Imiomics: Bringing omics to whole body imaging: Examples in cross sectional interaction between whole-body MRI and non-imaging data

We have developed an image processing concept, Imiomics (imaging omics), a set of methods, including image registration, that allow statistical and holistic analysis of whole-body image data and non-imaging data. The image registration gives point-to-point correspondences between images allowing whole-body comparisons of image intensity values and morphology. The purpose of this work was to present Imiomics and initial examples of cross sectional interaction between MRI (fat content and local volume) and non-imaging data (anthropometrical and body fat measurements) where there is information on expected associations. We conclude that Imiomics can be used for cross-sectional anomaly detection, associations and group comparisons.

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