Identifying Potential Biomarkers for Parkinson’s Disease Using Neurite Orientation Dispersion and Diffusion Imaging (NODDI)
In this project, I have explored the use of NODDI, a diffusion MRI technique, to identify potential biomarkers for Parkinson’s disease using spinal cord images. The goal of this project was to use an existing Matlab toolbox to perform NODDI fitting, and then use Python to analyze the extracted NODDI metrics to identify potential differences in these metrics with Parkinson’s disease progression.