Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
630-01-005 ISMRM Abstract

Rapid Whole-Brain Susceptibility Source Separation within One Minute Using 3D Multiple Overlapping-Echo Detachment (3D-MOLED）

Primary: Acquisition & Reconstruction - Quantitative Imaging: head and neck
Secondary: Neuro - Multiple Sclerosis
630-01-005 · Quantitative Susceptibility Mapping: From Phase to Tissue Properties · Thursday, 14 May, 8:30 AM–10:20 AM · Meeting Room 2.60
Keywords: Multiple Sclerosis Susceptibility source separation 3D-MOLED Rapid Susceptibility Mapping
Accepted
Longkun Chen 1, Qinqin Yang2, Nuowei Ge1, Zejun Wu1, Liuhong Zhu3, Jianjun Zhou3, Liangjie Lin4, Jianfeng Bao5, Shuhui Cai1, Congbo Cai1
1Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xiamen, China
2Department of Radiological Sciences, University of California, Irvine, United States of America
3Department of Radiology, Zhongshan Hospital (Xiamen), Xiamen, China
4Clinical and Technical Support, Philips Healthcare (Beijing), Beijing, China
5Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
Presenting Author: Longkun Chen

Synopsis

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References

1. Duyn JH, Schenck J. Contributions to magnetic susceptibility of brain tissue. NMR Biomed. 2017;30(4). https://doi.org/10.1002/nbm.3546 [doi]
2. Li X, Bu S, Pang H, et al. Association of myelin disruption and iron accumulation on MRI with Parkinson's disease severity. J Magn Reson Imaging. 2025;62(4):1105‐1116. https://doi.org/10.1002/jmri.2983 [doi]
3. Emmerich J, Bachert P, Ladd ME, Straub S. On the separation of susceptibility sources in quantitative susceptibility mapping: Theory and phantom validation with an in vivo application to multiple sclerosis lesions of different age. J Magn Reson. 2021;330. https://doi.org/10.1016/j.jmr.2021.107033 [doi]
4. Shin H, Lee J, Yun Y, et al. χ-separation: Magnetic susceptibility source separation toward iron and myelin mapping in the brain. Neuroimage. 2021;240. https://doi.org/10.1016/j.neuroimage.2021.118371 [doi]
5. Chen J, Gong N-J, Chaim KT, et al. Decompose quantitative susceptibility mapping (QSM) to sub-voxel diamagnetic and paramagnetic components based on gradient-echo MRI data. Neuroimage. 2021;242. https://doi.org/10.1016/j.neuroimage.2021.118477 [doi]
6. Li Z, Feng R, Liu Q, et al. APART-QSM: An improved sub-voxel quantitative susceptibility mapping for susceptibility source separation using an iterative data fitting method. Neuroimage. 2023;274. https://doi.org/10.1016/j.neuroimage.2023.120148 [doi]
7. Dimov A, Gillen K, Nguyen T, et al. Magnetic susceptibility source separation solely from gradient echo data: Histological validation. Tomography. 2022;8(3):1544‐1551. https://doi.org/10.3390/tomography8030127 [doi]
8. Yang QQ, Chen LK, Ge NW, et al. Rapid whole-brain T2* and susceptibility mapping using 3D multiple overlapping-echo detachment acquisition and missing modality synthesis embedded simulation. Magn Reson Med. 2025. https://doi.org/10.1002/mrm.70108 [doi]
9. Kim M, Ji S, Kim J, et al. χ-sepnet: Deep neural network for magnetic susceptibility source separation. Hum Brain Mapp. 2025;46(2). https://doi.org/10.1016/j.neuroimage.2021.118371 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/630-01-005