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Abstract #1436

Anatomy to Tract Mapping: A Repeatability Study

Yee Fan Tan1,2, Siyuan Liu3, Khoi Minh Huynh2, Raphaël C.-W. Phan1, Chee-Ming Ting1, and Pew-Thian Yap2
1School of Information Technology, Monash University, Selangor, Malaysia, 2Department of Radiology and Biomedical Research Imaging Center (BRIC), UNC Chapel Hill, Chapel Hill, NC, United States, 3Marine Engineering College, Dalian Maritime University, Dalian, China

Synopsis

Keywords: Tractography, Tractography

Motivation: Anatomy to Tract Mapping (ATM) has shown promising performance in generating bundle-specific streamlines using only anatomical images. To ensure repeatability, we evaluate the test-retest reliability of ATM in reconstructing major white matter bundles.

Goal(s): To evaluate ATM repeatability in bundle-specific streamline generation from test-retest anatomical MR images.

Approach: We assess the reliability of ATM in producing consistent streamlines across test-retest sessions for various white matter bundles.

Results: ATM demonstrates strong consistency in generating complete bundles for test-retest subjects, indicating high repeatability. It shows substantial agreement in bundle similarity, coverage, streamline validity, geometry and connectomic metrics.

Impact: We show that bundle streamlines can be estimated directly from anatomical MRI. The generated streamlines exhibit robust test-retest reliability, contributing to (1) inferring streamlines when diffusion MRI is unavailable, (2) reducing local uncertainties in tractography, enhancing white matter pathways reconstruction.

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Keywords