Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition - Novel Diffusion and Motion Correction in Body MRI

Novel Diffusion and Motion Correction in Body MRI

Digital Poster

Body

Tuesday, 12 May 2026

Digital Posters Row E

16:55 - 17:50

Session Number: 464-06

No CME/CE Credit

Similar Sessions

This session contains presentations highlighting approaches to motion correction and advanced diffusion weighted imaging in body MRI.

Skill Level: Intermediate

		464-06-001. Generative Adversarial Network for Motion Correction in Free-breathing Abdominal T2-Weighted Fast Spin-echo MRI Yi Li, ZILONG HUANG, HAILIN XIONG, Wing Yat Cheung, Chenglang Yuan, Shihui Chen, Liyuan Liang, Xiaorui Xu, Tianbaige Liu, QITING WU, Mei-Lan Chu, Hsiao‐Wen Chung, Nan-kuei Chen, Qi DOU, Hing-Chiu Chang The Chinese University of Hong Kong, Shatin, Hong Kong Impact: This deep learning-based technique enables more efficient and reliable correction of motion artifacts, enhancing the clinical feasibility of free-breathing abdominal T2-FSE MRI for challenging patient populations.
		464-06-002. Non-contrast Lymphangiography: Systematic evaluation of an optimized 3DTSE in the visualization of Central Lymphatics at 1.5T Monica Gunasingh, Aishwarya Baskaran, Shaik Ummul Khair Bushra, Natesan Chidambaranathan, Rolla Narayana Krishna, Jaladhar Neelavalli Indian Institute of Technology, Hyderabad, India Impact: The optimized non-contrast MR lymphangiography (MRL) protocol enhances visualization of central lymphatics, significantly reduces imaging artifacts, and eliminates patient preparation requirements. Thus, it could help reduce the burden on the patient, streamline diagnostic workflow and facilitate broader adoption of MRL.
		464-06-003. MRI-guided quantification of abdominal organ motion under non-invasive mechanical ventilation (NIMV) for ion-beam therapy Ariadna Cherit Hernández, Stefan Wampl, Martin Paier, Martin Meyerspeer, Michael Parkes, Christian Ramsl, Florian Watzinger, Arjan Bel, Irma van Dijk, Piero Fossati, Martin Krssak, Dietmar Georg, Markus Stock, Albrecht Schmid MedAustron, Ion Beam Therapy Center, Wiener Neustadt, Austria Impact: This MRI-based pilot study evaluates non-invasive mechanical ventilation for respiratory motion compression in ion-beam therapy, demonstrating reduced organ displacement and the potential for smaller margins, improved dose conformity, minimized healthy-tissue exposure, and decreased interplay effects in thoracoabdominal indications
		464-06-004. Breath-Hold Radial-Sampled DCE MRI: Superiority Beyond Cartesian in a 78-Paired Cohort Kazuto Kozaka, Taichi Kitagawa, Saya Igarashi, Fumihito Toshima, Yu Ueda, Azusa Kitao, Norihide Yoneda, Satoshi Kobayashi Kanazawa University, Kanazawa, Japan Impact: By providing reliable arterial-phase images even under imperfect motion, breath-hold radial DCE MRI reduces diagnostic uncertainty and reading time, enabling more confident and consistent abdominal MRI interpretation across both gadoxetic acid and extracellular contrast protocols.
		464-06-006. Disentangling breathing motion from bowel peristalsis on dynamic CINE MRI scans Michael Kitzberger, Zahra Ghasemzadeh, Jordina Aviles Verdera, Jana Hutter Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany Impact: Separating the dynamic MR with the help of recorded breathing information and a low-rank sparse approach into static signal, respiration tracking related signal and residual movement improves quantification of peristaltic motion - a relevant biomarker for chronic bowel diseases.
		464-06-007. Virtual reality patient preparation to reduce respiratory motion and anxiety in Gd-EOB-DTPA liver MRI: a randomized trial Maximilian Thormann, Jana Witjes, Frank Fischbach Charité – Universitätsmedizin, Berlin, Germany Impact: Brief virtual-reality patient preparation was feasible and improved patient satisfaction during Gd-EOB-DTPA liver MRI. While motion and anxiety were unchanged in this largely MRI-experienced cohort, results support targeted use—especially for first-time or anxious patients—and integration with biofeedback or in-bore coaching.
		464-06-008. Optimizing Free-breathing Liver DW-PROPELLER-EPI via Cross-slice Data-sharing Binning (CSDS-binning) and Volume Registration QITING WU, ZILONG HUANG, HAILIN XIONG, Chenglang Yuan, Shihui Chen, Liyuan Liang, Lu Wang, Yi-Jui Liu, Chang-Hsien Liu, Chun-Jung Juan, Hsiao‐Wen Chung, Hing-Chiu Chang The Chinese University of Hong Kong, Shatin, Hong Kong Impact: A more robust free-breathing (FB) liver DW-PROPELLER-EPI can advance routine FB liver diffusion-weighted imaging (DWI) for challenging populations.
		464-06-009. Rapid Liver Diffusion Imaging Using Non-local Block Matching Model Rongli Zhang, Zhifeng Chen, Xiaoyun Liang, Chen Qian, Yu Wang, Shenjun Zhong, CUNJING ZHENG, Mingfeng Jiang, Zhenguo Yuan, Junying Cheng, Zhongbiao Xu The University of Hong Kong, Hong Kong, Hong Kong Impact: This study enables 4-fold accelerated liver diffusion MRI with preserved image quality via a non-local block-matching model reconstruction algorithm, offering a reliable solution for rapid clinical DWI examinations of the liver.
		464-06-010. 3T Breast DWI: SMS rs-EPI Outperforms ZOOMit and ss-EPI in Geometric Fidelity, Susceptibility Robustness, and DCE Concordance Jie Zhao, Hao Xiong, Qun Yu, Wei Chen, Ziqiao Lei Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China Impact: SMS readout-segmented DWI showed faithful lesion geometry and the closest agreement with DCE-defined lesion area, particularly in superficial and posterior chest-wall lesions, while maintaining high diagnostic quality. These findings support sequence strategies that improve confidence in breast DWI interpretation.
		464-06-011. Reduced-FOV Prostate DWI Using Frequency-Swept Pulses Michael Jaroszewicz, Rudy Rizzo, Tejinder Kaur, Nicole Seiberlich, Hero Hussain, Vikas Gulani, Yun Jiang University of Michigan, Ann Arbor, United States of America Impact: This work advances prostate DWI by introducing a reduced-FOV method that minimizes geometric distortion in challenging cases, such as patients with rectal gas or metal implants, enabling more reliable DWI and may support broader clinical use under difficult field conditions.
		464-06-012. Deep learning-based phase correction improves DWI and ADC for bladder imaging Shu Zhang, Xinzeng Wang, Patricia Lan, Ion Codreanu, Ruiyang Zhao, Arnaud Guidon, Diego Martin, Nakul Gupta Houston Methodist Research Institute, Houston, United States of America Impact: We developed a deep learning-based phase correction method for removing wormhole artifacts in DWI, which is a significant limitation of current DWI acquired during physiological motion, and demonstrated a clinical application for markedly improved bladder DWI and ADC.
		464-06-013. Comparison of Deep Learning Enhanced ZOOMit DWI and Conventional Single-Shot EPI DWI for Evaluation of Prostate Lesions at 3T Meihong Zhou, Jiazheng Liu, Ruifen Zhang, Yueluan jiang, Omar Darwish, LINA ZHANG the Fourth Affiliated Hospital of China Medical University, Shenyang, China Impact: The Deep learning–enhanced ZOOMit DWI markedly improved prostate DWI image quality, enhancing signal-to-noise ratio, contrast-to-noise ratio and lesion delineation while minimizing distortion and maintaining efficient scan times.