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Abstract #0997

Linear Fusion-Based Dual-MR Contrast Enhancement for Improved Choroid Plexus Segmentation

Kwanseok Oh1, Dahye Lee1, Intae Shin2, and Sung-Min Gho1
1Medical R&D Center, DEEPNOID, Seoul, Korea, Republic of, 2Department of Biomedical Engineering, Daegu Catholic University, Gyeongsan, Korea, Republic of

Synopsis

Keywords: Neurofluids, Neurofluids, Neurodegeneration

Motivation: Combining T1w and T2w-FLAIR images via arithmetic operation-based fusion significantly enhanced image contrast, emphasizing the boundaries and improving tissue differentiation around the choroid plexus (ChP).

Goal(s): To improve segmentation accuracy of the ChP and evaluate the effectiveness and feasibility of the proposed technique across various DL models.

Approach: Dual-MR contrast fusion is conducted following image alignment, normalization, and linear computation between T1w and T2w-FLAIR images. Off-the-shelf DL models were used to perform ChP segmentation.

Results: Fused MR images achieved higher quantitative values (Hausdorff distances and Dice scores), with significant improvements in Relative Contrast and SNR compared to methods utilizing a single MR image.

Impact: The proposed technique is a simple yet effective contrast enhancement strategy for accurate choroid plexus segmentation, which could play a crucial role in clinical diagnostics and contribute to advancements in neuroimaging applications for neurodegenerative diseases.

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