To reduce RF power, we developed a novel off-resonant RF pulse design based on the conventional 1-(90)-1 water excitation pulse. LIBOR, compared with LIBRE and BORR, reduced the required RF power while maintaining short pulse durations and effective fat suppression in simulations, knee, and cardiac MRI at 3T. |
| 1565 | Computer 20
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Balanced-force shim system for correcting field inhomogeneities due to implanted cardioverter-defibrillators (ICDs): validation in phantoms |
| Ehud Jeruham Schmidt1, Mirko Hrovat2, Henry R Halperin1, and Aravindan J Kolandaivelu1 | ||
1Medicine (Cardiology), Johns Hopkins University, School of Medicine, Baltimore, MD, United States, 2Mirtech Inc., Boston, MA, United States |
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A resistive-shim system was constructed to correct the >100ppm magnetic-field inhomogeneity caused by implanted ICDs, which leads to signal loss and blurring in cardiac MRI. A plastic platform, held to the MRI stretcher, allows human-subject insertion, and holds a sensitive 720 Ampere*turns dipole-approximating shim-coil on a movable-fixture above the chest. Shim-coil is electronically decoupled from gradients and body-coil-RF. ICD field-inhomogeneity is measured with B0 mapping, and a correction field computed (shim-coil-center-location, DC-current-intensity). Shim-coil is moved to shim-coil-center-location, and a power-supply sends DC-current to the shim-coil. System was tested on phantoms overlaid with ICDs and corrected >75ppm inhomogeneity over 50x50x50mm3 FOV. |
| 1566 | Computer 21
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In-vivo comparison of Active Tracking based cardiac triggering and ECG-triggering for cardiac MR-thermometry |
| Ronald Mooiweer1,2, Rainer Schneider3, Axel Joachim Krafft3, Katy Empanger4, Jason Stroup4, Alexander Paul Neofytou1, Rahul K Mukherjee1, Steven Williams1,5, Tom Lloyd4, Mark O'Neill1, Reza Razavi1, Tobias Schaeffter6, 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, 4Imricor Medical Systems, Burnsville, MN, United States, 5University of Edinburgh, Edinburgh, United Kingdom, 6Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany |
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Continuous AT was used for cardiac synchronization of MR-thermometry with on-line signal filtering, calibration, and triggering. Experiments in a porcine animal model, where AT-trig was compared to ECG triggering, showed that AT-trig could potentially serve as alternative cardiac triggering strategy in situations where ECG triggering is not effective. |
| 1567 | Computer 22
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5D Free-Running-LIBRE MRI for 3D whole-heart Cine: A pilot study in patients at 3T |
| Katerina Eyre1, Michael Chetrit1, Lisa Leroi2, Jérôme Yerly3,4, Mitchel Benovoy2, Davide Piccini3,5, Matthias Stuber3,4, Matthias Friedrich1,2,6,7,8, and Jessica AM Bastiaansen3,9,10 | ||
1Radiology, McGill University Health Centre (MUHC), Montreal, QC, Canada, 2Circle Cardiovascular Imaging Inc., Calgary, AB, Canada, 3Diagnostic and Interventional Radiology, Le Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland, 4Center for BioMedical Imaging (CIBM), Lausanne, Switzerland, 5Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland, 6Radiology, Université de Montréal, Montreal, QC, Canada, 7Cardiac Sciences, University of Calgary, Calgary, AB, Canada, 8Heidelberg University, Heidelberg, Germany, 9Diagnostic, Interventional and Pediatric Radiology (DIPR), Inselspital, Bern University Hospital, Bern, Switzerland, 10Translational Imaging Cente, Bern, Switzerland |
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Cardiac magnetic resonance imaging is often limited by long scan times and the need for multiple breath holds. A Free-Running sequence may overcome this limitation by providing 3-D cine data in a free-breathing non-ECG-triggered acquisition of 7 minutes. The clinical applicability of this method was tested in a cohort of 9 patients with varying pathologies. Myocardial blood-pool volumes and ejection fractions were compared between standard 2-D protocols and 5-D Free-Running-LIBRE. Free-Running-LIBRE successfully quantified volumes and ejection fractions with results correlating strongly to reference measurements. The method demonstrated additional potential to visualize irreversible myocardial injury in these patients. |
| 1568 | Computer 23
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Wideband Pulse Sequences for Suppressing Image Artifacts Induced by an ICD: A study in a Pediatric Anthropomorphic Phantom |
| Oluyemi Aboyewa1,2, KyungPyo Hong2, Fuchang Jiang1, Bhumi Bhusal2, Giorgio Bonmassar3, Andrada Popescu4, Gregory Webster5, Laleh Golestanirad1,2, and Daniel Kim1,2 | ||
1Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL, United States, 2Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States, 3AA. Martinos Center Massachusetts General Hospital Harvard Medical School, Charlestown, MA, United States, 4Department of Medical Imaging, Ann & Robert H. Lurie Children's Hospital, Chicago, IL, United States, 5Division of Cardiology, Department of Pediatrics, Ann & Robert H. Lurie Children's Hospital, Chicago, IL, United States |
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This study investigated whether wideband late-gadolinium enhancement (LGE) and T1 mapping pulse sequences can suppress image artifacts induced by an ICD positioned 12cm inferior to the heart in a pediatric anthropomorphic phantom. The ICD induced a peak-to-peak center frequency shift of 970Hz across the heart. The normalized mean signal intensity within the heart was 1.91±1.20 and 0.98±0.39, for standard and wideband LGE with ICD, respectively. The mean myocardial T1 was 1486.1±607.7 and 1728.3±332.3msec for standard and wideband T1 mapping, respectively. Our results demonstrate that wideband pulse sequences can suppress image artifacts induced by an ICD in a pediatric anthropomorphic phantom. |
| 1569 | Computer 24
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Radiofrequency Array Concepts for Cardiac MRI at 10.5 T and 14.0 T: Does an Increased Channel Count Really Help? |
| Thomas Wilhelm Eigentler1,2, Bilguuun Nurzed1, Andre Kuehne3, and Thoralf Niendorf1,3,4 | ||
1Berlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany, 2Technische Universität Berlin, Chair of Medical Engineering, Berlin, Germany, 3MRI.TOOLS GmbH, Berlin, Germany, 4Experimental and Clinical Research Center (ECRC), a joint cooperation between the Charité Medical Faculty and the Max Delbrück Center for Molecular Medicine, Berlin, Germany |
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The gain in signal-to-noise ratio is driving the ultrahigh field and extreme field MRI. This work highlights the opportunities and electromagnetic constraints of realistic radiofrequency array concepts tailored for cardiovascular MRI at 7.0T, 10.5T, and 14.0T. For this purpose electromagnetic field simulations were performed using 32, 48 and 64-channel RF transceiver array configurations at 7.0T, 10.5T, and 14.0T. Our findings demonstrate, that a higher channel count increases the degrees of freedom of B1+ shaping. Furthermore, the preliminary results provide a strong mandate for static PTX or even dynamic PTX tailored at the heart at 10.5T and 14.0T. |
| 1570 | Computer 25
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Scalable and Modular 8-Channel Transmit and 8-Channel Flexible Receive Coil Array for 19F-MRI of Myocardial Infarction Studies in Large Animals |
| Ali Caglar Özen1, Johannes Fischer1, Simon Reiss1, Thomas Lottner1, Alexander Maier2, Waldemar Schimpf3, Timo Heidt2, Constantin von zur Mühlen2, and Michael Bock1 | ||
1Dept. Radiology, Medical Physics, Medical Center - University of Freiburg, Freiburg, Germany, 2Cardiology and Angiology I, Heart Center Freiburg University and Faculty of Medicine, Freiburg, Germany, 3Neurozentrum, Wissenschaftliche Werkstätten, Medical Center - University of Freiburg, Freiburg, Germany |
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In this study, we have developed an 8-channel transmit/ 8-channel receive coil array system for cardiac and thoracic MRI in pigs. Transmit array is scalable in size to increase transmit efficiency in pigs with smaller abdomen size. Receive array is semi-flexible to fit tightly on the dome-shaped thorax of pigs. We present a detailed transmit efficiency analysis of the Tx array including tolerance to mismatches at the input ports. We also present 19F MRI results from a cadaver measurement. |
| 1571 | Computer 26
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3D Whole Heart Grey-blood PSIR Imaging After Slow Infusion and Bolus Injection for High-resolution Isotropic LGE Imaging |
| Alina Schneider1, Reza Hajhosseiny1, Camila Munoz1, Giorgia Milotta2, Karl P Kunze1,3, Radhouene Neji1,3, Amedeo Chiribiri1, Pier Giorgio Masci1, René M Botnar1, and Claudia Prieto1 | ||
1School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 2Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom, 3MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom |
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3D whole-heart free breathing water/fat non-rigid motion corrected grey-blood PSIR LGE technique has been recently proposed showing good agreement with conventional 2D grey-blood LGE MRI. Due to the relatively long scan time of ~10 minutes, contrast washout may influence scar detection and limit spatial resolution. Here we compare the proposed 3D grey-blood PSIR LGE after slow infusion and bolus injection at high isotropic spatial resolution to evaluate the benefit of the slow infusion injection. Both pipelines were compared to the conventional breath-held 2D grey blood PSIR-LGE imaging technique. Overall higher quality scores were observed in images acquired after slow infusion. |
| 1572 | Computer 27
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Preliminary Clinical Validation of Non-rigid Motion-compensated 3D Whole-heart T2 mapping in a hybrid PET-MR system |
| Alina Schneider1, Camila Munoz1, Alina Hua1, Karl P Kunze1,2, Radhouene Neji1,2, Tevfik F Ismail1, René M Botnar1, and Claudia Prieto1 | ||
1School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 2MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom |
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Simultaneous 18F-FDG PET-MRI has shown promise for improved diagnostic accuracy of inflammatory cardiac diseases. However, respiratory motion and mis-registration between free-breathing 3D PET and 2D breath-held MR images remain challenges that have hindered its clinical adoption. We have recently proposed a free-breathing non-rigid motion-compensated 3D whole-heart T2-mapping that enables detection of myocardial inflammation and provides non-rigid respiratory motion fields to correct simultaneously acquired PET data in a 3T PET-MR system. Here, we perform a preliminary clinical validation of this approach in 8 patients with suspected cardiovascular disease. Good image quality with T2 values comparable to clinical 2D T2-mapping was achieved. |
| 1573 | Computer 28
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Interventional continuous cardiac thermometry via simultaneous catheter tracking and undersampled radial golden angle acquisition |
| Maxime Yon1,2, Marylène Delcey1,2, Pierre Bour1,2, William Grissom3, Bruno Quesson1,2, and Valéry Ozenne1,2 | ||
1Electrophysiology and Heart Modeling Institute, Pessac, France, 2U1045, Centre de Recherche Cardio-Thoracique de Bordeaux Inserm, Bordeaux, France, 3Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States |
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Interventional MR thermometry has the potential to increase the success rate of the radio-frequency cardiac ablative procedure by allowing real-time monitoring of the lesion growth. Available methods are dependent on ECG-gating, which is poorly reliable in arrhythmic conditions. We propose a new approach based on radial continuous gradient echo acquisition combined with concomitant 2D intra-scan motion correction and direct estimation of the temperature from k-space data which could be a robust alternative to the more classical but ECG-triggered and artifact-prone EPI methods. |
| 1574 | Computer 29
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Interleaved radial linear combination SSFP for improved cine imaging with implanted cardiac devices |
| Jie Xiang1, Jerome Lamy2, Rachel Lampert3, and Dana C. Peters1,2 | ||
1Department of Biomedical Engineering, Yale University, New Haven, CT, United States, 2Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, United States, 3Department of Medicine, Cardiovascular Division, Yale University, New Haven, CT, United States |
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Interleaved undersampled radial linear-combination balanced SSFP (LC-SSFP) was investigated as a method for improving cardiac cine images, acquired in subjects with metallic implants. Phantoms and healthy volunteer studies were performed, in the presence of metallic artifacts (generated by a stainless steel bolt). We found the proposed method eliminated some artifacts seen using standard Cartesian bSSFP. These findings may lead to improved cardiac cine imaging for patients with a pacemaker or implantable cardioverter defibrillator (ICD). |
| 1575 | Computer 30
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Reproducibility of Left Ventricular CINE DENSE Strain in Pediatric Subjects with Duchenne Muscular Dystrophy |
| Zhan-Qiu Liu1,2, Nyasha Maforo3, Pierangelo Renella3, Nancy Halnon3, Holden Wu3, and Daniel Ennis4 | ||
1Cardiovascular Institute, Stanford University, Mountain View, CA, United States, 2Department of Radiology, Stanford University, Stanford, CA, United States, 3University of California, Los Angeles, Los Angeles, CA, United States, 4Stanford University, Mountain View, CA, United States |
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Left ventricular (LV) peak mid-wall circumferential strain (Ecc) and twist are early biomarkers for evaluating the subtle and highly variable onset and progression of cardiomyopathy in pediatric subjects with Duchenne muscular dystrophy (DMD). Cine Displacement Encoding with Stimulated Echoes (DENSE) has proven sensitive to changes in Ecc and twist, but has not been reported in a DMD cohort. We show that free-breathing DENSE CMR at 3T provides highly reproducible middle-ventricular Ecc, radial strain (Err), and twist measurements in healthy boys and boys with DMD without evidence of late gadolinium enhancement. |
| 1576 | Computer 31
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Biophysical-Model Based Synthesis of Cine CMR of Healthy and Pathological Left-Ventricular Function |
| Stefano Buoso1, Thomas Joyce1, and Sebastian Kozerke1 | ||
1Institute of Biomedical Engineering, ETH Zurich and University of Zurich, Zurich, Switzerland |
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We propose to augment MRXCAT with left-ventricular anatomies and function, representing realistic population statistics, to enable design and validation of CMR imaging and inference approaches. A variational autoencoder is deployed to identify parametric anatomical representations from a cohort of healthy and diseased anatomies to allow for the generation of new synthetic anatomies. Cardiac function is simulated using a biophysical model also incorporating local tissue defects. The resulting ventricular tissue masks are enriched with background information from XCAT. Synthetic MR images are generated using MRXCAT, making available paired data of CMR images and (patho)physiological parameters including ground-truth ventricular strains and displacements. |
| 1577 | Computer 32
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The left atrial function in hypertension patients with left ventricular diastolic dysfunction：A myocardial MR strain study |
| Jinyang Wen1, Xin Zhang1, Lianggeng Gong1, Jiankun Dai2, and Long Qian2 | ||
1Radiology, The Second Affiliated Hospital of Nanchang University, Nanchang, China, 2MR Research, GE Healthcare, Beijing, China |
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Heart failure with preserved ejection fraction（HFpEF）was evaluated by echocardiography commonly. In this study, we try to use Cardiovascular Magnetic Resonance Tissue-Tracking (CMR-TT) to assess left atrial (LA) function in hypertension patients (HP) with left ventricular diastolic dysfunction (LVDD). The results demonstrated that LA myocardial function decreased in HP with LVDD. LA myocardial strain parameters could detect sensitively the myocardial deformation of LVDD in HP. Total strain(εs) parameter was an excellent parameter for diagnose HFpEF and evaluating the degree of LVDD. |
| 1578 | Computer 33
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Hybrid PET/MRI Dual-Condition Framework for Response Monitoring in Myocardial Infarction |
| Fayez Habach1,2, Jennifer Barry3, Melissa Larsen3, Marne Jamieson4, Amit Singnurkar5, Michael Laflamme6, and Nilesh Ghugre1,2 | ||
1Medical Biophysics, University of Toronto, Toronto, ON, Canada, 2Physical Sciences, Sunnybrook Research Institute, Toronto, ON, Canada, 3Schulich Heart Research Program, Sunnybrook Research Institute, Toronto, ON, Canada, 4Nuclear Medicine, Sunnybrook Health Sciences Centre, Toronto, ON, Canada, 5Medical Imaging, Sunnybrook Health Sciences Centre, Toronto, ON, Canada, 6Mcewen Stem Cell Institute, University Health Network, Toronto, ON, Canada |
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Hybrid PET/MRI is a promising tool that can characterize both metabolic and structural information and has been used extensively in the context of MI-related heart failure. We propose a novel dual-condition protocol that can be used to characterize metabolic state of cardiac tissue in vivo following MI, under different substrate conditions. Our results show significant metabolic changes under fasting and glucose loading conditions, and further longitudinal differences in MI-related metabolic remodeling within both the infarct zone and surrounding myocardium. This framework has potential to be used in testing therapeutic efficacy following MI in both preclinical and clinical contexts. |
| 1579 | Computer 34
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Deep learning voxelwise classification of primary central nervous system lymphoma using DSC-PWI normalized time-intensity curves |
| Alonso Garcia-Ruiz1, Albert Pons-Escoda2, Francesco Grussu1, Pablo Naval-Baudin2, Camilo Monreal1, Antonio Lopez-Rueda3, Laura Oleaga3, Carlos Majos2, and Raquel Perez-Lopez1 | ||
1Vall d'Hebron Institute of Oncology, Barcelona, Spain, 2Bellvitge University Hospital, L'Hospitalet de Llobregat, Spain, 3Hospital Clínic de Barcelona, Barcelona, Spain |
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The robustness and accuracy of current MR methods to differentiate brain tumours is limited. In this study we investigate the potential of dynamic susceptibility perfusion-weighted imaging (DSC-PWI) normalized time-intensity-curves (nTIC) to support lymphoma diagnosis by harnessing voxelwise and temporal information to train a convolutional neural network (CNN). This novel approach discriminated patients with lymphoma from glioblastoma and metastasis with an average accuracy of 0.94, using only a limited number of patients for training, outperforming standard DSC-PWI measurements. Furthermore, it provides voxel-by-voxel lymphoma probability maps to further help visual diagnosis of neuroradiologists. |
| 1580 | Computer 35
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DCE-MRI kinetic models for measuring subtle blood-brain barrier leakage– the importance of modelling finite interstitial volume fraction |
| Martin Kozár1,2, Sarah Al-Bachari3, Geoff J. M. Parker4,5, Laura M. Parkes1,2, and Ben R. Dickie2,6 | ||
1Division of Neuroscience and Experimental Psychology, The University of Manchester, Manchester, United Kingdom, 2Geoffrey Jefferson Brain Research Centre, The University of Manchester, Manchester, United Kingdom, 3Faculty of Health and Medicine, The University of Lancaster, Lancaster, United Kingdom, 4Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 5Bioxydyn Limited, Manchester, United Kingdom, 6Division of Informatics, Imaging and Data Science, The University of Manchester, Manchester, United Kingdom |
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The Patlak model is commonly applied to brain DCE-MRI to quantify subtle blood-brain barrier permeability. This is based on existing evidence showing the Patlak model provides the optimal fit compared to other candidate models, including the extended Tofts model (Heye, Thrippleton et al. 2016). In this study, we compared five different tracer kinetic models in data with higher temporal resolution and determined that models which assume finite interstitial volume (ve) (e.g. extended Tofts) consistently outperform models that assume infinite ve (e.g. Patlak), particularly in gray matter. |
| 1581 | Computer 36
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To what extent is DSC-MRI able to detect subtle blood-brain barrier leakage in cerebral small-vessel disease? |
| Elles Elschot1,2, Walter Backes1,2,3, Joost de Jong1,2, Gerhard Drenthen1,2, Sau May Wong1, Julie Staals3,4, Robert van Oostenbrugge2,3,4, Rob Rouhl4, and Jacobus Jansen1,2,5 | ||
1Radiology and Nuclear Medicine, Maastricht University Medical Center +, Maastricht, Netherlands, 2School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands, 3CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, Netherlands, 4Neurology, Maastricht University Medical Center +, Maastricht, Netherlands, 5Electrical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands |
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This study investigated to what extent blood-brain barrier (BBB) leakage (1) can be measured with DSC-MRI and (2) is influenced by perfusion. In vivo DCE (golden-standard) and DSC data of patients with cerebral small vessel disease (cSVD) and elderly controls were used, as well as simulations of signal curves. DSC-MRI, in contrast to DCE-MRI, is not sensitive enough to measure subtle leakage in cSVD. Further research is required to better disentangle perfusion effects from leakage, and therefore correction methods should be used with caution for measuring subtle leakage. |
| 1582 | Computer 37
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Arterial Input Function Estimation Using All-Channel Blind Deconvolution with Spatial Regularization in DCE-MRI |
| Radovan Jirik1, Michal Bartos2, Ondrej Macicek1, and Zenon Starcuk, jr.1 | ||
1Institute of Scientific Instruments, Czech Academy of Sciences, Brno, Czech Republic, 2Institute of Information Theory and Automation, Czech Academy of Sciences, Praha, Czech Republic |
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This work is focused on estimation of an arterial input function (AIF) in DCE-MRI. We propose a new concept of blind deconvolution to use as much available information as possible. In contrast to multi-channel blind deconvolution based on processing of selected tissue signals, our all-channel blind deconvolution uses tissue signals of all voxels within the studied tissue to simultaneously estimate the AIF and perfusion maps. In addition, edge-preserving spatial regularization is included in the perfusion-map estimation scheme. The method is illustrated on DCE-MRI recordings of tumor-bearing mice. |
| 1583 | Computer 38
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Combining DCE and DSC-MRI in Arterial Input Function Estimation Using Multi-Channel Blind Deconvolution |
| Ondrej Macicek1, Radovan Jirik1, Peter Latta2, and Zenon Starcuk jr.1 | ||
1Institute of Scientific Instruments of the Czech Academy of Sciences, Brno, Czech Republic, 2Central European Institute of Technology, Masaryk University, Brno, Czech Republic |
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We propose to combine DCE and DSC-MRI in a simultaneous acquisition and processing scheme to provide more information for estimation of the arterial input function using multi-channel blind deconvolution. On simulated and flow-phantom data, we show that DCE-DSC blind deconvolution is superior to standard DCE blind deconvolution, especially for low signal-to-noise-ratio conditions. |
| 1584 | Computer 39
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Comparison of arterial input functions obtained through back-to-back acquisition of DCE and DSC MRI |
| Chih-Hsien Tseng1, Jaap Jaspers2, Alejandra Mendez Romero2, Piotr Wielopolski3, Matthias van Osch 4, and Frans Vos1,3 | ||
1Imaging Physics, Delft University of Technology, Delft, Netherlands, 2Radiation Oncology, Erasmus Medical Center, Rotterdam, Netherlands, 3Radiology, Erasmus Medical Center, Rotterdam, Netherlands, 4Radiology, Leiden University Medical Center, Leiden, Netherlands |
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We aimed to compare the AIF determined from DCE-MRI with the AIF from DSC-MRI in back-to-back imaging, using the same dose of Gadobutrol. The DCE-driven AIFs showed the same ‘pattern’ as the DSC-driven AIFs, but had smaller variance of the shape and peak value. A linear relation was found between the contrast agent concentration from DCE and ΔR2*, but the linear coefficients showed large variation across regions and subjects. Our findings show that the DCE-driven AIF has the potential to serve as an alternative for the DSC-driven AIFs for quantitative perfusion assessment. |
| 1585 | Computer 40
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Accuracy of quantitative DCE-MRI depends on the implementation of the convolution operation |
| Zaki Ahmed1,2 and Ives R. Levesque2,3 | ||
1Department of Radiology, Mayo Clinic, Rochester, MN, United States, 2Medical Physics Unit, McGill University, Montreal, QC, Canada, 3Research Institute of the McGill University Health Centre, Montreal, QC, Canada |
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Quantitative DCE-MRI analysis requires fitting a model to the acquired enhancing time-course data. These models involve a convolution operation, which has a variety of possible implementations. The goal of this work was to evaluate three different implementations of the convolution operation: (i) Fourier, (ii) Summation, (iii) Iterative. The accuracy and execution time of each implementation was compared on a virtual phantom. It was found that the iterative technique was the fastest while also having the best overall accuracy. |
| 1586 | Computer 41
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The effect of k-space sampling patterns on contrast agent uptake curves in dynamic contrast-enhanced MRI of the breast |
| Owen Alun White1, Evanthia Kousi1, Clarrissa Sanders2, and Maria Angelica Schmidt1 | ||
1Radioisotope & Imaging Physics, The Royal Marsden NHS Foundation Trust, London, United Kingdom, 2St George's University Hospital NHS Foundation Trust, London, United Kingdom |
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Here we propose a novel method to assess the effect of different k-space sampling patterns on contrast agent uptake curves (CAUCs), which does not require specialist equipment. These effects on CAUCs are often overlooked, and must be addressed in the context of the many different national and international recommendations, and the prominence given to abbreviated DCE protocols. We validated the method to assess different k-space sampling patterns and used it to simulate the effect on contrast-agent uptake curves. We show that conventional protocols acquiring each frame in approximately 60s have more robust CAUC classification than abbreviated protocols. |
| 1587 | Computer 42
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Acquiring perfusion maps from contrast-enhanced MRA using deep learning approaches |
| Muhammad Asaduddin1, Hong Gee Roh2, Hyun Jeong Kim3, Eung Yeop Kim4, and Sung-Hong Park1 | ||
1Korea Advanced Institute of Science and Technology, Daejeon, Korea, Republic of, 2Department of Radiology, Konkuk University Medical Center, Seoul, Korea, Republic of, 3Department of Radiology, Daejeon St. Mary's Hospital, The catholic University of Korea, Daejeon, Korea, Republic of, 4Department of Radiology, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea, Republic of |
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Perfusion maps and dynamic angiograms are both important for stroke/tumor treatment but commonly acquired in separate scans and thus may require additional injection of contrast agent for best results. In this work, we present a deep learning method to acquire perfusion maps from contrast-enhanced MRA data. Our results showed that an architecture of multiple decoders and an enhanced encoder produced perfusion maps that were visually and quantitatively similar to the standard DSC MRI-based perfusion maps. This approach enables us to acquire accurate perfusion maps and angiogram using a single contrast agent injection, reducing costs and risks while improving patient comfort. |
| 1646 | Computer 15
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Trajectory correction enables Free running cardiac DIXON at 3T |
| Pierre Daudé1,2, Thomas Troalen3, Adèle L C Mackowiak4,5, Davide Piccini4,6, Jerôme Yerly4,5, Josef Pfeuffer7, Frank Kober1,2, Sylviane Confort Gouny1,2, Monique Bernard1,2, Matthias Stuber4,5, Jessica A M Bastiaansen4,5,8,9, and Stanislas Rapacchi1,2 | ||
1Aix-Marseille Univ, CNRS, CRMBM, Marseille, France, 2APHM, Hôpital Universitaire Timone, CEMEREM, Marseille, France, 3Siemens Healthcare SAS, Saint-Denis, France, 4Department of Diagnostic and Interventional Radiology, Lausanne University Hospital, Lausanne, Switzerland, 5Center for Biomedical Imaging, Lausanne, Switzerland, 6Advanced Clinical Imaging Technology, Siemens Healthcare, Lausanne, Switzerland, 7Siemens Healthcare, MR Application Development, Erlangen, Germany, 8Department of Diagnostic, Interventional and Pediatric Radiology, Bern University Hospital (Inselspital), Bern, Switzerland, 9Translational Imaging Center, sitem-insel, Bern, Switzerland |
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Free-running cardiac DIXON-MRI has potential for T2*/PDFF quantification to explore cardiac fat accumulation and alteration in metabolic diseases. DIXON at 3T suffers from rapid fat-water phase accrual and inhomogeneous B0. Consequently, bipolar echoes, as opposed to monopolar, are required to achieve equal/shorter than in-phase/out-of-phase echo spacing. However, distortions occur between even and odd echoes due to gradients imperfections. Thus, the existing framework was extended with a k-space trajectory correction based on gradient impulse response function(GIRF). Both monopolar or bipolar echoes without GIRF correction resulted in fat-water swaps and unreliable quantitative maps, that were resolved using GIRF-corrected bipolar free-running DIXON. |
| 1647 | Computer 16
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SLAM reconstruction of 31P Cardiac MRS Improves PCr/ATP Repeatability Without Requiring Cardiac Gating |
| Andrew Tyler1,2, Moritz Hundertmark1, Jack J. Miller1,2,3,4, Oliver J. Rider1, Damian J. Tyler1,2, and Ladislav Valkovic1 | ||
1OCMR, University of Oxford, Oxford, United Kingdom, 2Department of Physiology, Anatomy & Genetics, University of Oxford, Oxford, United Kingdom, 3Department of Physics, University of Oxford, Oxford, United Kingdom, 4The MR Research Centre, Aarhus University, Aarhus, Denmark |
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Using the SLAM algorithm to reconstruct non-gated acquisition weighted 31P cardiac CSI data-sets improved repeatability by 35% and reduced variation by 23%, compared to a Fourier based reconstruction of the same data-set, without requiring a change to acquisition protocol. |
| 1648 | Computer 17
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A Cross-Species Approach for Noninvasive in Vivo Tracking of Neutrophil Dynamics upon Cardiovascular Injury by 1H/19F MRI |
| Pascal Bouvain1, Sebastian Temme1, Maria Grandoch1, and Ulrich Flögel1 | ||
1Heinrich Heine University, Düsseldorf, Germany |
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Intravenous 19F tracer application for in vivo labelling of neutrophils prior to injury allowed the non-invasive 3D visualization of neutrophils within their different hematopoietic niches over the entire body and the subsequent monitoring of their egress into affected tissues. Stimulated murine/human neutrophils exhibited enhanced labelling which could be exploited as an in vivo readout for their activation state in both sterile and nonsterile cardiovascular inflammation. In summary, the present study demonstrates that both human and murine neutrophils can be specifically targeted to track their dynamic trafficking by non-invasive 1H/19F MRI in vivo. |
| 1649 | Computer 18
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Inversion Recovery Based Magnetization Transfer Mapping in the Human Myocardium In the presence of Incomplete Bound Pool Saturation at 3T |
| Sebastian Weingärtner1, Ömer Burak Demirel2, Qian Tao1, Joao Tourais1, and Mehmet Akcakaya2 | ||
1Department of Imaging Physics, Delft University of Technology, Delft, Netherlands, 2Department of Electrical and Computer Engineering and Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States |
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Quantitative imaging of magnetization transfer (MT) may enable non-contrast assessment of myocardial scar and fibrosis. However, its application at 3T has so far been limited. In this work we investigate an inversion recovery based method for joint quantification of T1 and MT maps. A numerical binary spin-bath model is used to account for incomplete bound pool saturation in the presence of limited preparation durations. In vivo images were obtained with high visual map quality for both T1 and MT quantification, and comparable, low CoV across the two parameters (T1: 5.5+-0.6% and MT: 5.8+-0.9%). |
| 1650 | Computer 19
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Numerical optimization of 5D cardiac and respiratory motion-resolved CMR imaging for the assessment of left ventricular function |
| Jérôme Yerly1,2, Christopher W Roy1, Bastien Milani1, Davide Piccini1,3, Aurélien Bustin1,4,5, Mariana B.L. Falcão1, Ruud B. van Heeswijk1, and Matthias Stuber1,2,4 | ||
1Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 2CIBM Center for Biomedical Imaging, Lausanne, Switzerland, 3Advanced Clinical Imaging Technology, Siemens Healthcare, Lausanne, Switzerland, 4Electrophysiology and Heart Modeling Institute, IHU LIRYC, Bordeaux, France, 5Cardiovascular Imaging, Hôpital Cardiologique du Haut-Lévêque, CHU de Bordeaux, Bordeaux, France |
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The free-running framework (FRF) was recently proposed to address the limitations of current techniques to assess left ventricular (LV) ejection fraction (LVEF). However, the accuracy of FRF to assess LVEF has yet to be quantitatively examined. This work rigorously quantifies and optimizes the effect of the regularization weights on LVEF and several image quality metrics using a numerical phantom with well-controlled boundary conditions, and validates the results in in-vivo 5D FRF data. The results demonstrated that the combination of regularization weights that are optimal in terms of image quality do not correspond to the optimal weights for LVEF assessment. |
| 1651 | Computer 20
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Isotropic fixed time 3D late gadolinium enhancement MRI for left atrial fibrosis imaging |
| Ganesh Adluru1,2, Jason Mendes1, Ravi Ranjan3, Eugene Kholmovski1,4, and Edward V.R. DiBella1,2 | ||
1Radiology & Imaging Sciences, University of Utah, Salt Lake City, UT, United States, 2Biomedical Engineering, University of Utah, Salt Lake City, UT, United States, 3Internal Medicine, University of Utah, Salt Lake City, UT, United States, 4Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States |
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Left atrial late gadolinium enhancement imaging is a promising tool to identify scar and fibrosis. Existing acquisition and reconstruction methods can suffer from long scan time, poor image quality, and inability to accurately quantify the fibrosis. Here we propose a fixed time isotropic imaging of the left atrium with a resolution of 1.25mm3. We use retrospective respiratory navigation to remove inconsistent data due to motion and use a constrained reconstruction framework with total variation and 3D block-matching regularizers to remove the data undersampling artifacts. Promising results showing gains from the isotropic acquisitions are presented in canine and human studies. |
| 1652 | Computer 21
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Single Breath-hold Simultaneous T2 and TRAFF2 mapping for approximate Spin-lock Dispersion Mapping in the Myocardium at 3T |
| Joao Tourais1, Omer Burak Demirel2, Qian Tao3, Iain Pierce4, George Thornton4, Thomas Treibel4, Sebastian Weingärtner1, and Mehmet Akcakaya2 | ||
1Imaging Physics, Delft University of Technology (TU Delft), Delft, Netherlands, 2Department for Electrical and Computer Engineering, and Center for Magnetic Resonance Research, University of Minnesota, Minnesota, MN, United States, 3Delft University of Technology (TU Delft), Delft, Netherlands, 4Barts heart centre, Barts Health NHS Trust, London, United Kingdom |
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Spin-lock dispersion is a promising biomarker for the assessment of myocardial infarction. However, at 3T, the required range of T1⍴ maps acquired at different amplitudes suffers from specific absorption rate (SAR) limitations and off-resonance artifacts. Relaxation Along a Fictitious Field (RAFF) is an alternative to SL preparations with lower SAR requirements while still sampling relaxation in the rotating frame. Thus, a single breath-hold simultaneous TRAFF2 and T2 mapping sequence is proposed for sl dispersion mapping at 3T. High visual quality maps and accurate T2, TRAFF2, and SL dispersion values are achieved with the proposed sequence in phantoms and in vivo. |
| 1653 | Computer 22
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Enabling Pilot Tone cardiac triggering for complete cardiac examinations using an RF calibration procedure |
| Peter Speier1, Yan Tu Huang2, Carmel Hayes1, Randall Kroeker1, Manuela Rick1, Michael Schwertfeger3, and Mario Bacher1 | ||
1Siemens Healthcare, Erlangen, Germany, 2Siemens Healthcare, Shenzen, China, 3ASTRUM IT GmbH, Erlangen, Germany |
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Contactless cardiac triggering using Pilot Tone was initially demonstrated for steady-state triggered cine-type sequences that, per definition, are performed with continuous, uniform RF pulses. Here we describe a method that stabilizes Pilot Tone cardiac triggering in the presence of RF artefacts, thereby allowing for pilot tone triggering of complete cardiac MR examinations with a range of sequence flavors including those applying RF pulses intermittently. The method uses an additional RF calibration measurement and avoids the RF artefact subspace in a PCA-based multi-channel coil combination calculation. Signal examples at 1.5T demonstrate effective RF suppression. |
| 1654 | Computer 23
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Free-breathing pseudo-golden-angle bSSFP cine cardiac MRI for evaluation of biventricular function in patients with congenital heart disease |
| Dmitrij Kravchenko1, Alexander Isaak1, Shuo Zhang2, Narine Mesropyan1, Leon M. Bischoff1, Thomas Vollbrecht1, Oliver Weber2, Claus Christian Pieper1, Daniel Kuetting1, Christopher Hart3, Ulrike Attenberger1, and Julian Luetkens1 | ||
1Diagnostic and interventional radiology, University Hospital Bonn, Bonn, Germany, 2Philips GmbH DACH, Hamburg, Germany, 3Pediatric Cardiology, University Hospital Bonn, Bonn, Germany |
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Cardiac MRI is currently the standard imaging modality for patients with congenital heart disease (CHD). However, the requirement for breath holds remains a big challenge in clinical practice and image quality is often significantly degraded by respiratory motion artifacts. We employed respiratory-triggered pseudo-golden-angle bSSFP imaging for free-breathing cine MRI and compared cardiac volumetry, function, and image quality with the standard breath hold technique. The proposed method showed good agreement with comparable diagnostic image quality and advantage in patients with limited breath hold capability. These demonstrated promise for a wider clinical routine application in patients with CHD. |
| 1655 | Computer 24
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Rapid and Robust Assessment of Circumferential Strain Recovery via Tagged MRI of Infarcted Pig Hearts After Human Cardiomyocyte Transplantation |
| Anna V Naumova1 and William S Kerwin1 | ||
1Radiology, University of Washington, Seattle, WA, United States |
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A new straight forward approach for rapid and robust quantification of myocardial circumferential strain has been developed. The key to this method is placement of the linear tags in 60-degree pattern offsets and alignment of the tags with the AHA segments for optimized segmental analysis. The approach has been implemented for the first time for evaluation of the human cardiomyocyte transplantation benefits in the infarcted pig heart. We have shown the temporal changes in circumferential strain and strain rate of the infarcted segments of myocardium and recovery of myocardial strain followed human cardiomyocyte transplantation in comparison with untreated control group. |
| 1656 | Computer 25
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An SSFP-SPGR Multi-sequence Cardiac Cine-Tag Acquisition Approach in One Breath-hold |
| Jacob P. Goes1, Vivian S. Nguyen1, Donovan Gorre2, Narutoshi Hibino3, Hui Wang4,5, Marcella K. Vaicik1, Amit R. Patel6, and Keigo Kawaji1,6 | ||
1Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, United States, 2Radiology, University of Chicago Medical Center, Chicago, IL, United States, 3Surgery, University of Chicago Medical Center, Chicago, IL, United States, 4Philips, Gainesville, FL, United States, 5Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 6Medicine - Cardiology, University of Chicago Medical Center, Chicago, IL, United States |
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Multi-Contrast single breath-hold acquisition for cardiac MRI is highly desirable but is rate-limited by the need for a dedicated pre-scan per each acquisition. We revisit the notion of the necessary conditions for repeated preparation calibration steps, with the intent of loosening or selectively bypassing them in consecutive scan acquisitions. Under matched geometric conditions that account for sensitivities especially to off-resonance, we propose a simple bSSFP-SPGR based dual-acquisition method with a single intensive Cine calibration followed by a truncated SPGR calibration. This approach is demonstrated as Cine-Tag SSFP-SPGR CMR method that allows for one breath-hold functional acquisition of both scan sequences. |
| 1657 | Computer 26
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Sample Extraction of ex vivo Myocardial Tissue: Combination of High Resolution MRI with 3D-printed Guides |
| Simon Reiss1, Johannes Fischer1, Julien Thielmann2, Thomas Lottner1, Timo Heidt2, Constantin von zur Mühlen2, and Michael Bock1 | ||
1Dept. of Radiology, Medical Physics, Medical Center University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany, 2Dept. of Cardiology and Angiology I, University Hospital Freiburg and Faculty of Medicine, University of Freiburg, Freiburg, Germany |
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Magnetic resonance provides a multitude of imaging techniques to detect and characterize myocardial infarction (MI). Terminal animal studies are often performed in which CMR findings after MI are correlated to histology. However, precise manual extraction of tissue samples from a specific myocardial region defined by CMR is difficult. Here, we propose the use of 3D-printed guides for extraction of tissue samples from myocardial regions pre-defined on high resolution ex vivo CMR. Using the presented technique, histology findings can be correlated to the exact position within the MRI data set with a precision of < 1 mm. |
| 1658 | Computer 27
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Active Catheter Tracking Error Characterization for Minimally Invasive MR-Guided Cardiac Interventions |
| Arjun Gupta1, Labonny Biswas2, Jay Soni2, Brandon Coles1, Sebastian Ferguson2, Graham A. Wright3, and Nilesh R. Ghugre3 | ||
1Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada, 2Physical Science Platform, Sunnybrook Research Institute, Toronto, ON, Canada, 3Schulich Heart Program, Sunnybrook Research Institute, Toronto, ON, Canada |
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Minimally invasive cardiac interventions, such as ablation treatment for ventricular tachycardia and therapy delivery involving biologics (cells, genes, biomaterials) for the treatment of myocardial infarction, require a tracking accuracy of <5mm. Our study aimed to characterize the spatial error associated with MR-guided active catheter tracking under static conditions. In a 1.5T MR scanner, we tracked an ablation catheter at 48 different positions, all confined within the boundaries of where a typical human heart would be located. We found that the error was both minimized and maintained below our 5mm target when using a Hadamard multiplexed active tracking sequence. |
| 1659 | Computer 28
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Optimization of an RF array for cardiac magnetic resonance at 8.5 MHz |
| Gareth R Davies1, Robert S Stormont2, Lionel M Broche1, Dana K Dawson1, David J Lurie1, and P James Ross1 | ||
1Aberdeen Biomedical Imaging Centre, University of Aberdeen, Aberdeen, United Kingdom, 2GE Healthcare, Waukesha, WI, United States |
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The SNR and inter coil coupling properties of a range of litz wire coils, in conjunction with the circuitry to match the coils to a low impedance pre-amplifier, were examined. The results of these studies were combined with observations of SNR and coil coupling found in the images of phantoms, obtained with various array designs, to construct an RF array optimized for 0.2 T (8.5 MHz). The array has demonstrated its capability in acquiring cardiac images from human volunteers in our field cycling imager. |
| 1660 | Computer 29
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Effects of warm ischemia on myocardial metabolism: a normothermic perfused heart MRS study |
| Belinda Ding1, Liam A.J. Young1,2, Margaret Huang3,4, Aravinda Page5, Simon Messer5, Mike Murphy3, Justin Perkins6, Elizabeth Tunnicliffe2, Stephen Large5, Christopher T Rodgers1, and Jonathan R Weir-McCall5,7 | ||
1Wolfson Brain Imaging Centre, University of Cambridge, Cambridge, United Kingdom, 2Oxford Centre for Magnetic Resonance, University of Oxford, Oxford, United Kingdom, 3MRC Mitochondrial Unit, University of Cambridge, Cambridge, United Kingdom, 4Department of Surgery, University of Cambridge, Cambridge, United Kingdom, 5Royal Papworth Hospital, Cambridge, United Kingdom, 6Royal Veterinary College, London, United Kingdom, 7Department of Radiology, University of Cambridge, Cambridge, United Kingdom |
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Ischaemia-reperfusion injury is a key pathophysiological process driving cardiac injury in myocardial infarction, heart surgery and transplants. Succinate accumulation is a specific marker of ischaemic injury, and a potential therapeutic target to reduce reperfusion injury.Single-voxel proton spectra were acquired during normal perfusion and during ischaemia in three machine-perfused porcine hearts. During ischaemia, a peak was evident in the expected region of succinate, which was absent during normal perfusion. This was further examined in a phantom model which confirmed the peak location with concentration-signal correlation of R>0.999. MRS detection of succinate holds potential for the detection of ischaemia. |
| 1661 | Computer 30
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Texture Analysis Identifies Significant Pattern Differences in Pediatric Heart Transplant Recipients with and without Acute Rejection |
| Margaret Samyn1, Ke Yan2, Kristen George-Durrett3, Justin Godown3, Kimberly Crum3, Maryanne Christ4, Kak-Chen Chan4, Kak-Chen Chan4, David Bearl3, Debra Dodd3, Lazaro Hernandez4, Jonathan Soslow3, and Bruce Damon5 | ||
1Pediatrics, Medical College of Wisconsin, Milwaukee, WI, United States, 2Biostatistics, Medical College of Wisconsin, Milwaukee, WI, United States, 3Pediatrics, Division of Pediatric Cardiology, Vanderbilt University Medical Center, Nashville, TN, United States, 4Pediatric Cardiology, Joe DiMaggio Children’s Hospital at Memorial Healthcare System, Hollywood, FL, United States, 5Stephens Family Clinical Research Institute Carle Foundation Hospital, Urbana, IL, United States |
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Acute rejection (AR) continues to cause significant morbidity and mortality in pediatric heart transplant recipients (PHTx). Endomyocardial biopsy is the standard-of-care for diagnosis of AR, but it is invasive and associated with morbidity and mortality and can miss patchy AR. Cardiac magnetic resonance (CMR) was performed using parametric mapping and novel texture analysis to detect patterns of myocardial edema and fibrosis. Patients with AR had significant differences in texture analysis compared with patients without AR. CMR with texture analysis has potential as a non-invasive method for detection of AR in PHTx. |
| 1662 | Computer 31
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Cine Image Based Cardiac Disease Classification Using Random Forest Classifier and Graph Based Deep Learning Approach |
| Akos Varga-Szemes1, Teodora Chitiboi2, U. Joseph Schoepf1, Athira J Jacob2, Sayan Ghosal3, Fei Xiong4, Puneet Sharma2, Jonathan Aldinger1, and Tilman Emrich1 | ||
1Medical University of South Carolina, Charleston, SC, United States, 2Siemens Healthcare, Princeton, NJ, United States, 3Johns Hopkins University, Baltimore, MD, United States, 4Siemens Healthcare, Charleston, SC, United States |
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Existing work demonstrates the value of image-based cardiovascular diagnosis with AI. We aimed to develop and test a machine learning algorithm for cardiovascular disease classification based on cine image datasets of 570 consecutive patients. Disease classification was performed using a random forest (RF) classifier and a disease classification network based on graph attention networks. The fully automated deep learning algorithm showed high accuracy for cardiac disease classification based on cine images only. Such algorithm has the potential to improve the efficiency of the reading process, especially by identifying and filtering out patients with normal cardiac anatomy and function. |
| 1663 | Computer 32
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Evaluation of diastolic (dys-)function using CMR feature tracking in all four cardiac chambers |
| Ana Fehrmann1, David Maintz1, and Bettina Baeßler2 | ||
1Department of Radiology, University Hospital of Cologne, Cologne, Germany, 2Department of Radiology, University Hospital of Würzburg, Würzburg, Germany |
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Due to demographic changes, the prevalence of cardiac conditions predisposing to diastolic dysfunction (DD) is rising steadily. The main focus of non-invasive assessment of parameters for DD has been on left ventricular strain alterations. In this prospective study, we performed strain analysis of all 4 cardiac chambers using cardiac magnetic resonance feature tracking in patients with echocardiographically diagnosed DD and compared the results to a healthy control group. Left atrial strain parameters proved to be the most potent predictors of DD and allowed for a clear separation between patients and age-matched controls. |
| 1664 | Computer 33
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Rapid Variable Flip-angle T2 Quantification (RavFa-T2) of the Myocardium using Steady-state Free Precession: A Two-Center Study |
| Céline Marquet1,2,3, Jihye Jang1,2,4, Andrew J. Powell1,2, Brian Fonseca5,6, Lorna P. Browne5,6, and Mehdi H. Moghari5,6 | ||
1Harvard Medical School, Boston, MA, United States, 2Boston Children’s Hospital, Boston, MA, United States, 3Technical University of Munich, Munich, Germany, 4Philips Healthcare, Boston, MA, United States, 5University of Colorado, Aurora, CO, United States, 6Children’s Hospital Colorado, Aurora, CO, United States |
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We developed a novel method (RavFa-T2) for T2 quantification of myocardium using transient steady-state free precession (SSFP) with a variable flip angle scheme. RavFa-T2 was systematically analyzed based on a phantom and a two-center patient study. We show that RavFa-T2 yields accurate T2 estimates for the myocardium compared to the state-of-the-art method T2-Prep and reduces scan time to ≤4 seconds. |
| 1665 | Computer 34
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Strain-free in-vivo time dependent diffusion measures in the myocardium: A potential new biomarker ? |
| Ignasi Alemany1,2, Jan N Rose1, Pedro F. Ferreira2,3, Sonia Nielles-Vallespin2,3, Denis J. Doorly1, and Andrew D. Scott2,3 | ||
1Department of Aeronautics, Imperial College of London, London, United Kingdom, 2Cardiovascular Magnetic Resonance Unit, Royal Brompton Hospital, London, United Kingdom, 3National Heart and Lung Institute, Imperial College London, London, United Kingdom |
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Diffusion tensor cardiovascular magnetic resonance (DT-CMR) has proved to be a unique non-invasive method to investigate the myocardial microstructure. The time dependence of the diffusion tensor provides insights into the barriers that restrict free diffusion. We present a method to assess the time dependence of diffusion in the beating heart along with numerical simulations that demonstrate the sensitivity of this potential new biomarker to changes in myocardial microstructure including membrane permeability, extracellular volume fraction and cell hypertrophy. |
| 1666 | Computer 35
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Theoretical Considerations on Joint Inference of Cardiac Diffusion and Strain Tensors from second-order motion compensated cDTI Data |
| Jonathan Weine1, Stefano Buoso1, and Sebastian Kozerke1 | ||
1Institute for Biomedical Engineering, University and ETH Zurich, Zürich, Switzerland |
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Cardiac diffusion tensor imaging (cDTI) as well as cardiac strain imaging both offer invaluable information on the functional state of the heart. Acquiring both, takes too long to be clinically feasible. Free breathing, cDTI acquisition with second-order motion compensated diffusion encoding waveforms display residual phase variations, that encode higher orders of contractile motion during the diffusion encoding process. This work presents a theoretical framework on how to jointly infer strain and diffusion tensors from complex-valued cDTI data with varying trigger delays. |
| 1667 | Computer 36
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In Vivo Clinical Cardiac DTI in 5 minutes |
| Irvin Teh1, Christopher Kelly1, David Shelley2, Ana-Maria Poenar1, Sven Plein1, Erica Dall'Armellina1, Christopher Nguyen3,4, and Jürgen E. Schneider1 | ||
1Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom, 2Leeds Teaching Hospitals Trust, Leeds, United Kingdom, 3Massachusetts General Hospital, Harvard Medical School, Cardiovascular Research Center, Martinos Center for Biomedical Imaging, Charlestown, MA, United States, 4Health Science Technology, Harvard-MIT, Cambridge, MA, United States |
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There is strong interest in characterising the cardiac microstructure using in vivo cardiac diffusion tensor imaging (CDTI). However, its use in larger clinical studies is often hampered by long scan times. We sought to rationalise the scan parameters needed for a clinically feasible CDTI protocol, by comparing carefully subsampled data against a 24-minute reference dataset. A design strategy was identified based on maximising the number of diffusion-weighting (DW) directions, subject to minimum SNR requirements. Feasibility of a 5-minute protocol was demonstrated where NRMSE(MD) = 5.2±0.2%, NRMSE(FA) = 12.8±0.2%, RMSE(HA) = 5.5±0.4°, RMSE(absE2A) = 15.7±1.9°. |
| 1668 | Computer 37
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A groupwise registration & tractography framework for cardiac architecture description by diffusion MRI: application to ventricular junctions |
| Julie Magat1,2,3, Maxime Yon1,2,3, Yann Bihan-Poudec4, and Valéry Ozenne1,2,3,5 | ||
1IHU Liryc, Electrophysiology and Heart Modeling Institute, Foundation Bordeaux Université, Bordeaux, France, 2Univ. Bordeaux, Centre de recherche Cardio-Thoracique de Bordeaux, U1045, Bordeaux, France, 3INSERM, Centre de recherche Cardio-Thoracique de Bordeaux, U1045, Bordeaux, France, 4Institut des Sciences Cognitives Marc Jeannerod, CNRS UMR 5229, Université Claude Bernard Lyon I, Bron, France, 5Centre de Résonance Magnétique des Systèmes Biologiques, UMR 5536, CNRS/Université de Bordeaux, Bordeaux, France |
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In this study, we developed a groupwise registration and tractography framework to investigate the global myofiber arrangement of large mammalian sheep hearts. To demonstrate the potential application of the proposed method, a novel description of sub-regions in the intraventricular septum (IVS) is presented. The study focuses on one fiber-bundle in the posterior junction and three fiber-bundles in the anterior junction. |
| 1669 | Computer 38
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Accuracy of left ventricular function measurements using retro-gated real-time cine bSSFP cardiovascular magnetic resonance |
| Ben K Statton1, Alaine Berry1, Peter Kellman2, Hui Xue2, Stuart Cook3, and Declan O'Regan3 | ||
1MRC, London Institute of Medical Sciences, Imperial College London, London, United Kingdom, 2National Heart, Lung, and Blood Institute, National Institute of Health, Bethesda, MD, United States, 3MRC, London Institute of Medical Sciences, UKRI, London, United Kingdom |
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Cardiac magnetic resonance with a retrospective ECG-gated breath-hold cine stack is the reference standard for assessing LV volumes, however this technique is unsuitable for patients who cannot hold their breath or suffer arrhythmia. A potential solution is a “retro-gated” real-time sequence which is prospectively triggered to acquire 120 frames over multiple heartbeats in each slice. Images from a beat most closely matching the median beat length for the entire stack are then temporally interpolated to 30 output phases for each slice. This retro-gated method showed good agreement with the reference standard sequence in a cohort of healthy volunteers. |
| 1670 | Computer 39
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The relationship between cardiac fiber structure and regional function after myocardial infarction in rats |
| Bård Andre Bendiksen1,2,3, Einar Sjaastad Nordén1,2,3, Ivar Sjaastad1,2, Lili Zhang1,2, and Emil Knut Stenersen Espe1,2 | ||
1Institute for Experimental Medical Research, University of Oslo and Oslo University Hospital, Oslo, Norway, 2KG Jebsen Center for Cardiac Research, University of Oslo, Oslo, Norway, 3Oslo New University College, Oslo, Norway |
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Little is known about the relationship between cardiac function and myocardial fiber structure after myocardial infarction (MI). We hypothesized that post-MI remodeling of left ventricular fiber structure would be reflected in changes in the regional strains. Strains and cardiac fiber structure were measured using MRI in five rats with MI, and three sham-operated rats. Transmural variation in fiber helix angles was reduced adjacent to the infarct. This reduction was associated with reduced radial, longitudinal, and endocardial circumferential strain, and improved epicardial circumferential strain in the adjacent zone. Our findings emphasize the relevance of cardiac fiber structure remodeling after myocardial infarction. |
| 1671 | Computer 40
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Vascular supply affects hemodynamic responses to a hypercapnia cerebrovascular reactivity challenge assessed by BOLD-fMRI |
| Kayley Marchena-Romero1,2, Xiang Ji2, Andrew Centen2, Rosa Sommer2,3, Joel Ramirez2, Michael J Thrippleton4, Andrew Lim2,3, Joanna M Wardlaw4, Sandra E Black2, and Bradley J MacIntosh1,2 | ||
1Medical Biophysics, University of Toronto, Toronto, ON, Canada, 2Sunnybrook Research Institute, Toronto, ON, Canada, 3Institute of Medical Sciences, University of Toronto, Toronto, ON, Canada, 4Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom |
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Cerebrovascular reactivity (CVR) is a dynamic assessment of hemodynamic response during hypercapnia. Conventional CVR metrics provide a single estimate to summarize the dilatory response to CO2. We propose to isolate dilation and constriction responses to a CVR challenge measured by BOLD-fMRI and assess the effect of vascular supply on vasoreactivity. We show that vascular supply affects the hemodynamic response to hypercapnia, and that this effect varies over time in different clinical cohorts. This work suggests that the extraction of individual features embedded in a CVR challenge can help characterize cerebrovascular physiology in unique clinical cohorts. |
| 1672 | Computer 41
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Repeatability of cerebrovascular reactivity amplitude and timing estimates using a sinusoidal manipulation of end-tidal CO2 |
| Rachael C Stickland1, Kristina M Zvolanek1,2, and Molly G Bright1,2 | ||
1Physical Therapy and Human Movement Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States, 2Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL, United States |
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We assessed the repeatability of fMRI Cerebrovascular Reactivity (CVR) estimates using CO2 sinusoidal stimuli. We estimated BOLD-CVR amplitude and phase using a fast Fourier transform (FFT) analysis and a cross-correlation analysis (Rapidtide). Amplitude and delay maps showed sensible regional variations for both time-points, but participant variability was notable. CVR spatial correlations between time-points were higher after averaging within cortical parcels, compared to weak voxel-wise correlations. Qualitatively, Rapidtide achieved higher between-session correlations than FFT. GM average amplitudes agreed between time-points. At the correct spatial scale, with careful consideration of parameter scaling, this short stimulus is a viable CVR mapping option. |
| 1673 | Computer 42
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Respiration volume per time (RVT) as a surrogate for end-tidal CO2 to map hemodynamic lag with BOLD fMRI |
| Kristina M. Zvolanek1,2, Stefano Moia3, Rachael C. Stickland1, César Caballero-Gaudes3, and Molly G. Bright1,2 | ||
1Physical Therapy and Human Movement Sciences, Northwestern University, Chicago, IL, United States, 2Biomedical Engineering, Northwestern University, Evanston, IL, United States, 3Basque Center on Cognition, Brain and Language, Donostia, [Gipuzkoa], Spain |
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Using a breath-hold task to modulate end-tidal CO2 during a BOLD fMRI scan is an established method to map hemodynamic lag. However, end-tidal CO2 measurements may not be reliable in less compliant subjects and require additional monitoring equipment. We investigated whether a related metric, respiration volume per time (RVT) can be used as a surrogate for end-tidal CO2 by directly comparing the lag values derived from each physiological measurement. Similar spatial variation was observed in healthy adult participants, albeit with some degree of proportional bias, indicating respiration belt data can be used as an alternative to map hemodynamic lag. |
| 1674 | Computer 43
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Neuronal modulation in cerebrovascular reactivity measurements using a breath-hold task: a simultaneous EEG-fMRI study |
| Inês Esteves1, Beatriz Raposo1, Marta Xavier1, Ana R. Fouto1, Amparo Ruiz-Tagle1, Catarina Domingos1, Athanasios Vourvopoulos1, Nuno A. Silva2, Rita G. Nunes1, Raquel Gil-Gouveia3, Agostinho Rosa4, and Patrícia Figueiredo4 | ||
1ISR-Lisboa and Department of Bioengineering, Instituto Superior Técnico – Universidade de Lisboa, Lisboa, Portugal, 2Learning Health, Hospital da Luz, Lisboa, Portugal, 3Neurology Department, Hospital da Luz, Lisboa, Portugal, 4ISR-Lisboa and Department of Bioengineering, Instituto Superior Técnico – Universidade de Lisboa, Lisbon, Portugal |
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fMRI can be used to assess cerebrovascular reactivity by measuring BOLD changes during a breath hold task. This is assumed to be isometabolic so that BOLD changes cannot be attributed to neuronal activity. We performed simultaneous EEG-fMRI recordings during a breath-hold task to assess to what extent neuronal activity retrieved from the EEG may contribute to explain the BOLD signal variance that is usually interpreted as reactivity. We found that neuronal modulation measured by EEG band power did not explain significantly more BOLD variance across GM than PetCO2 changes, indicating that the associated fMRI measurements truly reflect cerebrovascular reactivity. |
| 1675 | Computer 44
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Impact of Acute Intermittent Hypoxia on BOLD fMRI measures of cerebrovascular reactivity |
| Mark Andrew Hoggarth1, Rachael C Stickland1, Kimberly J Hemmerling2, Milap Sandhu3,4, and Molly G Bright1,2 | ||
1Physical Therapy and Human Movement Sciences, Northwestern University, Chicago, IL, United States, 2Biomedical Engineering, Northwestern University, Chicago, IL, United States, 3Physical Medicine and Rehabilitation, Northwestern University, Chicago, IL, United States, 4Shirley Ryan AbilityLab, Chicago, IL, United States |
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We assess the effects of an emerging intervention for rehabilitation, termed acute intermittent hypoxia (AIH), on cerebrovascular reactivity (CVR) as measured with BOLD fMRI. Lag-optimized CVR was measured pre- and post-AIH using a breath-hold task paradigm in 8 healthy participants. Five participants achieved the target drop in oxygen saturation (SpO2) to 85%; 3 did not. Overall changes in group mean CVR were varied following AIH, slightly increasing for those who achieved the targeted SpO2, and decreasing in those who did not. This work motivates continued study of the effects of AIH interventions on CVR. |
| 1676 | Computer 45
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Self organization of breath-hold induced cerebrovascular BOLD fMRI responses reveals physiologically-driven brain parcellation and networks |
| Stefano Moia1, Molly G Bright2,3, and César Caballero-Gaudes1 | ||
1Basque Center on Cognition, Brain and Language, Donostia, Spain, 2Physical Therapy and Human Movement Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States, 3Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL, United States |
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Recent literature brought up the existence of physiological and vascular brain networks, i.e. areas showing synchronous responses to cardiac and respiratory fluctuations or hypercapnia. In this work, we show how breath-hold-induced BOLD fMRI time series from a dense mapping dataset can be parcellated into physiologically-driven networks, showing evidence of vascular contributions to the default mode network, in individuals and at the group level. |
| 1677 | Computer 46
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Repeatability of the BOLD-CVR experiment at 3 T with fixed inspired CO2 concentration gas stimulus |
| Emilie Sleight1,2, Michael S Stringer1,2, Madeleine Murphy3, Isla Mitchell3, Ian Marshall1,2, Joanna M Wardlaw1,2, and Michael J Thrippleton1,2 | ||
1Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom, 2UK Dementia Research Institute, University of Edinburgh, Edinburgh, United Kingdom, 3Edinburgh Imaging Facility Royal Infirmary of Edinburgh, University of Edinburgh, Edinburgh, United Kingdom |
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The BOLD response to a gas with fixed inspired CO2 concentration is commonly used to assess the health of the cerebral vasculature. Cerebrovascular reactivity (CVR) magnitude repeatability has been assessed in previous studies, but without reporting potential physiological confounders such as heart and respiration rates. Furthermore, less is known about CVR delay repeatability. In this work, we assessed the within-day test-retest repeatability of both quantities in healthy volunteers at 3 T while measuring the heart and respiration rates. We found that both show good repeatability, though CVR delay estimates are unreliable in tissues with low contrast to noise ratio. |
| 1678 | Computer 47
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Improving measures of cerebrovascular reactivity using a sinusoidal hypercapnic challenge and dual-echo pseudocontinuous ASL |
| Colette Clare Milbourn1 and Nicholas Paul Blockley2 | ||
1School of Life Sciences, University of Nottingham, Nottingham, United Kingdom, 2The School of Life Sciences, University of Nottingham, Nottingham, United Kingdom |
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New clinical tools are needed for the diagnosis and prognosis of cerebrovascular diseases. Cerebrovascular Reactivity (CVR) is a potential marker for brain health and can be induced using stressors to the brain like high carbon dioxide (hypercapnia) challenges. These challenges can be used to map CVR. Dual-echo pseudocontinuous Arterial Spin Labelling (pCASL) and Blood Oxygen Level Dependent (BOLD) weighted imaging was combined with sinusoidally modulated and conventional block hypercapnic challenges to map CVR. Preliminary results show qualtitative improvements to pCASL based CVR maps when using sinusoidal hypercapnic challenges compared with the conventional block. |
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Increased Iron Deposition in Gray Matter Nuclei in Patients with Intracranial Artery Stenosis Evaluated by Quantitative Susceptibility Mapping |
| Huimin Mao1, Weiqiang Dou2, Xinyi Wang1, Kunjian Chen1, and Yu Guo1 | ||
1Radiology, The First Affiliated Hospital of Shandong First Medical University, Jinan, China, 2MR Research China, GE Healthcare, Beijing, China |
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This study aimed to use quantitative susceptibility mapping (QSM) to systematically investigate iron content changes of gray matter (GM) nuclei in patients with long-term anterior circulation artery stenosis (ACAS) and posterior circulation artery stenosis (PCAS). The differences of iron-related susceptibility in GM nuclei, including bilateral caudate nucleus, putamen (PU), globus pallidus (GP), thalamus, substantia nigra (SN), red nucleus and dentate nucleus (DN) were explored in 25 ACAS and 25 PCAS patients. Compared with healthy controls, mean susceptibility of bilateral PU, GP, and SN in ACAS and PCAS patients, and of extra bilateral DN in PCAS patients were significantly increased. |
| 1745 | Computer 15
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Fatty Acid Composition MRI of Human Epicardial Adipose Tissue |
| Jack Echols1, Soham Shah1, and Frederick Epstein1 | ||
1Biomedical Engineering, University of Virginia, Charlottesville, VA, United States |
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Epicardial adipose tissue (EAT) fatty acid composition (FAC) plays an important role in coronary vascular inflammation due to obesity and diabetes. We show for the first time the feasibility of quantifying human EAT FAC using radial multi-echo gradient-echo MRI with IDEAL mapping. This method may enable further investigations into the relationship between EAT fatty acid composition and cardiovascular disease. |
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Brain iron deposition in patients with unilateral middle cerebral artery stenosis: an in vivo quantitative susceptibility mapping study |
| Huimin Mao1, Weiqiang Dou2, Xinyi Wang1, Kunjian Chen1, and Yu Guo1 | ||
1Radiology, The First Affiliated Hospital of Shandong First Medical University, Jinan, China, 2MR Research China, GE Healthcare, Beijing, China |
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The main purpose was to quantitatively evaluate iron alterations in gray matter (GM) nucleus of patients with unilateral middle cerebral artery stenosis (MCAS)-related ischemic stroke using quantitative susceptibility mapping (QSM). Forty-six unilateral MCAS patients and thirty-eight healthy controls underwent QSM examination. Iron-related susceptibility of GM nucleus, including bilateral caudate nucleus, putamen (PU), globus pallidus (GP), thalamus, substantia nigra (SN), red nucleus, and dentate nucleus were assessed. Compared with healthy controls, PU, GP, and SN regions at lesion side presented significantly increased susceptibility in patients, indicating that abnormal iron metabolism may present in the brain after ischemic stroke. |
| 1747 | Computer 17
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MULTI-CONTRAST ATHEROSCLEROSIS CHARACTERIZATION (MATCH) AND MULTI-SEQUENCE MRI IN QUANTIFYING CAROTID PLAQUE COMPOSITION |
| Mohamed Kassem1,2, Ellen Eline Boswijk1,2, Jochem van der Pol1,2, Rik PM Moonen2, Jan Bucerius3, Werner H Mess4, Robert Jan van Oostenbrugge1,5, Zhaoyang Fan6, and M Eline Kooi1,2 | ||
1CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, Netherlands, Maastricht, Netherlands, 2Department of Radiology and Nuclear Medicine, Maastricht University medical center (MUMC+), Maastricht, Netherlands, 3Department of Nuclear Medicine, Georg-August University Göttingen, Gottingen, Germany, 4Department of Clinical Neurophysiology, Maastricht University medical center (MUMC+), maastricht, Netherlands, 5Department of Neurology, Maastricht University Medical Center+ (MUMC+), maastricht, Netherlands, 6Department of Radiology, University of Southern California, Los Angeles, CA, United States |
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Multi-contrast Atherosclerosis Characterization (MATCH) was developed to quantify of carotid atherosclerotic plaque composition within 5 minutes’ scan time. Twenty symptomatic patients with ≥2 mm carotid plaque underwent 3.0 Tesla conventional multi-sequence and MATCH MRI. Excellent agreement was obtained for scoring a Lipid-rich necrotic core (LRNC) intraplaque hemorrhage (IPH) on the MATCH images while fair for calcifications. No significant differences between MATCH and multi-sequence MRI were found in volume of LRNC, IPH and calcifications. We demonstrated excellent agreement between MATCH and multi-sequence MRI for the identification and quantification of LRNC and IPH within significant shorter time. |
| 1748 | Computer 18
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THE ASSOCIATION BETWEEN PLAQUE SURFACE DISRUPTION AND FIBROUS CAP STATUS AT BASELINE AND VOLUME CHANGE OF INTRAPLAQUE HEMORRHAGE OVER TWO YEARS |
| Mohamed Kassem1,2, Tahnee Gorissen1, Mohamed AlBenwan1, Dianne van Dam-Nolen3, Madieke I Liem4, Rob J van der Geest5, Jeroen Hendrikse6, Werner H Werner Mess1,7, Paul J Nederkoorn4, Daniel Bos3,8, Patty Nelemans9, Robert Jan van Oostenbrugge1,10, and M Eline Kooi1,2 | ||
1CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, Netherlands, Maastricht, Netherlands, 2Department of Radiology and Nuclear Medicine, Maastricht University medical center (MUMC+), maastricht, Netherlands, 3Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands, 4Department of Neurology, Amsterdam UMC, location AMC, Amsterdam, Amsterdam, Netherlands, 5Division of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden, Netherlands, 6Radiology, University Medical Center Utrecht, Utrecht, Utrecht, Netherlands, 7Department of Clinical Neurophysiology, Maastricht University Medical Center+ (MUMC+), maastricht, Netherlands, 8Epidemiology, Erasmus MC, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands, 9Department of Epidemiology, Maastricht University, Maastricht, The Netherlands, maastricht, Netherlands, 10Department of Neurology, Maastricht University Medical Centre, maastricht, Netherlands |
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The factors that contribute to intraplaque hemorrhage (IPH) development within the carotid atherosclerotic plaque are incompletely understood. Previously, we demonstrated that IPH is associated with a thin/ruptured fibrous cap (TRFC) and disruption of the plaque surface on in a cross-sectional study. Baseline and 2 year’s follow-up carotid MR images of 110 patients from the Plaque at Risk (PARISK) study were analyzed. IPH volume change in TRFC at baseline was significant different (p=0.04) than thick fibrous cap group. Baseline IPH volumes are larger in patients with TRFC and disrupted plaque surface, but didn’t increase during the follow-up. |
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High-Field Magnetic Resonance Microscopy of Aortic Plaques in a Mouse Model |
| Sean Gullette1, Stephen Andrews2, Courtney Whalen2, Floyd J. Mattie2, Ximing Ge2, Catharine Ross2, Rita Castro2,3,4, and Thomas Neuberger1,5 | ||
1Huck Institutes of The Life Sciences, The Pennsylvania State University, State College, PA, United States, 2Department of Nutritional Sciences, The Pennsylvania State University, State College, PA, United States, 3Research Institute for Medicines (iMed.ULisboa), Universidade de Lisboa, Portugal, Lisboa, Portugal, 4Department of Pharmaceutical Sciences and Medicines, Universidade de Lisboa, Portugal, Lisboa, Portugal, 5Department of Biomedical Engineering, The Pennsylvania State University, State College, PA, United States |
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Currently, histological methods of plaque analysis in aortas from murine models of atherosclerosis do not allow for a holistic view of the vascular lesions. Using high-field MRI, plaque volume in Apoe-/- mice can be analyzed, and when compared to traditional histology, has a higher throughput and is non-destructive. Using a 3D gradient echo sequence at 14 tesla, high-resolution images of the aortas were achieved. The images were segmented and quantified providing a 3-dimensional view of plaque distribution and volume. Overall, using a high-field MRI system allowed for a detailed and complete view of vascular components. |
| 1750 | Computer 20
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Evaluation of flow suppression methods for multi-echo gradient echo carotid wall imaging |
| Junmin Liu1, Omer Oran2, and Maria Drangova1,3 | ||
1Robarts Research Institute, Schulich School of Medicine & Dentistry, Western University, London, ON, Canada, 2Siemens Healthcare Canada, Oakville, ON, Canada, 3Medical Biophysics, Schulich School of Medicine & Dentistry, Western University, London, ON, Canada |
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By adding long TEs to the Dixon acquisition, the chemical-shift-based T2*-weighted multi-echo GRE (CS-T2*-mGRE) techniques have gained attention, because they are able to generate co-registered multi-contrast images and quantitative maps. However, flow-suppressed CS-T2*-mGRE sequences have not been evaluated for carotid wall imaging. We compared the performance of simultaneous quantification of fat fraction (FF) and R2* from CS-T2*-mGRE sequences with and without saturation slabs, and with the incorporation of DANTE pulses for black blood imaging (DANTE-CS-T2*-mGRE); we used the FF for fat-suppression to better visualize the vessel wall from DANTE-CS-T2*-mGRE as well as the carotid artery lumen from CS-T2*-mGRE. |
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Plaque to Myocardium Ratio in T1-weighted Magnetic Resonance Imaging: Analysis of Variabilities and Method for Standardization |
| Meng Lu1, Hui Han1, Debiao Li2,3, and Yibin Xie1 | ||
1Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 2Cedars-Sinai Medical Center, Los Angeles, CA, United States, 3Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, United States |
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Plaque to Myocardium Ratio (PMR) based on T1-weighted MRI is an important quantitative biomarker to classify high-risk coronary plaque. However, it is calculated based on relative signal intensities, therefore, sensitive to variations in physiological and acquisition conditions. In this work, Bloch simulations were performed to explore the impact of heart rate, echo spacing, flip angle, and the number of readout segments on PMR. A computational model was further proposed to effectively reduce the acquisition-related PMR variations demonstrated in simulations and in vivo studies. The proposed method may potentially improve the precision of PMR and facilitate its comparison in longitudinal studies. |
| 1752 | Computer 22
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Diagnosis and Follow-up of cervical vascular dissection using 3D MR vessel wall imaging: A Single Centre Experience of 65 Cases |
| Jin Zhang1, Beibei Sun2, Shenghao Ding2, Jiaqi Tian2, Jieqing Wan2, Jilei Zhang3, Weibo Chen3, Xihai Zhao4, Yuan Chun5, Jianrong Xu2, and Huilin Zhao2 | ||
1Radiology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China, 2Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China, 3Philips Healthcare, Shanghai, China, 4Biomedical Engineering & Center for Biomedical Imaging Research, Tsinghua University, Beijing, China, 5University of Washington, Seattle, WA, United States |
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Cervical artery dissection (CAD) is one of the important causes of ischemic stroke in young and middle-aged people[1; 2]. DSA remains the gold standard for identifying and characterizing carotid vascular dissections[3]. However, this imaging approach is known to have certain limitations, including invasiveness, ionizing radiation exposure, uneconomic, and inconvenience in follow-up. Recently, rapid three-dimensional MR vessel wall imaging (3D MR-VWI) techniques have been developed to visualize arterial lumen and outer wall boundaries non-invasively and without contrast administration. Non-invasive 3D MR-VWI has the potential to be a powerful tool for follow-up of cervical artery dissection. |
| 1753 | Computer 23
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Intraocular pressure elevation induces vascular and functional brain changes: A relative cerebrovascular reactivity resting-state fMRI Study |
| Russell W. Chan1,2, Yixi Xue1, Ji Won Bang1, Muneeb A. Faiq1, Thajunnisa A. Sajitha1, Royce P. Lee1, Peiying Liu3, Christopher K. Leung4, Gadi Wollstein1, Joel S. Schuman1, and Kevin C. Chan1,5 | ||
1Department of Ophthalmology, New York University Grossman School of Medicine, New York, NY, United States, 2Neuroscience Institute, New York University Grossman School of Medicine, New York, NY, United States, 3Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, United States, 4Department of Ophthalmology, The University of Hong Kong, Hong Kong, Hong Kong, 5Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States |
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Recently, we used a novel resting-state fMRI method to map relative cerebrovascular reactivity (rCVR) without gas challenge, and demonstrated decreased rCVR in the visual cortex and increased rCVR in the basal forebrain in glaucoma patients relative to healthy subjects. However, the underlying mechanisms remain unclear. Here, we applied a hydrogel-induced glaucoma mouse model to chronically elevate intraocular pressure, mapped rCVR using resting-state fMRI, and measured optomotor responses. Our results showed similar patterns of rCVR changes along with visual impairments, indicating a role of chronic intraocular pressure elevation on the widespread vascular and functional brain changes in experimental glaucoma. |
| 1754 | Computer 24
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Deep artifact suppression for interventional cardiac MR-thermometry |
| Olivier Jaubert1, Valery Ozenne2,3,4,5, Maxime Yon2,3,4, Javier Montalt-Tordera1, Jennifer Steeden1, Vivek Muthurangu1, and Bruno Quesson2,3,4 | ||
1Institute of Cardiovascular Science, University College London, London, United Kingdom, 2Electrophysiology and Heart Modeling Institute, Foundation Bordeaux Université, IHU Lyric, Bordeaux, France, 3Centre de recherche Cardio-Thoracique de Bordeaux, Universite Bordeaux, Bordeaux, France, 4Centre de recherche Cardio-Thoracique de Bordeaux, INSERM, Bordeaux, France, 5Centre de Résonance Magnétique des Systèmes Biologiques, Bordeaux, France |
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A novel thermometry acquisition and a fast deep learning based image reconstruction were combined for cardiac interventional thermometry at high spatial (0.86×0.86mm2) and temporal (0.97s) resolutions, robust to motion and susceptibility artefact and independent of external ECG-gating. The method was tested in phantom and in-vivo in a sheep. The proposed deep learning method outperformed the state-of-the-art algorithm in terms of SNR and paves the way for clinical studies. |
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Late feature fusion and GAN-based augmentation for generalizable cardiac MRI segmentation |
| Yasmina Al Khalil1, Sina Amirrajab1, Cristian Lorenz2, Jürgen Weese2, Josien Pluim1, and Marcel Breeuwer1,3 | ||
1Biomedical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands, 2Philips Research Laboratories, Hamburg, Germany, 3Philips Healthcare, MR R&D - Clinical Science, Best, Netherlands |
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While recent deep-learning-based approaches in automatic cardiac magnetic resonance image segmentation have shown great promise to alleviate the need for manual segmentation, most are not applicable to realistic clinical scenarios. This is largely due to training on mainly homogeneous datasets, without variation in acquisition parameters and pathology. In this work, we develop a model applicable in multi-center, multi-disease, and multi-view settings, where we combine heart region detection, augmentation through synthesis and multi-fusion segmentation to address various aspects of segmenting heterogeneous cardiac data. Our experiments demonstrate competitive results in both short-axis and long-axis MR images, without physically acquiring more training data. |
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Self-calibrated through-time spiral GRAPPA for real-time, free-breathing evaluation of left ventricular function |
| Dominique Franson1, James Ahad1, Yuchi Liu2, Alexander Fyrdahl2, and Nicole Seiberlich2 | ||
1Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, 2University of Michigan, Ann Arbor, MI, United States |
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Through-time non-Cartesian GRAPPA enables real-time, free-breathing evaluation of the left ventricle, but it requires extra calibration data. This work proposes a self-calibrated spiral GRAPPA method that uses an interleaved acquisition to eliminate the calibration scan. A long spiral trajectory is used to improve robustness to motion. Data were acquired at 12 LV slices with spatiotemporal resolutions of 2.08x2.08 mm2 and 32.72 ms/phase in 71 seconds. In a preliminary study of 6 volunteers comparing the proposed method to a gold-standard, functional values are within the limits of agreement in Bland-Altman analyses and are not statistically significantly different in paired t-tests (p<0.05). |
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Whole-Heart Free-Breathing 3D Cardiac Cine with Fast Respiratory Motion Compensated Reconstruction |
| Jakob Meineke1, Christophe Schülke1, Kay Nehrke1, and Jochen Keupp1 | ||
1Philips Research, Hamburg, Germany |
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Whole-Heart, Free-Breathing 3D Cardiac Cine MRI with a cartesian, water-selective, balanced SSFP acquisition and spiral-like undersampling is combined with fast, non-rigid motion-compensated reconstruction. It demonstrates the feasibility of routine cardiac cine MRI with minimal planning effort and minimum patient discomfort by avoiding the need for breathholds. The combined acquisition and reconstruction time is below 5 minutes, including computation of deformation vector fields, and minimizes image production delay by starting reconstruction on partially acquired data. |
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Accelerated Multiband Cine Cardiac Magnetic Resonance Imaging using Deep Learning |
| Xiao Chen1, Yuan Zheng2, Eric Z Chen1, Zhongqi Zhang2, Yu Ding2, Jian Xu2, Terrence Chen1, and Shanhui Sun1 | ||
1United Imaging Intelligence, Cambridge, MA, United States, 2UIH America, Inc., Houston, TX, United States |
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Cine CMR is a routinely performed technique for heart anatomy and function analysis. In clinics, repeated breathholdings are performed to acquire multiple 2D slices to cover the whole heart, which further exacerbates the discomfort and challenges for young and severe-diseased patients. In this study, we halved the breathholding time for cine CMR using MB technique. Multiple sampling patterns were designed and studied for the best reconstruction quality. A NN leveraging the Siamese structure was designed to reconstruct the accelerated MB data and achieved great image quality. |
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Transfer Learning in Ultrahigh Field (7T) Cardiac MRI – Automatic Left Ventricular Segmentation in a Porcine Animal Model |
| Alena Kollmann1, David Lohr1, Markus Ankenbrand2, Maya Bille1, Maxim Terekhov1, Michael Hock1, Ibrahim Elabyad1, Theresa Reiter1,3, Florian Schnitter3, Wolfgang Bauer1,3, Ulrich Hofmann3, and Laura Schreiber1 | ||
1Chair of Cellular and Molecular Imaging, Comprehensive Heart Failure Center (CHFC), University Hospital Wuerzburg, Wuerzburg, Germany, 2Center for Computational and Theoretical Biology (CCTB), University of Wuerzburg, Wuerzburg, Germany, 3Department of Internal Medicine I, University Hospital Wuerzburg, Wuerzburg, Germany |
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Cardiac magnetic resonance (CMR) is considered the gold standard for evaluating cardiac function. Tools for automatic segmentation already exist in the clinical context. To bring the benefits of automatic segmentation to preclinical research, we use a deep learning based model. We demonstrate that for training small data sets with parameters deviating from the clinical situation (high resolution images of porcine hearts acquired at 7T in this case) are sufficient to achieve good correlation with manual segmentation. We obtain DICE-scores of 0.87 (LV) and 0.85 (myocardium) and find high agreement of the calculated functional parameters (Pearson‘s r between 0.95 and 0.99). |
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Dictionary Generation and Matching with Conditional Invertible Neural Networks for Cardiac MR Fingerprinting |
| Thomas James Fletcher1, Carlos Velasco1, Gastão Cruz1, Alina Schneider1, René Michael Botnar1, and Claudia Prieto1 | ||
1School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom |
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Dictionary generation and pattern matching are two important bottlenecks in cardiac MRF. Dictionaries must be recalculated for each new scan as they depend on the subject’s heart rate variability and both dictionaries and the length of pattern matching grow exponentially with the number of parameters being considered. We propose a conditional invertible neural network capable of both dictionary generation and parameter estimation for T1, T2 and T1ρ cardiac MRF. The network achieves excellent results on EPG-generated data (inner product >0.999, parameters’ relative error <1.5%) and good results for in-vivo data (mean relative errors for myocardium ranging from 2.2% to 15.1%). |
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Real-Time Spiral bSSFP Functional Cardiac MRI on a 0.55T Scanner Using a Deep Image Prior Reconstruction with GROG |
| Jesse Ian Hamilton1,2 and Nicole Seiberlich1,2 | ||
1Radiology, University of Michigan, Ann Arbor, MI, United States, 2Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States |
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This work introduces a physics-based deep learning reconstruction that can enable real-time (free-breathing and ungated) spiral 2D bSSFP functional cardiac MRI on a 0.55T scanner. The proposed method extends the concept of a deep image prior and does not require prior training on reference data. In addition, GROG is used to reduce the computational complexity of the forward model calculation by shifting spiral k-space data to their nearest Cartesian grid points, allowing use of FFT rather than NUFFT operations. Results are demonstrated in healthy subjects with functional measurements compared to gold standard acquisitions at 1.5T. |
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sim2real: Cardiac MR image simulation-to-real translation via unsupervised GANs |
| Sina Amirrajab1, Yasmina Al Khalil1, Cristian Lorenz2, Jürgen Weese2, Josien Pluim1, and Marcel Breeuwer1,3 | ||
1Biomedical Engineering Department, Eindhoven University of Technology, Eindhoven, Netherlands, 2Philips Research Laboratories, Hamburg, Germany, 3MR R&D - Clinical Science, Philips Healthcare, Best, Netherlands |
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There has been considerable interest in the MR physics-based simulation of a database of virtual cardiac MR images for the development of deep-learning analysis networks. However, the employment of such a database is limited or shows suboptimal performance due to the realism gap, missing textures, and the simplified appearance of simulated images. In this work we 1) provide image simulation on virtual XCAT subjects with varying anatomies, and 2) propose sim2real translation network to improve image realism. Our usability experiments suggest that sim2real data exhibits a good potential to augment training data and boost the performance of a segmentation algorithm.
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Deep subspace transfer learning for SMS image reconstruction from single-slice training: Application to CMR Multitasking |
| Zihao Chen1,2, Hsu-Lei Lee1, Xianglun Mao1, Tianle Cao1,2, Yibin Xie1, Debiao Li1,2, and Anthony Christodoulou1,2 | ||
1Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 2Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, United States |
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CMR multitasking is promising for quantitative cardiac imaging, and can achieve fast three-slice quantification when combined with simultaneous multi-slice (SMS) acquisition. However, slow non-Cartesian iterative reconstruction is a barrier to clinical adoption. Deep learning can accelerate reconstruction, but the SMS training data are currently limited. Here we propose a data-consistent deep subspace transfer learning strategy that trains on single-slice T1 CMR multitasking data but is applied to SMS-encoded T1 CMR multitasking image reconstruction. The proposed strategy is >40x faster than the conventional SMS reconstruction, resulting in an equally better image quality and comparably precise T1 as in single-slice reconstruction. |
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Prospective Evaluation of Machine Learning Prescription of Cardiac MRI Planes in Children with Congenital Heart Disease |
| Cheng William Hong1, Naeim Bahrami2, Vipul R Sheth1, and Shreyas Vasanawala1 | ||
1Department of Radiology, Stanford University, Palo Alto, CA, United States, 2GE Healthcare, Menlo Park, CA, United States |
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Cardiac MRI plays an important role in defining cardiac anatomy and function in children with heart disease. Prescription of diagnostic planes in cardiac MRI requires specialized training, limiting availability. Machine-learning based prescription has the potential to allow rapid, consistent acquisition of these planes independent of operator, but performance in congenital heart disease is unknown. This study evaluates the utility of such a system which demonstrates performance in children with mild to moderate heart disease similar to healthy adult volunteers. As expected, the system does not generate acceptable results in severe intracardiac anomalies. |
| 1765 | Computer 35
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CNN-based Off-resonance Correction in Cardiac Spiral MRI |
| Shishuai Wang1, Pedro F Ferreira2, Zohya Khalique2, Margarita Gorodezky2, Malte Roehl2, Jialin Pu3, Dudley J Pennell2, Sonia Nielles-Vallespin2, and Andrew D Scott2 | ||
1Department of Physics, Imperial College London, London, United Kingdom, 2Cardiovascular Magnetic Resonance Unit, Royal Brompton Hospital and National Heart and Lung Institute, Imperial College London, London, United Kingdom, 3College of Information And Communication Engineering, Harbin Engineering University, Harbin, China |
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Spiral trajectories are time efficient but are susceptible to off-resonance artefacts. Many approaches to off-resonance correction require a high-quality B0 field map. Here we train a convolutional neural network to remove the off-resonance artefacts using simulated cardiac spiral MRI and validate our methods by applying this network to diffusion tensor cardiovascular MR (DTCMR) data acquired with spiral trajectories. |
| 1766 | Computer 36
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Improving U-Net based segmentation in cardiac parametrical T1 mapping by incorporating bounding box information |
| Darian Viezzer1,2, Thomas Hadler1,2, Edyta Blaszczyk1,2, Maximilian Fenski1,3, Jan Gröschel1,2, Steffen Lange4, and Jeanette Schulz-Menger1,2,3 | ||
1Charité Universitätsmedizin Berlin, Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a joint cooperation between the Charité Universitätsmedizin Berlin and the Max-Delbrück-Center for Molecular Medicine, Berlin, Germany, 2DZHK (German Centre for Cardiovascular Research), partner site Berlin, Berlin, Germany, 3Department of Cardiology and Nephrology, Helios Hospital Berlin-Buch, Berlin, Germany, 4Faculty for Computer Sciences, Hochschule Darmstadt (University of Applied Sciences), Darmstadt, Germany |
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Parametric mapping images contain to a large extent irrelevant background information. In order to hide some of it, we incorporated bounding box information into a U-net based segmentation network. Our dataset consisted of 845 training, 102 validation and 146 test T1 maps of native and post-contrast myocardium from different clinical studies, including healthy volunteers and patients with inflammatory heart disease, muscular dystrophies or chronic myocardial infarction. While cropping the image input improved the segmentation itself, a second input of the bounding box mask reduced the mean absolute and mean squared T1 deviation, which is clinically preferred. |
| 1767 | Computer 37
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Rapid Free-breathing 3D SPirAl Respiratory and Cardiac Self-gated (SPARCS) Cine Acquisition Using an Undersampled Stack-of-Spirals |
| Xitong Wang1, Junyu Wang1, Ruixi Zhou1,2, and Michael Salerno1,3,4,5 | ||
1Department of Biomedical Engineering, University of Virginia, Charottesville, VA, United States, 2School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China, 3Department of Medicine, Stanford University, Palo Alto, CA, United States, 4Department of Medicine, University of Virginia, Charottesville, VA, United States, 5Department of Radiology, University of Virginia, Charottesville, VA, United States |
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Cardiac cine images are the gold standard techniques for analyzing cardiac function. Clinical breath-held ECG-gated Cartesian cine imaging requires 10-12 breath-holds to cover the left ventricle. Our group has developed a continuous-acquisition respiratory and cardiac self-gated cine sequence (SPARCS) for free-breathing cardiac function acquisition using 2D spiral acquisition can suffer from through-plane motion. Thus, we develop a rapid 3D self-gated cine technique using a variable density undersampled stack of spiral gradient echo sequence to provide 3D coverage of the ventricle enabling thinner slice acquisition and improved robustness to through-plane motion. |
| 1768 | Computer 38
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Changes in CMR Parameters and Prediction of Cardiac Complications in Thalassemia Major: Fibrosis Tells Us More than Iron. |
| Antonella Meloni1, Laura Pistoia1, Pietro Giuliano2, Nicola Giunta2, Nicolò Schicchi3, Emanuele Grassedonio4, Stefania Renne5, Vincenzo Positano1, Lorella Pitrolo6, Maria Grazia Roberti7, Paola Maria Grazia Sanna8, Filippo Cademartiri1, and Alessia Pepe1 | ||
1Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy, 2"ARNAS" Civico, Di Cristina Benfratelli, Palermo, Italy, 3Azienda Ospedaliero-Universitaria Ospedali Riuniti "Umberto I-Lancisi-Salesi", Ancona, Italy, 4Policlinico "Paolo Giaccone", Palermo, Italy, 5Presidio Ospedaliero “Giovanni Paolo II”, Lamezia Terme (CZ), Italy, 6Ospedale "V. Cervello", Palermo, Italy, 7Azienda Ospedaliero-Universitaria OO.RR. Foggia, Foggia, Italy, 8Azienda Ospedaliero-Universitaria di Sassari, Sassari, Italy |
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Seven-hundred and nine patients with thalassemia major who performed a baseline and a 1st follow-up CMR scan after 18 months were followed prospectively in order to evaluate the predictive value of changes in CMR parameters (myocardial iron, biventricular function, and replacement myocardial fibrosis) for cardiac complications. During a mean follow-up of 89.4±33.3 months, cardiac events (heart failure, arrhythmias, and pulmonary hypertension) were recorded in 7.1% of patients. In the univariate Cox regression analysis, cardiac iron clearance and replacement myocardial fibrosis were identified as univariate prognosticators but in the multivariate analysis only myocardial fibrosis remained an independent predictor factor. |
| 1833 | Computer 13
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A1-diameter asymmetry of the Circle of Willis induces blood-flow changes directed towards the anterior communicating artery |
| Rick J. van Tuijl1, Maud E.H. Ophelders1, Ynte M. Ruigrok2, Iris N. Vos1, Irene C. van der Schaaf1, Jaco J.M. Zwanenburg1, and Birgitta K Velthuis1 | ||
1Radiology, UMC Utrecht, Utrecht, Netherlands, 2Neurology, UMC Utrecht, Utrecht, Netherlands |
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Asymmetry in diameter of the pre-communicating part (A1-segment) of both anterior cerebral arteries is common and is related to anterior communicating artery aneurysm formation. We used TOF-MRA and 4D phase-contrast 3T-MRI in 122 subjects without intracranial aneurysms, and found that blood-flow asymmetry between A1-segments increased linearly with increasing A1 diameter asymmetry. Asymmetry of >30% in A1-segment diameters resulted in statistical significant blood-flow differences compared to persons with symmetric A1-segments. Whether this >30% A1-diameter asymmetry is a good cut-off to define a risk factor for anterior communicating artery aneurysm formation requires further research. |
| 1834 | Computer 14
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Non-Contrast-Enhanced Whole Neck MR Angiography using Velocity Selective Saturation and Slab Selective Inversion |
| Chanjoo Park1, Zungho Zun2, Jaeseok Park3, Seung Hong Choi4, and Taehoon Shin1,5,6 | ||
1Division of Mechanical and Biomedical Engineering, Ewha Womans University, Seoul, Korea, Republic of, 2Department of Radiology, Weill Cornell Medicine, New York, NY, United States, 3Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Korea, Republic of, 4Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea, Republic of, 5Graduate Program in Smart Factory, Ewha Womans University, Seoul, Korea, Republic of, 6Department of Medicine, Case Western Reserve University, Cleveland, OH, United States |
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Velocity-selective (VS) MRA is a promising non-contrast-enhanced angiography method allowing for high 3D spatial resolution and high angiographic contrast. This study proposes a VS-MRA protocol which includes field error compensation and slab-selective inversion for improved visualization of neck arteries. Initial in-vivo test shows that the proposed VS-MRA better depicts small vessels (such as facial and occipital arteries) and yields higher contrast enhancement ratio than clinical 3D TOF. |
| 1835 | Computer 15
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MRI Measures of Non-atherosclerotic Brain Arterial Remodeling in a Population-based Study |
| Xinwei Zhou1, Melissa Caughey2, Arther Du3, Shang Zhou1, Yi-Pei Liu1, Shatorupa Ghosh2, Bruce Wasserman 1,4, and Ye Qiao1 | ||
1Radiology, Johns Hopkins University, Baltimore, MD, United States, 2Joint Department of Biomedical Engineering, University of North Carolina & North Carolina State University, Raleigh, NC, United States, 3Gilman School, Baltimore, MD, United States, 4Radiology, University of Maryland School of Medicine, Balitimore, MD, United States |
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We have reported reliable MRI measures of non-atherosclerotic brain arterial remodeling (NABAR), as assessed by outward and tortuous remodeling of the large intracranial arteries in older individuals. This will allow us to elucidate the predictors of prevalent and progressing NABAR, and its correlations with brain hypoperfusion and cognition function in an older community-based population. |
| 1836 | Computer 16
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Multilevel Comparison of Neural Networks for Ventricular Function Quantification in CMR accelerated by Compressed Sensing |
| Thomas Hadler1, Clemens Ammann1, Jan Gröschel1,2, and Jeanette Schulz-Menger1,2,3 | ||
1Charité - Universitätsmedizin Berlin, Working Group on CMR, Experimental and Clinical Research Center, a joint cooperation between the Max-Delbrück-Center for Molecular Medicine and the Charité – Universitätsmedizin Berlin, Berlin, Germany, 2DZHK (German Centre for Cardiovascular Research), partner site Berlin, Berlin, Germany, 3Department of Cardiology and Nephrology, Helios Hospital Berlin-Buch, Berlin, Germany |
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Three popular convolutional neural networks were trained on short-axis cine MR images of the heart acquired by a prototype 2-shot 2D Compressed Sensing sequence. Network performance was evaluated on the level of clinical results and segmentation quality. Analysis revealed high correlation for quantitative results between all networks and a human expert. Automatic segmentation of the right ventricle is significantly more difficult than the left ventricle and shows more outliers. Segmentation decision errors concentrate in basal and apical slices, with the largest millilitre differences in the basal slices. Fast acquisition and automated image analysis promise high efficiency in CMR. |
| 1837 | Computer 17
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Semantic CMR Synthesis: Generating Coherent Short- and Long-Axis Images with Corresponding Multi-Class Anatomical Labels |
| Thomas Joyce1, Nico Schulthess1, Gloria Wolkerstorfer1, Stefano Buoso1, and Sebastian Kozerke1 | ||
1University and ETH Zurich, Zurich, Switzerland |
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We propose to use a combination of the StyleGAN2, ADA and DatasetGAN methods to produce synthetic short- and long-axis view cardiac magnetic resonance (CMR) images accompanied with corresponding 11-class tissue masks. The image generator networks are trained on datasets of approximately 1850 and 5000 unlabelled images, for short- and long-axis images respectively. The segmentation networks are trained on only 30 manually annotated synthetic images in total. We further demonstrate a proof-of-concept method for generating coherent long- and short-axis images of the same synthetic patient. |
| 1838 | Computer 18
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Intra- and intersubject synthesis of cardiac MR images using a VAE and GAN |
| Sina Amirrajab1, Cristian Lorenz2, Jürgen Weese2, Josien Pluim1, and Marcel Breeuwer1,3 | ||
1Biomedical Engineering Department, Eindhoven University of Technology, Eindhoven, Netherlands, 2Philips Research Laboratories, Hamburg, Germany, 3MR R&D - Clinical Science, Philips Healthcare, Best, Netherlands |
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We propose a method for synthesizing cardiac MR images with plausible heart shape and realistic appearance. It breaks down the synthesis into labels deformation and label-to-image translation. The former is achieved via latent space interpolation in a VAE model, while the latter is accomplished via a conditional GAN model. We synthesize 32 short-axis slices within each subject (intrasubject), as well as eight intermediary generated subjects between two dissimilar real subjects (intersubject) that have different anatomies. Such method could provide a solution to enrich a database and to pave the way for the development of generalizable DL based algorithms. |
| 1839 | Computer 19
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Accelerating multi-contrast multidimensional motion-corrected non-Cartesian iterative reconstructions with the Toeplitz approach |
| Andrew Phair1, Gastao Cruz1, René Botnar1, and Claudia Prieto1 | ||
1School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom |
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Iterative reconstructions for multi-contrast multidimensional non-Cartesian MRI can require considerable computation time, with a large fraction dedicated to non-uniform fast Fourier transforms (NUFFTs). The Toeplitz approach has been previously shown to allow NUFFT operations to be replaced by computationally efficient fast Fourier transforms (FFTs) without loss of accuracy. Herein, we combine this approach with a 3D multi-contrast low-rank cardiac-motion-corrected radial reconstruction with low-rank patch-based regularisation to achieve a ~13.3-fold computational speed-up. |
| 1840 | Computer 20
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Data-Efficient Uncertainty Quantification for Radial Cardiac Cine MR Image Reconstruction |
| Sherine Brahma1, Tobias Schäffter1,2,3, Christoph Kolbitsch1,3, and Andreas Kofler1 | ||
1Physikalisch-Technische Bundesanstalt, Braunschweig and Berlin, Germany, 2Department of Biomedical Engineering, Technical University of Berlin, Berlin, Germany, 3School of Imaging Sciences and Biomedical Engineering, King’s College London, London, United Kingdom |
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Due to the black-box nature of Deep Learning (DL) algorithms, uncertainty quantification (UQ) is a promising approach to assess their risk in medical applications. However, UQ is challenging in imaging techniques like non-Cartesian multi-coil CINE MRI because the data is high-dimensional, and the acquisition process is computationally demanding. In this work, i) we propose to utilize spatio-temporal (ST) networks, demonstrating efficient UQ in a high-dimensional setting, and ii) we show a reduction in uncertainty by adopting the forward model of radial multi-coil 2D cine MR in the reconstruction process. UQ is performed using MCMC dropout with additional aleatoric loss terms. |
| 1841 | Computer 21
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Diffeomorphic Image Registration for CINE Cardio MR images using deep learning |
| Daniel Amsel1, Seung Su Yoon1,2, Jens Wetzl2, and Andreas Maier1 | ||
1Friedrich-Alexander University Erlangen-Nuernberg, Erlangen, Germany, 2Siemens-Healthineers, Erlangen, Germany |
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Diagnostic applications often require the estimation of organ motion. Image registration enables motion estimation by computing deformation fields for an image pair. In this work, voxelmorph, a framework for deep learning-based diffeomorphic image registration is used to register CINE cardiac MR images in four-chamber view. Additionally, the framework is extended to a one-to-many registration to also utilize temporal information within a time-resolved MR scan. Registration performance as well as the performance of a valve tracking application using this approach are evaluated. The results are comparable to a state-of-the-art registration method, while noticeably reducing the computation time. |
| 1842 | Computer 22
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Automated cardiac bi-ventricular segmentation and motion analysis in a monocrotaline rat model of pulmonary hypertension |
| Marili Niglas1, Nicoleta Baxan2, Ali Ashek1, Lin Zhao1, Jinming Duan3, Declan O'Regan4, Timothy JW Dawes1,4, Wenjia Bai5, and Lan Zhao1 | ||
1National Heart and Lung Institute, Imperial College London, London, United Kingdom, 2Biological Imaging Centre, Imperial College London, London, United Kingdom, 3School of Computer Science, University of Birmingham, London, United Kingdom, 4MRC London Institute of Medical Sciences, Imperial College London, London, United Kingdom, 5Department of Brain Sciences, Imperial College London, London, United Kingdom |
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Multiple cardiac AI-based image processing pipelines exist for clinical application, yet the equivalent is lacking for rodents. We utilized a fully convolutional network combined with 3D-atlas registration to auto-segment cine images from pulmonary hypertension (PH) rats and produce 3D contraction maps. The auto-segmentations were equivalent to manual (Dice overall >0.7). The volumetric parameters did not differ between methods, except a minor underestimation for RVESV in PH rat (8.2%). 3D contraction maps indicated moderately increased basal wall motion at early (adaptive) stage followed by a 36% reduction at later (maladaptive) stage of PH. This regional motion remodelling correlates with PAH patients. |
| 1843 | Computer 23
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Real-time Cardiac MRI at 0.55T using through-time spiral GRAPPA |
| Alexander Fyrdahl1 and Nicole Seiberlich1 | ||
1Radiology, University of Michigan, Ann Arbor, MI, United States |
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Through-time non-Cartesian GRAPPA can be used to enable real-time imaging for evaluation of left-ventricular function. However, it requires arrays with many receiver coils for the parallel imaging reconstruction and gradient systems capable of playing out the specified non-Cartesian trajectories. In this work, we explore the use of non-Cartesian GRAPPA for real-time cardiac imaging on a 0.55T system with lower performance gradients, reduced receiver coils compared to conventional MRI systems. |
| 1844 | Computer 24
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Quantifying Cardiac Hypertrophy using Biophysical Models of Diffusion MRI |
| Mohsen Farzi1, Darryl McClymont2, Hannah Whittington2, Marie-Christine Zdora3, Leah Khazin1, Craig A. Lygate2, Christoph Rau3, Erica Dall’Armellina1, Irvin Teh1, and Jürgen E. Schneider1 | ||
1Biomedical Imaging Science Department, University of Leeds, Leeds, United Kingdom, 2Cardiovascular Medicine, University of Oxford, Oxford, United Kingdom, 3Diamond Light Source Ltd., Oxfordshire, United Kingdom |
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Biophysical modelling is a valuable technique for interrogating cardiac microstructure. We utilise a two-compartment model where intra- and extra-cellular space were represented by impermeable cylinders and an oblate diffusion tensor, respectively. Data was acquired ex vivo using a bespoke diffusion scheme with five diffusion times, six b-values and ten directions. Cardiomyocyte radius (r = 7.6 versus 8.9 μm) and volume fraction (ICV = 0.56 versus 0.67) were sensitive markers of cardiomyopathy validated in one healthy and one disease heart with transverse aortic constriction (TAC). |
| 1845 | Computer 25
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3D Multiscale Weighted Total Variation Registration for MR Image-Guided Catheter Interventions |
| Jaykumar Patel1,2, Calder Sheagren1,2, Saqeeb Hassan2, Fatemeh Rastegar Jouybari1,3, Christopher Macgowan1,3, and Graham Wright1,2 | ||
1Medical Biophysics, University of Toronto, Toronto, ON, Canada, 2Schulich Heart Centre, Sunnybrook Research Institute, Toronto, ON, Canada, 3The Hospital for Sick Children, Toronto, ON, Canada |
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During MR-guided cardiac catheter intervention, the catheter may be misaligned due to the respiratory motion of the heart. To improve the myocardial border alignment, GPU-based edge-preserving image registration is developed to accurately align highly undersampled 3D cone-trajectory image-based navigators for motion characterization. The edge-preserving registration technique improved myocardial border alignment across differing spatial resolutions and acceleration factors in-silico. |
| 1846 | Computer 26
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Combining machine learning and mathematical modeling in estimation of T1 relaxation time |
| Kateřina Škardová1, Radek Galabov1,2, Kateřina Fricková1, Tomáš Pevný3, Jaroslav Tintěra2, Tomáš Oberhuber1, and Radomír Chabiniok1,4 | ||
1Department of Mathematics, FNSPE CTU in Prague, Prague, Czech Republic, 2Department of Radiology, Institute for clinical and experimental medicine, Prague, Czech Republic, 3Artificial Intelligence Center, CTU in Prague, Prague, Czech Republic, 4Department of Pediatrics, UT Southwestern Medical Center, Dallas, TX, United States |
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A method for estimating tissue parameters using cardiovascular MRI and biophysical model by combining neural network (NN) and numerical optimization (NO) is illustrated on estimating $$$T_1$$$ relaxation time from MOLLI. Compared to the estimation obtained from MOLLI by the scanner, the proposed method provided $$$T_1$$$ closer to turbo spin-echo pseudo-ground in 7 out of 8 phantoms and higher or comparable myocardial and blood $$$T_1$$$ in 6 out of 7 patiens’ datasets. Including the NN-based initial guess accelerated the subsequent NO. NO initialized by NN, trained using simulated data, showed the potential to increase the efficiency and robustness of parameter estimation. |
| 1847 | Computer 27
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Biventricular function using a novel real-time free-breathing compressed sensing cine sequence with R-R normalization and motion correction |
| Ahmed S Negm1, Jianing Pang2, Kiaran Mcgee1, Holly Iverson1, Maria Halverson1, Rachel Davids2, Prabhakar Rajiah1, Alexander Bratt1, Eric Williamson1, Phillip Young1, Thomas Foley1, Tim Leiner1, Christopher Francois1, Xiaoming Bi2, and Jeremy Collins3 | ||
1Radiology, Mayo Clinic, Rochester, MN, United States, 2Siemens Healthineers, Chicago, IL, United States, 3Mayo Clinic, Rochester, MN, United States |
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CMR is the gold standard for assessing biventricular size and function. bSSFP Seg Cine is a standard cine method, but requires breath-holding which prolongs table time and limits utility in dyspneic patients. A novel real-time technique RTCSCineMoCo combines free-breathing acquisition with compressed sensing and motion correction. In 100 subjects RTCSCineMoCo generated similar results to Seg Cine for LVEF, LV end-diastolic mass, and RVESV with agreement including no difference at Bland-Altman analysis for all LV and RV measures. The shorter table time for RTCSCineMoCo and ability to robustly image dyspneic patients are important enhancements for clinical practice. |
| 1848 | Computer 28
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Deep learning-based Automatic Analysis for Free-breathing High-resolution Spiral Real-time Cardiac Cine Imaging at 3T |
| Marina Awad1, Junyu Wang1, Xue Feng1, Ruixi Zhou1, and Michael Salerno1,2,3,4 | ||
1Biomedical Engineering, University of Virginia, Charlottesville, VA, United States, 2Medicine, University of Virginia, Charlottesville, VA, United States, 3Radiology, University of Virginia, Charlottesville, VA, United States, 4Medicine, Stanford University, Stanford, CA, United States |
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Cardiac real-time cine imaging is useful for patients who cannot hold their breath or have irregular heart rhythms. Free breathing high-resolution real-time cardiac cine images are acquired efficiently using spiral acquisitions, and rapidly reconstructed using our DESIRE framework. However, quantifying the EF from free-breathing real-time imaging is limited by the lack of an EKG signal to define the cardiac cycle, and through-plane cardiac motion resulting from free-breathing. We developed a DL-based segmentation technique to determine the end-expiratory phase and determine end-systole and end-diastole on a slice by slice basis to accurately quantify EF from spiral real-time cardiac cine imaging. |
| 1849 | Computer 29
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Feasibility of machine learning for cardiovascular function analysis in patients with repaired tetralogy of Fallot |
| Elizabeth Walker Thompson1, Abhijit Bhattaru1, Phuong Vu1, Elizabeth Donnelly2, Elizabeth Goldmuntz2, Mark Fogel2, and Walter Witschey1 | ||
1University of Pennsylvania, Philadelphia, PA, United States, 2Children's Hospital of Philadelphia, Philadelphia, PA, United States |
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Tetralogy of Fallot (ToF) is a congenital heart disease that is typically repaired with surgery early in life, but right ventricular remodeling results in adverse events for many patients. This preliminary analysis of 8 patients investigated the feasibility of training a convolutional neural network to segment the right and left ventricles from 2-dimensional cardiovascular magnetic resonance images, resulting in Dice scores ranging from 0.73-0.91 for the left ventricular blood pool, left ventricular myocardium, and right ventricular blood pool. Machine learning shows promise to enable large-scale longitudinal studies of ToF. |
| 1850 | Computer 30
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Retrospective motion correction in multiple average, free-breathing cardiac cine imaging |
| Alexander Paul Neofytou1, Radhouene Neji1,2, James Wong3, Anastasia Fotaki1, Joana Ferreira1, Carl Evans1, Filippo Bosio1, Nabila Mughal1, Reza Razavi1, Kuberan Pushparajah1, 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, 3Department of Paediatric Cardiology, Evelina London Children’s Hospital, London, United Kingdom |
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A novel reconstruction technique based on iterative rejection of segmented k-space was developed for retrospective correction of respiratory motion in multiple average, free-breathing cine images. In comparison to standard signal averaging reconstruction, it provides higher sharpness, SNR, CNR, image quality, and rate of diagnostic quality images. |
| 1851 | Computer 31
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Impact of Gadolinium injection to the variable Flip Angle scheme of Tag CMR including SENC and SPAMM |
| Vivian S. Nguyen1, Jacob P. Goes1, Donovan Gorre2, Hui Wang3,4, Marcella K. Vaicik5, Amit R. Patel6, and Keigo Kawaji1,6 | ||
1Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, United States, 2Radiology, University of Chicago Medical Center, Chicago, IL, United States, 3Philips, Gainesville, FL, United States, 4Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 5Illinois Institute of Technology, Chicago, IL, United States, 6Medicine - Cardiology, University of Chicago Medical Center, Chicago, IL, United States |
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SENC and SPAMM tagging Cardiac Magnetic Resonance (CMR) are specifically optimized for acquisition before contrast injection and tuned to the end-systolic phase. While SPAMM tagging is a non-quantitative approach that indirectly derives functional motion from the displacement of the saturated tags in the myocardium, SENC directly computes myocardial tissue compression (strain) in percentage units. Furthermore, SENC quantitation pipeline bypasses the signal intensity map that exhibits the decay of the embedded strain measurements. In this study, we examine both SPAMM and SENC post-Gd measurements to specifically indicate the effect of the variable RF pulse train tuned to target tissue T1. |