atlas-based segmentation

Full Definition

Atlas-based segmentation is a computational neuroimaging technique that automatically identifies and labels anatomical brain regions by registering individual brain scans to standardized anatomical templates or atlases. This method enables consistent region-of-interest definition across subjects and studies, facilitating quantitative analysis of brain structure and function. Common atlases include the AAL (Automated Anatomical Labeling), Harvard-Oxford, and FreeSurfer atlases, each with specific strengths for different research applications.

Usage

Usage note: Hyphenate 'atlas-based' when used as compound adjective.

In Context

• "Atlas-based segmentation using the AAL template identified 116 cortical and subcortical regions." — Neuroimaging analysis pipeline
• "Manual correction was required after atlas-based segmentation in regions with poor image quality." — Quality control procedures