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Fig. 1 | EJNMMI Research

Fig. 1

From: Sensitivity of an AI method for [18F]FDG PET/CT outcome prediction of diffuse large B-cell lymphoma patients to image reconstruction protocols

Fig. 1

Workflow overview. A Generation of original probabilities from whole-body PET scans. The MIPs are generated from the PET scan through the preprocessing tool. The CNN is then used to predict 2-year TTP probabilities. This is done for each of the 3 reconstructed images for all patients. B Generation of image-transformed probabilities from filtered whole-body PET scans. A Gaussian filter is applied to the EARL2 and HR scans to obtain images that resemble EARL1-compliant images. The preprocessing tool is used to generate the MIPs from the transformed scans and the CNN is then used to predict the corresponding 2-year TTP probabilities. C Generation of ComBat probabilities from whole-body PET scans. To obtain the ComBat-transformed probabilities, ComBat is applied to the generated original probabilities

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