MIMIR: Deep Regression for Automated Analysis of UK Biobank MRI Scans.

UK Biobank (UKB) has recruited more than 500 000 volunteers from the United Kingdom, collecting health-related information on genetics, lifestyle, blood biochemistry, and more. Ongoing medical imaging of 100 000 participants with 70 000 follow-up sessions will yield up to 170 000 MRI scans, enabling image analysis of body composition, organs, and muscle. This study presents an experimental inference engine for automated analysis of UKB neck-to-knee body 1.5-T MRI scans. This retrospective cross-validation study includes data from 38 916 participants (52% female; mean age, 64 years) to capture baseline characteristics, such as age, height, weight, and sex, as well as measurements of body composition, organ volumes, and abstract properties, such as grip strength, pulse rate, and type 2 diabetes status. Prediction intervals for each end point were generated based on uncertainty quantification. On a subsequent release of UKB data, the proposed method predicted 12 body composition metrics with a 3% median error and yielded mostly well-calibrated individual prediction intervals. The processing of MRI scans from 1000 participants required 10 minutes. The underlying method used convolutional neural networks for image-based mean-variance regression on two-dimensional representations of the MRI data. An implementation was made publicly available for fast and fully automated estimation of 72 different measurements from future releases of UKB image data.

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© 2022 by the Radiological Society of North America, Inc.

Déclaration de conflit d'intérêts

Disclosures of conflicts of interest: T.L. Grants from the Swedish Heart-Lung Foundation and the Swedish Research Council (2016-01040, 2019-04756, 2020-0500, 2021-70492). A.M.M. Salary from Uppsala University as Research Assistant during the completion of this work; funding from Uppsala University included computational material (computers, GPUs) and access to data used in the study. R.S. No relevant relationships. H.A. Swedish Research Council Swedish Lung-Heart Foundation payments to Uppsala University; stocks in Antaros Medical; one of four founders and an employee of Antaros Medical. J.K. Stock/stock options in Antaros Medical; co-founder, stockowner, and employee at Antaros Medical.