Helmholtz-zentrum Hereon Gmbh

Technische Universität Hamburg (Tuhh)

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Kevin Linka

Christian Cyron

A system and methods for determining a mechanical tissue characteristic (Ψ) are provided. The system comprises a providing unit for providing a set of images of a tissue region of interest, wherein the provided set of images comprises image features indicative of one or more structural properties (α, a, CO, PG) of the tissue region of interest and has been acquired using an imaging modality suitable for in-vivo imaging of the tissue region of interest. The system further comprises a determining unit for determining, based on the provided set of images, a mechanical tissue characteristic (Ψ) indicative of a mechanical responsiveness of the tissue region of interest. The determining unit comprises a machine learning architecture adapted to receive the provided set of images as an input and to provide the mechanical tissue characteristic as an output.

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Aachen, Germany

Sven Nebelung