A Deep Learning model for segmentation of the core components mediating the Papez circuit in brain 7T-MRI
Motivation: The core components mediating the Papez circuit are important targets or localization indicators for the clinical development of deep brain stimulation (DBS) in treating Alzheimer's disease (AD), refractory epilepsy, and other diseases. Goal(s): Exploring deep learning model for segmentation of the core components mediating the Papez circuit in brain 7T-MRIApproach: Fifty-five healthy volunteers were enrolled, and SegResVAE Net was used to segment core components. Results: The SegResVAE Net exhibited the best Dice scores for the mammillary body, mammillothalamic tract, and the average of all components. Impact: Segmentation of the core components mediating the Papez circuit would be beneficial for treating Alzheimer's disease (AD), refractory epilepsy, and other diseases.
Authors
- Yunsong Peng (ORCID: https://orcid.org/0000-0002-6328-3189)
- Zhiming Zhen (ORCID: https://orcid.org/0000-0001-6064-1916)
- Chong Tian (ORCID: https://orcid.org/0000-0003-4476-4558)
- Chen Wang (ORCID: https://orcid.org/0000-0002-3951-3159)
- Rongpin Wang (ORCID: https://orcid.org/0000-0001-7587-4181)
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
- 2024-11-26
- DOI
- https://doi.org/10.58530/2024/2055
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00