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Fig. 1 | Journal of Translational Medicine

Fig. 1

From: Bringing radiomics into a multi-omics framework for a comprehensive genotype–phenotype characterization of oncological diseases

Fig. 1

Radiomics workflow. Radiomics features can be calculated from one or more imaging modalities, e.g. computed tomography (CT), magnetic resonance (MR), positron emission tomography (PET), for each time point acquired. Then, regions of interest (ROIs) are segmented from the acquired multi-parametric images, e.g. T2 weighted MR image, Contrast Enhanced T1 weighted MR image, FDG PET image, as shown from left to right in the figure in a case of breast lesion. Finally, the radiomic features are estimated, providing hundreds of features that can be categorized as shape, first order, second order and higher order features, for each segmented ROI, for each patient in the study and for each acquired image

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