Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition

Quantitative Imaging Beyond the CNS

Digital Poster

Acquisition & Reconstruction

Tuesday, 12 May 2026

Digital Posters Row H

08:20 - 09:15

Session Number: 467-01

No CME/CE Credit

Similar Sessions

This session covers a variety of topics in quantitative imaging of the spine, MSK, and other areas.

		467-01-001. Multi-Modality Quantitative Fat Phantom for MRI and CT Measurements of Myosteatosis David Rutkowski, Jeff Kammerman, José Guerrero González, Aria Salyapongse, Adam Kuchnia, Timothy Szczykutowicz, Perry Pickhardt, Diego Hernando, Scott Reeder, Jean Brittain Calimetrix, Madison, United States of America Impact: A quantitative multi-modality muscle fat phantom was developed for quality assurance of MRI and CT myosteatosis quantification. Measurements on the phantom closely represented the observed relationship between MRI PDFF and CT number in paraspinal muscle tissue.
		467-01-002. Quantitative MRI with PDFF and Texture Outperforms Volume Measurements to Assess Aging of the Masseter Muscle Daiki Tamada, Amirhossein Roshanshad, Jitka Starekova, Eisuke Takai, Scott Reeder University of Wisconsin - Madison, Madison, United States of America Impact: MRI biomarkers offer a more sensitive measure of muscle aging than volume alone and may enable earlier identification and monitoring of muscular decline.
		467-01-003. Multimodal MRI Biomarkers of Lesion Severity and Functional Outcome in a Rat Model of Cervical Spinal Cord Injury Claudia Schrauwen, Ignace Van Spilbeeck, Joëlle van Rijswijk, Johan Van Audekerke, Annemie Van Eetveldt, Nicolas Halloin, Zoe Laermans, Winnok De Vos, Aleks Jankovski , Charles Nicaise, Marleen Verhoye, Daniele Bertoglio University of Antwerp, Antwerp, Belgium Impact: Quantitative MRI biomarkers, including lesion volume, T₂, and diffusion metrics, provide sensitive, noninvasive measures of spinal cord injury (SCI) severity and progression. These tools can improve preclinical therapy testing, guide clinical trials, and inform strategies to predict functional recovery.
		467-01-004. 7T Spinal Cord T1 mapping : White Matter / Gray Matter MS Lesion Characteristics and Patient-Specific Damage Nilser Laines-Medina, Samira Mchinda, Benoit Testud, Arnaud Le Troter, Lauriane Pini, Bertrand Audoin, Jean Pelletier, Sarah Demortière, Julien Cohen-Adad, Virginie Callot Aix Marseille Univ, Marseille, France Impact: 7T MP2RAGE T1 mapping with Z-score analysis detects microstructural alterations in lesions and normal-appearing SC tissue, delivering quantitative and individualized framework to grade impairment and track progression in pwMS.
		467-01-005. High resolution 3D MR fingerprinting for the characterization of respiratory muscles in free breathing conditions Constantin Slioussarenko, Thomas Le Tat, Pierre-Yves Baudin, Marc Lapert, Benjamin Marty NMR Laboratory, Institute of Myology, Neuromuscular Investigation Center, Paris, France Impact: This work presents high-resolution MR Fingerprinting for free-breathing evaluation of respiratory muscles, addressing a key challenge in neuromuscular disorders where respiratory weakness drives morbidity. It paves the way for quantitative biomarkers enabling earlier detection, monitoring, and treatment evaluation.
		467-01-006. In vivo T1 mapping of soft and hard tissues at 90 mT Jose Borreguero, Luiz Guilherme Santos, Lorena Vega Cid, Elisa Castañón, Marina Fernández-García, Pablo Benlloch, Rubén Bosch, Jesús Conejero, Pablo García-Cristóbal, Teresa Guallart Naval, Eduardo Pallás, Laia Porcar, Lucas Swistunow, José Algarín, Fernando Galve, Joseba Alonso Institute for Molecular Imaging and Instrumentation (i3M), Consejo Superior de Investigaciones Científicas & Universitat Politècnica de València, Valencia, Spain Impact: This work extends the possibilities for quantitative MRI of Halbach-based devices to include hard-tissue $T_1$ mapping, which was thus far never reported in vivo at low field strengths (< 0.1 T).
		467-01-007. Distortion-corrected thoracic diffusion-weighted MRI to enable treatment response monitoring in malignant mesothelioma Sam Keaveney, Georgina Hopkinson, Antonio Candito, Matthew Blackledge, Cara Owens, Anna Minchom, Nina Tunariu, Jessica Winfield The Royal Marsden Hospital NHS Foundation Trust, London, United Kingdom Impact: This work establishes a robust acquisition and processing pipeline for correcting EPI distortion in thoracic DWI. This approach enables quantitative analysis for mesothelioma treatment monitoring and has potential to replace inadequate size-based CT criteria with a more sensitive MRI-derived biomarker.
		467-01-008. Patient-specific multi-phase liver DCE-MRI with automated contrast enhancement tracking via AM-FM demodulation Victor Murray, Richard Do, Ricardo Otazo Memorial Sloan Kettering Cancer Center, New York, United States of America Impact: The proposed patient-specific DCE-MRI method can obtain early, mid, and late arterial phases with 5-second temporal resolution synchronized with the true arterial enhancement peak to enable improved visualization of small hypervascular lesions.
		467-01-009. Error Bound Analysis of Physics-Informed Neural Networks-Driven T2 Quantification in Cardiac Magnetic Resonance Imaging Mengxue Zhang, Qingrui Cai, Yinyin Chen, Hang Jin, Jianjun Zhou, Qiu Guo, Peijun Zhao, Xingxing Zhang, Yuyu Xia, xianwang jiang, Qin Xu, Chunyan Xiong, Yirong Zhou, Tianyu Qiu, Chengyan Wang, Xiaobo Qu Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xiamen, China Impact: The proposed theory offers theoretical insight into assessing and estimating the error with respect to the real quantitative parameter $T_{2}$ in quantitative MRI (qMRI), even in the absence of ground truth or clinical gold standards, enhancing model reliability and interpretability.
		467-01-010. Lung MRI T2 Mapping for Quantifying Interstitial Lung Disease: Feasibility and Lesion-Specific Comparison Among 3 Sequences Yajun Ding, Hang Chen, Qiuxi Lin, Ziyang Xia, Xilai Chen, Ran Lin, Weiyin Vivian Liu, Qun Luo, Yu Deng the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China Impact: This study demonstrates the feasibility of lung MRI T2 mapping as a radiation-free tool for quantifying ILD lesions, indicating pathological components related to water content, and enabling follow-up monitoring and therapeutic response assessment.
		467-01-011. Cardiac Tissue-Function Characteristics in Obesity and Remodeling Effect Post-Bariatric Surgery by Cardiac Magnetic Resonance Qingtong Zheng, Yang Wu, Dan Wang, Xiao Zhou, Yingqianxi Xu, Yongzhou Xu, Yunyu Gao, Kai Liu Affiliated Hospital of Xuzhou Medical University, Xuzhou, China Impact: This study highlights that bariatric surgery reverses obesity-induced myocardial alterations, with synchronized improvements in tissue composition and function, providing new insights into the mechanisms of cardiac remodeling after metabolic recovery.
		467-01-012. Data-Driven Beat-to-Beat Magnetization Recovery Correction in Multi-Shot Free-Breathing 3D Myocardial T2 Mapping at 1.5 T Oluyemi Aboyewa, KyungPyo Hong, Lexiaozi Fan, Li Feng, Daniel Kim Northwestern University Feinberg School of Medicine, Chicago, United States of America Impact: Our method improves the accuracy of voxel-wise whole-heart T2 mapping from a multi-shot free-breathing 3D T2-mapping technique and may be useful to quantitatively distinguish healthy myocardium from edema even in the presence of heart rate variability during data acquisition
		467-01-013. Fast and Accurate Parametric Map Computation for Radial MRF of Articular Cartilage Using Deep Learning Vahid Ghodrati, Victor Casula, Marin Margueritat--Chauve, Timo Liimatainen, Miika T Nieminen University of Oulu, Oulu, Finland Impact: Fast and accurate deep learning-based estimation of tissue quantitative MRI parameters from compressed radial-MRF signal evolutions may replace the time-consuming traditional dictionary matching process and provide advantages over existing learning-based methods in that require full signal evolution inputs.
		467-01-014. Multinuclear fingerprinting (MNF) in knee cartilage at 7 T with matched 1H and 23Na resolution Anne Adlung, Dimitri Martel, Baptiste Busi, Gonzalo Rodriguez, Thorsten Kirsch, Smita Rao, Amparo Ruiz, Guillaume Madelin Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York, United States of America Impact: Multinuclear fingerprinting (MNF) combines simultaneous ¹H/²³Na MRF acquisition with a super-resolution algorithm to increase the resolution of ²³Na MRF data in knee cartilage. MNF can be used to study early signs of osteoarthritis in the knee joint.
		467-01-015. Liver T1rho mapping with 2D Golden-Angle Radial GRE: reducing T1 contamination using temporal k-space weighting (KWIC) Milena Capiglioni, Joseph Woods, Matteo Tagliabue, Adrian Huber, Verena Obmann, Naik Vietti-Violi, Ruud van Heeswijk, Gabriele Bonanno, Jessica Bastiaansen University of Bern, Bern, Switzerland Impact: This work demonstrates the feasibility of 2D golden-angle radial T₁ρ liver imaging within a single breath-hold. Optimized reconstruction and spin-lock preparation mitigate radial T₁ contamination, supporting robust in-vivo T₁ρ quantification for future clinical assessment of liver microstructure and fibrosis.