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Abstract #2468

Improved PVS Segmentation using T1-weighted Image: Comparison with T2-weighted Image-Based Segmentation

Junghwa Kang1, Na-Young Shin2, and Yoonho Nam1
1Divison of Biomedical Engineering, Hankuk university of Foreign Studies, Yongin-si, Korea, Republic of, 2Department of radiology, Severance Hospital, Seoul, Korea, Republic of

Synopsis

Keywords: Neurofluids, Segmentation, Perivascular space, Glymphatic system

Motivation: In general, 3D T2 is more sensitive than 3D T1 in quantitatively assessing MR-visible perivascular space in the whole brain. However, in clinical practice, it is common to have 3D T1 but not 3D T2.

Goal(s): In this study, we introduce an improved method for PVS quantification using 3D T1 alone.

Approach: We used a cascaded model to sequentially improve perivascular space visibility and segmentation accuracy using 3D T1 alone.

Results: The result of the proposed method, using the T1w approach, demonstrates high similarity to the results obtained with only T2w data.

Impact: This study introduces a method to segment perivascular spaces using T1-weighted images when T2-weighted images are not available. The method involves cascaded models and shows the potential for results similar to T2w-based segmentation.

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Keywords