Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition - Diffusion MRI, Iron Quantification, and Steatosis in Human and Preclinical Studies

Diffusion MRI, Iron Quantification, and Steatosis in Human and Preclinical Studies

Digital Poster

Body

Thursday, 14 May 2026

Digital Posters Row D

08:30 - 09:25

Session Number: 663-01

No CME/CE Credit

Similar Sessions

Recognize clinical and preclinical applications of various MRI techniques in the evaluation of fibrosis, iron deposition, and steatosis.

		663-01-001. Frequency-dependent sensitivity of DWI markers in metabolic-dysfunction associated steatotic liver disease and steatohepatiti Omaima Said, Sabrina Doblas, Emilie Khalfallah, Nora Ouffroukh, Stéphanie Depinay, Corinne Picalausa, Isabelle Leclercq, Dominique valla, Valérie Paradis, Bernard Van Beers, Philippe Garteiser Center for Research on Inflammation, Inserm / Université Paris Cité U1149, Paris, France Impact: OGSE DWI may provide more specific non-invasive biomarkers for the assessment and monitoring of MASLD than PGSE DWI.
		663-01-002. Towards high resolution liver and kidney diffusion weighted imaging with RESOLVE and second order motion compensation. Yishi Wang, Wenzhang Liu, Jing An, Dehe Weng, Qing Li, Tianyi Qian MR Research Collaboration Team, Siemens Healthineers Ltd., Beijing, China Impact: Our data showed the feasibility of high resolution liver and kidney DWI using RESOLVE and high order motion compensation
		663-01-003. Motion-robust DWI acquisitions for patients with liver metastases Andrea Houck, Gregory Simchick, Julius Heidenreich, Aidan Tollefson, Srijyotsna Volety, Fatemeh Rashidi, Amirhossein Roshanshad, Patricia Lan, Nataliya Uboha, Ali Pirasteh, Diego Hernando University of Wisconsin - Madison, Madison, United States of America Impact: First-order motion moment optimized diffusion imaging (MODI) combined with multi-shot EPI readout improved image quality in terms of lesion conspicuity and artifacts compared to the current clinical standard. Improved lesion detection and fewer artifacts may improve patient diagnosis and care.
		663-01-004. Evaluating 2D Flip Angle Modulated (FAM) MRI for Liver Proton Density Fat Fraction (PDFF) in Children and Young Adults Mishka Hoo Kim, Tina Black, Jonathan Dillman, Diego Hernando, Justine Kemp, Mary Kate Manhard, Yavuz Muslu, Amol Pednekar, Nathan Roberts, Jean Tkach, Cara Morin Cincinnati Children's Hospital Medical Center, Cincinnati, United States of America Impact: Free-breathing, motion-insensitive 2D-FAM MRI enables reliable PDFF quantification in children unable to perform breath-holds, reducing variability and improving workflow efficiency.
		663-01-005. Comparison of Breath-Hold and Free-Breathing Liver MR Elastography at 0.55 T Ankush Bajaj, Yang Yang, Cheng Hong, Kay Pepin, Kang Wang, Waqas Majeed, Pan Su, Stephan Kannengiesser, Jeremy Heilman, Richard Ehman, Michael Ohliger University of California San Francisco, San Francisco, United States of America Impact: FB MRE at 0.55T yielded comparable stiffness assessment relative to BH in patients with limited breath-holding capacity, improving accessibility of hepatic MRE to this population.
		663-01-006. Quantitative Evaluation of Mouse Liver Perfusion Using Proton MRI with Deuterium Oxide–Containing Perfusate Hitoshi Kubo, Haru Wakutsu, Urara Hirano, Hayato Aoyama, Kou Kumagai, Takashi Iwanaga Fukushima Medical University, Fukushima, Japan Impact: This study introduces a novel proton MRI–based method using D₂O-containing perfusate to quantitatively evaluate organ perfusion, providing a non-invasive and clinically adaptable approach for assessing the quality and viability of preserved organs in transplantation.
		663-01-007. 3.0T MOLLI-based T1 Mapping Without Iron Correction for Assessment of Hepatic Inflammation and Fibrosis in MASLD Yujin Chu, HAIYU HUANG, Zhiwei Qin, Songhua Zhan, Wenli Tan, Jie Yuan Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China Impact: This study could simplify clinical MRI protocols for MASLD by removing R2* sequences, reducing scan time, costs, and workflow complexity while maintaining diagnostic accuracy for liver inflammation and fibrosis, making T1 mapping more accessible in routine practice.
		663-01-008. Optimizing Liver Iron Quantification: Bayesian Ferritin Stratification for Detection of Significant Liver Iron Overload Felix Schön, Diego Hernando, Moniba Nazeef, Scott Reeder, Takeshi Yokoo University of Wisconsin - Madison, Madison, United States of America Impact: Serum ferritin threshold-based decision making for quantitative MRI liver iron quantification may enable more accurate patient stratification, optimize MRI resource use, and reduce unnecessary imaging while preserving diagnostic accuracy for detection of clinically significant liver iron overload.
		663-01-009. Flip-Angle Modulated 3D Chemical-Shift-Encoded MRI for T1-Independent, High-SNR PDFF Mapping Jiayi Tang, Daiki Tamada, Jon-Fredrik Nielsen, Maxim Zaitsev, Scott Reeder, Diego Hernando University of Wisconsin - Madison, Madison, United States of America Impact: 3D chemical-shift-encoded (CSE) MRI is a widely available method for quantifying proton-density fat-fraction (PDFF), a well-validated MR-based biomarker for noninvasive evaluation of steatotic liver disease. The proposed flip-angle modulation method may improve both the quantitative accuracy and SNR of 3D-CSE-MRI.
		663-01-010. Impact of Different Echo Sampling Strategies in 3.0T UTE Sequences on the Accuracy of Hepatic Iron Quantification Fei Peng, Chaotian Luo, wei cui, Peng Peng, Cheng Tang, Michael Carl The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China Impact: A 3-echo UTE protocol at 3 T maintains accuracy for hepatic iron assessment with reduced scan time. This optimization facilitates rapid, clinically feasible liver iron quantification and broadens UTE application in routine practice.
		663-01-011. Repeatability of Time-Dependent Diffusion MRI for Quantitative Assessment of Hepatic Microstructure CUNJING ZHENG, Jinhuan Song, Yinji Piao, Xuhao Zhu, Jun Peng, Rongli Zhang, Ming Huang, zhongbiao xu Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University,, Guangzhou, China Impact: OGSE-based t_d-dMRI enables repeatability, noninvasive quantification of hepatic microstructure, establishing foundational reference metrics in healthy liver. This repeatability supports its clinical translation as a quantitative imaging biomarker for assessing microstructural alterations in metabolic and oncologic liver diseases.
		663-01-012. A comparison on ADC uniformity between 3 techniques to compensate for signal loss due to cardiac pulsation in liver DWI Johannes Peeters, Masami Yoneyama, Dimitrios Karampinos, Sean McTavish, Johannes Raspe, Anh Van, Kilian Weiss, Clemens Bos, Jip Prince University Medical Center Utrecht, Utrecht, Netherlands Impact: We compared three techniques to reduce signal loss in the left liver lobe in diffusion scans: weighted averaging, velocity-motion compensated diffusion encoding and cardiac triggering. The last had the best uniformity score for both diffusion weighted signal and ADC.
		663-01-013. A Study on Multi-parametric MRI Imaging for Predicting Prognosis in Patients with Advanced Chronic Liver Disease Xinya Gao, Dandan Chen, Xueqin Zhang, Xiance Zhao, Sicong Huang Nantong University, Nantong, China Impact: Early non-invasive identification and risk stratification of high-risk patients with hepatic decompensation or death in Advanced Chronic Liver Disease (ACLD) are of great significance for identifying patients with poor prognosis, stabilizing disease progression, and reducing patient mortality.
		663-01-014. Deep learning-based MRI-derived tumor burden predicts early recurrence in intrahepatic cholangiocarcinoma: A novel prognostic Xi Jia, Caixia Fu, Robert Grimm, Heinrich von Busch, Bram Stieltjes, Moon Hyung Choi, Guillaume Chabin, Mengsu Zeng Zhongshan Hospital, Shanghai, China Impact: Tumor burden automatically quantified from MRI using a deep learning-based segmentation tool may provide a non-invasive imaging biomarker for predicting early recurrence in intrahepatic cholangiocarcinoma, thereby facilitating more tailored postoperative management with or without adjuvant therapy.