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MRI Defacing Effects on Brain Segmentation by Luan Rafael Aguiar is a document available to read on EtoBox.

This research paper evaluates the impact of eight MRI defacing algorithms on brain segmentation using two neuroimaging pipelines, SLANT and FreeSurfer, across 200 subjects from two datasets. The study finds that defacing can significantly alter brain segmentation, with some algorithms leading to catastrophic failures, while SLANT is less affected compared to FreeSurfer. The authors emphasize the need for robust defacing algorithms and thorough quality checks to ensure reliable analysis of defaced MRIs.

Author

Luan Rafael Aguiar

Language

EN