Fig. 1.

The workflow of this study (1) Segmentation and registration: Regions of caudate, putamen, globus pallidus, substantia nucleus, red nucleus, and subthalamic nucleus were manually segmented on SWI sequence, and co-registered to T1 sequence. (2) Feature extraction: Three kinds of features were extracted from SWI and T1 sequence. (3) Feature selection: ANOVA and lasso were applied for feature selection procedure. (4) Modeling: Three different classification models (logistic regression (LR), support vector machine (SVM), and light gradient boosting machine (LGBM)) were built to distinguish different groups: including MSA vs. PD, and MSA vs. PD vs. HC