Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
303-03-004 ISMRM Abstract

A Deep Learning Framework for Rapid Post-Processing of Oscillating Gradient Spin Echo in Glioma Molecular Subtyping

Primary: Diffusion - Microstructure
Secondary: Neuro - Tumors
303-03-004 · Advanced Tumor Imaging: Bridging Research and Clinical Practice · Monday, 11 May, 4:10 PM–6:00 PM · Auditorium 1
Keywords: Deep learning Glioma classification Adult-type diffuse glioma OGSE Diffusion Microstructure
Accepted
Yuhui Xiong 1, Lizhi Xie1, Xin Ge2,3, Ruicheng Ba1, Jing Zhang3, Bing Wu1
1GE HealthCare MR Research, Beijing, China
2Department of Radiology & Functional and Molecular Imaging Key Lab of Shaanxi Province, Tangdu Hospital, Fourth Military Medical University, Xi'an, China
3Department of Magnetic Resonance, Lanzhou, China
Presenting Author: Yuhui Xiong

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References

1. Maekawa T, Hori M, Murata K, et al. Differentiation of high-grade and low-grade intra-axial brain tumors by time-dependent diffusion MRI[J]. Magnetic Resonance Imaging, 2020, 72: 34-41.
2. Maekawa T, Hori M, Murata K, et al. Investigation of time-dependent diffusion in extra-axial brain tumors using oscillating-gradient spin-echo[J]. Magnetic Resonance Imaging, 2023, 96: 67-74.
3. Zhang H, Liu K, Ba R, et al. Histological and molecular classifications of pediatric glioma with time-dependent diffusion MRI-based microstructural mapping[J]. Neuro-oncology, 2023, 25(6): 1146-1156.
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7. Stepišnik J. Time-dependent self-diffusion by NMR spin-echo[J]. Physica B: Condensed Matter, 1993, 183(4): 343-350.
8. Liu K, Lin Z, Zheng T, et al. Improving microstructural estimation in time‐dependent diffusion MRI with a Bayesian method[J]. Journal of Magnetic Resonance Imaging, 2025, 61(2): 724-734.
9. Tournier J D, Smith R, Raffelt D, et al. MRtrix3: A fast, flexible and open software framework for medical image processing and visualisation[J]. Neuroimage, 2019, 202: 116137.
10. Yushkevich P A, Piven J, Hazlett H C, et al. User-guided 3D active contour segmentation of anatomical structures: significantly improved efficiency and reliability[J]. Neuroimage, 2006, 31(3): 1116-1128.

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http://echo.ismrm.org/p/ISMRM2026/303-03-004