High efficient abdominal T1 and T2 mapping via LMC-MOLED acquisition and GAL Multi-UNet reconstruction
Motivation: The abdominal multi-parametric quantitative imaging can comprehensively assess the characteristics of abdominal tissues, offering high medical diagnostic value. However, it is often time-consuming, and accelerating acquisition could promote its widespread clinical application. Goal(s): Develop a method to achieve rapid simultaneous T1 and T2 mapping of abdomen. Approach: Longitudinal magnetization controlled multiple overlapping-echo detachment (LMC-MOLED) sequence is performed to acquire abdominal images rapidly, and reconstruction for abdominal T1 and T2 maps is carried out using synthetic data and the proposed GAL Multi-UNet neural network. Results: The proposed method can achieve accurate T1 and T2 mapping for five slices in vivo abdomen within 5 seconds. Impact: We proposed a new method for rapid simultaneous T1 and T2 mapping of abdomen, addressing the issue of long acquisition time in abdominal multi-parametric quantitative imaging, with significant potential value for clinical diagnosis.
Authors
- Liangjie Lin (ORCID: https://orcid.org/0000-0002-3174-3136)
- Shuhui Cai (ORCID: https://orcid.org/0000-0003-2767-9490)
- Congbo Cai (ORCID: https://orcid.org/0000-0002-0600-8594)
- Liuhong Zhu (ORCID: https://orcid.org/0000-0003-1251-6744)
- Yuchen Zheng (ORCID: https://orcid.org/0000-0003-0670-5135)
- Qing Lin (ORCID: https://orcid.org/0000-0002-6719-7819)
- Wei‐Kun Chen (ORCID: https://orcid.org/0000-0003-4147-1346)
- Zhong Chen (ORCID: https://orcid.org/0000-0001-8256-0156)
- Jiazheng Wang (ORCID: https://orcid.org/0000-0003-0733-169X)
Publication Details
- Journal
- Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
- Published
- 2025-09-16
- DOI
- https://doi.org/10.58530/2025/4609
- Primary Topic
- Medical Imaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00