Construction and Validation of Mean Shape Atlas Templates for Atlas-Based Brain Image Segmentation

In this paper, we evaluate different schemes for constructing a mean shape anatomical atlas for atlas-based segmentation of MR brain images. Each atlas is constructed and validated using a database of 20 images for which detailed manual delineations of 49 different subcortical structures are available. Atlas construction and atlas based segmentation are performed by non-rigid intensity-based registration using a viscous fluid deformation model with parameters that were optimally tuned for this particular task. The segmentation performance of each atlas scheme is evaluated on the same database using a leave-one-out approach and measured by the volume overlap of corresponding regions in the groundtruth manual segmentation and the warped atlas label image.

• Type: Conference
• Year: 2005
• Where: IPMI
• Authors: Qian Wang, Dieter Seghers, Emiliano D'Agostino, Frederik Maes, Dirk Vandermeulen, Paul Suetens, Alexander Hammers
• Keywords: Atlas, Atlas Based Segmentation, IPMI 2005, Medical Imaging, Shape Anatomical Atlas