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Diagnostic imaging

Diagnostic imaging

Functional imaging finds high-risk tumour subvolumes

02 Jan 2018
The processing workflow for multi-parametric images
The processing workflow for multi-parametric images. For each patient, the multi-parametric images are normalized and summed, and used to create supervoxels (top row). For each supervoxel, the median of all image features is calculated. Next, the supervoxels of all patients are combined and clustered based on their image features. Patients are assigned to the different clusters and differences in overall survival between the groups can be assessed. (Reprinted from Radiother. Oncol. 125 379 ©2017, with permission from Elsevier)
The heterogeneity of malignant tumours can impede the success of radiotherapy, as characteristics su

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Cynthia E Keen is a freelance journalist specializing in medicine and healthcare-related innovations
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