Application of Automatic Subregion Segmentation in Perfusion Evaluation of Hippocampal Sclerosis based on Arterial Spin Labeling

Motivation: Evaluating the hippocampal volume and perfusion level is important in the diagnosis of hippocampal sclerosis (HS). However, further observation at the subregion level is difficult. Goal(s): To investigate the alterations in hippocampal subregion volume and blood flow in HS patients with an automatic segmentation procedure. Approach: T1-MPRAGE and 3D-pCASL images were automatically segmented to quantify the hippocampal subregion volume and blood flow. The diagnostic performance of these subregion quantitative metrics in HS were statistically analyzed. Results: The volume (VCA1) and blood flow (CBFCA1) of CA1 region are independent factors in diagnosing HS. The combination of VCA1 and CBFCA1 has the highest diagnostic performance. Impact: The combination of automatic segmentation and arterial spin labeling offers a quantitative imaging foundation for diagnosing hippocampal sclerosis at the subregion level. This scheme can also be applied to other MR techniques to improve the diagnostic effectiveness in hippocampal research.

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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/10.58530/2024/3078
Primary Topic
Advanced MRI Techniques and Applications
Type
article
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article

Application of Automatic Subregion Segmentation in Perfusion Evaluation of Hippocampal Sclerosis based on Arterial Spin Labeling

Zhang Yan Ling, Lu Qin, Wang Yi Ting, Bo Tian et al.
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
Advanced MRI Techniques and Applications
article

Application of Automatic Subregion Segmentation in Perfusion Evaluation of Hippocampal Sclerosis based on Arterial Spin Labeling

Zhang Yan Ling, Lu Qin, Wang Yi Ting, Bo Tian, Bing Chen, Jian Li, Xie Hui, Yan Mengnan
article en

Abstract

Motivation: Evaluating the hippocampal volume and perfusion level is important in the diagnosis of hippocampal sclerosis (HS). However, further observation at the subregion level is difficult. Goal(s): To investigate the alterations in hippocampal subregion volume and blood flow in HS patients with an automatic segmentation procedure. Approach: T1-MPRAGE and 3D-pCASL images were automatically segmented to quantify the hippocampal subregion volume and blood flow. The diagnostic performance of these subregion quantitative metrics in HS were statistically analyzed. Results: The volume (VCA1) and blood flow (CBFCA1) of CA1 region are independent factors in diagnosing HS. The combination of VCA1 and CBFCA1 has the highest diagnostic performance. Impact: The combination of automatic segmentation and arterial spin labeling offers a quantitative imaging foundation for diagnosing hippocampal sclerosis at the subregion level. This scheme can also be applied to other MR techniques to improve the diagnostic effectiveness in hippocampal research.

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
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Advanced MRI Techniques and Applications
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