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| 1604 | Computer 141
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Self-supervised Learning Based Liver Multi-parametric Mapping in a Single Breath-hold |
| Chaoxing Huang1,2, Yurui Qian1, Jian Hou1, Baiyan Jiang1,3, Queenie Chan4, Vincent Wai-Sun Wong5, Winnie Chiu-Wing Chu1,2, and Weitian Chen1,2 | ||
1Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Shatin, Hong Kong, 2CUHK Lab of AI in Radiology (CLAIR), Shatin, Hong Kong, 3Illuminatio Medical Technology Limited, Hong Kong SAR, China, 4Philips Healthcare, Hong Kong SAR, China, 5Department of Medicine and and Therapeutics, The Chinese University of Hong Kong, Shatin, Hong Kong |
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Keywords: Quantitative Imaging, Liver A self-supervised learning based multiparametric mapping method is proposed to map T1ρ and T2 simultaneously, by utilising the relaxation constraint in the learning process. The method was examined on a dataset of 52 patients with non-alcoholic fatter liver disease. Results showed that the proposed method can produce comparable parametric maps to the traditional fitting method, with reduced number of images, and reduced scan time. |
| 1605 | Computer 142
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Mask-free T2* and R2* mapping with dual multi-dimensional integration (dMDI) |
| Yongquan Ye1, Jian Xu1, Zhongqi Zhang1, Yan Zhang2, Qiang Zhao3, Jiajia Xu3, and Huishu Yuan3 | ||
1United Imaging, Houston, TX, United States, 2Beijing United Imaging Intelligent Imaging Technology Research Institute, Beijing, China, 3Radiology, Peking University Third Hospital, Beijing, China |
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Keywords: Quantitative Imaging, Quantitative Imaging A dual MDI strategy was developed and demonstrated to achieve T2* and R2* mapping that are both highly delineated between noise backgrounds and normal tissues as well as spikes free, thus eliminating the need for routine noise masking or manual segmentation. |
| 1606 | Computer 143
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Diagnostic value of ultrafast quantitative T2 imaging in the preoperative differentiation of meningioma WHO grades |
| Zongye Li1, Yijie Yang2, Yue Zhang1, Yanhong Lin2, Xiao Wang1, Yuchuan Zhuang3, Qinqin Yang2, Eryuan Gao1, Yanan Ren1, Yong Zhang1, Shuhui Cai2, Zhong Chen2, Congbo Cai2, Jingliang Cheng1, and Jianfeng Bao1 | ||
1Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2Department of Electronic Science, Xiamen University, Xiamen, China, 3Department of Imaging Sciences, University of Rochester, Rochester, NY, United States |
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Keywords: Quantitative Imaging, Neurography We assess the ability of a novel single-shot quantitative T2 magnetic resonance imaging (MRI) sequence and apparent diffusion coefficient (ADC) maps in predicting the WHO grade in meningiomas. We used histogram analysis of T2 maps and ADC maps to compare different grades of meningioma. ADC P10 proved to be the best predictor among all histogram parameters of ADC. While histogram analysis of T2 maps did not receive satisfactory results, the combination of T2 kurtosis and ADC P10 proved to be the best predictor. It is worthy of consideration to try another method of ROI placement and increase the sample size. |
| 1607 | Computer 144
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Insensitive to Off-Resonance 3D T1/T2 Mapping SPGR/bSSFP using Dictionary-Matching: Application to the Prostate at 3T |
| Ronal Coronado1,2, Carlos Castillo-Passi3,4, Cecilia Besa2,5, and Pablo Irarrazaval2,6 | ||
1Biomedical Imaging Center-Universidad Catolica de Chile, Santiago, Chile, 2Millenium Institute for Intelligent Healthcare Engineering, Santiago, Chile, 3Institute for Biological and Medical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile, Santiago, Chile, 4King's College London, London, United Kingdom, 5Departamento de Radiologia-Universidad Católica de Chile, Santiago, Chile, 6Department of Electrical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile |
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Keywords: Quantitative Imaging, Prostate Balanced Steady State Free Precession (bSSFP) has been successfully used to estimate T2 maps (DESPOT2), but bSSFP is prone to off-resonance artifacts. These artifacts affect the reconstruction of the T2 maps. We propose a dictionary-matching reconstruction using the signal model of bSSFP and spoiled gradient echo (SPGR). We tested this approach with simulation, 3D phantom and 3D in-vivo prostate acquisitions. In all of them, the off-resonance banding artifacts are greatly reduced, which is reflected in reduced NRMSE values. This method allows using a faster sequence with high SNR to quantify complicated body regions like the prostate. |
| 1608 | Computer 145
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T2 mapping with ZOOM-OLED on the kidney |
| Jian Wu1, Taishan Kang2, Simin Li1, Weikun Chen1, Zhigang Wu3, Congbo Cai1, and Shuhui Cai1 | ||
1Department of Electronic Science, Xiamen University, Xiamen, China, 2Department of Radiology, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China, 3Clinical & Technical Solutions, Philips Healthcare, Shenzhen, China |
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Keywords: Quantitative Imaging, Kidney The overlapping-echo detachment (OLED) imaging can capture a T2 map within about 150 ms. However, when the region of interest (ROI) is smaller than the object, it is inefficient to acquire the whole object because many unnecessary phase-encoding steps should be acquired. The zonal oblique multislice (ZOOM) is a method to reduce the field of view (FOV) by using two pulses to excite two slabs that have a specific angle between them. This study combined ZOOM with OLED to capture the T2 map with reduced FOV. The ZOOM-OLED can reduce geometric distortion and improve image resolution. |
| 1609 | Computer 146
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T1 mapping of the pancreas in patients with pancreatic cancer—does pancreatic extracellular volume fraction increase the diagnostic value? |
| Hai-Yan Chen1, Kai Li1, Yi-Shi Wang2, and Lei Shi1 | ||
1The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, China, 2Philips Healthcare, Beijing, China |
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Keywords: Quantitative Imaging, Quantitative Imaging There was no related study focused on pancreatic cancer, and we have no idea whether T1 mapping and ECV fraction could be used in such patients. Our study was to evaluate whether the T1 relaxation time of the pancreas can detect parenchymal changes in pancreatic cancer (PC) patients and whether extracellular volume (ECV) fraction improves the diagnostic value. We found that native T1 relaxation time of the pancreas in patients with PCs was significantly higher than patients with Non-PCs and volunteers, respectively. The pancreatic ECV was failed to show a significant difference among three groups. |
| 1610 | Computer 147
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Clinical application of MULTIPLEX as a rapid multi-parametric brain imaging method in early Parkinson’s disease |
| Tong Fu1, Rongrong Pan2, Youyong Tian2, Qing Gao2, Xinying Wu 1, Lindong Liu1, Hai Lin3, and Yongming Dai3 | ||
1Department of Radiology, Nanjing first hospital，Nanjing Medical University, Nanjing, China, 2Department of Neurology, Nanjing first hospital，Nanjing Medical University, Nanjing, China, 3Central Research Institute, United Imaging Healthcare, Shanghai, China |
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Keywords: Quantitative Imaging, Multi-Contrast Quantitative MRI can measure a variety of physiological tissue parameters, such as longitudinal T1 value, transverse T2 value and proton density, iron content and fat content. We tried to apply a multi-parametric MR imaging technique of MULTIPLEX that provides the maps of T1, T2*, proton density and quantitative susceptibility mapping into the diagnosis of early Parkinson’s disease (PD). We found that MULTIPLEX could provide comprehensive and quantitative assessment of Parkinson’s disease-related subcortical nucleus and dopaminergic midbrain regions captured in multiple MR imaging parameters, which might assist in the diagnosis and better understanding of early Parkinson’s disease under tight clinical time-constraints. |
| 1611 | Computer 148
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Establishment of SPGR-based MOLLI T1 mapping for the calculation of extracellular volume fraction (ECV) in Gd-EOB-DTPA-enhanced MRI |
| Ryotaro Jingu1, Keisuke Sato2, Atsushi Nozaki3, Tetsuya Wakayama3, Ryuji Nakamuta1, and Kengo Yoshimitsu2 | ||
1Radiology center, Fukuoka University Hospital, Fukuoka city, Japan, 2Department of Radiology, Faculty of Medicine, Fukuoka University, Fukuoka city, Japan, 3GE Healthcare, Hino city, Japan |
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Keywords: Quantitative Imaging, Quantitative Imaging, T1 mapping In phantom study, SPGR-MOLLI acquisition scheme was optimized for abdominal T1 mapping in EOB-MRI, which was applied to clinical patients to measure ECV of the spleen and paraspinal muscle obtained 4 min and 25 min after the contrast administration. ECV obtained from contrast-enhanced CT within 3 months from EOB-MRI was used as reference standard. ECVs calculated from EOB-MRI showed significant agreements with those obtained from CT with ICCs of 0.9 and 0.74 for 4 min and 25 min, respectively (p<0.0001), which suggested that our T1 mapping protocol is appropriate and applicable to ECV measurement in EOB-MRI similarly with contrast-enhanced CT. |
| 1612 | Computer 149
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Quantitative MR evaluation of pancreas parenchyma in patients with IPMN: association with tumor progression |
| Kiyoka Maeba1, Akihiko Kanki1, Yoshihiko Fukukura1, Hidemitsu Sotozono1, Akira Yamamoto1, and Tsutomu Tamada1 | ||
1Kawasaki Medical School Hospital, Kurashiki, Japan |
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Keywords: Quantitative Imaging, Pancreas This study focused on the feasibility of quantitative MR evaluation of the pancreas parenchyma in patients with IPMN as a non-invasive tool for predicting the risk of malignancy. Our study showed that increased signal intensity on T2WI and longer T1 relaxation time were associated with a higher risk of malignant IPMN. These results suggested that quantitative MR evaluation of the underlying pancreas parenchyma in patients with IPMN can be a surrogate marker for predicting malignant IPMN. |
| 1613 | Computer 150
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Simulating the efficiency of Variable Flip Angle (VFA) multi-parametric mapping of T1, PD, and T2* at 7T suggests longer TRs may be optimal |
| Jyoti Mangal1,2, Ayse Sila Dokumaci1,2, David Leitao1,2, Raphael Tomi-Tricot1,2,3, Pip Bridgen1,4, Joseph V Hajnal2,5, Claudia Prieto1, Shaihan Malik1,2, and David W Carmichael1,2 | ||
1Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 2London Collaborative Ultra high field System (LoCUS), London, United Kingdom, 3MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom, 4London Collaborative Ultra high field System (LoCUS), Lodnon, United Kingdom, 5Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom |
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Keywords: Quantitative Imaging, Neuro, MPM, sequence optimization Quantitative MRI at 7T may have important clinical applications owing to the potential for enhanced resolution and uniform tissue characterisation. Current protocols, often for pragmatic reasons, use short TRs(~20ms) and a handful of echo times but this might not be optimal for T2* estimation. We simulated the optimal TR and echo number for dual flip angle mapping of T1, PD, and T2* for realistic 7T tissue and sequence parameters. The optimal efficiency was found to be at 65ms with 20 echoes. The simulations suggested that longer TRs of 40-60ms would be optimal. Preliminary in-vivo data only partially supported these findings |
| 1614 | Computer 151
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Compressed sensing vs multiple overlapping echo detachment in acceleration efficiency of DL-based quantitative parametric mapping |
| Qingdang Qin1, Jiechao Wang1, Zhigang Wu2, Shuhui Cai1, and Congbo Cai1 | ||
1Department of Electronic Science, Xiamen University, Xiamen, China, 2MSC Clinical & Technical Solutions, Philips Healthcare, ShenZhen, China |
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Keywords: Quantitative Imaging, Quantitative Imaging Compressed sensing (CS) relies on random under-sampling measurements and has been the primary technique to accelerate quantitative parametric mapping (QPM). The multiple overlapping-echo detachment (MOLED) technique proposed recently is a novel technique to realize quantitative parametric mapping in a single shot within around 100 milliseconds. However, the two techniques still lack a systematic comparison of acceleration performance in QPM. For the first time, we analyze and compare the performance of these two techniques under the same conditions via numerical experiments. The results show that MOLED outerperforms one-dimensional under-sampling CS acceleration technique in T2 quantification. |
| 1615 | Computer 152
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Over-estimation of T2 with radial sampling: Identification, understanding and strategies to mitigate the bias. |
| Nadège Corbin1,2, Aurélien J. Trotier1, Sylvain Miraux1, and Emeline J. Ribot1 | ||
1Centre de Résonance Magnétique et Systèmes Biologiques UMR5536 CNRS/University of Bordeaux, Bordeaux, France, 2Wellcome Centre for Human Neuroimagin, UCL Queen Square, Institute of Neurology, University College of London, London, United Kingdom |
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Keywords: Quantitative Imaging, Relaxometry, radial sampling Quantitative MRI protocols can benefit from radial trajectory sampling to reduce the acquisition time. However we identified a bias in T2 relaxometry studies conducted with radial imaging. After in-depth analysis aiming at further our understanding of the underlying mechanisms, we propose some guidelines to mitigate this bias. The error depends on the range of T2 present in the object of interest and its geometry, the number of spokes and the trajectory of the sequence. Parallel imaging and compressed sensing help reducing the bias. |
| 1616 | Computer 153
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Myocardial T1 Mapping Using Single-Shot Inversion-Recovery Radial FLASH: Comparison of Subspace and Nonlinear Model-Based Reconstruction |
| Martin Schilling1, Moritz Blumenthal2, Xiaoqing Wang3,4, and Martin Uecker2 | ||
1University Medical Center Göttingen, Göttingen, Germany, 2Institute for Biomedical Imaging, TU Graz, Graz, Austria, 3Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 4Department of Radiology, Harvard Medical School, Boston, MA, United States |
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Keywords: Quantitative Imaging, Myocardium Linear subspace-based models are a powerful method for reconstruction in quantitative magnetic resonance imaging (qMRI). Compared to nonlinear model-based reconstructions, they are computationally more efficient and avoid partial volume effects. Both methods have not yet been compared with respect to myocardial T1 mapping using single-shot inversion-recovery radial FLASH. This work quantitatively compares the two methods for different regularization parameters. Reconstruction quality and T1 maps of both methods are comparable. |
| 1617 | Computer 154
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Joint MR T1 and T2* Parameter Mapping with Scan Specific Unsupervised Networks |
| Amir Heydari1, Tae Hyung Kim2,3,4, Abbas Ahmadi1, and Berkin Bilgic3,4 | ||
1Industrial Engineering and Management Systems, Amirkabir University of Technology, Tehran, Iran (Islamic Republic of), 2Department of Computer Engineering, Hongik University, Seoul, Korea, Republic of, 3Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 4Radiology, Harvard Medical School, Boston, MA, United States |
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Keywords: Quantitative Imaging, Quantitative Imaging, Image Reconstruction We introduce a new method for joint T1 and T2* MR parameter mapping in MAPLE framework which takes advantage of multi-echo multi-flip angle (MEMFA) gradient echo data. It combines joint reconstruction of MEMFA data with a joint relaxation signal model to improve parameter estimation. The proposed method estimates T1 and T2* parameters jointly with enough flexibility to incorporate different standard and state-of-the-art reconstruction methods, including zero-shot self-supervised learning (ZS-SSL) reconstruction. It improves the reconstruction performance of the methods with learnable parameters by offering a physics-based additional regularization into their optimization process and exploiting spatio-temporal correlations. |
| 1618 | Computer 155
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Feasibility of Using Deep Learning to Reduce Bias in Quantitative Values: A Study Based on fast Multidynamic Mutiecho Imaging |
| Yawen Liu1, Pengling Ren2, Hongxia Yin3, Yi Zhu4, Rong Wei5, Linkun Cai1, Haijun Niu1, and Zhenchang Wang1,2 | ||
1School of Biological Science and Medical Engineering, Beihang University, Beijing, China, 2Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China, 3Department of Medical Engineering, Beijing Friendship Hospital, Capital Medical University, Beijing, China, 4Philips Healthcare, Beijing, China, 5Peking university Academy for Advanced Interdisciplinary Studies, Beijing, China |
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Keywords: Quantitative Imaging, Machine Learning/Artificial Intelligence Rapid quantitative magnetic resonance imaging (qMRI) is the trend of MR development and has essential diagnostic value. However, reducing acquisition time will come at the expense of image quality and will also affect the accuracy of quantitative values. Here we propose a method for reconstructing fast low-resolution qMRI images using deep learning, aiming to improve image quality while reducing bias in quantitative values. The research results show that after deep learning, the image quality is comparable to that of conventional high-resolution scanning images, and quantitative values are also more stable. |
| 1619 | Computer 156
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B0 Dependence of Magnetization Transfer and Spin Relaxation Times |
| Sebastian Flassbeck1, Andrew Mao1, and Jakob Assländer1 | ||
1Dept. of Radiology, NYU Langone, New York, NY, United States |
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Keywords: Quantitative Imaging, CEST & MT, MR Fingerprinting, qMT, Low field, B0-field dependance We demonstrate an approach to quantify unconstrained MT parameter mapping and utilized this approach to study the magnetic field dependence of the relaxation and MT parameters. The largest field dependence was observed in the longitudinal relaxation rate of the semi-solid spin pool. |
| 1620 | Computer 157
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T1 Spectrum Analysis with Reduced Number of Datapoints Using Neural Networks |
| Tristhal Parasram1 and Dan Xiao1 | ||
1University of Windsor, Windsor, ON, Canada |
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Keywords: Quantitative Imaging, Relaxometry Quantitative analysis of T1 spectra could reveal microscopic properties and have been used to study biological tissues such as the heart, brain and related disease. It is challenging to determine the relaxation times from magnetic resonance signals particularly with multicomponent continuous spectra as it is an inherently ill-posed exponential analysis problem even with a large number of input data points. Artificial neural networks have been trained to determine T1 spectra with 8 to 4 logarithmically spaced data points. Improved performance over a larger range of T1 values and faster processing time compared to traditional methods have been achieved. |
| 1621 | Computer 158
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Multiparametric quantitative MRI mapping using ultrahigh-field strength |
| Zaheer Abbas1, Markus Zimmermann1, Dominik Ridder1, Ana-Maria Oros-Peusquens1, and N. Jon Shah1,2,3,4 | ||
1Institute of Neuroscience and Medicine 4, Jülich, Germany, 2Institute of Neuroscience and Medicine 11, INM-11, JARA, Forschungszentrum Jülich, Jülich, Germany, 3JARA - BRAIN - Translational Medicine, Aachen, Germany, 4Department of Neurology, RWTH Aachen University, Aachen, Aachen, Germany |
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Keywords: Quantitative Imaging, Brain Measurement of quantitative, tissue-specific MR properties such as water content or relaxation times using quantitative-MRI at clinical field strength (1.5T and 3T) is a well-explored topic. Established methods for water content mapping are based on the variable flip-angle (VFA) approach. However, transition to ultrahigh field strength remains challenging due to significantly increased RF field inhomogeneity. Here, we demonstrate a novel VFA method to acquire quantitative water content and relaxation times at 7T with full brain coverage and 1x1x1.5 mm resolution within 7 min. Accuracy and precision of the parametric maps is demonstrated by comparison to already reported results. |
| 1622 | Computer 159
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Measurement of NAD+ T1 relaxation time at 7T in the human brain using saturation recovery downfield MRS |
| Neil Wilson1, Sophia Swago2, Mark Elliott1, Ravi Prakash Reddy Nanga1, Ravinder Reddy1, and Walter Witschey1 | ||
1Radiology, University of Pennsylvania, Philadelphia, PA, United States, 2Bioengineering, University of Pennsylvania, Philadelphia, PA, United States |
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Keywords: Quantitative Imaging, Spectroscopy Here we present a method based on spectrally selective saturation recovery 1H spectroscopy to measure the apparent T1 values of NAD+ in the downfield at 7T for the first time. With spectrally selective saturation and excitation, NAD+ exhibits enhanced T1 recovery do to cross relaxation with water, and we report values in three subjects between 200 and 300 ms. Measuring apparent T1 is crucial as a correction factor for quantitative spectroscopy of NAD+. |
| 1623 | Computer 160
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In vivo T1 and T2* relaxation times of fast relaxing tissues of the healthy knee |
| Maik Rothe1, Selina Riedel1, Andreas Deistung1, Brill Richard1, Walter Alexander Wohlgemuth1, and Alexander Gussew1 | ||
1University Clinic and Outpatient Clinic for Radiology, University Hospital Halle (Saale), Halle (Saale), Germany |
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Keywords: Quantitative Imaging, Relaxometry In this study, we used a method for fast in vivo T1 and T2* mapping of fast relaxing tissues of the knee using a high resolution 3D spoiled gradient ultrashort echo time research application sequence with spiral read out to quantitatively describe different tissues. We manually segmented 10 different tissues in five healthy young volunteers and found good agreement with literature values for fast relaxing tissues. The bivariate histograms showed tissue specific clusters, which can be used for tissue differentiation. Additional information, such as phase images, could further improve bivariate histogram-based tissue differentiation and should be explored in future studies. |
| 1624 | Computer 161
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3D whole-heart free-breathing joint T1/T2 mapping with isotropic resolution in a hybrid PET-MR system for cardiac sarcoidosis |
| Alina Schneider1, Michael G Crabb1, Carlos Velasco1, Karl P Kunze1,2, Radhouene Neji1,2, René M Botnar1,3, and Claudia Prieto1,3 | ||
1School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 2MR Research Collaborations, Siemens Healthcare Limited, Camberley, United Kingdom, 3Institute for Biological and Medical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile |
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Keywords: Quantitative Imaging, Cardiovascular Simultaneously acquired 18F-FDG PET-MR imaging and quantitative 2D T1 and T2 mapping have been suggested for improved diagnostic accuracy of cardiac sarcoidosis, however misregistration between imaging modalities and sequential MR scans makes clinical interpretation challenging. Here we evaluate the feasibility of recently proposed 3D joint T1/T2 sequence at a 3T PET-MR system. This approach enables non-rigid motion-correction for both the 3D T1/T2 mapping and the PET data to the same respiratory position, resulting in aligned volumes for improved clinical interpretation. In this proof-of-concept study, we tested our approach in a phantom and two healthy subjects. |
| 1625 | Computer 162
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Quantification of dynamic changes in sodium corticomedullary gradient in human kidney using 23Na MRI |
| Alireza Akbari1,2,3, Sandrine Lemoine1,3, Lena V. Gast4, Max Müller4, Armin M. Nagel4, Tanya Tamasi1,3, Justin Dorie1,3, Timothy J. Scholl2,5, and Christopher McIntyre1,3,5 | ||
1The Lilibeth Caberto Kidney Clinical Research Unit (KCRU), London Health Sciences Centre, London, ON, Canada, 2Robarts Research Institute, Western University, London, ON, Canada, 3Lawson Health Research Institute, London, ON, Canada, 4Institute of Radiology, University Hospital Erlangen, Friedrich‐Alexander‐Universität Erlangen‐Nürnberg (FAU), Erlangen, Germany, 5Medical Biophysics, Western University, London, ON, Canada |
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Keywords: Quantitative Imaging, Kidney, sodium MRI, corticomedullary gradient In this work we demonstrate the use of sodium image histogram as an objective method to quantify dynamic changes in sodium corticomedullary gradient in the human kidney. |
| 1626 | Computer 163
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Robust reconstruction of electrical conductivity using anatomically-informed quadratic fit |
| Flavy Savigny1, Julien Lamy1, and Paulo Loureiro de Sousa1 | ||
1ICube, Université de Strasbourg-CNRS, Strasbourg, France |
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Keywords: Quantitative Imaging, Electromagnetic Tissue Properties Magnetic resonance electrical properties tomography (MREPT), aiming at reconstructing the electrical conductivity and permittivity at radio frequencies. The related reconstruction algorithm relies on the numerical approximation of the Laplacian of the transceiver phase, an operation sensitive to noise. In this work, we evaluate whether 3D parabolic phase fitting combined with anatomical information obtained from T1-weighted and T2-weighted images can be used to improve the reconstruction of conductivity maps of the human brain at 3T. |
| 1627 | Computer 164
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Quantitative Parameter Mapping in the Abdomen at 7T using Radial QTI Encoding |
| Rolf F Schulte1, Matteo Cencini2, Marta Lancione2, Carolin M Pirkl1, Marion I Menzel1,3, Paolo Cecchi4, Giacomo Aringhieri4, Constantin L Radu4, and Michela Tosetti2 | ||
1GE Healthcare, Munich, Germany, 2IRCCS Stella Maris, Pisa, Italy, 3THI, Ingolstadt, Germany, 4Imago7, Pisa, Italy |
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Keywords: MR Fingerprinting/Synthetic MR, MR Fingerprinting Quantitative MRI offers diagnostic insights into tissue properties and enables the characterisation of diseases, while reducing variability between operators, sites and vendors. A 2D and a 3D radial sequence using Quantitative Transient State Imaging (QTI) were implemented and optimised to map T1, T2 and Proton Density in the abdomen at 7T. Resulting in-vivo multi-parametric maps were of motivating quality, while validation in the Eurospin TO5 phantom showed good agreement with T1 and T2 Gold standard measurements. |
| 1628 | Computer 165
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Integrating Adaptive Generative Network and Subspace Models for Accelerated MR Parameter Mapping |
| Ruiyang Zhao1,2, Xi Peng3, and Fan Lam1,2,4 | ||
1Beckman Institute for Advanced Science and Technology, Urbana, IL, United States, 2Department of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL, United States, 3Department of Radiology, Mayo Clinic, Rochester, MN, United States, 4Department of Bioengineering, University of illinois Urbana-Champaign, Urbana, IL, United States |
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Keywords: Quantitative Imaging, Machine Learning/Artificial Intelligence We proposed a new method that integrates an adapted generative network image prior and subspace modeling for accelerated MR parameter mapping. Specifically, a formulation is introduced to synergize a subspace constraint, a subject-specific generative model-based image representation and joint sparsity regularization. A pretraining using public database plus subjective specific network adaptation strategy is used to construct an accurate representation of the unknown contrast-weighted images. An efficient alternating minimization algorithm is used to solve the resulting optimization problem. The improved reconstruction performance achieved by the proposed method over subspace and sparsity constraints was demonstrated in a T2 mapping experiment. |
| 1629 | Computer 166
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Exploration of an optimal ROI measurement for predicting tumor and node stage in rectal adenocarcinoma using 3D CEST-MRI |
| Yigang Pei1, Xiao Wang1, Wenguang Liu1, Wenzheng Li1, and Weiyin Vivian Liu2 | ||
1Xiangya Hospital Central South University, Changsha, China, 2GE heathcare, Beijing, China |
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Keywords: Quantitative Imaging, CEST & MT Three dimensional chemical exchange saturation transfer (3D-CEST) can provide some quantitative values, such as amide proton transfer weighted-signal intensity (APTw-SI) and magnetization transfer (MT). Different ROI approaches (ss-ROI: single slice ROI; ts-ROI: three-slice ROI; wt-ROI: whole-tumor ROI ) affected the clinic feasibility of APTw-SI and MT in predicting tumor and node (TN) staging. We found MT assisted TN staging of RA patients with a good AUC for all three ROI approaches. Furthermore, MT with ss-ROI is easier to perform in clinical work than ts-ROI and wt-ROI and can be used for clinical diagnosis in the future. |
| 1630 | Computer 167
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A 3D large-coverage carotid quantitative vessel wall imaging solution: from imaging protocol to post-processing pipeline |
| Ning Xu1, Huiyu Qiao1, Jiachen Liu1, Shuwan Yu1, Zihan Ning1, Rui Shen1, and Xihai Zhao1 | ||
1Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine Tsinghua Univeristy, Beijing, China |
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Keywords: Quantitative Imaging, Data Acquisition, Data analysis Carotid quantitative high-resolution MR vessel wall imaging, such as T1- and T2-mapping, showed a great potential to stratify vulnerable plaques. This study proposed a 3D large-coverage carotid quantitative imaging solution including bright- and black-blood quantitative VWI protocol and an efficient post-processing pipeline. The proposed protocol was in excellent agreement with standard mapping in measuring T1 (R2=0.99) and T2 (R2=0.94) validated by phantom study. The volunteer experiment proved that there was no significant difference in measuring T1 (1103.89±50.86 ms vs. 1125.34±50.39 ms, P=0.26) and T2 (31.23±1.50 ms vs. 31.69±1.54 ms, P=0.21) of muscle between the proposed protocol and clinical reference mapping. |
| 1631 | Computer 168
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Highly efficient simultaneous joint T1-T2 mapping for isotropic resolution 3D knee imaging |
| Dabne Barrera1, Nicolás Garrido1,2, Andrew Phair3, Ronal Coronado1,4, Haikun Qi5, René M Botnar1,2,3, and Claudia Prieto1,3,4 | ||
1Millennium Institute for Intelligent Healthcare Engineering (iHEALTH), Santiago, Chile, 2Institute for Biological and Medical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile, 3King's College London, London, United Kingdom, 4Electrical Engineering Department, Pontificia Universidad Católica de Chile, Santiago, Chile, Santiago, Chile, 5ShanghaiTech University, Shanghai, China |
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Keywords: Quantitative Imaging, Osteoarthritis Recently, a free-running T1-T2 3D radial imaging sequence was proposed to enable simultaneous acquisition of T1 and T2 maps of the hearth with isotropic spatial resolution. Here, we sought to investigate the feasibility of this sequence with 1 mm3 isotropic spatial resolution for the characterization of articular cartilage in scan time of ~4 min. The proposed approach was evaluated on a standardized phantom and in-vivo in healthy subjects, showing good agreement with reference values. |
| 1632 | Computer 169
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CMAPSS-NET: Deep-Learning Based Reconstruction of 3D Magnetization-Prepared GRE with Complementary Phase-Cycling Acquisition |
| Ramin Jafari1, Can Wu2, Yansong Zhao3, Victor Murray2, and Qi Peng4 | ||
1Philips Healthcare, New York, NY, United States, 2Memorial Sloan Kettering Cancer Center, New York, NY, United States, 3Philips Healthcare, Boston, MA, United States, 4Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, NY, United States |
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Keywords: Quantitative Imaging, Image Reconstruction Deep learning enables efficient reconstruction of 3D Magnetization-Prepared GRE with Complementary Phase-Cycling to remove both undersampling artifacts as well as T1 contamination associated with this type of acquisition only requiring half the acquisition time compared to current standard technique. |
| 1633 | Computer 170
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T2 Mapping with GRAPPATINI for Routine Knee Evaluation |
| Amy Z. Lu1,2, Sara E. Sacher1, Xiaoying Cai3, Tom Hilbert4,5,6, Matthew F. Koff1, Hollis G. Potter1, and Ek T. Tan1 | ||
1Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY, United States, 2Weill Cornell Medicine, New York, NY, United States, 3Siemens Medical Solutions USA, Inc., New York, NY, United States, 4Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland, 5Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 6LTS5, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland |
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Keywords: Quantitative Imaging, Parallel Imaging, T2 mapping, GRAPPATINI T2 mapping with GRAPPATINI, a combination of MARTINI (model-based reduction) and GRAPPA (parallel imaging reconstruction), was applied to routine knee evaluations and compared quantitatively to standard T2 mapping accelerated only with GRAPPA. Regions of articular cartilage, infrapatellar fat pad, and muscle were analyzed. T2 mapping with GRAPPATINI was faster by ~2.2x and provided similar T2 values in most regions except for the infrapatellar fat pad and femoral trochlea cartilage. This accelerated T2 mapping technique may facilitate the routine incorporation of quantitative T2 mapping retrospective knee studies of osteoarthritis in the cartilage and of muscle denervation. |
| 1634 | Computer 171
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A Simulation Study of the Effect of Sampling Strategy on Computation of T2 Maps |
| Gigi Galiana1, Nahla Elsaid1, and Hemant Tagare1 | ||
1Radiology and Biomedical Engineering, Yale University, New Haven, CT, United States |
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Keywords: Quantitative Imaging, Image Reconstruction This work presents a simulation study on the differences between data from accelerated T2 mapping experiments vs T2w imaging studies. Subspace constrained and model-based reconstruction were tested on trajectories that exhibited narrow k-space sampling at each window, energy differences across echoes related to the k-space collected by each echo, and small total data size. Energy differences had the largest impact on T2 map reconstruction, and both methods were unsuitable for reconstructing T2w data that combined all features. This highlights the need for tailored reconstruction approaches, such as e-CAMP, to reconstruct T2 maps from T2w data. |
| 1635 | Computer 172
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Preliminary investigation of a rapid proxy measure of T2* in cartilage using a double echo uTE |
| Aditya K Subramanian1,2, Lauren Watkins2, Garry G Gold2, Feliks Kogan2, and Marco Barbieri2 | ||
1UC-Berkeley, BERKELEY, CA, United States, 2Department of Radiology, Stanford University, Stanford, CA, United States |
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Keywords: Quantitative Imaging, Quantitative Imaging Ultrashort echo time (uTE) T2* mapping of articular cartilage is sensitive to changes in components of cartilage with short T2* such as water bound to proteoglycans and collagen. T2* mapping requires acquiring multiple echoes and fitting the signal intensities to a monoexponential decay model to estimate a single T2*. We propose a ratio based proxy for T2*, the Free Water Index (FWI). Our exploratory study showed high correlations between the index and T2* in vivo, supporting the potential for our index to reduce scan time while retaining information from T2*. |
| 1636 | Computer 173
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Comparison of synthesized and acquired high b-value diffusion-weighted MRI for detection of prostate cancer |
| Karoline Kallis1, Christopher C. Conlin2, Troy S. Hussain1, Allison Y. Zhong1, Deoandre Do1, Asona J. Lui1, Roshan Karunamuni2, Joshua Kuperman2, Michael E. Hahn2, Rebecca Rakow-Penner2, Aritrick Chatterjee3,4, Aytekin Oto3,4, Gregory S. Karczmar3,4, Anders M. Dale5,6,7, and Tyler M. Seibert2,8,9 | ||
1Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA, United States, 2Department of Radiology, University of California San Diego, La Jolla, CA, United States, 3Department of Radiology, University of Chicago, Chicago, IL, United States, 4Sanford J. Grossmann Center of Excellence in Prostate Imaging and Image Guided Therapy, University of Chicago, Chicago, IL, United States, 5Department of Radiology, University of California San Diego, San Diego, CA, United States, 6Department of Neurosciences, University of California, La Jolla, CA, United States, 7Halicioglu Data Science Institute, University of California San Diego, La Jolla, CA, United States, 8Department of Radiation Medicine and Applied Sciences, University of California San Diego, San Diego, CA, United States, 9Department of Bioengineering, University of California San Diego, La Jolla, CA, United States |
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Keywords: Quantitative Imaging, Diffusion/other diffusion imaging techniques High b-value diffusion-weighted imaging (DWI) plays an important role for accurate detection of clinically significant prostate cancer (csPCa). Synthesizing high b-value images decreases scan time. We compared (normalized) acquired and synthesized high b-value (2000s/mm2) DWI for detection of csPCa in 151 patients who underwent MRI and biopsy. We also compared these to an advanced DWI biomarker called the Restriction Spectrum Imaging restriction score (RSIrs). Synthesized images yielded similar results to acquired images within the prostate but failed to accurately represent the surrounding pelvic tissue. RSIrs was superior to synthesized and acquired high b-value DWI for detection of csPCa. |
| 1637 | Computer 174
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Novel water-fat separation model for multi-echo bipolar readout |
| Cristobal Arrieta1,2, Carlos A Sing-Long1,3,4, Esteban Denecken1,2,5, Juan Pablo Meneses1,2,5, Hernan Mella2,6, Cristian Tejos1,2,5, Marcelo E Andia1,2,7, and Sergio Uribe1,2,7 | ||
1Biomedical Imaging Center, Pontificia Universidad Catolica de Chile, Santiago, Chile, 2i-Health Millenium Institute in Intelligent Healthcare Engineering, Santiago, Chile, 3Institute for Mathematical and Computational Engineering, Pontificia Universidad Catolica de Chile, Santiago, Chile, 4Institute for Biological and Medical Engineering, Pontificia Universidad Catolica de Chile, Santiago, Chile, 5Department of Electrical Engineering, School of Engineering, Pontificia Universidad Catolica de Chile, Santiago, Chile, 6School of Electrical Engineering, Pontificia Universidad Catolica de Valparaiso, Valparaiso, Chile, 7Radiology Department, School of Medicine, Pontificia Universidad Catolica de Chile, Santiago, Chile |
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Keywords: Quantitative Imaging, Fat This work proposes a new model for solving the water-fat separation problem with bipolar acquisition, which allows us for reducing the acquisition time and computing accurate PDFF without any special concerns about phase corrections. We solve jointly two water-fat separation problems for even and odd echoes, under the assumption that the concentrations are different, but considering the same field map and $$$R_2^*$$$. Bland Altman plots and linear regression show excellent performance for PDFF estimation in 8 healthy volunteers. |
| 1638 | Computer 175
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Quantitative Susceptibility Mapping of Human Kidney Using Multi-echo Gradient Echo with Dual TR: A Preliminary Study |
| Yingjie Mei1, Yihao Guo2, Qiang Liu1, Kan Deng3, Peng Wu4, Chenggong Yan5, Yikai Xu5, and Yanqiu Feng1 | ||
1School of Biomedical Engineering, Southern Medical University, Guangzhou, China, 2Deparment of Radiology, Hainan General Hospital, Haikou, China, 3Philips Healthcare, Guangzhou, China, 4Philips Healthcare, Shanghai, China, 5Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China |
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Keywords: Quantitative Imaging, Quantitative Susceptibility mapping, kidney QSM of human kidney remains challenging due to chemical shift and respiratory motion. We utilized a dual-TR based multi-echo gradient echo (GRE) sequence and proposed an in-phase method to solve nonconvex optimization problem in water-fat separation for QSM of human kidney. The kidney QSM data were successfully acquired and calculated in all four volunteers. The kidney QSM implemented in our study could provide valuable imaging markers for the assessment of pathophysiological changes of kidney diseases. |
| 1639 | Computer 176
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Dual-Echo UTE Off-resonance Saturation Contrast (dual-UTE-OSC) for Morphological and Quantitative Imaging of Craniofacial Cortical Bone |
| Arya A Suprana1,2, Jiyo S Athertya2, Justin Chen2, Zijin Yang2, James Lo1,2, Xiaojun Chen2, Saeed Jerban2, and Jiang Du1,2,3 | ||
1Department of Bioengineering, University of California, San Diego, La Jolla, CA, United States, 2Department of Radiology, University of California, San Diego, La Jolla, CA, United States, 3Radiology Service, Veterans Affairs San Diego Health Care System, San Diego, CA, United States |
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Keywords: Quantitative Imaging, Bone Recent developments in ultrashort time echo (UTE) MRI have enabled the detection of short T2 species such as cortical bone. MR-based cortical bone imaging has the potential to serve as a non-invasive alternative to computed tomography (CT). In this study, 3D UTE sequences with a combination of varying echo time and RF pulse duration, with and without off-resonance saturation pulse, are utilized to image the human skull. Image subtraction and normalization are used to highlight cortical bone in the craniofacial region. Magnetization transfer ratio (MTR) maps can also be generated for quantitative bone imaging. |
| 1640 | Computer 177
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Optimized Single-Shot EPI Sequence for Abdominal T2 Quantification: Comparison with CPMG Based Technique |
| Fei Han1, Ute Goerke2, Maria Altbach3, and Vibhas Deshpande4 | ||
1Siemens Medical Solutions, USA, Los Angeles, CA, United States, 2Siemens Medical Solutions, USA, Tucson, AZ, United States, 3University of Arizona, Tucson, AZ, United States, 4Siemens Medical Solutions, USA, Austin, TX, United States |
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Keywords: Quantitative Imaging, Liver Conventional CPMG-based T2 quantitative approaches are often based on prolonged scan and complicated signal modeling, with multiple confounders that affects the T2 accuracy. In this work, we explore an alternative T2 quantitative strategy utilizing the Single-Shot EPI (SS-EPI) sequence. Phantom and in-vivo abdominal imaging results shows that despite the inferior spatial resolution, the SS-EPI could provide descent image quality and reliable T2 maps from a faster scan. Common confounders in the CPMG based approach seems not affecting the T2 values from the SS-EPI. The SS-EPI is an attractive alternative approach for T2 quantification for the abdomen and beyond. |
| 1641 | Computer 178
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High Resolution Luminal Water Imaging for Prostate Cancer Diagnosis and Grading |
| Maryam Mohtajeb1, Erin MacMillan1,2, Guillaume Gilbert2, and Piotr Kozlowski1,3,4 | ||
1MRI Research Center, University of British Columbia, Vancouver, BC, Canada, 2MR Clinical Science, Philips Healthcare, Mississauga, ON, Canada, 3Department of Radiology, University of British Columbia, Vancouver, BC, Canada, 4Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada |
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Keywords: Quantitative Imaging, Prostate, Quantitative Imaging, Pulse Sequence Design Current prostate cancer diagnosis and grading techniques have several limitations, which dictates further endeavors toward developing a more accurate approach. Luminal water imaging (LWI) has demonstrated superior diagnostic accuracy than the current multiparametric MRI standardized protocol. In this new application, we further optimized LWI acquisition by decreasing the in-plane resolution without sacrificing SNR by applying two different reduced field-of-view techniques. Our new sequences provide improved in-plane resolution to delineate anatomical details and provide high-quality data for LWI analysis. This new LWI acquisition could replace the lengthy multiparametric MRI that suffers from technical challenges, inferior diagnosis accuracy, and a required contrast agent injection compared to LWI. |
| 1642 | Computer 179
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mcLARO: Multi-Contrast Learned Acquisition and Reconstruction Optimization for simultaneous multi-contrast and multi-parametric mapping |
| Jinwei Zhang1, Thanh Nguyen2, Pascal Spincemaille2, Eddy Solomon2, Chao Li1, Jiahao Li1, and Yi Wang2 | ||
1Cornell University, New York, NY, United States, 2Weill Cornell Medicine, New York, NY, United States |
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Keywords: Quantitative Imaging, Multi-Contrast We propose a unified framework for highly accelerated multi-contrast and multi-parametric imaging in a single scan. Our framework, named mcLARO, includes designing a novel multi-contrast pulse sequence, optimizing k-space sampling pattern and image reconstruction with a learning-based approach, and fitting T1, T2 T2* and QSM maps using the reconstructed multi-contrast images. mcLARO is compared with reference T1w, T2w, GRE, T1, T2, T2* and QSM mapping sequences and achieves comparable results. |
| 1643 | Computer 180
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High resolution rotating frame relaxation mapping with T-NORDIC |
| Sara Ponticorvo1, Antonietta Canna1, Steen Moeller1, Mehmet Akcakaya1, Gregory J Metzger1, Shalom Michaeli1, and Silvia Mangia1 | ||
1CMRR, Radiology, University of Minnesota, Minneapolis, MN, United States |
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Keywords: Quantitative Imaging, Brain Current whole-brain implementations of rotating frame relaxation (RFR) mapping are generally limited to moderate spatial resolutions due to acquisition time limitations. We propose using transform domain NORDIC, T-NORDIC, to increase the quality of RFR maps at both moderate and high spatial resolution. The results show clear improvements in terms of fitting reliability for estimation of adiabatic T1ρ and T2ρ, and especially Relaxation Along a Fictitious Field in rotating frame of rank n=4 (RAFF4) after applying NORDIC denoising. The improvements in map quality can be leveraged to reduce acquisition times in clinical applications. |
| 1778 | Computer 141
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Improved reliability of R2* and susceptibility quantification using 3D EPI acquisition |
| Yujia Huang1, Peter van Gelderen2, Lin Chen3,4, Jacco A. de Zwart2, Zeynep Demir2, Gael Saib5, Xu Li3,4, Jeff H. Duyn2, and Jiaen Liu1 | ||
1Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, TX, United States, 2Laboratory of Functional and Molecular Imaging , NINDS, NIH, Bethesda, MD, United States, 3F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, 4Department of Radiology and Radiological Sciences, Johns Hopkins University, Baltimore, MD, United States, 5NMR Research Center, NINDS, NIH, Bethesda, MD, United States |
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Keywords: Quantitative Imaging, Quantitative Susceptibility mapping The quantification of decay rate R2* and susceptibility is useful in assessment of various neurological disorders manifesting iron accumulation and myelin loss. Conventional 3D GRE acquisition is sensitive to motion and B0 fluctuation due to its long scan time. In this study, we demonstrated improved reliability of multi-shot multi-echo 3D EPI when compared to GRE, showing reduced scan time and similar accuracy. |
| 1779 | Computer 142
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Zooming In: MR and PET Synaptic Density Imaging Techniques in Neuropathology |
| Divya Ramakrishnan1, Takuya Toyonaga2, Behnaz Khazai3, Matthew Sala1, Jason Cai2, and Mariam Aboian1 | ||
1Department of Radiology, Yale School of Medicine, New Haven, CT, United States, 2Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, United States, 3Department of Radiology, Norwalk Hospital, Norwalk, CT, United States |
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Keywords: Quantitative Imaging, PET/MR, Synaptic Density, SV2A There are many different modalities to image synaptic density in the brain. The advent of a novel SV2A targeted PET tracer provides the ability to measure in-vivo synaptic density changes in neuropsychiatric disorders. In this education exhibit, we review the current MR and PET-based approaches to synaptic density imaging and present findings from recent animal and human studies of synaptic density changes in neurodegenerative disorders and epilepsy. Our aim is to provide clinicians with the most up-to-date knowledge about imaging techniques of synaptic density that can be integrated into clinical practice. |
| 1780 | Computer 143
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Quantitative Magnetization Transfer Imaging in Glioblastoma Patients using Balanced Steady-state Free Precession on a 1.5 T MR-Linac |
| Brandon Thien Trong Tran1, Liam S. P. Lawrence1, Rachel W. Chan2, Chia-Lin Tseng3, Jay Detsky3, Hany Soliman3, Arjun Sahgal3, and Angus Z. Lau1,2 | ||
1Medical Biophysics, University of Toronto, Toronto, ON, Canada, 2Physical Sciences Platform, Sunnybrook Research Institute, Toronto, ON, Canada, 3Radiation Oncology, Sunnybrook Health Sciences Centre, Toronto, ON, Canada |
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Keywords: Quantitative Imaging, Magnetization transfer Quantitative magnetization transfer (qMT) imaging could be used to assess tumor response on an MR-Linac. However, qMT protocols which use an off-resonance saturation pulse are slow and does not have the 3D coverage necessary to assess tumor response. We implemented a fast 3D balanced steady-state free precession qMT protocol on the MR-Linac. Six glioblastoma patients were scanned on the MR-Linac at weekly intervals during treatment. qMT parameter maps derived using non-linear least square fitting show similar contrast to other qMT protocols. Within-subject coefficient of variation was higher than values found in literature for off-resonance qMT protocols. |
| 1781 | Computer 144
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An MRI protocol for RT planning: preliminary results for distortion, contrast and bulk density assignment |
| Laura Sayaque1, Benjamin Leporq1, Chloé Miran2, Olivier Hamelin3, Frank Pilleul1,3, Vincent Gregoire2, and Olivier Beuf1 | ||
1Univ Lyon, INSA‐Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1294, F‐69100, Lyon, France, 2CRLCC Léon Bérard – Département de Radiothérapie, Lyon, France, 3CRLCC Léon Bérard – Département de Radiologie, Lyon, France |
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Keywords: Quantitative Imaging, Head & Neck/ENT, Multimodal The excellent contrast between soft tissues in MRI is of great interest for head and neck radiotherapy planning. This work presents an in vivo study aiming to evaluate a multimodal acquisition protocol for tumors and organs at risks delineation and synthetic CT reconstruction based on a density assignment method. Our results showed better contrast between the tumor and healthy tissues with injected T1 MRI compared to injected CT (44,7 +/- 30,5 vs 29,9 +/- 27,2) and acceptable geometric distortions (less than 2mm). Fat content mean absolute error between CT and synthetic CT is about 0,27. |
| 1782 | Computer 145
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Characterization of Longitudinal Anatomic and Functional Changes following HIFU Therapy and Implications for Prostate Cancer Surveillance |
| Adrian Breto1, Ahmad Algohary1, Michael Tradewell2, Leonardo Bittencourt3, Oleksandr Kryvenko4, Mark Gonzalgo2, Sanoj Punnen2, Dipen Parekh2, Bruno Nahar2, and Radka Stoyanova1 | ||
1Department of Radiation Oncology, University of Miami, Miami, FL, United States, 2Desai Seth Urology Institute, Miami, FL, United States, 3Department of Radiology, UH Cleveland Medical Center, Cleveland, OH, United States, 4Department of Pathology and Laboratory Medicine, University of Miami, Miami, FL, United States |
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Keywords: Quantitative Imaging, Prostate, Focused Ultrasound Detecting prostate cancer recurrence after high intensity focused ultrasound (HIFU) therapy is a challenge for clinicians. We characterize longitudinal anatomical/functional changes of prostate in men undergoing HIFU therapy for prostate cancer. Nineteen men had mpMRI exams pre-HIFU, and at 1 and 12 months post-HIFU. Prostate volume decreased by 17% on the one year exam and in two-thirds of men changes in prostatic axis, up to 20 degrees in the direction of ablation. Functional mpMRI analysis shows a dramatic decrease in volume transfer constant (Ktrans) on dynamic contrast enhancing (DCE) imaging while there were no changes in apparent diffusion coefficient (ADC). |
| 1783 | Computer 146
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Feasibility of T1/T2/T1ρ MR Multitasking of Arm Muscle for Imaging Amyotrophic Lateral Sclerosis |
| Matthew Dausch1, Sen Ma1, Xianglun Mao1, Hsu-Lei Lee1, Yibin Xie1, Debiao Li1, Frank Diaz2, and Anthony Christodoulou1 | ||
1Biomedical Imaging Research Institute, Cedaras Sinai Medical Center, Los Angeles, CA, United States, 2Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, United States |
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Keywords: Quantitative Imaging, Neurodegeneration, MR Multitasking, Amyotrophic Lateral Sclerosis Amyotrophic Lateral Sclerosis (ALS) is a neurodegenerative motor disorder that has a need for imaging methods for longitudinal studies. T1/T2/T1ρ MR multitasking is a multiparametric, quantitative, imaging method that shows promise in being a viable tool for this purpose. In this study, we tested the feasibility of a motion weighting modified T1/T2/T1ρ MR multitasking in the arm muscles, evaluating the accuracy and precision of quantitative measurements. |
| 1784 | Computer 147
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Automatic Assessment of UTE MRI High Signal Volume in the Lung for Pediatric Patients with Cystic Fibrosis |
| Daniel Genkin1, Brandon Zanette2, Thomas Benkert3, Felix Ratjen2,4, Giles Santyr2,5, and Miranda Kirby6 | ||
1Department of Electrical, Computer, and Biomedical Engineering, Toronto Metropolitan University, Toronto, ON, Canada, 2Department of Translational Medicine, The Hospital for Sick Children, Toronto, ON, Canada, 3MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany, 4Department of Pediatrics, University of Toronto, Toronto, ON, Canada, 5Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada, 6Department of Physics, Toronto Metropolitan University, Toronto, ON, Canada |
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Keywords: Quantitative Imaging, Lung, UTE, CF, Pediatric High signal volume (MR-HSV) obtained by Ultrashort Echo-Time (UTE) MRI has been shown to be associated with disease severity in adults with CF, but has yet to be investigated in pediatric CF patients. In this study, MR-HSV was automatically extracted from UTE MRI of pediatric CF (n=9) and healthy (n=4) participants. MR-HSV measurements were significantly increased in CF compared to health, and increased MR-HSV correlated with decreased lung function (ie. FEV1pp, FEV1/FVC). The findings in this work confirm that MR-HSV measurement is feasible in pediatric participants and may reflect disease severity associated with airway/parenchyma signal intensity abnormalities in CF. |
| 1785 | Computer 148
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Feasibility of pulse wave velocity measurement in pulmonary arteries from phase-resolved functional lung MRI |
| Marius Malte Wernz1,2, Andreas Voskrebenzev1,2, Robin Müller1,2, Maximilian Zubke1,2, Filip Klimeš1,2, Gesa Pöhler1,2, Frank Wacker1,2, and Jens Vogel-Claussen1,2 | ||
1Institute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany, 2Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research (DZL), Hannover, Germany |
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Keywords: Quantitative Imaging, Velocity & Flow Phase-resolved functional lung (PREFUL) MRI-derived flow cycles are used to calculate time differences in blood flow and thus mean velocity between the truncus pulmonalis and voxels located in main pulmonary arteries. Two U-Net-based convolutional neural networks are used to identify voxels to include in the analysis. In 26 patients with chronic obstructive pulmonary disease (COPD) the resulting pulmonary artery pulse wave velocity (paPWV) values are reproducible after two weeks. The measured velocities in COPD patients and in 30 healthy subjects are in a physiologically plausible range compared to invasive measurements. |
| 1786 | Computer 149
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Fast quantitative T2 mapping at ultra-high field using sparse sampling and dictionary-based reconstruction |
| Jochen Schmidt1,2, Dvir Radunsky3, Patrick Scheibe1, Noam Ben-Eliezer3,4,5, Robert Trampel1, and Nikolaus Weiskopf1,6 | ||
1Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 2International Max Planck Research School on Neuroscience of Communication: Function, Structure and Plasticity, Leipzig, Germany, 3Biomedical Engineering, Tel Aviv University, Tel Aviv, Israel, 4Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel, 5Center for Advanced Imaging Innovation and Research (CAI2R), New York University Langone Medical Center, New York, NY, United States, 6Felix Bloch Institute for Solid State Physics, Leipzig University, Leipzig, Germany |
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Keywords: Quantitative Imaging, Sparse & Low-Rank Models Quantitative T2 mapping at ultra high-field via multi-echo spin-echo acquisitions suffers from bias introduced by pronounced transmit field inhomogeneities. Hence, accurate signal modeling is vital. Futhermore, high-resolution imaging results in longer scan times, which need to be compensated by k-space undersampling. Conventional undersampling schemes for multi-echo approaches skip identical phase encoding areas for all echo readouts. Image reconstruction quality might be improved by varying the sampling across echoes and using a low rank reconstruction approach. A multi-echo acquisition combining sparse undersampling with a dictionary modelling method was successfully used to acquire accurate T2 at 7T with a high acceleration. |
| 1787 | Computer 150
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Low Volume, Pneumatic Flow Phantom for Validation of Flowing T2* Estimation Using Projection Acquisition with Flow-Encoded Subtraction |
| Corina Margain1, Christopher Sandino2, Shreyas Vasanawala3, and Adam Bush1 | ||
1Department of Biomedical Engineering, University of Texas at Austin, Austin, TX, United States, 2Department of Electrical Engineering, Stanford University, Stanford, CA, United States, 3Department of Radiology, Stanford University, Stanford, CA, United States |
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Keywords: Quantitative Imaging, Phantoms, non-cartesian Blood-oxygen level is a known biomarker for cardiovascular diseases which can be quantified by T2*-weighted MRI. Challenges with validation and motion have limited the clinical use of T2* oximetry methods. We present a PALMS sequence to measure flowing T2* which was validated using a pneumatically powered, low-volume, continuous flow phantom. Our results suggest that the presence of readout gradients influence T2* during flowing conditions while obliquity influences T2* in all settings conditions. |
| 1788 | Computer 151
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Signal intensity form of extended Tofts model for quantitative analysis of dynamic contrast enhanced MRI data |
| Xiaobing Fan1, Aritrick Chatterjee1, Zhen Ren1, Aytekin Oto1, and Gregory S. Karczmar1 | ||
1Radiology, The University of Chicago, Chicago, IL, United States |
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Keywords: Quantitative Imaging, Cancer The extended Tofts model (ETM) requires calculation of contrast agent concentration in tissue as function of time (C(t)) using a non-linear model that results in error propagation. Here, we introduce a signal intensity (S(t)) form of ETM (SI-ETM) without calculating C(t). QIBA DCE-MRI data was used to validate the SI-ETM, and then human prostate DCE-MRI data were analyzed to compare physiological parameters calculated from the ETM and the SI-ETM. The parameters calculated from S(t) were strongly correlated with the values calculated from C(t). Bland–Altman analysis showed good agreement between the parameters calculated from the ETM and the SI-ETM. |
| 1789 | Computer 152
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Feasibility and clinical implementation of ultra-fast GRAPPATINI T2 mapping of the brain: A prospective study |
| Natascha Karolina Gruenebach1, Antoine Sanner1, Nils Friedrich Grauhan1, Mario Alberto Abello Mercado1, Andrea Kronfeld1, Vanessa Ines Schoeffling1, Tom Hilbert2,3,4, Marc A. Brockmann1, and Ahmed E. Othman1 | ||
1University medical center Mainz, Mainz, Germany, 2Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland, 3Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 4LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland |
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Keywords: Quantitative Imaging, Relaxometry, T2 Mapping We aimed to validate the clinical feasibility of the quantitative imaging MR-sequence GRAPPATINI. It offers T2 relaxometry values as well as synthetic T2-weighted images of the whole brain. 10 volunteers for the validation of repeatability and reproducebility on intra- and intersubject level and 52 patients for the morphological comparison between GRAPPATINI and standard T2-weighted sequence were included prospectively. T2 relaxation times of GRAPPATINI are robust and show only little variations among healthy subjects. Larger deviations only were found in caudate nucleus. Moreover its synthetic T2-weighted images achieve good interrater-reliability, although its subjective image quality is not equivalent to standard TSE. |
| 1790 | Computer 153
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Rapid gradient echo magnitude- and phase-based mapping of T2 and T1 using skipped-CAIPI 3D-EPI at 3T |
| Difei Wang1, Rüdiger Stirnberg1, and Tony Stöcker1,2 | ||
1MR Physics, DZNE, Bonn, Germany, 2Department of Physics and Astronomy, University of Bonn, Bonn, Germany |
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Keywords: Quantitative Imaging, Modelling, Quantitative imaging, Relaxometry, Neuro A recent study demonstrated that phase-based T2 mapping with 3D-GRE is feasible. Only two phase images acquired with a small RF spoiling phase increment are needed to generate high-quality T2 maps. Here, we investigated simultaneous T2 and T1 mapping at 3T, by including the magnitude and more phase increments acquired rapidly with a skipped-CAIPI 3D-EPI sequence. This method is able to simultaneously provide T2 and T1 maps within 4-8 minutes. In addition to multiparametric mapping, a phase-based T2 map can be provided in less than 1 minute. |
| 1791 | Computer 154
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Quantitative analysis of the placental structure and function and fetal growth using intravoxel incoherent motion MRI |
| Dana Schonberger1,2, Daphna Link-Sourani1, Netanell Avisdris1,3, Aviad Rabinowich1,4,5, Bella Specktopr Fadida1,3, Liat Ben-Sira4,6,7, Leo Joskowicz3, Liran Hiersch8, Ayala Zilberman8, and Dafna Ben Bashat1,4,7 | ||
1Sagol Brain Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel, 2The Department of Biomedical Engineering, Tel Aviv University, Tel Aviv, Israel, 3School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel, 4Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel, 5Department of Radiology, Tel Aviv Sourasky Medical Center, Israel, Tel Aviv, Israel, 6Division of Pediatric Radiology, Tel Aviv Sourasky Medical Center, Israel, Tel Aviv, Israel, 7Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel, 8Department of Maternal-Fetal Medicine and High Risk Pregnancy Outpatient clinic, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel |
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Keywords: Quantitative Imaging, Perfusion, Intravoxel incoherent motion, IVIM Placental structural and functional parameters are important for the assessment of placental insufficiency and fetal growth. Here we assessed quantitative measures of placental structural and functional parameters extracted from Intravoxel-incoherent motion (IVIM) with radiomics analysis, in fetuses with growth restriction (FGR) and appropriate for gestational age (AGA). Placental structure (volume and centricity index (CI, umbilical cord insertion location) were correlated with radiomics features of placental perfusion in AGA, and some were found to be significantly different between FGR and AGA, indicating higher functional heterogeneity in FGR. This multi-parametric quantitative placental assessment may improve identification of FGR fetuses. |
| 1792 | Computer 155
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Validation of a new method for Quantifying CBF with IVIM |
| Mira Liu1, Chisondi Simba Warioba1, Julian Bertini1, Niloufar Saadat2, Timothy Carroll1, and Gregory Christoforidis2 | ||
1University of Chicago, Chicago, IL, United States, 2Interventional Radiology, University of Chicago, Chicago, IL, United States |
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Keywords: Quantitative Imaging, Perfusion Intravoxel Incoherent Motion (IVIM) is a non-contrast MR diffusion-based scan that uses a multitude of b-values to measure various speeds of molecular perfusion and diffusion, sidestepping problems of Gd-contrast or increased transit time in neurovascular disease. Quantification of IVIM CBF in ml/100g/min using pseudo-diffusion mean transit time led to strong Wilcoxon signed rank agreement, similar sensitivity, and a small offset compared to microsphere perfusion across three physiologic states. This suggests IVIM can be used to quantify CBF in ml/100g/min in a setting of cerebral steno-occlusive disease. |
| 1793 | Computer 156
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Solving fat-water separation with arbitrary echo combination by phase unwrapping |
| Hao Peng1, Chuanli Cheng1, Xin Liu1, Hairong Zheng1, and Chao Zou1 | ||
1Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences, Shenzhen, China |
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Keywords: Quantitative Imaging, Quantitative Imaging The phase unwrapping technique is only applicable to the fat-water separation problems with IP/OP acquisition. This work developed a transition approach that enabled phase unwrapping technique applicable to fat-water separation with arbitrary TE combination. By establishing intermediate variables, the proposed method provided an effective way to diminish the traditional “ambiguity” problem. To validate the concept, datasets acquired with various field strength, anatomical areas and acquisition types (two-point and six-point acquisition) were applied, and no fat-water swaps were observed. |
| 1794 | Computer 157
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T2* Mapping to Assess Hashimoto's Thyroiditis vs Healthy Thyroid at 3.0T: Feasibility |
| Nathan Ooms1, Humberto Monsevais1, and Ulrike Dydak1 | ||
1School of Health Sciences, Purdue University, West Lafayette, IN, United States |
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Keywords: Quantitative Imaging, Body Hashimoto Thyroiditis is an autoimmune disease that largely effects women, and can cause fatigue, unexplained weight loss or gain, enlargement of the thyroid gland, and other symptoms. We are proposing utilizing T2* mapping to quantify the thyroid gland in the presence and absence of Hashimoto's Thyroiditis. Very little has been studied using T2* techniques in the thyroid gland, and what has been studies has focused on evaluating for nodules and cancer. We hope to broaden the capabilities to establish normal ranges and evaluate the effects of Hashimoto's Thyroiditis. |
| 1795 | Computer 158
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Feasibility of R2*-based cerebral venous oxygenation mapping using a clinical susceptibility-weighted imaging protocol |
| Emma Biondetti1,2, Alessandro Villani1,2, Alessandra S. Caporale1,2, Antonio Maria Chiarelli1,2, Darien Calvo Garcia1,2, Massimo Caulo1,2,3, Valentina Tomassini1,2,4,5, and Richard G. Wise1,2,5 | ||
1Department of Neuroscience, Imaging and Clinical Sciences, 'G. d’Annunzio University' of Chieti-Pescara, Chieti, Italy, 2Institute for Advanced Biomedical Technologies (ITAB), 'G. d’Annunzio University' of Chieti-Pescara, Chieti, Italy, 3Department of Radiology, 'SS. Annunziata' University Hospital, Chieti, Italy, 4MS Centre, Department of Clinical Neurology, 'SS. Annunziata' University Hospital, Chieti, Italy, 5Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, United Kingdom |
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Keywords: Quantitative Imaging, Oxygenation The brain’s oxygen extraction fraction (OEF) is a key parameter in assessing cerebrovascular function and brain oxygen consumption. We investigated the feasibility of measuring cerebral venous oxygenation (SvO2), the key determinant of OEF, based on R2* estimated from a clinical susceptibility weighted imaging protocol and vessel segmentation aided by gadolinium administration, in a cohort of patients with Multiple Sclerosis. We were able to estimate venous oxygenation in the superior sagittal sinus, straight sinus, transverse sinuses and internal cerebral veins. The global median SvO2 ranged between 0.60 and 0.68, within the range of values expected in the human brain. |
| 1796 | Computer 159
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Accelerated Sampling Strategy for High-resolution 3D T1rho Dispersion MRI with 4D Dynamic Radial Acquisitions |
| Gregory Peng1, Can Wu2, Jafari Ramin3, Yansong Zhao3, and Qi Peng1 | ||
1Department of Radiology, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, NY, United States, 2Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 3Philips Healthcare, Cambridge, MA, United States |
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Keywords: Quantitative Imaging, Quantitative Imaging, T1rho dispersion imaging T1ρ dispersion imaging based on repeated T1ρ measurements at multiple spin-lock frequencies allows characterization of different dynamic processes of tissues. The clinical potential of these techniques is, however, limited by the total scan time needed to obtain reliable and consistent quantitative measurements. In this abstract, we propose the application of a 4D dynamic sequence with radial acquisitions in combination with an accelerated data-point sampling strategy to achieve efficient coverage of the high-dimensional data space in T1rho dispersion MRI, which leads to high-resolution 3D T1rho dispersion imaging acquired within clinically acceptable scan duration of ~5 minutes. |
| 1797 | Computer 160
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New high-performance whole-body gradients to clarify Intravoxel incoherent motion DWI based multi-parametric MRI of prostate: Initial results |
| Roderic I Pettigrew1, Raja Muthupillai1, Erick Buko2,3, Michaela Martin4, and Andre Fischer4 | ||
1School of Engineering Medicine, Texas A&M University, Houston, TX, United States, 2Veterinary Clinical Sciences, University of Minnesota, Saint Paul, MN, United States, 3Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States, 4Siemens Healthcare, Erlangen, Germany |
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Keywords: Quantitative Imaging, Prostate, multi parametric MRI We demonstrate the feasibility of obtaining high b-value (b > 2400 s/mm2) DWI images of the prostate obtained with short echo times (TE ~ 50 ms) on a prototype high-performance whole-body gradient system (Gmax = 200 mT/m, and SRmax = 200 T/m/s). Preliminary results from volunteers suggest that the apparent differences in the perfusion fraction metric of the IVIM model between the transition and peripheral zones of the prostate partly can be substantially diminished by choosing a shorter TE using high-performance gradients. |
| 1798 | Computer 161
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Diffusion Tensor Imaging Parameters in ALS Post Mortem In Situ versus Ex Situ MR Acquisitions |
| Dominique Neuhaus1,2, Maria Janina Wendebourg3,4, Eva Scheurer1,2, Celine Berger1,2, Melanie Bauer1,2, Tanja Haas5, Regina Schlaeger3,4, and Claudia Lenz1,2 | ||
1Institute of Forensic Medicine, Dept. of Biomedical Engineering, University of Basel, Basel, Switzerland, 2Institute of Forensic Medicine, Health Department Basel-Stadt, Basel, Switzerland, 3Neurology Clinic and Polyclinic, Dept. of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland, 4Translational Imaging in Neurology (ThINk), Dept. of Biomedical Engineering, University of Basel, Basel, Switzerland, 5Division of Radiological Physics, Dept. of Radiology and Nuclear Medicine, University Hospital Basel, Basel, Switzerland |
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Keywords: Quantitative Imaging, Diffusion Tensor Imaging The development of magnetic resonance imaging (MRI) biomarkers in neurodegenerative diseases such as amyotrophic lateral sclerosis (ALS) might alleviate current challenges. Generally, post mortem (PM) ex situ quantitative imaging is used for the validation of potential biomarkers, which shows several limitations. In this study, PM MRI brain scans of three deceased ALS patients have been conducted. The objective was to identify differences between in situ and ex situ scans regarding the diffusion tensor imaging (DTI) measures fractional anisotropy (FA) and mean diffusivity (MD). A significant difference was found for the FA values in white matter. |
| 1799 | Computer 162
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Application of six diffusion-weighted MRI models in predicting lymph node metastasis for resectable gastric cancer: A pilot study |
| Jing Li1, Shao-yu Wang2, and Xue-jun Chen1 | ||
1Radiology, the Affiliated Cancer Hospital of Zhengzhou University (Henan Cancer Hospital), Zhengzhou, China, 2MR Scientific Marketing, Siemens Healthneers, Shanghai, Shanghai, China |
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Keywords: Quantitative Imaging, Tumor This study firstly explored the potential of six diffusion-weighted MRI models for preoperative prediction of lymph node metastasis (LNM) in resectable gastric cancer (GC). The DKI_K, CTRW_D, DKI_D, FROC_D, IVIM_D*, IVIM_f, Mono_ADC, as well as morphologic indicators of tumor thickness, clinical T staging on MRI (cT), MRI reported LN status were significantly different between LNM positive and LNM negative groups. These parameters were statistically correlated with LNM. The cT, MRI reported LN, and CTRW_D were independent risk factors of LNM, combining these three parameters yielded the highest predictive efficacy. |
| 1800 | Computer 163
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Correlation of T1/T2/PD map and apparent diffusion coefficient for neoadjuvant therapy response evaluation in three breast cancer subtypes |
| Wenhong Jiang1, Siyao DU1, Lizhi Xie2, Min Zhao2, Zichuan Xie3, and Lina Zhang1 | ||
1Department of Radiology, The First Hospital of China Medical University, shenyang, China, 2GE Healthcare, Beijing, China, 3Guangzhou institute of technology, Xidian University, Guangzhou, China |
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Keywords: MR Fingerprinting/Synthetic MR, Breast In this study, we evaluated and analyzed the potential correlation of first-order feature pairs from T1/T2/PD and ADC maps within different treatment response groups in locally advanced breast cancer patients undergoing neoadjuvant chemotherapy (NAC). In TNBC subtype, multiple features on ADC and PD maps strongly correlated only in pCR group, which may indicate PD map as complements to ADC for monitoring NAC response. |
| 1801 | Computer 164
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Does simultaneous multi-slice technique affect quantitative measurements of diffusion-weighted MR imaging in hepatocellular carcinoma? |
| Zheng Ye1, Shan Yao1, Ting Yang1, Qing Li2, Robert Grimm3, Zhenlin Li1, and Bin Song1 | ||
1Department of Radiology, West China Hospital, Sichuan University, Chengdu, China, 2MR collaborations, Siemens Healthcare Ltd., Shanghai, China, 3MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany |
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Keywords: Quantitative Imaging, Diffusion/other diffusion imaging techniques Although diffusion weighted MR imaging is of great importance in the diagnosis and evaluation of hepatocellular carcinoma (HCC), it is limited by long acquisition times. Simultaneous multi-slice (SMS) technique can reduce scan time and has been proved to be feasible in liver imaging. Our study included twenty patients with HCC, and acquired conventional and SMS-accelerated diffusion data with different models (DWI, DKI and IVIM). By analyzing quantitative parametric maps, we found SMS technique did not affect the quantitative measurements of HCC. However, the difference of mean kurtosis between conventional and SMS-accelerated DKI in liver parenchyma should be noted. |
| 1802 | Computer 165
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Multiparametric MRI Based Habitat Imaging for Differentiating Lymph Node Metastasis in Lung Adenocarcinoma |
| Gaofeng Shi1, Qi Wang1, Hui Feng1, Hui Liu1, Mengyu Song1, Xinyue Liang2, and Yongming Dai2 | ||
1Department of Radiology, Fourth Hospital of Hebei Medical University, Shijiazhuang, China, 2Central Research Institute, United Imaging Healthcare, Shanghai, China |
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Keywords: Quantitative Imaging, Cancer Analysis of lymph node metastasis (LNM) in lung cancer is vital for disease detection and treatment planning optimization. Multi-parametric MRI was widely used not only to characterize tumor size and anatomy, but also to assess the tissue metabolism and physiology. Conventionally, these are evaluated independently and/or are combined into an average parameter for the entire tumor, while the spatial information within the lesions was discarded. Habitat imaging allows to capture these subtle differences in tumors. In this context, a multi-parametric MRI based habitat analysis was approved to predict the LNM status. |
| 1803 | Computer 166
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A Machine Learning based Preoperatively Grading Rectal Method with Continue Time Random Walk DWI Model. |
| Zhijun Geng1, Shaolei Li2, Yunfei Zhang2, Yongming Dai2, and Chuanmiao Xie1 | ||
1Sun Yat-sen University Cancer Center, Guangzhou, China, 2MR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China |
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Keywords: Quantitative Imaging, Machine Learning/Artificial Intelligence Machine learning offers a principled approach for developing automatic algorithms for analysis of high-dimensional biomedical data. The continuous-time random-walk model (CTRW) is novel non-Gaussian diffusion model that provides promising evidence indicating a possible link between voxel-level spatiotemporal diffusion heterogeneity and microscopic intravoxel tissue heterogeneity giving the model advantages in diagnosing many diseases1. In this study, we apply a machine-learning algorithm, the principal component analysis (PCA), for quantitative automatic diagnosis to grade rectal cancer using parameters from CTRW model. Our study shows that PCA has the potential to grade rectal cancer with higher accuracy than the original parameters. |
| 1804 | Computer 167
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Joint fitting of ADC and R2 with an estimate of the signal offset improves noise characteristics of whole-body R2 maps. |
| Annemarie Knill1,2, Jessica Winfield1,2, Hannah Barnsley2, Benjamin Malawo2, Georgina Hopkinson2, Dow-Mu Koh1,2, Christina Messiou1,2, and Matthew Blackledge1 | ||
1The Institute of Cancer Research, London, United Kingdom, 2The Royal Marsden NHS Foundation Trust, London, United Kingdom |
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Keywords: Quantitative Imaging, Modelling Joint fitting of ADC and R2 improves the noise characteristics of whole-body R2 maps when using an iterative weighted least squares (IWLS) estimation that accounts for the signal offset, ρ, between diffusion-weighted and multi-echo-time imaging sequences. This is demonstrated using simulation experiments using relevant values of R2, ADC, and signal-to-noise ratio (SNR), where we find an improvement in R2 precision using the joint-fitting approach. Initial validation was further performed in clinical imaging examples to demonstrate the improvement in R2 map detail. |
| 1805 | Computer 168
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Quantitative DWI in patients with hepatocellular carcinoma: effects of simultaneous multi-slice acquisition and gadoxetic acid injection |
| Ting Yang1, Zheng Ye1, Shan Yao1, Qing Li2, and Bin Song1 | ||
1West China Hospital, Chengdu, China, 2MR Collaborations, Siemens Healthineers Ltd., Shanghai, China |
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Keywords: Quantitative Imaging, Liver, simultaneous multi-slice diffusion weighted imaging Diffusion weighted imaging (DWI) and gadoxetic acid-enhanced magnetic resonance imaging (MRI) are important in diagnosing hepatocellular carcinoma (HCC). Previous studies have validated that gadoxetic acid administration during enhanced MRI improves signal-to-noise ratio without influencing apparent diffusion coefficient (ADC), while the impact of simultaneous multi-slice (SMS) technique on the measurement of ADC is still unknown. Our study assessed the influence of gadoxetic acid administration on ADC values of liver with and without SMS acceleration. We found that SMS technique and gadoxetic acid administration did not affect the ADC values of liver parenchyma and HCC. |
| 1806 | Computer 169
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Combined Multiparameter Quantitative MRI of PD, T1, T2 and the Diffusion Tensor with MP6-qMRI-Turbo Spin Echo with SPLICE |
| Ning Hua1, Andrew Ellison1, Yansong Zhao2, and Hernan Jara1 | ||
1Radiology, Boston University, Boston, MA, United States, 2Philips Healthcare, Boston, MA, United States |
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Keywords: Quantitative Imaging, Diffusion Tensor Imaging, qMRI, DTI Purpose: To augment the qMRI multi-parametricity of the Triple TSE to additionally include primary diffusion tensor imaging (DTI) functionality and with seamless geometric compatibility with the nPD, T1, and T2 maps of the Triple-TSE framework. Methods: qMRI maps were generated with algorithms based on Bloch and Bloch-Torrey equations. Results: histogram analyses for the phantom and volunteer reveal well behaved qMRI data for nPD, T1, T2, MD, and FA. Conclusion: Creating a unified clinical MP-qMRI protocol for PD, T1, T2 and diffusion tensor seems within reach. |
| 1807 | Computer 170
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Apparent diffusion coefficient of the lumbar intervertebral disc as a quantitative indicator of disease severity and treatment effectiveness |
| Daiki Sakamoto1, Xinnan Li1, Hiroyuki Hamaguchi1, Katsuhisa Yamada2, Hideki sudo2, and Khin Khin Tha1,3 | ||
1Laboratory for Biomarker Imaging Science, Hokkaido University Graduate School of Biomedical Science and Engineering, Hokkaido, Japan, 2Department of Orthopedic Surgery, Hokkaido University Faculty of Medicine, Hokkaido, Japan, 3Grobal Center for Biomedical Science and Engineering, Hokkaido University Faculty of Medicine, Hokkaido, Japan |
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Keywords: Quantitative Imaging, Degenerative, Intervertebral disc degeneration, ADC, T1rho, T2*, Lumbar This prospective study aimed to evaluate the role of T1ρ, T2*, and ADC – the quantitative MRI indices, in determining the severity of intervertebral disc degeneration and treatment effectiveness. All three indices decreased with increasing Pfirmman grade, which determines the severity, suggestive of their potential as indicators of disease severity. The mean ADC of the degenerated disc increased significantly after surgery, suggesting its potential as a treatment effectiveness indicator. |
| 1808 | Computer 171
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Application of Deep Learning-based Reconstruction for Diffusion Kurtosis Imaging in Head and Neck Cancer |
| Amaresha Shridhar Konar1, Jaemin Shin2, Ramesh Paudyal1, Akash Deelip Shah3, Abhay Dave4, Maggie Fung2, Eve LoCastro1, Suchandrima Banerjee5, Nancy Lee6, and Amita Shukla-Dave1,3 | ||
1Medical Physics, Memorial Sloan Kettering Cancer Center, New York City, NY, United States, 2GE Healthcare, New York City, NY, United States, 3Radiology, Memorial Sloan Kettering Cancer Center, New York City, NY, United States, 4Touro College of Osteopathic Medicine, New York City, NY, United States, 5GE Healthcare, Menlo Park, CA, United States, 6Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York City, NY, United States |
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Keywords: Quantitative Imaging, Machine Learning/Artificial Intelligence A Deep learning (DL)-based reconstruction is a promising method to achieve higher resolution for diffusion-weighted Kurtosis imaging (DKI) without increasing signal averaging. The DKI phantom and patient results demonstrated improved image quality and reduced Gibbs (ringing) artifact, aiding in the robust estimation of Dapp and Kapp. In all phantom and patient data, the standard deviation of Dapp and Kapp measured in images reconstructed without DL was higher than in images reconstructed using DL. The NEX=1 significantly reduced the multi-b-value data acquisition time, and the DL-based reconstruction can produce images comparable to the standard NEX=2 or 4, depending on the b-value. |
| 1809 | Computer 172
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A fat quantification approach based on longitudinal relaxation time |
| Yanglei Wu1, Xiaoyue Zhou2, Ke Xu3, and Huayan Xu3 | ||
1MR Collaboration, SIEMENS Healthineers Ltd., Beijing, China, 2MR Collaboration, SIEMENS Healthineers Ltd., Shanghai, China, 3Department of radiology, West China Second University Hospital, Chengdu, China |
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Keywords: Quantitative Imaging, Fat The quantification of fat in humans is plays an important role in clinical diagnosis and scientific research. Especially in some cardiomyopathy characterized by fat deposition like arrhythmogenic right ventricular cardiomyopathy, and duchenne muscular dystrophy-associated cardiomyopathy. Current magnetic resonance imaging-based fat quantification methods have difficulty to characterizing cardiac etc. fat fractions. But the application of cardiac T1 mapping has been very extensive, and our proposed approach to build a partial volume model to utilize the T1 value of voxel obtained by T1 mapping can complete the measurement of cardiac fat content. |
| 1810 | Computer 173
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PDFF and R2* Reconstruction Error Mapping using Cramér-Rao Lower Bounds for Quality Assessment In-Vivo |
| Alexandre Triay Bagur1,2, Paul Aljabar2, Matthew Robson2, Michael Brady2, and Daniel P Bulte1 | ||
1University of Oxford, Oxford, United Kingdom, 2Perspectum Ltd, Oxford, United Kingdom |
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Keywords: Quantitative Imaging, Relaxometry Image analysts would welcome a measure of proton density fat fraction (PDFF) and R2* mapping error for image quality assessment in-vivo. This work adopts prior methodology using Cramér-Rao lower bound formulation and applies it to PDFF and R2* precision mapping in-vivo. The method is demonstrated in a software phantom and on one subject with fatty liver. The calculated maps agree with the ground truth and are informative in regions where the reconstruction signal model holds. The method should be extended to calculation of PDFF error maps. |
| 1811 | Computer 174
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Addressing Bias and Precision in Low SNR Chemical Shift Encoded MRI Proton Density Fat Fraction Estimation using a Deep Learning Reconstruction |
| Nathan T Roberts, PhD1, Nikolaos Panagiotopoulos, MD2, Ty Cashen, MD, PhD1, Daiki Tamada, PhD2, Diego Hernando, PhD2,3,4,5, Arnaud Guidon, PhD1, and Scott B Reeder, MD, PhD2,3,4,6,7 | ||
1GE HealthCare, Waukesha, WI, United States, 2Radiology, University of Wisconsin - Madison, Madison, WI, United States, 3Medical Physics, University of Wisconsin - Madison, Madison, WI, United States, 4Biomedical Engineering, University of Wisconsin - Madison, Madison, WI, United States, 5Electrical and Computer Engineering, University of Wisconsin - Madison, Madison, WI, United States, 6Medicine, University of Wisconsin - Madison, Madison, WI, United States, 7Emergency Medicine, University of Wisconsin - Madison, Madison, WI, United States |
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Keywords: Quantitative Imaging, Machine Learning/Artificial Intelligence Low bias and high precision are important for accurate diagnosis, staging, and treatment monitoring of chronic liver disease using chemical shift-encoded (CSE)-MRI. However, CSE-MRI proton density fat fraction (PDFF) measurements are often biased by an asymmetric noise distribution present in PDFF maps acquired with low/moderate signal-to-noise ratio (SNR). This work investigates the use of deep learning de-noising to mitigate this bias in phantoms and in vivo. Results demonstrate that deep learning reconstruction removes or reduces noise-related PDFF estimation bias while maintaining the expected noise distribution characteristic of PDFF. |
| 1812 | Computer 175
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Dependence of PDFF Measurement Accuracy on Location, Resolution, and Field Strength – a Phantom Experiment |
| Nikolaos Panagiotopoulos1,2, David Rutkowski3, Alexandra Anagnostopoulos1, Thekla H Oechtering1,2, Diego Hernando1,3,4,5,6, Jean Brittain3, and Scott B Reeder1,3,4,5,7,8 | ||
1Department of Radiology, University of Wisconsin-Madison, Madison, WI, United States, 2Department of Radiology and Nuclear Medicine, Universität zu Lübeck, Lübeck, Germany, 3Calimetrix, Madison, WI, United States, 4Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 5Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States, 6Department of Departments of Electrical & Computer Engineering, University of Wisconsin-Madison, Madison, WI, United States, 7Department of Medicine, University of Wisconsin-Madison, Madison, WI, United States, 8Department of Emergency Medicine, University of Wisconsin-Madison, Madison, WI, United States |
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Keywords: Quantitative Imaging, Phantoms The purpose of this work was to determine the spatial dependence of PDFF measurements at both 1.5T and 3.0T in a phantom setting. We showed that bias in CSE-MRI-based PDFF measurements is low when performed in areas not more than 20 cm from the isocenter in any direction. These results have immediate practical relevance for clinical routine, e.g., in prescribing MRI acquisitions for clinical PDFF measurements and for the correct placement of pocket phantoms in the MRI bore when used as quality assurance tools. |
| 1813 | Computer 176
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T1-compesated quantification of NOE and amide for brain tumor patients using a QUEST-like 10-point fitting |
| Chu Wang1, Chuyu Liu1, Benqi Zhao2, Zhuozhao Zheng2, and Xiaolei Song1 | ||
1center for biomedical imaging research, school of medicine, Tsinghua Univisity, Beijing, China, 2Beijing Tsinghua Changgung Hospital, Beijing, China |
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Keywords: Quantitative Imaging, CEST & MT CEST MRI is a promising molecular imaging technique, but the in vivo quantification inherently faces challenges because of multiple types of signal contaminations. Herein we introduced a QUEST-like 10-point fitting method for simultaneous NOE and amide quantification at 3T with reduced T1 contamination. The quantification method was evaluated by simulations and phantom experiments. Furthermore, for glioblastoma patients, the highlighted regions on fitted amide images are consistent with the hyperintensities on Gd-T1W maps, which is a smaller enhanced area than those on conventional APTw images. The initial results on tumor patients indicate its potential for clinical use. |
| 1814 | Computer 177
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Effect of Omega-3 Fatty Acid Content on Allylic Proton T2 at 9.4 T |
| Adam Carscadden1, Nathaniel Bly1, Anthony G. Tessier1,2, Catherine J. Field3, and Atiyah Yahya1,2 | ||
1Department of Oncology, University of Alberta, Edmonton, AB, Canada, 2Department of Medical Physics, Cross Cancer Institute, Edmonton, AB, Canada, 3Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada |
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Keywords: Quantitative Imaging, Spectroscopy, fat quantification In this work at 9.4 T, it is demonstrated that the apparent T2 (includes losses due to J-coupling) relaxation times of the allylic fat protons (≈ 2.1 ppm) is correlated with higher ω-3 content. J-coupling evolution appears to refocus with a PRESS TE of 270 ms rendering it a suitable TE for obtaining T2 estimates. Experiments were performed on oils of varying ω-3 content and preliminary in-vivo experiments were performed on two mice, each fed a different fat diet. |
| 1815 | Computer 178
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Concurrent mapping of brain metabolism and airway architecture during respiration and volitional apneas |
| Michael C Langham1, Jing Xu1, and Felix Wehrli1 | ||
1Radiology, University of Pennsylvania, Philadelphia, PA, United States |
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Keywords: Quantitative Imaging, Quantitative Imaging, Obstructive sleep apnea Obstructive sleep apnea is associated with changes in upper airway morphology and sleep disturbances from transient nocturnal hypoxemia and hypoxia. The latter adversely affects brain metabolism and neurologic function. MRI is the only non-invasive modality cable of concurrently visualize airway architecture and quantify neurometabolism during sleep. We present an interleaved pulse sequence and demonstrate its ability to detect metabolic response and airway anatomic alteration from a swallowing apnea (SA). Although airway anatomy during SA is distinctively different from a breath-hold apnea both result in similar physiological responses in terms of cerebral blood flow and venous blood oxygenation. |
| 1816 | Computer 179
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Amide proton transfer-weighted imaging for hepatocellular carcinoma: Correlation with Ki-67 labeling index |
| Jingcheng Huang1, Qingqing Wen2, Weiqiang Dou2, and Xianfu Luo1 | ||
1Clinical Medical School of Yangzhou University, Northern Jiangsu People’s Hospital, Yangzhou, China, Yangzhou City, China, 2GE Healthcare, MR Research China, Beijing, P.R. China, Beijing City, China |
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Keywords: Quantitative Imaging, CEST & MT, APTw Conventional MRI methods are difficult to reveal histologic and molecular characteristic heterogeneity of HCC. In this study, we aimed to investigate the relationship between APTw and Ki-67 labeling index (LI) in hepatocellular carcinoma (HCC) to evaluate whether APTw can reflect the pathological information of HCC at the molecular level. It was found that APTw values were significantly different between low and high Ki-67 LI in HCC, and the AUC to distinguish high and low Ki-67 LI was 0.794, indicating APTw imaging might be a potential molecular technique for predicting the malignancy grade of HCC |
| 1817 | Computer 180
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Quantification of APT and NOE(-3.5) using chemical exchange saturation transfer MRI with double saturation powers (DSP-CEST) |
| Yu Zhao1 and Zhongliang Zu1 | ||
1Vanderbilt University Medical Center, Nashville, TN, United States |
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Keywords: Quantitative Imaging, CEST & MT In this study, we proposed a new data-postprocessing method to specifically quantify the APT and NOE effects based on two canonical CEST MRI acquisitions with double saturation powers (DSP). First, Numerical simulations based on Bloch equations is used to demonstrate that the proposed method can detect the APT and NOE effects with a removal of background signals from the direct water saturation (DS) and the semi-solid magnetization transfer (MT) and the CEST signals that originate from the fast-exchange pools. Then, an in vivo validation of the proposed method is conducted using an animal tumor model at a 4.7-T scanner. |
| 2155 | Computer 161
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SSL-QALAS: Self-Supervised Learning for Multiparametric Quantitative MRI Using QALAS |
| Yohan Jun1,2, Jaejin Cho1,2, Xiaoqing Wang1,2, Michael Gee2,3, P. Ellen Grant2,4, Berkin Bilgic1,2,5, and Borjan Gagoski2,4 | ||
1Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States, 2Department of Radiology, Harvard Medical School, Boston, MA, United States, 3Department of Radiology, Massachusetts General Hospital, Boston, MA, United States, 4Fetal-Neonatal Neuroimaging & Developmental Science Center, Boston Children’s Hospital, Boston, MA, United States, 5Harvard/MIT Health Sciences and Technology, Cambridge, MA, United States |
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Keywords: Quantitative Imaging, Quantitative Imaging The 3D-quantification using an interleaved Look-Locker acquisition sequence with T2 preparation pulse (3D-QALAS) has been developed and used for acquiring high-resolution T1, T2, and PD maps from five measurements. The dictionary matching method can be used for generating quantitative maps from the acquired multi-contrast images; however, it requires an external dictionary, which needs to be pre-calculated and voxel-by-voxel fitting is computationally demanding. In this study, we propose to generate multiple quantitative maps including T1, T2, PD, and inversion efficiency (IE) maps using self-supervised learning from 3D-QALAS measurements (i.e., SSL-QALAS) for rapid, accurate, and dictionary-free multiparametric fitting. |
| 2156 | Computer 162
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Investigating the Accuracy of PD Measurements at 3T |
| Zach Lun Pang1, Maria Schmidt2, Evanthia Kousi2, and Julie Hughes3 | ||
1Medical Physics, St George’s University Hospitals NHS Foundation Trust, London, United Kingdom, 2Joint Department of Physics, The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, United Kingdom, 3The Royal Marsden NHS Foundation Trust, London, United Kingdom |
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Keywords: Phantoms, Quantitative Imaging We investigated the accuracy of clinical proton density (PD) mapping employing the variable flip-angle (VFA) method at 3T, considering the effects of B1+ and B1- fields. Following B1+ correction, the PD measurements were within 5% of the expected value for flip-angle variations up to 18%. Considerable discrepancies were observed for T1<300ms and flip-angle variations >25%. Using image intensity filters, considerable PD variations were found at the edges of the test object. Clinically, the B1+ and B1- corrected PD values of the brain were similar to values reported in the literature, rendering the VFA method a viable tool for PD mapping. |
| 2157 | Computer 163
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Normative brain atlas of T2/T1 relaxometry ratio for detection of microstructural pathology |
| Veronica Ravano1,2,3, Samuele Caneschi1,2,3, Jan Krasensky4, Michaela Andelova5, Matej Kudrna4, Tomas Uher5, Gian Franco Piredda1,6,7, Jonathan Disselhorst1,2,3, Bénédicte Maréchal1,2,3, Jean-Philippe Thiran2,3, Jonas Richiardi2, Manuela Vaneckova4, Tom Hilbert1,2,3, and Tobias Kober1,2,3 | ||
1Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland, 2Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 3LTS5, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, 4Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic, 5Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University, Prague, Czech Republic, 6Human Neuroscience Platform, Fondation Campus Biotech Geneva, Geneva, Switzerland, 7CIBM-AIT, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland |
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Keywords: Quantitative Imaging, Tissue Characterization, Neuroinflammation; Neurodegeneration Quantitative MRI allows the characterization and comparison of microstructural tissue properties and, by defining normative ranges for healthy tissue, detection of pathology. The simultaneous evaluation of multiple qMRI measures facilitates the understanding of what biological mechanisms underlie the observed deviations in relaxometry. Here, we introduce the ratio between quantitative T2 and T1 maps (T2/T1) as a microstructural property whose deviations from normative values could be predictive or characteristic of brain pathologies. A T2/T1 voxel-wise normative atlas was created and allowed characterization of tissue changes in two multiple sclerosis patients, providing complementary information to the existing T1 and T2 atlases. |
| 2158 | Computer 164
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Free-water Investigation In Parkinsonian Disorders Using Diffusion-weighted Imaging |
| Apurva Shah1, Jitender Saini2, Madhura Ingalhalikar1, Shweta Prasasd3, and Pramod Pal3 | ||
1Symbiosis Centre for Medical Image Analysis, Symbiosis International (Deemed University), Pune, India, 2Department of Radiology, National Institutes of Mental Health and Neuroscience, Bengaluru, India, 3Department of Neurology, National Institutes of Mental Health and Neuroscience, Bengaluru, India |
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Keywords: Neuroinflammation, Parkinson's Disease, Parkinsonism, Free water Parkinson's disease(PD), multiple system atrophy(MSA), and progressive supranuclear palsy(PSP) are neurodegenerative disorders with parkinsonism as a central feature. Although MSA and PSP are atypical parkinsonian disorders, they may be difficult to differentiate from PD particularly in the early stages. Multiple studies have demonstrated that patients with Parkinsonian disorders have higher freewater(FW) in the substantia-nigra-pars-compacta(SNc) and basal ganglia(BG), and FW was shown to reliably distinguish between these patients, making it a potential biomarker. Our investigation into the alterations of FW in PD and atypical parkinsonian disorders, we attempt to evaluate the alterations of freewater in the SNc and basal ganglia structures. |
| 2159 | Computer 165
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Habitat analysis by multi-parametric MRI predicts progressive white matter hyperintensities in cerebral small vessel disease |
| Xu Han1, Xiyao Gu2, and Yan Zhou1 | ||
1Radiology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, shanghai, China, 2Anesthesiology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, shanghai, China |
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Keywords: Vessels, Dementia White matter hyperintensities (WMH) are commonly seen in cerebral small vessel disease (CSVD) and are associated with an risk of cognitive impairment. However, the mechanism by which WMH develop is incompletely characterized. In this study, we conducted habitat analysis based on physiologic MRI parameters to investigate whether WMH habitat can predict progressive WMH in CSVD. We found that the physiologic MRI habitat with lower fractional anisotropy and cerebral blood flow, higher mean diffusivity, axial diffusivity and radial diffusivity was highly overlapping with the growing WMH in patients after one-year followup, and thus could predict progressive WMH in CSVD. |
| 2160 | Computer 166
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Implementation of gradient nonlinearity correction for ADC measurements in head and neck cancer |
| Ramesh Paudyal1, Akash Deelip Shah2, Amaresha Shridhar Konar1, Victoria Yu1, Dariya I Malyarenko3, Nancy Lee4, Thomas L Chenevert3, and Amita Shukla-Dave1,2 | ||
1Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 2Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 3Radiology, University of Michigan, Ann Arbor, MI, United States, 4Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, United States |
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Keywords: Quantitative Imaging, Tumor The present study evaluated the correction efficacy for ADC values bias due to the gradient nonlinearity of the MRI system on primary tumors, neck nodal metastases, and masseter muscle in the head and neck region using a vendor-provided LOw VAriance (LOVA) ADC technique. The LOVA ADC technique was developed and implemented to compensate for gradient linearity errors that may allow consistent ADC values in large FOV independent of the offset from the scanner isocenter. Our results confirmed the potential of the LOVA technique to improve ADC accuracy independent of location and scanner gradient characteristics. |
| 2161 | Computer 167
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Comparison of Constrained Quantitative BOLD with Dual-Gas Calibrated BOLD for 3D Mapping of Cerebral Oxygen Extraction Fraction |
| Hyunyeol Lee1,2, Jing Xu2, Maria A Fernandez-Seara2,3, and Felix W Wehrli2 | ||
1School of Electronics Engineering, Kyungpook National University, Daegu, Korea, Republic of, 2Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States, 3Department of Radiology, Clinica Universidad de Navarra, Pamplona, Spain |
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Keywords: Quantitative Imaging, Metabolism Recent advances of the cBOLD technique by means of dual-gas calibration have shown its ability in producing baseline OEF and CMRO2 in absolute physiologic units. A recently proposed constrained qBOLD method has shown its feasibility in proper separation of numerous confounders, yielding physiologically plausible values for both Yv and DBV across the entire brain. The purpose of this work was to compare the two oximetric techniques, dual-gas cBOLD versus constrained qBOLD, in terms of measured OEF and CMRO2 at baseline. Results suggest that the two methods yield statistically insignificant differences in OEF and CMRO2 quantifications for GM regions. |
| 2162 | Computer 168
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A Brain Age Estimation Network based on QSM using the Segment Transformer |
| Yiqing Wang1, Yuting Shi1, and Hongjiang Wei1 | ||
1School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China |
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Keywords: Quantitative Imaging, Quantitative Susceptibility mapping Quantitative Susceptibility Mapping (QSM) reflects various biological procedures, e.g., iron accumulation in deep gray matter, which is tightly associated with brain development and highly related to various neurodegenerative diseases. Nowadays, deep-learning-based methods have achieved great success in medical image segmentation due to their ability to extract multi-scale features. We create a novel network to segment key brain areas on QSM images to improve brain age prediction. Our network further integrates multi-level features by utilizing a variant of Vision Transformer, termed Segment Transformer. Results show that our method can improve brain age estimation compared to previous studies based on T1w MRI. |
| 2163 | Computer 169
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Parallel transmit (pTx) kT-points pulses improve 500µm resolution quantitative multi-parameter mapping (MPM) at 7T |
| Kerrin J Pine1, Nicolas Groß-Weege1,2, Luke J Edwards1, Tobias Leutritz1, Patrick Freund1,3, and Nikolaus Weiskopf1,4 | ||
1Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 2Siemens Healthcare GmbH, Erlangen, Germany, 3Spinal Cord Injury Center Balgrist, University Hospital Zurich, University of Zurich, Zurich, Switzerland, 4Felix Bloch Institute for Solid State Physics, Faculty of Physics and Earth Sciences, Leipzig University, Leipzig, Germany |
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Keywords: Quantitative Imaging, Parallel Transmit & Multiband, Neuro Quantitative multi-parameter mapping (MPM) at 7T can provide detailed information about brain microstructure. However, it is limited by B1+ radio-frequency (RF) transmit field inhomogeneities leading to bias and dropouts. We implemented a kt-points RF pulse approach in 500µm resolution multi-echo spoiled GRE acquisitions and AFI B1+ mapping used for MPM. It was optimized for a homogeneous non-selective excitation with short RF pulse durations, SAR compliance and high usability. In a group of 8 volunteers, bias and shading artifacts were significantly reduced. The approach is integrated in the routine scanning workflow, improving whole brain ultra-high resolution MPM at 7T. |
| 2164 | Computer 170
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Finding Precise, Direct, and Personalized Landmarks of Deep Brain Stimulus Tremor Targeting on Advanced MR imaging |
| Sohae Chung1,2, Ha Neul Song3, Yvonne W. Lui1,2, Brian H. Kopell3, and Ki Sueng Choi3 | ||
1Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States, 2Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States, 3Nash Family Center for Advanced Circuit Therapeutics, Ichan School of Medicine at Mount Sinai, New York, NY, United States |
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Keywords: Quantitative Imaging, Quantitative Susceptibility mapping, Tremor Deep brain stimulation (DBS) is an efficacious treatment for tremors. The clinical outcome is critically dependent on precisely personalized targeting, yet localization of DBS target remains challenging owing to difficulties in resolving individual thalamic nuclei or dentato-rubro-thalamic (DRT) pathways. Here we investigated retrospectively to identify neurosurgical landmarks of DBS targeting by examining the volume overlap and centroid distance between DBS contacts and DRT delineated from quantitative susceptibility imaging. Our findings show a significantly higher volume overlap of DBS contacts with DRT in the good-response tremor group, showing potential of our approach as a direct and personalized neurosurgical guidance tool. |
| 2165 | Computer 171
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Mapping of relative temperature changes through quadrupolar transverse H217O relaxivity in phantom and validated in rat at 7T and 16T UHF |
| Hannes M. Wiesner1, Tao Wang1, Xin Li1, Wei Zhu1, Kelsey Haney1, Xiao-Hong Zhu1, and Wei Chen1 | ||
1CMRR, Department of Radiology, University of Minnesota, Minneapolis, MN, United States |
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Keywords: Quantitative Imaging, Thermometry In this study we evaluate the application of linewidth thermometry using the transverse relaxation of natural abundance 17O on leading human and preclinical high-field MRI platforms. It could be beneficial as a simple and fast alternative approach compared to the phase method to assess temperature. We validated it in post-mortem rodents after preparations on phantoms. Furthermore, due to the lower operating frequency some high-field challenges could be ameliorated with the right choice of volume to signal acquisition ratio. |
| 2166 | Computer 172
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Mapping the Accuracy of Diffusion Weighted Imaging Near Total Hip Implants |
| John Neri1, Matthew Koff1, Kevin Koch2, and Ek Tsoon Tan1 | ||
1Hospital for Special Surgery, New York, NY, United States, 2Medical College of Wisconsin, Milwaukee, WI, United States |
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Keywords: Quantitative Imaging, Diffusion/other diffusion imaging techniques Multi-acquisition with variable resonance image combination (MAVRIC) with DWI can reduce artifacts associated with metal implants to characterize synovial reactions near total hip replacements. The purpose of this study was to evaluate the quantitative accuracy of DWI-MAVRIC near actual hip arthroplasty components and demonstrate the feasibility of spatially mapping ADC biases. DWI-EPI and DWI-MAVRIC images were acquired using a diffusion phantom in the presence of femoral heads of different material composition. It was found that cobalt-chromium femoral heads cause more ADC error than oxinium femoral heads. Spatial mapping of ADC accuracy near total hip implants was found to be feasible. |
| 2167 | Computer 173
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Efficient fetal brain and placental T1 mapping at 0.55T |
| Jordina Aviles Verdera1,2, Raphael Tomi-Tricot1,2,3, Lisa Story1,4, Joseph V Hajnal 1,2, Mary A Rutherford1,2, Shaihan Malik1,2, and Jana Hutter1,2 | ||
1Center for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom, 2Biomedical Engineering Department, School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom, 3MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom, 4Women's Health, Guy's and St. Thomas' NHS Foundation Trust, London, United Kingdom |
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Keywords: Quantitative Imaging, Low-Field MRI Fetal MRI provides crucial anatomical and functional information. At low field it could benefit from reduced distortion, increased bore size and increased B1 homogeneity. T1 contrast and mapping in the fetal brain provides complementary information for example for haemorrhages, infarcts and in placental disease. Here, a low-field (0.55T) fetal T1 inversion-recovery EPI-based sequence benefiting from the lower T1 and hence higher efficiency is demonstrated for placenta and brain in a cohort of pregnant participants including two clinical cases. Significant correlation with gestational age is demonstrated (p<0.05) and high quality maps allowing sub-regions analysis in the brain are shown. |
| 2168 | Computer 174
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Physics-guided self-supervised learning for retrospective T1 and T2 mapping from conventional weighted brain MRI |
| Shihan Qiu1,2, Anthony G. Christodoulou1,2, Pascal Sati1,3, Yibin Xie1, and Debiao Li1,2 | ||
1Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 2Department of Bioengineering, UCLA, Los Angeles, CA, United States, 3Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, United States |
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Keywords: Quantitative Imaging, Relaxometry Quantitative MRI directly measures tissue physical parameters, but has limited clinical adoption due to additional scan time and specialized sequence requirements. Supervised deep learning methods were developed to estimate relaxation maps from conventional weighted images. However, paired weighted images and quantitative maps required for training are hard to obtain. In this work, a physics-guided self-supervised learning approach was developed to estimate T1 and T2 maps from conventional weighted images. Using the Bloch equations to decode the estimated maps back to weighted images and enforcing similarity in the image space, the approach realized label-free training and provided maps comparable to references. |
| 2169 | Computer 175
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Three-dimensional black-blood T1 mapping of arterial plaque and venous thrombosis: a concept-proof study |
| Yuhui Nie1, Zeping Liu1, Anyan Gu1, Liping Liao2, Qizeng Ruan2, Zehe Huang2, Yi Sun3, and Guoxi Xie1 | ||
1School of Biomedical Engineering, Guangzhou Medical University, Guangzhou, China, 2The First People’s Hospital of Qinzhou, Qinzhou, China, 3Siemens Shenzhen Magnetic Resonance Ltd, Shenzhen, China |
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Keywords: Quantitative Imaging, Cardiovascular, T1 mapping Quantitative T1 mapping have showed the potential to characterize arterial plaque and venous thrombotic components. However, owing to the interference of blood signals, it is a challenge for T1 mapping technique to combine with black-blood imaging, which may otherwise be a confounder for plaque and thrombus component. In this study, we present a black-blood T1 mapping technique based on DANTE black-blood preparation and MP2RAGE sequence. Experiment results demonstrated that BB-MP2RAGE provided accurate measurement of T1 relaxation time with effective blood suppression. The technique has the potential to be a quantitative tool for thrombosis and plaque characterization. |
| 2170 | WITHDRAWN |
| 2171 | Computer 176
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Soma and neurite density imaging in multiple sclerosis reveals cortical cell body signal fraction loss associated with thalamic atrophy |
| Eva A. Krijnen1,2, Andrew W. Russo1, Elsa Salim Karam1, Hansol Lee3, Menno M. Schoonheim2, Susie Y. Huang3, and Eric C. Klawiter1 | ||
1Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States, 2MS Center Amsterdam, Anatomy and Neurosciences, Amsterdam Neuroscience, Amsterdam UMC location VUmc, Amsterdam, Netherlands, 3Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States |
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Keywords: Multiple Sclerosis, Gray Matter, Diffusion/Other Diffusion Imaging Techniques Multiple sclerosis (MS) features complex microstructural changes in gray matter (GM) ranging from demyelinating lesions to neuronal loss. We hypothesize that GM microstructural metrics obtained from diffusion MRI can predict cortical and deep GM atrophy in MS. In this cross-sectional study of 41 people with MS, the soma and neurite density imaging (SANDI) compartment-based model was fitted to high-gradient diffusion MRI data acquired on the Connectome scanner. SANDI metrics were used to characterize MS-related microstructural pathology in cortical and deep GM. Cortical fsoma decreased with declining thalamic volume, suggesting a microstructural correlate of thalamic atrophy in MS. |
| 2172 | Computer 177
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Whole Brain Spherical Mean Value Filtering for Shadow Reduction in Quantitative Susceptibility Mapping |
| Alexandra Grace Roberts1,2, Pascal Spincemaille2, Thanh Nguyen2, and Yi Wang1,2 | ||
1Electrical Engineering, Cornell University, Ithaca, NY, United States, 2Radiology, Weill Cornell Medicine, New York, NY, United States |
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Keywords: Quantitative Imaging, Artifacts Morphology Enabled Dipole Inversion (MEDI) is an iterative reconstruction algorithm for Quantitative Susceptibility Mapping (QSM) that is effective in suppressing streaking artifacts by exploiting the magnitude image as a morphological prior. However, contiguous areas of dipole incompatibility (such as noise) induce shadow artifacts whose spatial frequency components are not sufficiently regularized by the gradient-based regularization in MEDI. The harmonic quality allows the use of the maximum corollary of Green’s theorem to remove residual background field. This mSMV approach reduces shadows and preserves brain volume, comparing favorably to existing algorithms. |
| 2173 | Computer 178
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Glymphatic system abnormality in systemic lupus erythematosus identified by diffusion tensor image analysis along the perivascular space |
| Jiaying Mo1, Kan Deng2, Xiangliang Tan1, and Yikai Xu1 | ||
1Department of Medical Imaging Center, Nanfang Hospital of Southern Medical University, Guangzhou, China, 2Philips Healthcare, Guangzhou, China |
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Keywords: Head & Neck/ENT, Brain, Systemic lupus erythematosus DTI-ALPS is an non-invasive method to measure glymphatic clearance function in brain. Here, we aimed to utilize DTI-ALPS to evaluate the activity of glymphatic system and explore its relationship with grey matter volumes in patients with SLE. Our results demonstrated that the ALPS-index are lower in SLE patients than that in healthy control group. And there were significant correlations between lower ALPS-index and smaller gray matter volumes in some brain regions in SLE group. |
| 2174 | Computer 179
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Quantitative assessment of secondary white matter injury in hypothalamic subnuclei by pituitary adenomas utilizing 7-Tesla MRI |
| Mackenzie Langan1,2, Deborah Marshall3, Bradley Delman4, Raj Shrivastava5, and Priti Balchandani2,6,7 | ||
1Icahn School of Medicine at Mount Sinai, New York, NY, United States, 2Biomedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 3Department of Radiation Oncology, Mount Sinai Hospital, New York, NY, United States, 4Diagnostic, Molecular and Interventional Radiology, Mount Sinai Hospital, New York, NY, United States, 5Department of Neurosurgery, Mount Sinai Hospital, New York, NY, United States, 6Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 7Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, United States |
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Keywords: Tumors, Endocrine, Diffusion Tractograpy, hypothalamus Here we outline a preliminary analysis using a novel method that leverages UHF neuroimaging to measure detectable differences in volumetric, microstructural and tractographic measures in the hypothalamus in patients with pituitary tumors and matched controls. We uncovered significant detectable volumetric and differences within five hypothalamic subnuclei, and the whole left hypothalamus. We observed subtle differences in microstructural integrity, and although not statistically significant warrant further investigations in a larger cohort of pituitary adenoma patients. This may also facilitate exploration of microstructural integrity within other tumor types that may have effects on the hypothalamus. |
| 3391 | Computer 161
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Current UK perspectives on the challenges for clinical translation of quantitative MR imaging biomarkers. |
| Julia Markus1, Po-Wah So2, Harpreet Hyare3, and Penny Cristinacce4 | ||
1Centre for Medical Imaging, UCL, London, United Kingdom, 2Department of Neuroimaging,Institute of Psychiatry, King's College London, London, United Kingdom, 3Radiology Department, University College London, London, United Kingdom, 4Division of Cancer Sciences, The University of Manchester, Manchester, United Kingdom |
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Keywords: Quantitative Imaging, Challenges, Consensus A web-based survey was developed from the “Steps on the Path to Clinical Translation” workshop, at the British & Irish Chapter-ISMRM conference held on 7th September 2022. The survey explored the UK MRI community’s perspective on the clinical translation of quantitative MR imaging biomarkers. Three main themes emerged from the results: the need for 1) consensus; continued development of resources that unite existing work and improve shared lexicon; 2) context dependency; defining the steps to clinical translation, in ways that appreciate the uniqueness of the imaging biomarker and the clinical question; 3) a clearer definition of imaging biomarker expectation or product profile. |
| 3392 | Computer 162
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Comparison of a hybrid multi-delay pseudo-continuous arterial spin labelling scheme with time-encoded and variable-TR schemes |
| Makoto Obara1, Osamu Togao2, Lena Vaclavu3, Ryoji Mikayama4, Tatsuhiro Wada4, Shota Ishida5, Hiroshi Hamano1, Matthias J.P. van Osch3, Kim van de Ven6, Yu Ueda1, Jihun Kwon1, Masami Yoneyama1, and Marc Van Cauteren7 | ||
1Philips Japan, Tokyo, Japan, 2Department of Molecular Imaging & Diagnosis, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan, 3C.J. Gorter MRI Center, Department of Radiology, Leiden University Medical Center, Leiden, Netherlands, 4Division of Radiology, Department of Medical Technology, Kyushu University, Fukuoka, Japan, 5Department of Radiological Technology, Faculty of medical sciences, Kyoto College of Medical Science, Kyoto, Japan, 6Philips Healthcare, Best, Netherlands, 7Philips Healthcare, Tokyo, Japan |
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Keywords: Quantitative Imaging, Perfusion, ASL To accurately calculate cerebral blood flow (CBF) and arterial transit time (ATT), there are two kinds of time-efficient approaches in use for multi-delay pseudo-continuous arterial spin labelling: time-encoded and sequential variable-TR. Hybrid schemes have recently been proposed that exploit the strengths of these approaches, but they have not been evaluated head-to-head, and the purpose of this study is therefore to investigate the clinical validity of hybrid schemes. The SNR, CBF and ATT were measured and compared in seven healthy subjects. A higher SNR was obtained in the hybrid scheme with high correlation coefficients with other ATT schemes, suggesting quantitative ability. |
| 3393 | Computer 163
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Mapping changes in tissue 23Na concentration and cerebral blood flow during a visual task using ASL and functional Sodium Imaging (fNaI) |
| Iris Asllani1,2, Balázs Örzsik1, Samira Bouyagoub1, Joseph Woods3, Itamar Ronen1, Guillaume Madelin4, and Mara Cercignani5 | ||
1University of Sussex, Brighton, United Kingdom, 2Rochester Institute of Technology, Rochester, NY, United States, 3University of Oxford, Oxford, United Kingdom, 4New York University, New York, NY, United States, 5Cardiff University, Cardiff, United Kingdom |
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Keywords: Quantitative Imaging, Neuro, Sodium MRI, fMRI, Arterial Spin Labeling, Partial Volume Correction Sodium MRI was combined with arterial spin labeling (ASL) perfusion MRI to detect changes in total sodium concentration (TSC) and cerebral blood flow (CBF) associated with visual tast activation on 6 healthy volunteers. There was no overlap between the areas in the visual cortex where there was a significant change in CBF (~38%) and the regions where a change (~11%) in TSC was detected. Results from partial volume correction indicate that most of the changes in TSC originated in the white matter. |
| 3394 | Computer 164
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Integrated Fast High-Resolution MR Fingerprinting and Spectroscopic Imaging for Absolute Quantification of Metabolic Imaging |
| Mehran Baboli1,2, Fuyixue Wang1,2, Zijing Dong1,2, Jorg Dietrich2,3, Erik Uhlmann2,4, Tracy Batchelor2,5,6, Daniel Cahill2,7, and Ovidiu C. Andronesi1,2 | ||
1Radiology, A. A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States, 2Radiology, Harvard Medical School, Boston, MA, United States, 3Neurology, Division of Neuro-Oncology, Boston, MA, United States, 4Neurology, Beth Israel Deaconess Medical Center, Boston, MA, United States, 5Neurology, Brigham’s and Women Hospital, Boston, MA, United States, 6Neuro-Oncology, Dana Farber Cancer Institute, Boston, MA, United States, 7Neurosurgery, Massachusetts General Hospital, Boston, MA, United States |
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Keywords: Tumors, Spectroscopy Quantification of metabolite concentration is the primary concern in clinical MR Spectroscopic Imaging which is valuable to assess disease pathology. Absolute metabolite quantification requires correction of MRSI signal for T1/T2 relaxation and proton density, which due to time limitations are not measured in the subject of interest but assumed to be constant across all voxels based on assumed literature values. Here, we integrated 3D-Echo-Planar Time-resolved Imaging (3D-EPTI) that allows fast MR-fingerprinting of T1, T2 and PD with fast MRSI metabolic imaging in each subject. The metabolite quantification based on voxel-based MRF was compared to literature based relaxations and PD values. |
| 3395 | Computer 165
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Monitoring metronomic chemotherapy response in orthotopic breast cancer mouse model using DCE-MRI |
| Sawwal Qayyum1, Jin Zhang1, and Gene Kim1 | ||
1Radiology, Weill Cornell Medical, New York City, NY, United States |
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Keywords: Quantitative Imaging, DSC & DCE Perfusion, Cancer, Orthotopic, 4T1, Metronomic Metronomic chemotherapy (MCT) is a cost-effective combinatorial treatment that can be used to normalize tumor vasculature for further treatment. Current monitoring schemes of MCT response are either invasive or are partially sampled. Dynamic contrast enhanced (DCE)-MRI can be utilized to measure the spatial heterogeneity of the tumor microenvironment which can serve as a noninvasive biomarker for treatment response. Using an MCT dose scheme of cyclophosphamide (70mg/kgx3 IP/week), the preliminary result shows that the DCE-MRI can detect the tumor vascular normalization in the treated group. |
| 3396 | Computer 166
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The effect of black blood and fat suppression prepulses on signal modelling in T1-mapping and dynamic contrast enhanced MRI |
| Wilhelm Stehling1, Myrte Wennen1,2, Eric Schrauben1, Pim van Ooij1, Kak Khee Yeung3, Aart Nederveen1, and Oliver Gurney-Champion1,4 | ||
1Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Amsterdam, Netherlands, 2Department of Intensive Care, Erasmus Medical Centre, Rotterdam, Netherlands, 3Vascular Surgery, Amsterdam University Medical Centers, Amsterdam, Netherlands, 4Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, Netherlands |
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Keywords: System Imperfections: Measurement & Correction, Simulations In this work, we derived an equation describing the signal evolution during an SGRE sequence with preparation pulses. The signal changes especially during the earlier RF pulses and differs from the values for later RF pulses, where it approaches the signal from an SPGR sequence without prepulses. Using the derived equation might enable more accurate DCE examinations. |
| 3397 | Computer 167
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Differentiation of Triple-negative and HER2 Positive Breast Cancer Using DISCO CE-MRI |
| Guo Haodong1, Dmytro Pylypenko2, Li Haige1, Zhu Jianguo1, Yuan Xiaofan1, and Zhang Ziyan1 | ||
1the Second Affiliated Hospital of Nanjing Medical University, Nanjing, China, 2GE Healthcare, China, Beijing, Beijing, China |
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Keywords: Quantitative Imaging, Breast, DISCO CE-MR This study aims to investigate the feasibility triple-negative and HER2 positive breast cancer using DISCO CE-MRI. A total of 96 patients were recruited in the study. Quantitative and semi-quantitative parameters were used. kep and TTP had diagnostic value for triple-negative breast cancer. The AUC of kep and TTP were 0.870 and 0.928. kep had diagnostic value for HER2 positive breast cancer.The AUC of kep was 0.832. Our findings suggest that DISCO CE-MRI parameters might be reliable quantitative indicators for the differential diagnosis of triple-negative breast cancer and HER2 positive breast cancer. |
| 3398 | Computer 168
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Advanced-Model 3D DCE-MRI of Small Animals with Spatially Regularized Processing Steps |
| Radovan Jirik1, Ondrej Macicek1, Michal Bartos2, Marie Mangova3, Pavel Rajmic3, Denisa Hyvlova1, and Zenon Starcuk, jr.1 | ||
1Czech Academy of Sciences, Institute of Scientific Instruments, Brno, Czech Republic, 2Czech Academy of Sciences, Institute of Information Theory and Automation, Praha, Czech Republic, 3Department of Telecommunications, Brno University of Technology, Faculty of Electrical Engineering and Communication, Brno, Czech Republic |
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Keywords: Quantitative Imaging, DSC & DCE Perfusion In DCE-MRI, advanced pharmacokinetic models, such as the 2CX, TH and ATH models, provide a more complete set of pharmacokinetic parameters than the commonly used simpler models, such as the Tofts and Patlak models. However, their use requires higher temporal resolution and signal-to-noise ratio. Hence, advanced-model DCE-MRI allows for imaging of only a few slices. We present an approach making 3D advanced-model DCE-MRI possible and evaluate it under the low-signal-to-noise-ratio conditions of small-animal MRI. Our methodology is based on compressed sensing and spatially regularized fitting of the pharmacokinetic model. The approach is evaluated on simulated and real datasets. |
| 3399 | Computer 169
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Comparing L1 and L2 Regularizations for Quantitative Transport Mapping of Tumor: an Image Quality Analysis |
| Dominick Romano1,2, Qihao Zhang1,2, Ilhami Kovanlikaya2, Pascal Spincemaille2, and Yi Wang2,3 | ||
1Biomedical Engineering, Cornell University, New York, NY, United States, 2Radiology, Weill Cornell Medical College, New York, NY, United States, 3Biomedical Engineering, Cornell University, Ithaca, NY, United States |
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Keywords: Quantitative Imaging, Perfusion, Regularization This study compared L1 and L2 regularized Quantitative Transport Mapping (QTM1-3) of dynamic contrast enhanced (DCE) MRI in breast and neck tumor using image quality scoring. Improved consistent soft tissue and lesion characterization was observed when using the L1 norm. |
| 3400 | Computer 170
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Quantitative BOLD with Variational Bayesian inference: model comparisons with Monte Carlo simulations and in an elderly cohort |
| Linh N. N. Le1, Gregory J. Wheeler1, Nicholas P. Blockley2, and Audrey P. Fan1,3 | ||
1Department of Biomedical Engineering, University of California, Davis, Davis, CA, United States, 2School of Medicine & Health Sciences, University of Nottingham, Nottingham, United Kingdom, 3Department of Neurology, University of California, Davis, Davis, CA, United States |
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Keywords: Quantitative Imaging, Oxygenation This study uses Monte Carlo simulations to understand the behavior of quantitative BOLD in different physiological conditions, using a Variational Bayesian inference framework with prior information and data from Asymmetric Spin Echo (ASE) scans. The performance of the three models at 7 SNR levels (from 5 to 500) showed that one-compartment and two-compartment models estimated oxygen extraction fraction (OEF) more accurately than linear model across a full range of deoxygenated blood volume (DBV) (p<0.05 using two-way ANOVA with pairwise comparisons). In vivo data showed that Bayesian inference approach effectively enables smoother and quantitatively different parameter maps of OEF and DBV. |
| 3401 | Computer 171
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Automating Component Selection in Independent Component Analysis (ICA) in dynamic Oxygen-Enhanced MRI (dOE-MRI) |
| Annika Hofmann1,2, Jennifer H.E. Baker3, Firas Moosvi4, and Stefan A Reinsberg2 | ||
1Department of Physics, TU Dortmund University, Dortmund, Germany, 2Department of Physics & Astronomy, University of British Columbia, Vancouver, BC, Canada, 3Radiation Biology Unit, British Columbia Cancer Research Centre, Vancouver, BC, Canada, 4Department of Computer Science, Mathematics, Physics and Statistics, University of British Columbia, Kelowna, BC, Canada |
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Keywords: Quantitative Imaging, Cancer, Independent Component Analysis Using Independent Component Analysis (ICA) in dynamic Oxygen-Enhanced MRI has been shown to improve the sensitivity of this technique. However, the ICA component has to be identified manually by an observer. In this work we propose an optimization process that automatically determines the best number of components and extracts the component in best accordance to the target function of the breathing challenge. |
| 3402 | Computer 172
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Deep learning assisted quantification of myocardial oxygen extraction fraction |
| Ran Li1, Cihat Eldeniz1, Thomas Schindler1, Linda Peterson1, Pamela Woodard1, and Jie Zheng1 | ||
1Washington University in St. Louis, St. Louis, MO, United States |
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Keywords: Quantitative Imaging, Myocardium A previously developed MRI method for quantitative myocardial oxygen extraction mapping showed promising results, but image quality suffered from distortion and inhomogeneity artifacts. A new deep learning-based approach was developed and tested in healthy subjects. This preliminary study showed excellent reproducibility and consistent myocardial oxygen extraction values with other reported data using positron emission tomography methods. |
| 3403 | Computer 173
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Spatial variation of the negative BOLD response in human primary visual cortex |
| Artemy Vinogradov1, Nooshin J. Fesharaki1, Amanda Taylor2, David Ress2, and Jung Hwan Kim1 | ||
1University of Texas Health Center at Houston, Houston, TX, United States, 2Baylor College of Medicine, Houston, TX, United States |
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Keywords: Quantitative Imaging, fMRI (task based), Depth-dependent BOLD, neurovascular coupling, hemodynamic response function and ultra-high-field mri The negative hemodynamic response functions (nHRF), temporal dynamics of the negative BOLD response (NBR) evoked by a brief stimulus, have been reported as an inverted version of the corresponding positive HRF (pHRF). With a careful delineation of the nHRF from the stimulus representation (SR), we found that the nHRF adjacent to the SR was not the inverted version of the corresponding pHRF. We also characterized the nHRF with respect to the depth and found inverse proportion of the nHRF amplitudes between contralateral and ipsilateral sides, which can indicate different underlying mechanisms of the nHRF. |
| 3404 | Computer 174
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Quantification of Spatial Ventilation Defect Distribution in Hyperpolarized Gas MRI of Lungs Using A 3D Clustering Algorithm |
| Gabriela Maria Garcia Delgado1, Ummul Afia Shammi1, Talissa Ann Altes2, John P Mugler III3,4, and Robert Paul Thomen1,2 | ||
1Biomedical, Biological and Chemical Engineering, University of Missouri, Columbia, MO, United States, 2Radiology, School of Medicine, University of Missouri, 65201, MO, United States, 3Radiology and Medical Imaging, School of Medicine, University of Virginia, Charlottesville, VA, United States, 4Biomedical Engineering, University of Virginia, Charlottesville, VA, United States |
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Keywords: Quantitative Imaging, Hyperpolarized MR (Gas), Body, Lung, Contrast Mechanisms, Data Analysis Hyperpolarized gas (HPG) MR imaging allows for quantification of a patient’s lung function. The spatial distribution of ventilation defect patterns is often overlooked in quantitative analyses but may be important for further understanding the nature of lung disease. Here we present a method for quantifying the extent to which defect voxels tend to be sparsely distributed or clustered. This technique involves spherical region-growing for each defect voxel to assess the fraction of neighbors which are also part of a defect. A ‘clustering index’ is reported which quantifies the extent to which defect voxels are spatially congregated or scattered. |
| 3405 | Computer 175
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Stepwise validation of Perfusion MRI Kinetic Modeling using an Extracorporeal Circulation for AIF determination in Mice |
| Florian Gierse1, Florian Büther2, Juela Cufe2, Bastian Maus3, Michael Claesener2, Sven Hermann1, Klaus Peter Schäfers1, Katharina Kronenberg4, Uwe Karst4, Michael Andreas Schäfers1, Cornelius Faber3, and Philipp Backhaus2 | ||
1European Institute for Molecular Imaging, University of Münster, Münster, Germany, 2Department for Nuclear Medicine, University Hospital Münster, Münster, Germany, 3Translational Research Imaging Center, Clinic of Radiology, University of Münster, Münster, Germany, 4Institute of Inorganic and Analytical Chemistry, University of Münster, Münster, Germany |
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Keywords: Quantitative Imaging, Perfusion Calculation of perfusion parameters from DCE-MRI using pharmacokinetic modeling depends on accurate determination of the dynamic tissue concentration and the dynamic arterial blood concentration (AIF). However, precise AIFs are difficult to measure in small animals. We introduce a novel extracorporeal circulation approach from the external carotid artery for feasible AIF determination. DCE derived AIF and tissue contrast agent concentrations corresponded well with radioactive analogs and mass spectrometry. Perfusion parameters derived by different pharmacokinetic models demonstrated variable agreement with simultaneous radiotracer derived calculations of modeling parameters. Overall, we introduce an accurate and precise framework for quantitative perfusion MRI in small animals. |
| 3406 | Computer 176
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Quantification of oxygenation levels within biocompatible hydrogels subcutaneously implanted in rats |
| Yuka Sugamura1, Vikram Kodibagkar1, Amy Emerson1, and Jessica Weaver1 | ||
1Arizona State University, Tempe, AZ, United States |
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Keywords: Quantitative Imaging, Oxygenation, pO2 mapping, T1 mapping, hydrogels Cell therapy has the potential to repair irreversible pathologies including infarction and diabetes. High survival rate of the delivered cells is essential for effective treatment, where cell oxygenation is a critical factor. Biocompatible hydrogels are often used as cell delivery vehicles. Here, we propose an approach to quantify the oxygen availability that the cells encapsulated in biocompatible hydrogels experience after cell transplantation. In this study, we demonstrate the feasibility of assessing the pO2 within the hydrogels implanted in rats by combining the hydrogel with a previously developed magnetic resonance imaging (MRI) -based tissue oximetry technique. |
| 3407 | Computer 177
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Influence of different confounders on measurements results of 2D Flow MRI Examinations in Healthy Travelling Volunteers |
| Ralf Felix Trauzeddel1,2, Thomas Grandy3, Elias Daud1,2, Maximilian Müller1,2, Darian Viezzer1,2, Thomas Hadler1,2, Ning Jin4, Daniel Giese5,6, and Jeanette Schulz-Menger1,2,3 | ||
1Working 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, Charité - Universitätsmedizin Berlin, Berlin, Germany, 2Partner Site Berlin, DZHK (German Centre for Cardiovascular Research), Berlin, Germany, 3Department of Cardiology and Nephrology, Helios Hospital Berlin-Buch, Berlin, Germany, 4Cardiovascular MR R&D, Siemens Medical Solutions USA, Inc., Cleveland, Ohio, USA, Cleveland, OH, United States, 5Magnetic Resonance, Siemens Healthcare GmbH, Erlangen, Germany, 6Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany, Erlangen, Germany |
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Keywords: Quantitative Imaging, Heart, 2D Flow Various confounders can have an influence on the results of cardiovascular MRI (CMR) examinations. Data about systematic investigations of such confounders are sparse. 2D Flow CMR using segmented and realtime measurements was performed in 20 healthy travelling volunteers to examine the influence of beat-to-beat variability between different heart cycles, sequence types, field strengths and scanner configurations as well as examiners on forward flow volume and peak velocity and compared to 95% tolerance intervals established by intraobserver analysis to test for comparability and precision of measurements which revealed good to very good comparability regarding various physiological, technical and post- processing confounders. |
| 3408 | Computer 178
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Magnetic Ferritin Nanoprobe Imaging Analysis with MRI Slow Velocity Mapping Measurement |
| FangFei He1,2, Wentao Liu2, Tongwei Zhang3, Fan Yang4, Yi Hou1, Zhihua Gan1, and Dong Han2,5 | ||
1College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China, 2CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, China, 3Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, China, 4Beijing Intelligent Brain Cloud Inc, Beijing, China, 5University of Chinese Academy of Sciences, Beijing, China |
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Keywords: Quantitative Imaging, Velocity & Flow, Tumor Interstitial Fluid For effectively penetrating into tumors, drug diffusion speed should be greater than the outward tumor interstitial fluid (TIF) convection speed. Studying TIF is helpful to deeply understand the fluid behavior of tumor fluid flow and its impact on the delivery of nano drugs. In this experiment, an improved PC-MRI slow flow measurement sequence was used to detect the velocity of interstitial fluid in different tumor growth periods. Combined with clinical standard sequence, the relationship between the distribution of the magnetic ferritin (M-HFn) contrast agent in tumor and the velocity of TIF was observed and analyzed. |
| 3565 | Computer 161
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An Optimized High Resolution Acquisition and Processing Pipeline for QSM in the Prostate |
| Laxmi Muralidharan1, Manju Mathew2, Joey Clemente2, Lucy Caselton2, Sumandeep Kaur2, Mrishta Brizmohun2, Shonit Punwani2, and Karin Shmueli1 | ||
1Dept of Medical Physics and Bioengineering, University College London, London, United Kingdom, 2Centre for Medical Imaging, University College London, London, United Kingdom |
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Keywords: Quantitative Imaging, Susceptibility, Background field removal We aimed to optimize MRI acquisition with 1mm isotropic resolution and Quantitative Susceptibility Mapping (QSM) reconstruction for prostate clinical research. Acquisition parameters optimized in two subjects included fat-water phase artifact removal, parallel imaging acceleration factor, resolution and number of echoes. QSM masking, background field removal and susceptibility calculation were optimized in six subjects and three prostatectomy specimens. In-phase acquisition removed more fat-water phase artifacts than post-processing. VSHARP and excluding rectal gas reduced residual background fields and Iterative Tikhonov regularization reduced noise. This optimized (8.5 minute) protocol and pipeline will allow incorporation of prostate QSM in clinical research studies. |
| 3566 | Computer 162
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Quantitative evaluation of deep gray matter in striatal-cerebellar-brainstem circuits in Parkinson’s disease patients with freezing of gait |
| Youmin Zhang1, Naying He1, Zhijia Jin 1, Yu Liu1, Xinhui Wang1, E. Mark Haacke1,2, and Fuhua Yan1 | ||
1Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, 2Department of Radiology, Wayne State University, Detroit, MI, United States |
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Keywords: Quantitative Imaging, Quantitative Susceptibility mapping This study evaluated the structural changes of the deep gray matter in the cortico-basal ganglia and cerebellar motor circuit in Parkinson’s disease patients with freezing of gait. Using region-of-interest-based quantitative susceptibility mapping analysis, we found pronounced striatum atrophy combined with caudal substantia nigra abnormal iron accumulation in Parkinson’s disease patients with freezing of gait. This result offered new insight into future research investigating the pathophysiology of the freezing of gait. |
| 3567 | Computer 163
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Magnetic Susceptibility Separation Reveals Longitudinal Lesion Changes in Multiple Sclerosis |
| Ziyan Zhu1, Javad Hamidi Esfahani1, Nashwan Naji1, Peter Seres1, Derek Emery2, Gregg Blevins3, Penelope Smyth3, and Alan Wilman1,2 | ||
1Department of Biomedical Engineering, University of Alberta, Edmonton, AB, Canada, 2Department of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, AB, Canada, 3Division of Neurology, Department of Medicine, University of Alberta, Edmonton, AB, Canada |
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Keywords: Multiple Sclerosis, Multiple Sclerosis, Iron Change, Myelin Change Susceptibility separation may distinguish iron and myelin in multiple sclerosis (MS) lesions, but little work has been done on longitudinal changes. Twenty MS subjects were followed for 14 months to investigate para and diamagnetic changes independently using susceptibility separation in comparison to transverse relaxation and susceptibility mapping. Susceptibility separation provided distinction between myelin and iron events, offering more insight into MS lesion evolution. |
| 3568 | Computer 164
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Detecting whole mouse brain beta-amyloid plaques in 5xFAD mice using high-resolution quantitative susceptibility mapping |
| Nian Wang1, Chengqian Zhou2, Surendra Maharjan1, and Abigail Wallace1 | ||
1Radiology and Imaging Sciences, Indiana University, Indianapolis, IN, United States, 2Boston University, Boston, MA, United States |
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Keywords: Alzheimer's Disease, Alzheimer's Disease, beta-amyloid Alzheimer’s disease (AD) is an age-associated neurodegenerative disease that is reaching epidemic proportions as a result of the aging of the world’s population. It is likely that the most effective treatment for AD will need to be administrated before cognitive symptoms occur, necessitating a biomarker for the early stages of AD. Novel high-resolution MRI technologies with the capability to characterize the individual beta-amyloid plaque through the whole brain is highly desirable. |
| 3569 | Computer 165
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BTX: Simultaneous 3D Quantitative Magnetization Transfer Imaging and Susceptibility Mapping |
| Albert Jang1,2, Hyungseok Jang3, and Fang Liu1,2 | ||
1Athinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School, Charlestown, MA, United States, 2Radiology, Massachusetts General Hospital, Boston, MA, United States, 3Radiology, University of California, San Diego, San Diego, CA, United States |
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Keywords: Quantitative Imaging, Multi-Contrast, Magnetization Transfer, Quantitative Susceptibility Mapping We propose a novel sequence that enables simultaneous quantitative magnetization transfer (qMT) imaging and susceptibility mapping (QSM) for assessing tissue composition, microstructure, and microenvironment. We extend our BTS sequence to incorporate a multi-echo acquisition scheme for probing tissue susceptibility information. The acquisition allows quantification of B1+, bias-corrected T1, qMT parameters (macromolecule bound proton fraction and proton exchange rate), tissue susceptibility and T2*. The method’s feasibility is demonstrated using an in-vivo brain scan, where 3D concurrent qMT and QSM were obtained for the whole brain at feasible scan time. |
| 3570 | Computer 166
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Imaging the myelin in brain deep gray matters during brain development using sub-voxel QSM |
| Zhenghao Li1, Ruimin Feng1, and Hongjiang Wei1 | ||
1Shanghai Jiao Tong University, Shanghai, China |
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Keywords: Quantitative Imaging, Quantitative Susceptibility mapping Myelin is a non-neglectable susceptibility source in deep gray matter (DGM) nuclei. Myelination and demyelination processes are essential in DGMs during brain development and aging. However, they have not been investigated by MRI yet. We used a sub-voxel QSM method to independently image and quantify the myelin concentration in brain DGM. We recruited 32 healthy subjects with ages from 4 to 39 years old to describe the DGM myelination and demyelination trajectories. The results suggest that different DGMs display various development trajectories during brain development. |
| 3571 | Computer 167
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Using Compressed Sensing techniques for QSM on multiple sclerosis patients, to what extent can we accelerate? |
| Émilie Poirion1, Julien Savatovsky1, Jessica Guillaume2, and Mathieu Santin3,4,5 | ||
1Imaging department, Rothschild Foundation Hospital, Paris, France, 2Research clinical department, Rothschild Foundation Hospital, Paris, France, 3Institut du Cerveau (ICM) - Paris Brain Institute, Inserm U 1127, CNRS UMR 7225, Sorbonne Université, Paris, France, 4Center for NeuroImaging Research (CENIR), Paris, France, 5MDS Research International, La Rochette, France |
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Keywords: Quantitative Imaging, Quantitative Susceptibility mapping Despite the characterization of in-vivo biomarkers of MS pathophysiology, there is still a gap between histological knowledges and morphological MRI as it is performed in clinical practice. New MRI advanced techniques, such as quantitative susceptibility mapping (QSM) might help to better describe the disease, but long acquisition times are limiting their uses. Adding acceleration techniques can reduce this time. However, there is no current evidence about their impact on QSM values. Thus, we added four QSM sequences to our clinical protocol of MS follow-up, varying the acceleration factor from classical SENSE (2*2) to high compressed-sense (6, 9, and 12). |
| 3572 | Computer 168
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QSM and R2* relaxometry analysis for mapping of white matter hyptension and cognition in patients with lacunar Infarction |
| HONGWEI LI 1, XUCHEN YU1, MIN HE2, WEIBO CHEN3, Jing Ding 2, and He Wang1 | ||
1Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China, 2Department of Neurology, The Affiliated Zhongshan Hospital of Fudan University, Shanghai, China, 3Philips Healthcare, Shanghai, China |
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Keywords: Vessels, Perfusion Due to the lacunar infarcts are small, they are asymptomatic in most cases. However, the location and accumulation of multiple lacunar infarcts might lead to severe physical and cognitive impairment. This lesion, caused by the involvement of cerebral small vessel in the brain, is thought to be associated with an increased risk of Vessel dementia (VaD). Therefore, exploring the perfusion alterations in patients with early lacunar infarction might help with interventions and preventive measures, thereby reducing the social and healthcare burden. |
| 3573 | Computer 169
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DeepDECOMPOSE: A Deep Learning based framework for solving DECOMPOSE QSM |
| Jingjia Chen1, Alfredo De Goyeneche1, and Chunlei Liu1,2 | ||
1Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, United States, 2Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, United States |
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Keywords: Quantitative Imaging, Quantitative Susceptibility mapping We propose a deep learning (DL) approach to accelerate and improve the accuracy of the parameter fitting problem of DECOMPOSE-QSM. The approach allows a triple complex exponential model to be fitted in <1s on CPUs and <20ms on a GPU for a 256x256 image, vs. 5+ min for the original solver. The DL solver can be implemented with either fixed echo times or adaptive to a range of echo times and number of echoes. Trained with various additive noise levels, the DL-solver performs more robustly compared to the conventional optimization-based solver when the signal has a very low SNR. |
| 3574 | Computer 170
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Magnetic Susceptibility vs Relaxometry in the Characterization of an Animal Model of Multiple Sclerosis |
| Rehman Ali Tariq1, Rania Muhammed1, Ying Wu1, Qandeel Shafqat1, Hongfu Sun2, and Jeff F. Dunn1 | ||
1Radiology, University of Calgary, Calgary, AB, Canada, 2School of Information Techology and Electrical Engineering, University of Queensland, Brisbane, Australia |
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Keywords: Quantitative Imaging, Susceptibility, Multiple Sclerosis, Animal Models There is evidence for changes in magnetic susceptibility in the CNS of people with MS. MRI techniques utilizing relaxometry and magnetic tissue properties – R2* and quantitative susceptibility mapping, respectively – can be used to detect these changes. Both techniques were applied to study pathological changes in EAE mice compared to controls. Significant differences were found in the cortex between EAE mice and controls using R2*, while no differences in magnetic susceptibility were found between the two groups. Although this indicates that R2* may be better at detecting differences, perhaps it can be utilized as a complement to QSM analysis. |
| 3575 | Computer 171
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Realistic Abdominal QSM phantom |
| Javier Ignacio Silva1,2,3, Mathias Lambert1,2,3, Carlos Milovic3,4, Sergio Uribe2,3,5, and Cristian Tejos1,2,3 | ||
1Department of Electrical Engineering, Pontificia Universidad Catolica de Chile, Santiago, Chile, 2Biomedical Imaging Center, Pontificia Universidad Catolica de Chile, Santiago, Chile, 3Millennium Institute for Intelligent Healthcare Engineering (iHEALTH), Santiago, Chile, 4School of Electrical Engineering, Pontificia Universidad Catolica de Valparaiso, Valparaiso, Chile, 5Department of Radiology, Pontificia Universidad Catolica de Chile, Santiago, Chile |
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Keywords: Signal Modeling, Susceptibility Abdominal Quantitative Susceptibility Mapping (QSM) involves a series of additional challenges compared with brain QSM, mainly because of the presence of undesired contributions related to fat and gasses. Previously, we proposed a QSM phantom with fat contributions, which emulated different susceptibility scenarios in the abdominal region. In this work, we present an improved version which now considers additional features including a variable multi-peak fat model, variable R2* and background field features. Simulation experiments show how these new components produce of different effects, like increased signal decay in specific tissues, 1st and 2nd kind chemical shift artifacts and water/fat swaps in graph cuts reconstructions. |
| 3576 | Computer 172
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Brain iron content increase and oxygen extraction fraction reduction after iron repletion in blood donation induced iron deficiency |
| Hangwei Zhuang1,2, Alexey Dimov3, Gary Brittenham4, Pascal Spincemaille3, Thanh Nyugen3, Yi Wang3, and Eldad Hod4 | ||
1Biomedical Engineering, Cornell University, Ithaca, NY, United States, 2Department of Radiology, Weill Medical College of Cornell University, New York, NY, United States, 3Weill Medical College of Cornell University, New York, NY, United States, 4Columbia University Medical Center, New York, NY, United States |
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Keywords: Hematologic, Neuro We examined brain iron content using susceptibility source separation and oxygen extraction fraction (OEF) in adult healthy blood donors with blood donation-induced iron deficiency treated with intravenous iron repletion at the first donation and a second donation after approximately 5 months and compared it with a control group who was not treated after the first donation. Iron content increases in the parietal cortex, the caudate and the putamen were observed in the treatment group. OEF reduction was observed in the whole brain and multiple ROIs, suggesting iron repletion treatment helps reduce oxidative stress. |
| 3577 | Computer 173
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Brain iron status in children and adolescents with beta-thalassemia. |
| Daniil Kirdyashkin1, Vera Lopatina1, Petr Bulanov1,2, Natalia Kriventsova1, Galina Tereshchenko1, and Petr Menshchikov1,2 | ||
1Dmitry Rogachev National Research Center of Pediatric Hematology, Oncology and Immunology, Moscow, Russian Federation, 2Philips, Moscow, Russian Federation |
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Keywords: Quantitative Imaging, Quantitative Susceptibility mapping, Iron accumulation Background TDT patients are susceptible to secondary iron overload. Determining brain iron content may be crucial to prevent brain iron poisoning. TDT Patient and control groups consisted of 23 and 50 children and adolescents respectively. 3D, T1-weighted and susceptibility-weighted images were obtained and QSM maps were reconstructed. Magnetic susceptibility values in brain structures were adjusted for age-related iron accumulation. Statistical analysis, carried out with and without correction for age, did not reveal significant differences in brain iron content between the two groups. Brain iron overload does not occur in TDT patients, whether it be children or adults. |
| 3578 | Computer 174
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Myelin, Iron, and Free Water Content Quantification Through BIOPHYSICSS Deep Learning |
| Ilyes Benslimane1, Günther Grabner2, Simon Hametner3, Thomas Jochmann1,4, Robert Zivadinov1,5, and Ferdinand Schweser1 | ||
1Department of Neurology, Buffalo Neuroimaging Analysis Center, Buffalo, NY, United States, 2Department of Medical Engineering, Carinthia University of Applied Sciences, Klagenfurt, Austria, 3Department of Neuropathology and Neurochemistry, Medical University of Vienna, Vienna, Austria, 4Department of Computer Science and Automation, Technische Universität Ilmenau, Ilmenau, Germany, 5Department of Computer Science and Automation, Center for Biomedical Imaging, Clinical and Translational Science Institute at the University at Buffalo, Buffalo, NY, United States |
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Keywords: Quantitative Imaging, Machine Learning/Artificial Intelligence Clinical translation of quantitative MRI (qMRI) is challenged by the multiple dependencies MR signal has on different tissue compartments. We previously introduced a neural network designed for single subject analysis (BIOPHYSICSS-DL) that overcomes the multiple tissue dependencies of qMRI and produces maps of source content. BIOPHYSICSS-DL has previously focused to myelin and iron quantification in the brain but in this work we expand that model to include a free water compartment. The network also used exclusively quantitative MRI metrics but the expansion of this model was accomplished with weighted MRI data which is another critical step to eventual clinical adoption. |
| 3579 | Computer 175
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Age-dependent changes of myelin-related feature analysis in gray matter and white matter |
| Nan-Hao Chen1,2, Li-Ping Chen3, Chia-Wei Hsu3, Chin-Hua Yang1,3,4, and Hsu-Hsia Peng1 | ||
1Department of Biomedical Engineering and Environmental Sciences, National Tsing Hua University, Hsinchu, Taiwan, 2Institute of Biomedical Engineering and Nanomedicine, National Health Research Institutes, Miaoli, Taiwan, 3Department of Medical Imaging, National Taiwan University Hospital Hsinchu Branch, Hsinchu, Taiwan, 4Department of Radiology, Taoyuan General Hospital, Taoyuan, Taiwan |
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Keywords: Quantitative Imaging, Aging, Myelin-related images The regional characteristics extracted from myelin-related images have been considered the markers of brain degradation. However, a systematic investigation of age-dependent changes in myelin-related images remains deficient. We aimed to investigate the associations between regional features and age in myelin-related images. Our results revealed that ADC, mFLAIR, and T1w/T2w ratio were associated with age while aMWF showed no age-dependency. The increased heterogeneity and decreased uniformity in certain brain regions were observed in the elderly, indicating changes of microstructural tissue integrity in ADC, mFLAIR, and T1w/T2w ratio and the clinical usefulness of aMWF without a confounding factor of age in diagnosis. |
| 3580 | Computer 176
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Mapping brain development : An ex vivo multi-contrast MRI study on the ferret |
| Laura Mouton1, Anthony Ruze1, Romain Valabrègue1, Jean-Baptiste Pérot1, Lucas Soustelle2, Vaibhav Sahu3, Katja Heuer3, Stéphane Lehéricy1, Roberto Toro3, and Mathieu D. Santin1 | ||
1Institut du Cerveau (ICM) - Paris Brain Institute, Inserm U 1127, CNRS UMR 7225, Sorbonne Université, Center for Neuroimaging research (CENIR), Paris, France, 2Aix Marseille Univ, CNRS, CRMBM, Marseille, France, 3Institut Pasteur, Université de Paris, Département de neuroscience, Paris, France |
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Keywords: Quantitative Imaging, Ex-Vivo Applications, Multi-Contrast Brain development during the first weeks after birth in ferrets is similar to the one in the last trimester pregnancy in humans. Studying the ferret brain could thus provide insights about brain development and the underlying processes. We used a multi-contrast MRI approach combining diffusion-weighted and quantitative MRI at 11.7T to investigate normal brain development in the ex vivo ferret brain. We were able to reconstruct fiber tracts even at a very early stage and assess their myelination level based on macromolecular fraction values. Combining diffusion-weighted with quantitative MRI is thus an interesting imaging approach to study normal brain development. |
| 3581 | Computer 177
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Joint Inversion of Multi-Echo Gradient-Echo and Spin-Echo Data for the Estimation of Myelin Water Fraction |
| Ségolène Dega1, Ravi Dadsena2, Hendrik Paasche1, and Tony Stöcker2,3 | ||
1Helmholtz Centre for Environmental Research (UFZ), Leipzig, Germany, 2German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany, 3Department of Physics and Astronomy, University of Bonn, Bonn, Germany |
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Keywords: Quantitative Imaging, Multi-Contrast, Myelin Myelin water fraction (MWF) mapping using MRI has enabled researchers to directly examine myelination and demyelination in both developing and diseased brains. T2-, and T2*-weighted multi-echo data have been proposed to estimate MWF in the human brain. Even for the simple two pool signal models of myelin and non-myelin associated water, number of dimensions of the parameter space for obtaining MWF estimates remains high, making parameter estimation challenging. The aim of this research is to improve the accuracy of brain myelin mapping using a novel joint inversion imaging method that combines data from multiple contrasts in a single optimization process. |
| 3582 | Computer 178
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Myelin Measurement: Comparison Between Simultaneous Relaxometry, Inhomogeneous Magnetization Transfer Imaging, and Myelin Water Fraction |
| Moto Nakaya1,2, Akifumi Hagiwara1, Masanori Ozaki3, Hiroshi Kusahara3, Yasunobu Hoshino4, Yuji Tomizawa4, Kazumasa Yokoyama4, Shohei Fujita1,2, Christina Andica1, Koji Kamagata1, Masaaki Hori1,5, Akihiko Wada1, Osamu Abe2, and Shigeki Aoki1 | ||
1Department of Radiology, Juntendo University, Tokyo, Japan, 2Department of Radiology, The University of Tokyo, Tokyo, Japan, 3Canon Medical Systems Corporation, Kawasaki, Japan, 4Department of Neurology, Juntendo University, Tokyo, Japan, 5Department of Radiology, Toho University Omori Medical Center, Tokyo, Japan |
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Keywords: Multiple Sclerosis, Validation In 16 healthy adults, we examined the correlation between three MR myelin measurement methods, including myelin volume fraction (MVF) measured with simultaneous tissue relaxometry of R1 and R2 relaxation rates and proton density, inhomogeneous magnetization transfer imaging (ihMT), and myelin water fraction (MWF). A strong correlation was obtained between ihMT and MVF, and MWF was less correlated with the others. We should be mindful that these metrics are measuring different aspects of “myelin”. |
| 3583 | Computer 179
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Quantitative Myelin Water Imaging Using Short TR Adiabatic Inversion Recovery Prepared FSE (STAIR-FSE) and EPI (STAIR-EPI) Sequences |
| Dina Moazamian1, Sam Sedaghat1, Jiyo S Athertya1, Bhavsimran Singh Malhi1, Soo Hyun Shin1, James Lo1,2, Hyungseok Jang1, Eric Y Chang1,3, Jiang Du1,2,3, Graeme M Bydder1, and Yajun Ma1 | ||
1Radiology, UC San Diego, San Diego, CA, United States, 2Bioengineering, UC San Diego, San Diego, CA, United States, 3Radiology Service, Veterans Affairs San Diego Healthcare System, San Diego, CA, United States |
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Keywords: Multiple Sclerosis, Multiple Sclerosis, Myelin water Myelin water imaging (MWI) techniques have shown great promise for the early detection of demyelination and monitoring the effectiveness of neuroprotective therapies in remyelination. The purpose of this study is to develop new clinical transitional MWI techniques, which employ a short TR adiabatic inversion recovery (STAIR) preparation in combination with clinical FSE and EPI acquisitions. Quantified apparent myelin water fractions (aMWFs) show myelin loss in lesions and normal-appearing white matter (NAWM) in patients with multiple sclerosis compared to normal white matter (NWM) in healthy volunteers, demonstrating their potential in clinical practice. |
| 3584 | Computer 180
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Comparison of myelin water fraction mapping on ex vivo human brain at 3T and 7T |
| Guojun Xu1, Zhiyong Zhao1, Qinfeng Zhu1, Zuozhen Cao1, Keqing Zhu2,3, Jing Zhang2,3, and Dan Wu1 | ||
1Department of Biomedical Engineering, Zhejiang University, Hangzhou, China, 2China Brain Bank and Department of Neurology in Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China, 3Department of Pathology, Zhejiang University, Hangzhou, China |
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Keywords: Quantitative Imaging, White Matter Multi-echo gradient-echo (mGRE) is an important method to quantify myelin water fraction (MWF) of the human brain, but the results may depend on field strength given the difference in T2*. This study performed mGRE-based MWF on ex vivo human brain at high resolution at both 3T and 7T. We found MWF-derived from 7T showed higher measurements with lager standard deviations compared to those 3T, and the 3T and 7T results showed moderate agreement. These findings indicated the MWF mapping result was field-strength dependent and further validations were needed to support their reliability. |
| 5083 | Computer 141
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Improved diagnosis performance of CAD using single-bolus quantitative stress perfusion CMR imaging: a pilot study of reproducibility |
| Zhaoxia Yang1, Chunlin Xiang1, Weiyin Vivian Liu2, Haonan Wang3, Lu Huang1, and Liming Xia1 | ||
1Tongji Hospital,Huazhong University of Science and Technology, wuhan, China, 2MR Research, GE Healthcare, Beijing, China, 3MR Research, General Electric Healthcare, Chicago, IL, United States |
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Keywords: Quantitative Imaging, Ischemia, stress cardiac magnetic resonance imaging Automated CMR perfusion maps enable quantification of MBF for detection of myocardial ischaemia rapidly within a clinical workflow. Stress perfusion CMR derived quantitative parameters had good to excellent reproducibility, as well as quantitative MPR was moderately correlated with semi-quantitative MPR. Quantitative myocardial perfusion CMR provides objective indices (MBF and MPR), which could better identify disease extent and detect coronary microvascular disease than visual interpretation. |
| 5084 | Computer 142
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Reproducibility of diffusion kurtosis parameters for a quantitative phantom in a multi-system study |
| Dariya Malyarenko1, Scott D Swanson1, Ramesh Paudyal2, Amaresh Konar2, Eddy Solomon3, Eric E Sigmund4, Stephen E Russek5, Sungheon Gene Kim3, Amita Shukla-Dave2,6, and Thomas L Chenevert1 | ||
1Radiology, University of Michigan Health System, Ann Arbor, MI, United States, 2Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 3Radiology, MRI Research Institute, Weill Cornell Medical College, New York, NY, United States, 4Radiology, Center for Biomedical Imaging, NYU Langone Health, New York, NY, United States, 5National Institute of Standards and Technology, Boulder, CO, United States, 6Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States |
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Keywords: Quantitative Imaging, Diffusion/other diffusion imaging techniques, diffusion kurtosis, multi-system reproducibility, quantitative phantom This work studied reproducibility of apparent diffusion (Da) and kurtosis (Ka) coefficients for three families of lamellar-vesicle materials in a quantitative phantom scanned at ambient temperature in a multi-site setting. Inter-system reproducibility of Ka was improved by maximum b-value fit-constraints for phantom materials with higher solid concentration, while temperature calibration improved Da parameter consistency predominantly for materials with low solid concentration and containing longer-chain alcohols. After correction for temperature-dependence, these materials exhibited apparent diffusion reproducibility comparable to that of standard Gaussian diffusion controls. |
| 5085 | Computer 143
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Repeatability of ProMyoT1: an open-source inversion recovery myocardial T1 mapping sequence for fast prototyping |
| Andreia S Gaspar1, Nuno A Silva2, António M Ferreira3,4, and Rita G Nunes1 | ||
1Institute for Systems and Robotics - Lisboa and Department of Bioengineering, Instituto Superior Técnico – Universidade de Lisboa, Lisbon, Portugal, 2Hospital da Luz Learning Health, Luz Saúde, Lisbon, Portugal, 3Serviço de Cardiologia, Hospital de Santa Cruz, Centro Hospitalar Lisboa Ocidental, Lisbon, Portugal, 4Unidade de Imagiologia Cardíaca Avançada, Hospital da Luz, Lisbon, Portugal |
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Keywords: Quantitative Imaging, Heart, T1 mapping The open-source method Prototype of Myocardial T1 mapping (ProMyoT1) created with Pulseq was tested in vivo in healthy subjects to evaluate its repeatability and compare its performance with that of the clinical MOLLI method. ProMyoT1 provided myocardium T1 values similar to those obtained with MOLLI. The precision was better for MOLLI, but the repeatability measures (Coefficient of Variation and Repeatability Coefficient) were similar in both methods. The developed ProMyoT1 method was shown to be reliable and should improve the accessibility to T1 mapping, while also enabling fast sequence prototyping so that further improvements can easily be tested. |
| 5086 | Computer 144
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Hydrogel-based quantitative multi-parametric MRI phantom with controlled T2, diffusion and kurtosis |
| Scott D. Swanson1, Ted Lynch2, Shigeto Ono2, and Dariya I. Malyarenko1 | ||
1Department of Radiology, University of Michigan, Ann Arbor, MI, United States, 2CIRS/Mirion Inc., Norfolk, VA, United States |
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Keywords: Quantitative Imaging, Phantoms, Diffusion, Kurtosis, Transverse Relaxation A set of materials with tunable T2, diffusion, and kurtosis were assembled to create quantitative biomimetic MRI phantoms. T2 is controlled with variable agarose concentration, mono-exponential diffusion by polyvinylpyrrolidone, and kurtosis by addition of lamellar vesicles. The phantoms are mechanically stabilized by polyacrylamide gels to allow biomimetic morphologies. These nanostructured systems provide an ideal platform for moldable multiparametric MRI phantoms that are useful for pulse sequence design and protocol standardization for multi-site multi-vendor imaging trials, as well as for refinement of emerging AI analysis methods. |
| 5087 | Computer 145
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Inter-site variability observed in R1 maps of the brain generated from two-point inversion-recovery MRI |
| Stella Heo1, Christopher Rowley2, Christine Tardif2, and Nicholas Bock1 | ||
1Department of Psychology, Neuroscience & Behaviour, McMaster University, Hamilton, ON, Canada, 2McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada |
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Keywords: Quantitative Imaging, Challenges, Reproducibility The longitudinal relaxation rate (R1) is deemed to be a suitable quantitative imaging metric for multi-site investigations as it describes a quantitative property of the tissue that can be measured, reproduced, and compared across sites when differences in hardware and acquisition settings are accounted for. Here, we present inter- and intra-vendor variability observed in whole-brain R1 maps generated from two-point inversion-recovery MRI data after accounting for variations in pulse sequences and B1+ field maps. We posit that this inter-site variability may be due to differential intensity scaling applied at acquisition and suggest a potential correction method using site-specific scaling factors. |
| 5088 | Computer 146
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Modeling and selection of T1 and T2 tissue mimics for 0.0065T, 0.064T, 0.55T MRI using agarose with manganese, gadolinium, copper, or nickel |
| Kalina V Jordanova1, Ye Tian2, Sheng Shen3, Michele N Martin1, Megan E Poorman4, Rui Pedro Teixeira4, Krishna S Nayak2, Matthew S Rosen3,5, and Kathryn E Keenan1 | ||
1NIST: National Institute of Standards and Technology, Boulder, CO, United States, 2Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, United States, 3Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States, 4Hyperfine, Inc., Guilford, CT, United States, 5Department of Physics, Harvard University, Cambridge, MA, United States |
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Keywords: Quantitative Imaging, Relaxometry There is re-emerging interest in MRI fields ≤0.55T as well as quantitative MRI (qMRI) methods. Physiologically relevant reference objects are needed to adapt qMRI techniques to lower fields.
We investigate materials as tissue mimics for brain imaging at 0.0065T, 0.064T, 0.55T, for white matter, gray matter, fat, cerebrospinal fluid, and blood. We create samples composed of agarose and paramagnetic salts and measure relaxation across field strengths. Samples suitable to mimic each tissue are presented for each field strength. This work will facilitate qMRI development for fields ≤0.55T by providing accessible mimic compositions to the community. |
| 5089 | Computer 147
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Repeatability, Distortion and SNR comparison of diffusion-weighted imaging techniques on an MR-Linac |
| Prashant Prabhakaran Nair1, Robin J.M. Navest2, Rosie Goodburn1, Bastien Lecoeur1, Uwe Oelfke1, and Andreas Wetscherek1 | ||
1Radiotherapy and Imaging, The Institute of Cancer Research, London, United Kingdom, 2Netherlands Cancer Institute, Amsterdam, Netherlands |
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Keywords: Quantitative Imaging, Precision & Accuracy, MR-Linac DW-acquisitions with high ADC accuracy, precision and low geometric distortion are necessary for using ADC maps for treatment planning and response assessment in MR-guided radiotherapy on MR-Linacs. We measured SNR, ADC bias, repeatability coefficient and marker distances on the NIST phantom for DW-EPI, DW-TSE and SPLICE protocols. Two volunteers were scanned in the head and neck region. The investigated TSE-based protocols showed ADC bias and DW-EPI demonstrated better repeatability. Spectral fat-suppression techniques led to higher SNR than using STIR. SPLICE DWI could be an alternative to diffusion EPI with reduced distortion and comparable SNR, if low-high profile order is used. |
| 5090 | Computer 148
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Establishing absolute temperature scale and diffusion metrics in PVP phantoms for cross-center standardization |
| Neville D Gai1, Ruifeng Dong1, Jeffrey Hopkins2, and Carlo Pierpaoli1 | ||
1Laboratory of Quantitative Imaging, National Institute of Biomedical Imaging and Bioengineering, Bethesda, MD, United States, 2MR Division, GE Healthcare, Waukesha, WI, United States |
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Keywords: Quantitative Imaging, Diffusion Tensor Imaging, PVP phantom, spectroscopy, temperature mapping Clinical acceptance of quantitative diffusion MRI faces difficulties due to lack of standardization. Quality control across platforms and centers is vital for multicenter efforts. Polyvinylpyrrolidone(PVP) phantoms provide excellent properties suitable for cross-center validation. However, diffusion metrics vary with temperature. Measuring phantom temperature along with diffusion metrics is necessary. Spectroscopic temperature mapping of the PVP phantom and ADC values were investigated on two different vendor platforms. It is shown that the water peak moves relative to easily identifiable stable peaks in PVP allowing intrinsic temperature measurement. Excellent agreement for temperature and ADC mapping across both platforms should make cross-site standardization possible. |
| 5091 | Computer 149
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Increasing the repeatability of DESS 3D brain T2 mapping with optimized k-space sampling order |
| Emile Clements Kadalie1, Aurélien J Trotier1, Nadège Corbin1, Sylvain Miraux1, and Emeline J Ribot1 | ||
1Centre de Résonance Magnétique des Systèmes Biologiques, UMR5536, CNRS / Université de Bordeaux, Bordeaux, France |
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Keywords: Quantitative Imaging, Brain, T2 mapping While recent works have determined that the DESS sequence has the ability to produce 3D T2 mapping of the brain, it remains sensitive to B0-related variation due to respiration. Multiple encoding strategies, using cartesian-spiral trajectories with different lengths combined with a variable density Poisson undersampling mask and Compressed-Sensing reconstruction, were consequently employed and compared in order to suppress respiration artifacts as well as to establish accurate and repeatable 3D T2 maps of the brain at 3T. |
| 5092 | Computer 150
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Reproducibility of Whole-Body Variable Flip Angle T1 Mapping Using Only Two Flip Angles |
| Alistair Lamb1, David Atkinson2, Shonit Punwani2, Hui Zhang3, and Anna Barnes4 | ||
1Department of Medical Physics & Biomedical Engineering, University College London, London, United Kingdom, 2Centre for Medical Imaging, University College London, London, United Kingdom, 3Centre for Medical Image Computing, University College London, London, United Kingdom, 4King's Technology Evaluation Centre, King's College London, London, United Kingdom |
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Keywords: Quantitative Imaging, Whole Body, T1-mapping We investigate the feasibility of whole-body (WB) variable flip angle (VFA) T1 mapping using linear least squares fitting with only two flip angles (FAs) in order to obtain WB T1 maps within a clinically viable timeframe. This could enable its use as an imaging biomarker in metastatic cancer. We assessed the agreement across eight subjects in a variety of abdominal tissues between T1 estimates fitted using eight FAs and just 2 FAs. We found that VFA T1 mapping can be achieved by acquiring only two FAs with minimal loss to precision, providing the lower FA is between 2.5° and 7.5°. |
| 5093 | Computer 151
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Long-term QSM reproducibility phantom from a commercially available design |
| Eric Y. Pierre1, David N. Vaughan1,2, Warda T. Syeda3, Bahman Tahayori1, Heath R. Pardoe1, David F. Abbott1, and Graeme D. Jackson1 | ||
1Imaging and Epilepsy, The Florey Institute of Neuroscience and Mental Health, Melbourne, Australia, 2Department of Neurology, Austin Health, Melbourne, Australia, 3Department of Psychiatry, The University of Melbourne, Melbourne, Australia |
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Keywords: Quantitative Imaging, Quantitative Susceptibility mapping, Reproducible Research We propose the customization of a commercially-available phantom design to be used for QSM reproducibility research with long-term stability, allowing reproduction of the phantom itself commercially. The proposed phantom is based on master-dilution of Gadolinium in pure water vials, offering long-term stability, with theoretical susceptibility range chosen to match normal tissue and common pathologies in the brain. We evaluate the suitability of the phantom for QSM reproducible research for different sequences, orientation within the scanner and regularization algorithms. |
| 5094 | Computer 152
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Test-Retest Repeatability of Smart BrainQuant (STAGE) of the healthy brain at 1.5T |
| Yuting Ling1, Jianjun Zhang2, Jiangwei Xiang2, Yu Wang1, Zhenzhuang Miao1, Xingxing Zhang1, Xiaoyun Liang1, and Feng Huang1 | ||
1Neusoft Medical Systems Co., Ltd., Shanghai, China, 2Department of Radiology, Affiliated Zhejiang Hospital, Zhejiang University School of Medicine, Hangzhou, China |
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Keywords: Stroke, Screening Smart BrainQuant, adapted from strategically acquired gradient echo (STAGE) method, is capable to provide 10 multi-contrast and multi-quantitative images with high image quality in 4:21 minutes at 1.5T. A preclinical validation work was introduced in this study with the aim to assess the test-retest repeatability of T1, proton spin density (PSD), susceptibility, and R2* by recruiting 18 healthy volunteers. Coefficient of variation of T1, PSD, and R2* ranged from 3.3% to 4.1%. Bland-Altman demonstrated that the line of equality is in the 95% confidence interval (CI) of the mean difference for the four maps. |
| 5095 | Computer 153
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Multicenter and multi-vendor reproducibility of T1, T2 and ADC phantom data on 1.5T and 3T MRI scanners |
| Anna Caroli1, Siria Pasini1, Tau Vandelboe2, Anish Raj3,4, Leyre Garcia-Ruiz5, Anika Strittmatter3,4, Rebeca Echeverria-Chasco5, Giulia Villa1, Paolo Brambilla6, Esben Søvsø Szocska Hansen2, Steffen Ringgaard2, Frank G Zoellner3,4, Maria Fernandez-Seara5, Susan Francis7, and Christoffer Laustsen2 | ||
1Bioengineering Department, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Ranica (BG), Italy, 2The MR Research Centre, Aarhus University, Aarhus, Denmark, 3Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany, 4Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany, 5Clínica Universidad de Navarra, Pamplona, Spain, 6Unit of Radiology, ASST Papa Giovanni XXIII, Bergamo, Italy, 7University of Nottingham, Nottingham, United Kingdom |
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Keywords: Quantitative Imaging, System Imperfections: Measurement & Correction This multicentre study aimed at assessing multi-vendor accuracy and reproducibility of typical MR biomarkers on 3T and 1.5T scanners from 5 clinical centers. MRI acquisitions were performed using NIST protocols, on Essential System and Diffusion NIST phantoms. T1 was measured by 3-parameter fitting, while T2 and ADC by mono-exponential fitting, using PhantomViewer software. When compared with reference values, non-negligible discrepancies were found across vendors, especially for T1 and T2 measurements. Reproducibility was vendor-dependent, and higher on 3T than on 1.5T scanners. ADC and T1 showed highest reproducibility. Corrections are likely needed to account for possible temperature and scanner differences. |
| 5096 | Computer 154
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Longitudinal stability of brain and spinal cord structural quantitative MRI measures |
| Mathieu Boudreau1, Agah Karakuzu1, Arnaud Boré2,3, Kiril Zelenkovski4, Basile Pinsard2,3, Eva Alonso-Ortiz1, Julie Boyle2,3, Pierre Bellec2,3,5, and Julien Cohen-Adad1,3,6,7 | ||
1NeuroPoly, Polytechnique Montreal, Montreal, QC, Canada, 2Centre de Recherche de l’Institut Universitaire de Gériatrie de Montréal (CRIUGM), Montreal, QC, Canada, 3Unité de Neuroimagerie Fonctionnelle (UNF), Centre de Recherche de l’Institut Universitaire de Gériatrie de Montréal (CRIUGM), Montreal, QC, Canada, 4Faculty of Computer Science and Engineering (FINKI), Skopje, Macedonia, 5Psychology Department, Université de Montréal, Montreal, QC, Canada, 6Mila - Quebec AI Institute, Montreal, QC, Canada, 7Centre de recherche du CHU Sainte-Justine, Université de Montréal, Montreal, QC, Canada |
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Keywords: Quantitative Imaging, Quantitative Imaging The stability of quantitative MRI measures of microstructure in the brain and spinal cord was quantified longitudinally over three years. Six healthy subjects were scanned approximately four times per year with an structural quantitative imaging protocol (T1w, T2w, T2*w, DWI, MP2RAGE, MTsat, and B1). The intra-subject COV indicated good stability of all quantitative metrics measured in the brain (< 2.3% in WM, < 3.1% in GM). The spinal cord resulted in slightly higher COVs (3.9% - 9.5%). This work is part of a larger project, the Courtois project on neural modelling (CNeuroMod). |
| 5097 | Computer 155
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Validation of the Single Reference Variable Flip Angle T1 mapping method in an innovative phantom |
| Michael Malmberg1, Henrik L Odéen2, and Dennis L Parker2 | ||
1Biomedical Engineering, University of Utah, Salt Lake City, UT, United States, 2Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, United States |
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Keywords: Quantitative Imaging, Quantitative Imaging, T1 mapping An innovative cylindrical phantom is used to mimic a dynamic acquisition with temperature-induced changes in T1. Single reference (SR) variable flip angle (VFA) T1 maps are acquired at several rotational positions of this phantom, and are compared to corresponding T1 values acquired with the dual-angle variable flip angle and inversion recovery T1 mapping methods. The SR-VFA method of T1 mapping is shown to produce T1 accuracy within 4-10% of both inversion recovery and dual-angle VFA T1 measurements. |
| 5098 | Computer 156
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T1 and T2 measurement variability across commercial and prototype 0.55T systems |
| Kathryn E Keenan1, Bilal Tasdelen2, Adrienne E Campbell-Washburn3, Harish Sharma4, Ahsan Javed3, Rajiv Ramasawmy3, Michele N Martin1, Nicole Seiberlich4, and Krishna Nayak2 | ||
1NIST, Boulder, CO, United States, 2Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, United States, 3Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States, 4Department of Radiology, University of Michigan, Ann Arbor, MI, United States |
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Keywords: Quantitative Imaging, Relaxometry We compare T1 and T2 measurements between the Free.Max and ramped-down Aera using the ISMRM/NIST system phantom at multiple sites. All 0.55T systems had comparable, to each other, measurements of T1 and T2 on both the NiCl2 and MnCl2 arrays. The T1 measurement of the NiCl2 array by VFA-GRE with B1+correction was overestimated compared to the site-reference by 1% to 92%. The rest of the measurements – MnCl2 T1, NiCl2 T2, and MnCl2 T2 – were within +/-20% of the site-reference and NMR-reference values. As adoption of 0.55T platforms increases, it is important to characterize and compare systems across sites. |
| 5099 | Computer 157
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Blood Oxygen Level-Dependent Imaging in Peripheral Artery Disease: Feasibility and Reproducibility of perfusion measurements |
| Xiaoxi Yu1, Zhaoxi Liu2, Jianxun Qu3, Fengdan Wang2, Zhichao Lai1, Xiaoyuan Fan2, Luming Ye4, Jiang Shao1, Yan Zhang2, Bao Liu1, Zhengyu Jin2, and Feng Feng2 | ||
1Vascular Surgery, Peking Union Medical College Hospital, Beijing, China, 2Radiology, Peking Union Medical College Hospital, Beijing, China, 3MR Collaboration, Siemens Healthineers Ltd., Beijing, China, 4Advanced Therapies Collaboration, Siemens Healthineers Ltd., Beijing, China |
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Keywords: Quantitative Imaging, Perfusion This study used blood oxygen level-dependent (BOLD) imaging to assess the hemodynamics of the lower limbs among elder controls and patients with peripheral artery disease (PAD). The BOLD-derived perfusion parameters, such as time to peak and gradient during reactive hyperemia, showed good reproducibility and significantly differed between patients and controls. The results indicated decreased vasodilatation ability and perfusion levels in patients with PAD. Therefore, BOLD imaging can be a feasible perfusion assessment method for long-term noninvasive PAD monitoring. |
| 5100 | Computer 158
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7T cross-vendor repeatability study of cartilage T2 values using DOSMA on qDESS images |
| Jessica Lauren Asay1, Krithika Balaji2, Anthony A Gatti1, Arjun D Desai1, Michael Mendoza2, Zimu Huo2, Akshay S Chaudhari1,3, Feliks Kogan1, Peter J Lally4,5, Neal K Bangerter2, and Garry E Gold1 | ||
1Radiology, Stanford University, Stanford, CA, United States, 2Bioengineering, Imperial College London, London, United Kingdom, 3Biomedical Data Science, Stanford University, Stanford, CA, United States, 4Brain Sciences, Imperial College London, London, United Kingdom, 5UK Dementia Research Institute Centre for Care Research and Technology, London, United Kingdom |
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Keywords: Quantitative Imaging, Data Processing, Repeatability, cartilage, knee Cartilage T2 relaxation times (T2), used to detect early knee osteoarthritis, lack standardization in acquiring and processing data, making comparisons between studies difficult. Standardizing image post-processing could possibly control for biases. Here, we assess qDESS cartilage T2 repeatability across two different sites and 7T scanner vendors with identical automatic segmentation and T2 mapping software. Within-site repeatability was good (ICC≥ 0.75) for most cartilage regions, while cross-vendor repeatability was good for the tibial and femoral posterior cartilage. This preliminary study shows standardizing acquisition and post-processing can lead to repeatable T2 values across different vendors. |
| 5101 | Computer 159
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Phantom T1rho and T2 relaxation times demonstrate good repeatability across sequences and scanner position |
| Yael Vainberg1, Valentina Mazzoli1, and Feliks Kogan1 | ||
1Stanford University, Stanford, CA, United States |
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Keywords: Quantitative Imaging, Cartilage, Repeatability T2 and T1rho repeatability is essential for evaluating the small changes that occur during early osteoarthritis disease progression. In this study, we acquired phantom data on T2 and T1rho relaxation times across 6 time points as well as 3 distinct locations along the scanner for T2/T1rho 3D MAPSS and 3D qDESS with varying resolution for T2 mapping. We observed repeatability of the 4 quantitative MRI sequences that were well within the QIBA benchmark for phantom scans of 4-5%. Further, our data suggests that phantom positioning within the scanner bore did not affect repeatability or quantitative values. |
| 5102 | Computer 160
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Repeatability of Hyperpolarized Xenon-129 4D Imaging |
| Hooman Hamedani1, Stephen Kadlecek2, Faraz Amzajerdian2, Ryan Baron2, Kai Ruppert2, Mostafa Ismail2, Luis Loza2, Duncan Ian2, and Rahim Rizi2 | ||
1Radiology, University of Pennsylvania, Philadelphia, PA, United States, 2University of Pennsylvania, Philadelphia, PA, United States |
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Keywords: Quantitative Imaging, Lung, Hyperpolarized MRI In order to image function in the free breathing lung with high temporal and special resolution, we have developed a methodology that can be used in combination with a non-rigid image registration technique to generate comprehensive quantitative maps of lung ventilation and gas exchange. For these HP MRI-derived regional parameters to produce meaningful information that can be used to characterize lung disorders, a reproducibility study that systematically assesses the variability of these parameters is needed. Here, we assess the reproducibility of our previously reported dynamic hyperpolarized imaging measurements between two sessions separated by minutes. |