Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition - Applications of Quantitative MRI in the Body

Applications of Quantitative MRI in the Body

Oral

Body

Wednesday, 13 May 2026

Hall 1A

16:00 - 17:50

Moderators: KyungHyun Sung & Mingming Wu

Session Number: 501-04

No CME/CE Credit

Similar Sessions

This oral session includes presentations that utilize quantitative imaging and related biomarkers in body applications.

Skill Level: Intermediate

16:00		501-04-001. Non-invasive Evaluation of Renal Transplant Rejection Using Multi-parametric Magnetic Resonance Imaging Jiali Ma, Peng Wu, Junjie Yang, Chenqin Que, Mo Zhu The First Affiliated Hospital of Soochow University, Suzhou, China Impact: This non-invasive MRI approach could reduce reliance on repeated biopsies, guide personalized treatment for rejection subtypes, and enable longitudinal monitoring of transplant kidney health.
16:11		501-04-002. Reproducibility of renal PCASL sequences at 3.0 T: preliminary results from a multicenter and multivendor study Rebeca Echeverria-Chasco, Leyre Garcia-Ruiz, Malene Aastrup, Verónica Aramendía-Vidaurreta, Michela Bozzetto, Paolo Brambilla, Esben Hansen, Jose Maria Mora-Gutierrez, Siria Pasini, Anish Raj, Steffen Ringgaard, Anika Strittmatter, Manuel Taso, Ioana Urdea, Tau Vendelboe, Marta Vidorreta, GIULIA VILLA, Niels Buus, Nuria Garcia-Fernandez, Matias Trillini, David Alsop, Susan Francis, Christoffer Laustsen, Frank Zoellner, Anna Caroli, Maria Fernandez-Seara Clinica Universidad de Navarra, Pamplona, Spain Impact: Harmonized PCASL sequences across centers and vendors show promising multicenter and multivendor results for measuring cortical perfusion in the kidneys.
16:22		501-04-003. Self-Navigated 3D radial joint T1-T2-FF mapping for isotropic resolution liver MRI at 0.55T in 4-min scan time Nicolas Garrido, Carlos Castillo-Passi, Andrew Phair, Claudia Prieto, Rene Botnar King's College London, London, United Kingdom Impact: An efficient free-breathing free-running, 4-minute 3D joint T1-T2-fat fraction mapping sequence of the liver at 0.55T provides an affordable, efficient and comprehensive approach to assess liver disease; exploiting radial trajectory, motion corrected undersampled reconstruction and dictionary matching.
16:33		501-04-004. Evaluating Multi-Echo QALAS MRI for Quantitative MRI on Human Liver Ronald Ouwerkerk, Nader Metwalli, Deneshree Padayachee, Khaled Abd-Elmoniem, Jonathan Dillman, Ahmed Gharib National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, United States of America Impact: Multi-echo 3D-QALAS has the potential to reduce scan time for MRI liver exams by yielding T₁, T₂, T₂*, and fat fraction estimates in a single breath-hold, but the quality of these parameter maps must be tested against existing methods.
16:44		501-04-005. Kidney T1/T2/T2/T1ρ/PDFF Mapping with OpenMRF: Initial Results and Adiabatic vs. Continuous Wave Spin Locking Tom Griesler, Evan Cummings, Sydney Kaplan, Maximilian Gram, Jesse Hamilton, Matthew Davenport, Vikas Gulani, Hero Hussain, Nicole Seiberlich, Gastao Cruz University of Michigan, Ann Arbor, United States of America Impact:* OpenMRF simplifies prototyping and implementation of advanced MRF sequences for multiparametric kidney imaging, potentially accelerating innovation in quantitative MRI, including the exploration of novel contrast mechanisms such as T1ρ. Adiabatic T1ρ mapping can be integrated with single breath-hold MRF acquisitions.
16:55		501-04-006. Accuracy, Repeatability, and Reproducibility of Free-Breathing Liver Fat Quantification at 0.55 T, 1.5 T, and 3 T Shu-Fu Shih, Fei Han, Brian Toner, Xiaodong Zhong, Maria Altbach, Ali Bilgin, Vibhas Deshpande, Waqas Majeed, David Lu, Holden Wu David Geffen School of Medicine, University of California Los Angeles, Los Angeles, United States of America Impact: Free-breathing 3D stack-of-radial MRI achieved accurate, repeatable, and reproducible liver fat quantification across 0.55T, 1.5T, and 3T compared to conventional breath-holding MRI. These results support further evaluation and translation of free-breathing liver fat quantification at 0.55T to improve patient care.
17:06		501-04-007. Multi-Center Conformance Testing of New Chemical Shift Encoded MRI Methods for Hepatic PDFF in Phantom and In Vivo Julius Heidenreich, Nikolaos Panagiotopoulos, Daiki Tamada, Raphael do Vale Souza, Alexandra Anagnostopoulos, David Harris, Jake Weeks, Lael Ceriani, Gavin Hamilton, Sami Khoury, Piper Mahn, Jacqueline Diep, Sophia Koehler, Michael Olson, Venkata Meduri, Sudhakar Venkatesh, Claude Sirlin, Jean Brittain, Diego Hernando, Nancy Obuchowski, Takeshi Yokoo, Scott Reeder University of Wisconsin - Madison, Madison, United States of America Impact: CSE-MRI enables highly reproducible and standardized PDFF quantification across sites and field strengths. Minor deviations in linearity and bias were statistically significant but clinically negligible, underscoring the robustness of current implementations for multi-center quantitative imaging and biomarker standardization.
17:17		501-04-008. Adiposity and Metabolic Syndrome Assessment in 20,200 patients Using WB-MRI Derived Body Composition Metrics Saqib Basar, Daniel Daly-Grafstein, Kun Shuang, Ahmed Gouda, Javad Khaghani, Siavash Khallaghi, Yuntong Ma, Sam Hashemi Prenuvo, Inc, San Francisco, United States of America Impact: AI-derived visceral fat quantification from whole-body MRI enables opportunistic identification of metabolic syndrome risk beyond BMI. This allows proactive patient stratification for targeted preventive interventions, even when imaging is performed for unrelated clinical indications.
17:28		501-04-009. The Role of Water-Specific T1 Mapping in Reflecting Hepatic Tissue Composition: Comparison with MRE, PDFF, and R2* Jingjia Chen, Mahesh Keerthivasan, Ute Goerke, Justin Quimbo, Meng Yin, Krishna Shanbhogue, Hersh Chandarana, Li Feng New York University Grossman School of Medicine, New York, United States of America Impact: Water-specific T1 mapping, removing fat-related bias, aligns with liver MRE stiffness and becomes fibrosis-dominant, especially in the advanced stage, while remaining sensitive to fat and iron in milder stages, offering a complementary biomarker for chronic liver disease.
17:39		501-04-010. Guided Discussion Mingming Wu LMU University Hospital, LMU Munich, Munich, Germany