Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition - Body MR: Potpourri of Techniques in Uterine, Cervical, Liver, and Kidney Imaging

Body MR: Potpourri of Techniques in Uterine, Cervical, Liver, and Kidney Imaging

Digital Poster

Body

Monday, 11 May 2026

Digital Posters Row F

14:45 - 15:40

Session Number: 365-04

No CME/CE Credit

Similar Sessions

This session contains a collection of presentations focusing on body MRI in the uterus, cervix, liver, and kidney, including data acquisition and post-processing.

Skill Level: Intermediate

		365-04-001. Uterine Cavity Distortion as the Significant Risk Factor for Anemia in Uterine Leiomyomas Xiaoyi Liu, Ke Wang, Xinyi Gou, jianxiu lian, Nan Hong, Jianliu Wang, Rong Zhou, Jin Cheng Peking University People's Hospital, Beijing, China Impact: This study identified fibroid-induced uterine cavity compression as the independent predictor of anemia and suggested that fibroid-related mechanical distortion of the uterine cavity may contribute to menorrhagia and anemia, providing morphological insight into symptom development.
		365-04-002. The uterus is a 3D organ: Enhancing Uterine Visualization with Slice-to-Volume Reconstruction at 0.55 T Jordina Aviles Verdera, Smiti Tripathy, Maria Bustos-Vivas, Deepak Bhatia, Nyvenn da Mota Alves de Castro , Alena Uus, Michael Uder, Jana Hutter Uniklinikum Erlangen, Erlangen, Germany Impact: This pilot demonstrates the feasibility of uterine slice-to-volume reconstruction at 0.55T for isotropic 3D imaging from 2D T2-weighted stacks. Improved visualization and quantitative assessment of uterine layers may enhance diagnostic reliability and support consistent evaluation of adenomyosis and related conditions.
		365-04-003. Interpretable machine learning model for differentiating US from ALM based on conventional MRI features and radiomics Zhong Yang, Chao Wei, Mengxiao Liu The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China Impact: Interpretable ML models integrating MRI biomarkers and radiomics provides clinically actionable tool for preoperative differentiation of US and ALM. This framework bridges the "black-box" gap in ML through SHAP, empowering clinicians to formulate precise interventions, such as appropriate surgical planning.
		365-04-004. Towards fast uterine MRI to assess anatomy and peristalsis: a 0.55T study Nyvenn da Mota Alves de Castro , Smiti Tripathy, Maria Bustos-Vivas, David Leitão, Jordina Aviles Verdera, Jana Hutter Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany Impact: Spiral MRI at 0.55T enables robust static and dynamic uterine imaging with improved motion resilience and reduced distortions compared to Cartesian and EPI acquisitions, offering a promising tool for assessing uterine peristalsis and thus advancing functional gynecological MRI applications.
		365-04-005. Evaluation of Conventional MRI Sequences for Diagnosing Intrauterine Adhesions Tianzhu Liu, Zhixuan Song, Xiaodan Li, Jiahui Tang, Wanchun Zhang, Lesheng Huang Guangdong Provincial Hospital of Traditional Chinese Medicine, Zhuhai, China Impact: This work establishes evidence for MRI-based evaluation of intrauterine adhesions, enabling standardized diagnostic criteria and encouraging the integration of advanced imaging analytics and AI models to refine noninvasive assessment and enhance reproductive healthcare outcomes.
		365-04-006. Diving deep into uterine layers - quantitative uterine diffusion MRI at 0.55T Smiti Tripathy, Milauni Desai, Lieselotte Kratzsch, Vignesh Pai, Stefanie Burghaus, Matthias Beckmann, Michael Uder, Matthias May, Jana Hutter Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany Impact: Uterine diffusion MRI at 0.55T enabled robust, noninvasive characterization of uterine microstructure. Distinct ADC and IVIM signatures across layers and subject groups reveal physiological, hormonal, and pathological alterations, supporting improved diagnosis and monitoring of uterine disorders.
		365-04-007. Dynamic-Causal ViT: Dynamic and Explainable Evaluation of Chemoradiotherapy Response in Cervical Cancer Using Multi-Temporal Hanxue Gao, Jie Li, Qinghe Han The Second Hospital of Jilin University, Jilin, China Impact: Dynamic-Causal ViT enables early, interpretable prediction of chemoradiotherapy response in cervical cancer. By visualizing evolving MRI biomarkers, it supports individualized treatment adjustment and opens new directions for dynamic, explainable AI in oncologic imaging.
		365-04-008. Evaluation of the relationship between velocity-encoding direction and liver perfusion quantification in VSASL Mareike Buck, Katalin Mueller, Jörn Huber, Klaus Eickel, Matthias Günther, Daniel Christopher Hoinkiss Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany Impact: Our findings indicate VSASL hepatic perfusion estimates are broadly robust to venc direction, but z-direction acquisitions show motion-related bias in the upper liver. Selecting non-z venc directions and implementing cardiac gating may improve accuracy and reliability for perfusion quantification.
		365-04-009. Deep Learning Analysis of Breast Diffusion MRI for Cancer Assessment Using Biophysically Informed Signal Representations Mami Iima, Ryosuke Mizuno, Denis LE BIHAN, Kaito Nonoyama, Rintaro Ito, Keiho Imanishi, Hiroko Satake, Yusuke Jo, Ryota Hyodo, MASAKO KATAOKA, Aki Mano, Shinji Naganawa Nagoya University Graduate School of Medicine, Nagoya, Japan Impact: DKI and non-Gaussian parametric maps (sADC, ADC₀, K) may improve CNN diagnostic performance for breast lesion classification, demonstrating the effectiveness of a hybrid AI+model based approach over a simple multi-b-value raw signal AI approach.
		365-04-010. Optimization of Acquisition Parameters in Sonic DL–Accelerated LAVA-FLEX: Effects of Slice Partial Fourier and Z-Resolution Junya Tsuzaki, Manabu Arai, Tetsushi Habe, Shotaro Fuchibe, Ty Cashen, Xucheng Zhu, Manabu Hase, Sari Motomatsu, Yoshinobu Nunokawa, Yoshitake Yamada, Masahiro Jinzaki Keio University School of Medicine, Tokyo, Japan Impact: Sonic DL-accelerated LAVA-FLEX improves SNR and image quality compared with non-DLR LAVA-FLEX. Combining Sonic DL with slice partial Fourier and Z-resolution provides an optimal balance among scan efficiency—achieving faster acquisition without compromising quality—highlighting its potential for routine abdominal MRI applications.
		365-04-011. Clinical Value of Multiparametric Quantitative Contrast Imaging (MTP) in Differentiating Benign and Malignant Prostate Nodule Caihong Wang, Zimu Li, Liqiang Zhou, SHAOXIN xiang Impact: MTP provides objective quantitative data for accurate differentiation of benign and malignant prostate nodules. Its combination with PI-RADS V2.1 significantly enhances diagnostic efficacy, supporting its role as a valuable tool for prostate imaging in clinical practice.
		365-04-012. Imaging Classification, Pathological Features and Prognostic Analysis of Hepatocellular Carcinoma with Hepatobiliary Phase Hy Xing Fei Nantong Haimen People’s Hospital, nantong, China Impact: HBP hyperintensity on Gd-EOB-DTPA MRI identifies a less aggressive HCC subtype with favorable pathology and prognosis, serving as a valuable imaging biomarker for recurrence prediction and individualized postoperative management.
		365-04-013. Diagnostic Value of APT Imaging and Multiparametric MRI in Differentiating Benign and Malignant Breast Lesions Zhihuan Li, Yunping Xiao, Ying Qin, Shanchen Feng, Zhuo Tang, Jun Peng, Huihui Luo Liuzhou People’s Hospital Affiliated to Guangxi Medical University, Liuzhou, China Impact: Multiparametric MRI integrating APT, DWI, and TIC enhances noninvasive differentiation of benign and malignant breast lesions. This approach may improve early diagnosis, guide clinical management, and prompt further research on imaging biomarkers linked to tumor biology and treatment response.
		365-04-014. Development and validation study of modified non-contrast O-RADS MRI scoring system for adnexal masses diagnosis Yan Ren, Zhijing Zhang, Chen Zhang, Yue Cheng, Shen Wen First Central Hospital of Tianjin Medical University, Tianjin, China Impact: The modified non-contrast O-RADS MRI scoring system attributes to risk stratification of adnexal masses especially for patients who were unable to undergo contrast agent injection. The system provides a reliable tool to optimize treatment strategies and improve patient outcomes.
		365-04-015. Quantitative Assessment of Renal Allografts using MR Elastography and Arterial Spin Labeling MRI Zhiqing Yin, Kaustav Bera, Pranit Chotai, Meghan Kapp, Hima Bindu Yerneni, Zoe Stewart Lewis, Mark Griswold, Chris Flask, Yong Chen, Sree Harsha Tirumani Case Western Reserve University, Cleveland, United States of America Impact: The results from this study suggest the potential role of MR elastography and arterial spin labeling MRI as non-invasive tools for diagnosing renal allografts, enabling earlier intervention, reducing biopsy-related risks, and improving long-term allograft outcomes.