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. 2019 Jun 17;21(9):1197–1209. doi: 10.1093/neuonc/noz095

Fig. 1.

Fig. 1

MRI preprocessing pipeline. All the conventional MRI data were skull stripped, co-registered, and resampled. They were then submitted to tumor segmentation using convolutional neural networks with manual correction. The raw T2* signal intensity-time curve was obtained from DSC perfusion MRI using the subregion mask: peritumoral edema (blue), enhancing tumor core (green), and non-enhancing tumor core (red).