Figure 1

Scheme of deep learning algorithm and associated preprocessing and postprocessing steps for image segmentation and analysis. Image preprocessing of raw MR images consisted of image reconstruction and data mask generation with MATLAB and PyTorch libraries. A Convolutional Neural Network (CNN) was built with TensorFlow and used for image segmentation. A fully connected neural network was employed for analysis of ROI values and calculation of the deltaT2 values.