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Fig. 2 | EJNMMI Research

Fig. 2

From: Relevance of 18F-DOPA visual and semi-quantitative PET metrics for the diagnostic of Parkinson disease in clinical practice: a machine learning-based inference study

Fig. 2

Image processing and data extraction. The whole dataset was assessed both visually and automatically. For visual analysis (A), five independent readers blindly re assessed all the 18F-DOPA PET data by using the international recommendation procedure guideline. An overall composite “visual” interpretation based on the five readers results was generated for each 18F-DOPA PET. For automated analysis (B), the 18F-DOPA PET/MRI data were processed in a dedicated neuroimaging pipeline (Free surfer) to be standardized and labeled. For this purpose, each T1w MRI was normalized into the MNI space, and the transformation was applied to the corresponding 18F-DOPA PET. Numerous metrics could be extracted automatically from the standardized PET data. Finally, a subset of targeted PET metrics was retained (C) based on their conceptual relevance and explored to identify potential high collinearity (D)

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