ISMRM25 - Advancing Quantitative Imaging for a Comprehensive Body Evaluation

ISMRM & ISMRT Annual Meeting & Exhibition • 10-15 May 2025 • Honolulu, Hawai'i

Advancing Quantitative Imaging for a Comprehensive Body Evaluation

Digital Poster

Acquisition & Reconstruction

Monday, 12 May 2025

Exhibition Hall

13:45 - 14:45

Session Number: D-03

No CME/CE Credit

		Computer Number: 17 1674. Quantification of fatty acid composition at 5.0T View Presentation Video C. Cheng, L. Ma, H. Zheng, X. Liu, C. Zou Shenzhen institutes of advanced technology, Chinese Academy of Sciences, Shenzhen, China Impact: This study demonstrates the accuracy and feasibility of in vivo FAC quantification using a 5.0T MR system, which promotes the further research on FAC in diverse tissues at various physio-pathological states using ultra-high field strength.
		Computer Number: 18 1675. Ultra-Short Echo Phase-Based R2 Mapping for Liver Iron Overload View Presentation Video D. Tamada, S. Reeder University of Wisconsin-Madison, Madison, United States Impact: UTE-PB R2 mapping enhances the quantification of severe iron overload with improved SNR and dynamic range, potentially improving the diagnosis of patients with iron overload. Further research is needed to optimize and validate PB R2 mapping for high R2 conditions.
		Computer Number: 19 1676. Diffusion MRI of the liver with Optimized Slice-specific, Liver-specific Shimming View Presentation Video A. Tollefson, G. Fullerton, P. Lan, A. Guidon, G. Wu, A. Pirasteh, D. Hernando University of Wisconsin-Madison, Madison, United States Impact: DWI of the abdomen with reliable fat suppression is demonstrated in challenging slices by optimizing for liver regions when using a slice-specific shimming approach. This combined method may enable improved detection and staging of cancer in the abdomen.
		Computer Number: 20 1677. Quantitative microstructural mapping based on time-dependent diffusion MRI for predicting CEA levels in rectal cancer Y. Li, X. Chen, X. Dong, S. Yi, M. Chen, P. Zhou Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China Impact: Microstructural parameters based on td-dMRI have the potential to reflect elevated CEA levels, thereby serving as predictors of the proliferative and metastatic capabilities of rectal cancer.
		Computer Number: 21 1678. Establishing a Quantitative MRI-Guided Adaptive Radiotherapy Program in Radiation Oncology View Presentation Video J. Deng, Y. Dai, Y-p Liao, J. Wu, C. Kabat, J. De Vis, W. Lu, Y. Yan, B. Cai, M-H Lin, A. Godley University of Texas Southwestern Medical Center, Dallas, United States Impact: Our project accelerates the integration of qMRI-based biomarkers into clinical workflows involving MRI simulation and MR-LINAC treatment, establishing a framework for MR-guided Biology ART in clinical settings to achieve personalized radiotherapy.
		Computer Number: 22 1679. Comparison of Breath-Hold and Free-Breathing Techniques for Fat Fraction and R2* Quantification in the Liver View Presentation Video E. Stamou, J. Venkatesh, A. Mitchell, M. Reid, A. Amin, A. Jones, P. Bridgen, R. Neji, C. Williamson Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom Impact: This study demonstrates that both BH and FB techniques effectively quantify liver fat and iron, with FB offering higher SNR and reduced motion artefacts. However, variability in R₂* values highlights the need for improved segmentation and protocol refinement.
		Computer Number: 23 1680. Enhanced standardization of clinical T2-weighted prostate images: e-CAMP with T2 prior View Presentation Video H. Zhang, H. Tagare, G. Galiana Yale University, New Haven, United States Impact: Sensitivity of machine learning to scanner- and/or protocol- variability can be reduced by estimating T₂ maps from T₂w. Here we present the feasibility of this approach for prostate imaging, where machine learning has shown great promise.
		Computer Number: 24 1681. Accelerated quantification of muscular tissue sodium concentrations at 7 Tesla View Presentation Video M. Höhn, T. Wilferth, L. Gast, T. Gerhalter, M. Uder, A. Nagel University Hospital Erlangen, Erlangen, Germany Impact: Quantification of aTSC in the calf at reduced resolutions is possible, which significantly shortens the measurement time for clinical studies. However, when using this method, small but significant deviations in the aTSC values are to be expected.
		Computer Number: 25 1682. Multiple Parameters from Ultrafast Dynamic Contrast-enhanced MRI to Differentiate HER2-Zero, -Low, and -Positive Breast Cancer Y. Cao, X. Wang, Y. Huang, H. Chen, T. Yin, J. Zhang Chongqing University, Chongqing, China Impact: This research demonstrates that UF-DCE MRI could provide a non-invasive method for distinguishing HER2 expression levels in BC, aiding in selecting appropriate therapies. It has the potential to improve personalized treatment approaches and influence future clinical practice in HER2-targeted therapies.
		Computer Number: 26 1683. Evaluating Breast Lesions with Ultrafast DCE-MRI: The Impact of Temporal Resolution on Pharmacokinetics T. Xie, Y. Huang, C. Fu, R. Grimm, M. D. Nickel, Q. Xiao, R. Li, W. Peng, Y. Gu Fudan University Shanghai Cancer Center, Shanghai, China Impact: This study advances breast cancer diagnosis by validating the impact of temporal resolution on pharmacokinetic parameters, promoting broader adaptations to enhance accuracy in quantitative pharmacokinetic assessment for cancer diagnosis and prognosis across institutions and imaging modalities.
		Computer Number: 27 1684. Quantification Assessment of fatty acid composition in Brown and White Adipose Tissue of Healthy Individuals View Presentation Video M. Huo, D. Nickel, H. Qin Department of Radiology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China Impact: The bipolar multi-echo MRI technique effectively differentiates brown from white adipose tissue in thermoneutral environments, advancing our understanding of human brown adipose tissue biology and aiding future medical applications.
		Computer Number: 28 1685. Simultaneous Liver Water T1 and Fat Fraction Mapping using Chemical-Shift Encoded Modified Look-Locker Inversion Recovery Imaging View Presentation Video J. Greer, P. Debnath, M. K. Manhard, A. Trout, J. Dillman, A. Pednekar Philips, Cincinnati, United States Impact: This study introduces a single breath-hold CSE MOLLI technique that simultaneously estimates water-specific T₁ and fat fraction in the liver, showing strong correlations with established methods. This approach aids in differentiating the impacts of water and fat on liver health.
		Computer Number: 29 1686. An Optimized Dual-targeted Anti-angiogenic Therapy Strategy with Regorafenib and Imatinib for Colorectal Cancer by Multi-parametric MRI L. Zhang, W. Mai, D. Zhang, C. Shi the First Affiliated Hospital of Jinan University, Guangzhou , China Impact: This study demonstrates that alternating regorafenib and imatinib therapy enhances tumor response, prolongs antitumor effects, and overcomes treatment resistance, improving survival outcomes in CRC.
		Computer Number: 30 1687. DeepGrasp-T2 Mapping: Accelerated T2 Mapping Combining Radial Acquisition, Self-Supervised Deep Learning Reconstruction, and EMC Modeling View Presentation Video H. Pei, M. Keerthivasan, J. Quimbo, Y. Huang, F. Han, I. Khodarahmi, A. Tong, H. Chandarana, L. Feng New York University Grossman School of Medicine, New York, United States Impact: This work proposed DeepGrasp-T2, a self-supervised learning based approach that allows for rapid and accurate T2 mapping without requiring reference images for network training, offerring potential for different clinical applications such as prostate T2 mapping.
		Computer Number: 31 1688. Optimization of 3D MR Fingerprinting with Cramér-Rao Lower Bound and Smooth Signal Evolutions for Efficient T1, T2, and T1ρ in the knee joint View Presentation Video M. Zibetti, H. De Moura, A. Monga, R. Regatte NYU Langone Health, New York, United States Impact: This optimized 3D-MRF sequence can improve quantitative mapping in the knee joint, with more quantitative accuracy, due to CRLB optimization, and reduced undersampling artifacts, due to smooth signal evolutions.
		Computer Number: 32 1689. Fat-water separation in low SNR MRI using Graph Cut and mixed magnitude-complex re-fitting with Tukey's Bi-weighting View Presentation Video G. M, D. Kandasamy, R. Sharma, D. Shalimar, S. Anshal, R. Dasgupta, A. Mehndiratta Indian Institute of Technology - Delhi, New Delhi, India Impact: The Proton-Density-Fat-Fraction maps obtained from fat-water separation with ME-MR could be of diagnostic and prognostic value in many diseases. This study proposes a novel method for handling fat-water separation in noise-prone single-shot ME-MR with large echo-spacing.

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