US 12,423,811 B2
System for determing mechanical tissue characteristics from imaging data
Christian Cyron, Reinbek (DE); Kevin Linka, Hamburg (DE); and Sven Nebelung, Aachen (DE)
Assigned to Helmholtz-Zentrum hereon GmbH, Geesthacht (DE); and Technische Universität Hamburg (TUHH), Hamburg (DE)
Filed by Helmholtz-Zentrum hereon GmbH, Geesthacht (DE); and Technische Universität Hamburg (TUHH), Hamburg (DE)
Filed on Mar. 3, 2023, as Appl. No. 18/116,997.
Claims priority of application No. 22160216 (EP), filed on Mar. 4, 2022.
Prior Publication US 2023/0281808 A1, Sep. 7, 2023
Int. Cl. G06T 7/00 (2017.01)
CPC G06T 7/0012 (2013.01) [G06T 2207/20081 (2013.01); G06T 2207/30004 (2013.01)] 14 Claims
OG exemplary drawing
 
1. A system for determining a mechanical tissue characteristic (Ψ), the system comprising:
a providing unit structured to provide 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, a0, 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; and
a determining unit structured to determine, based on the provided set of images, a mechanical tissue characteristic (Ψ) indicative of a mechanical responsiveness of the tissue region of interest, wherein 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 (Ψ) as an output.