Motivation: To assess Nigrosome1 characteristics in Parkinson's disease, especially where the structure is not visible. Goal(s): To build a Nigrosome-1 template that enables to charaterize the region in Parkinson's disease. Approach: Creation of a symmetric probability map of N1 using optimized non-linear co-registration that accounts for geometric distortion in SWI data. Comparison between manual and automated measurements. Impact: Assessing Nigrosome1 characteristics in Parkinson's disease, especially where the structure is not visible, will enhance the understanding of the disease and help identifying biomarkers of disease progression and differential diagnosis.
Catrambone et al. (Tue,) studied this question.