| CPC G06T 17/20 (2013.01) [G06N 3/08 (2013.01); G06N 20/20 (2019.01); G06T 7/0012 (2013.01); G06T 7/11 (2017.01); G16H 30/40 (2018.01); G16H 50/50 (2018.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30048 (2013.01); G06T 2207/30104 (2013.01); G06T 2210/41 (2013.01)] | 30 Claims |

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1. A computer implemented method for generating a 3D image of a patient specific anatomic feature from 2D medical images, the method comprising:
automatically pre-processing a set of 2D medical images to identify critical features of the patient specific anatomic feature based on a downstream preoperative planning application;
automatically generating a 3D image from the pre-processed set of 2D medical images;
using a machine learning based image segmentation technique to segment the generated 3D image;
determining one or more parameters of the patient specific anatomic feature from the segmented 3D image; and
automatically determining one or more structural parameters of a physical medical device selected for the downstream preoperative planning application based on the one or more parameters of the patient specific anatomic feature.
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