Iterative multi-atlas-based multi-image segmentation with tree-based registration

• Published in: NeuroImage (Orlando, Fla.) Vol. 59; no. 1; pp. 422 - 430
• Main Authors: Jia, Hongjun, Yap, Pew-Thian, Shen, Dinggang
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 02.01.2012; Elsevier Limited
• Subjects: Accuracy; Algorithms; Brain - anatomy & histology; Brain Mapping - methods; Computer graphics; Groupwise registration; Groupwise segmentation; Humans; Image Interpretation, Computer-Assisted - methods; Intermediate template; Labeling; Methods; Multiple atlases; Pattern Recognition, Automated - methods; Software; Multiple atlases; Groupwise segmentation; Intermediate template; Groupwise registration

In this paper, we present a multi-atlas-based framework for accurate, consistent and simultaneous segmentation of a group of target images. Multi-atlas-based segmentation algorithms consider concurrently complementary information from multiple atlases to produce optimal segmentation outcomes. Howeve...