Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
565-02-003 ISMRM Abstract

Knowledge Distillation-Based Brain Tumor Segmentation with Incomplete MRI Modalities

Primary: Analysis Methods - Segmentation and Detection
Secondary: Neuro - Tumors
565-02-003 · Neuro-Oncology and Ear, Nose, and Throat Cancer · Wednesday, 13 May, 9:15 AM–10:10 AM · Digital Posters Row F
Keywords: Brain Tumor Segmentation Incomplete MRI Modalities Knowledge Distillation
Accepted
Qianqian Zheng1, Liting Guo2, Shuang Li1, Yuchi Tian3, Xiaorui Su1, Xiaoyun Liang3, Yuqi Jin1, Guangliang Ju2, Qiang Yue1
1West China Hospital of Sichuan University, Chendu, China
2Intelligent Imaging Software R&D Division，Neusoft Medical Systems Co., Ltd, Shenyang, China
3Institute of Research and Clinical Innovations, Neusoft Medical Systems Co., Ltd, Shanghai, China
Presenting Author: Qiuxing Chen

Synopsis

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References

1. Ostrom QT, Price M, Neff C, et al. CBTRUS Statistical Report: Primary Brain and Other Central Nervous System Tumors Diagnosed in the United States in 2016-2020. Neuro Oncol. Oct 4 2023;25(12 Suppl 2):iv1-iv99. doi:10.1093/neuonc/noad149 [doi]
2. Bauer S, Wiest R, Nolte LP, Reyes M. A survey of MRI-based medical image analysis for brain tumor studies. Phys Med Biol. Jul 7 2013;58(13):R97-129. doi:10.1088/0031-9155/58/13/R97 [doi]
3. Ghaffari M, Sowmya A, Oliver R. Automated Brain Tumor Segmentation Using Multimodal Brain Scans: A Survey Based on Models Submitted to the BraTS 2012-2018 Challenges. IEEE Rev Biomed Eng. 2020;13:156-168. doi:10.1109/RBME.2019.2946868 [doi]
4. Xu X, Yang J, Hu D, Khan MA, Por LY, Li C. Diffusion Model with Relation-Aware Attention and Edge-Aware Constraint for Multi-Modal Brain Tumor Segmentation. IEEE J Biomed Health Inform. Sep 8 2025;PPdoi:10.1109/JBHI.2025.3607446 [doi]
5. Guan H, Wang C, Tao D. MRI-based Alzheimer's disease prediction via distilling the knowledge in multi-modal data. Neuroimage. Dec 1 2021;244:118586. doi:10.1016/j.neuroimage.2021.118586 [doi]
6. Di Ieva A, Russo C, Liu S, et al. Application of deep learning for automatic segmentation of brain tumors on magnetic resonance imaging: a heuristic approach in the clinical scenario. Neuroradiology. Aug 2021;63(8):1253-1262. doi:10.1007/s00234-021-02649-3 [doi]

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http://echo.ismrm.org/p/ISMRM2026/565-02-003