Construction and validation of mean shape atlas templates for atlas-based brain image segmentation

Authors:
Qian Wang;Dieter Seghers;Emiliano D’Agostino;Frederik Maes;Dirk Vandermeulen;Paul Suetens;Alexander Hammers
Affiliations:
Faculties of Medicine and Engineering, Medical Imag Computing – ESAT/PSI, University Hospital Gasthuisberg, Katholieke Universiteit Leuven, Leuven, Belgium;Faculties of Medicine and Engineering, Medical Imag Computing – ESAT/PSI, University Hospital Gasthuisberg, Katholieke Universiteit Leuven, Leuven, Belgium;Faculties of Medicine and Engineering, Medical Imag Computing – ESAT/PSI, University Hospital Gasthuisberg, Katholieke Universiteit Leuven, Leuven, Belgium;Faculties of Medicine and Engineering, Medical Imag Computing – ESAT/PSI, University Hospital Gasthuisberg, Katholieke Universiteit Leuven, Leuven, Belgium;Faculties of Medicine and Engineering, Medical Imag Computing – ESAT/PSI, University Hospital Gasthuisberg, Katholieke Universiteit Leuven, Leuven, Belgium;Faculties of Medicine and Engineering, Medical Imag Computing – ESAT/PSI, University Hospital Gasthuisberg, Katholieke Universiteit Leuven, Leuven, Belgium;Division of Neuroscience and Mental Health, MRC Clinical Sciences Centre, London, United Kingdom
Venue:
IPMI'05 Proceedings of the 19th international conference on Information Processing in Medical Imaging
Year:
2005

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Abstract

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 ground-truth manual segmentation and the warped atlas label image.