Title

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

RIS ID

76398

Publication Details

Zhou, L., Salvado, O., Dore, V., Bourgeat, P., Raniga, P., Villemagne, V., Rowe, C. & Fripp, J. (2012). MR-less surface-based amyloid estimation by subject-specific atlas selection and Bayesian fusion. Lecture Notes in Computer Science, 7511 (2012), 220-227.

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.

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