MR-Less Surface-Based Amyloid Estimation by Subject-Specific Atlas Selection and Bayesian Fusion [chapter]

Luping Zhou, Olivier Salvado, Vincent Dore, Pierrick Bourgeat, Parnesh Raniga, Victor L. Villemagne, Christopher C. Rowe, Jurgen Fripp
2012 Lecture Notes in Computer Science  
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
more » ... ison with and without MRI are presented. Using PET only, the average error on the brain surface was around 13% compared to MRI-dependant method.
doi:10.1007/978-3-642-33418-4_28 fatcat:cui3oevmhvax3bxxa4dxf4v6ha