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MR-less surface-based amyloid estimation by subject-specific atlas selection and Bayesian fusion.

作者信息

Zhou Luping, Salvado Olivier, Dore Vincent, Bourgeat Pierrick, Raniga Parnesh, Villemagne Victor L, Rowe Christopher C, Fripp Jurgen

机构信息

Australian e-Health Research Centre, CSIRO, Australia.

出版信息

Med Image Comput Comput Assist Interv. 2012;15(Pt 2):220-7. doi: 10.1007/978-3-642-33418-4_28.

DOI:10.1007/978-3-642-33418-4_28
PMID:23286052
Abstract

For clinical evaluation, assessing amyloid deposition with PiB-PET is desirable without requiring MR acquisition and associated fusion/segmentation techniques. A useful clinical tool is to estimate PiB-PET against the brain surface, which is however challenging using PET alone because of the lack of structural information. We propose a method to generate such estimate, where multiple atlases are selected and combined with local weights in a Bayesian framework. Qualitative and quantitative comparison with and without MRI are presented. Using PET only, the average error on the brain surface was around 13% compared to MRI-dependant method.

摘要

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