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Fig. 1 | BMC Medical Imaging

Fig. 1

From: Multi-parametric radiomics of conventional T1 weighted and susceptibility-weighted imaging for differential diagnosis of idiopathic Parkinson’s disease and multiple system atrophy

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

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BMC Medical Imaging

ISSN: 1471-2342

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