Abstract #1161

Evaluation of Pairwise and Groupwise Templates-based Approaches for Automated Segmentation of Structures in Brain MR Images

Subrahmanyam Gorthi¹ and Srikrishnan Viswanathan¹

¹Samsung R&D Institute, Bangalore, India

This work presents a detailed investigation of two multiple-templates based fusion approaches for automated segmentation of structures in the brain MR images: (i) fusion based on direct pairwise registrations between each template and the target image, and (ii) fusion based on an intermediate groupwise template, requiring only a single onsite registration. The key finding from these evaluations is that, if computational time for automated segmentations is a major concern, then groupwise-template based registration followed by fusion is an optimal choice; if time is not a major constraint, then multiple pairwise registrations followed by fusion provides more accurate segmentations.

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