We study Parkinson's disease (PD) using an automatic specialized diffusion-based atlas. A total of 47 subjects,
among who 22 patients diagnosed clinically with PD and 25 control cases, underwent DTI imaging. The EPIs
have lower resolution but provide essential anisotropy information for the fiber tracking process. The two
volumes of interest (VOI) represented by the Substantia Nigra and the Putamen are detected on the EPI and FA
respectively. We use the VOIs for the geometry-based registration. We fuse the anatomical detail detected on FA
image for the putamen volume with the EPI. After 3D fibers growing on the two volumes, we compute the fiber
density (FD) and the fiber volume (FV). Furthermore, we compare patients based on the extracted fibers and
evaluate them according to Hohen&Yahr (H&Y) scale. This paper introduces the method used for automatic
volume detection and evaluates the fiber growing method on these volumes. Our approach is important from the
clinical standpoint, providing a new tool for the neurologists to evaluate and predict PD evolution. From the
technical point of view, the fusion approach deals with the tensor based information (EPI) and the extraction
of the anatomical detail (FA and EPI).
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