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Abstract #1025

Organ-based estimation of the chronological age based on 3D MRI scans

Sherif Abdulatif1, Karim Armanious1,2, Anish Rao Bhaktharaguttu1, Thomas Küstner2, Bin Yang1, and Sergios Gatidis2
1University of Stuttgart, Stuttgart, Germany, 2University Hospital Tübingen, Tübingen, Germany

Age is an essential clinical parameter. It is often utilized as a risk factor for various disorders with the potential of influencing therapeutic decisions. However, a discrepancy exists between the chronological age (CA) and the biological age (BA) of an individual due to many factors such as medical history, genetics and lifestyle. In this preliminary work, we propose a novel deep-learning architecture for organ-specific CA estimation from 3D MR volumes for the brain and knee. We hypothesize that the introduced organ-specific approach would enable future analysis of the BA as different organs are expected to exhibit different aging characteristics.

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