CPC A61B 34/10 (2016.02) [G06F 30/27 (2020.01); G06T 7/11 (2017.01); G16H 30/40 (2018.01); G16H 40/63 (2018.01); G16H 50/20 (2018.01); G16H 50/50 (2018.01); G16H 50/70 (2018.01); G16H 70/60 (2018.01); A61B 2034/104 (2016.02); A61B 2034/107 (2016.02); G06T 2207/20081 (2013.01)] | 19 Claims |
1. A method for deformation simulation of a hollow organ that is deformed by an introduction of a medical instrument or a medical object, the method comprising:
providing a pre-trained machine-learning algorithm, wherein the machine-learning algorithm is pre-trained by a plurality of known pairs of recordings from a first three-dimensional medical recording of an undeformed hollow organ and its surrounding tissue and a second three-dimensional medical recording of a hollow organ and its surrounding tissue deformed by a medical instrument or a medical object;
acquiring a three-dimensional medical recording of the hollow organ with surrounding tissue, wherein the three-dimensional medical recording was recorded before the introduction of the medical instrument or the medical object;
segmenting or acquiring a segmentation of the three-dimensional medical recording of the hollow organ;
forming or acquiring a three-dimensional model of the hollow organ;
providing information about the medical instrument or the medical object introduced or to be introduced; and
simulating, using the pre-trained machine-learning algorithm, a deformation of the hollow organ to be expected or brought about by introduction of the medical instrument or the medical object on a basis of the segmented three-dimensional medical recording of the hollow organ and the surrounding tissue and the information about the medical instrument or the medical object.
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