CPC G06T 3/14 (2024.01) [G06N 20/00 (2019.01); G06T 7/0012 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/10132 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30016 (2013.01)] | 25 Claims |
1. A method for generating a biomechanically accurate deformation vector field (DVF) for input images, the method comprising:
receiving first and second images depicting an anatomy of a subject;
applying a trained machine learning model to a first data set associated with the first image, the first data set excluding a first contour associated with the first image, and a second data set associated with the second image to estimate a biomechanically accurate DVF representing a mapping of pixels or voxels from the first image to the second image without processing the first contour of the first image, the machine learning model trained to establish a relationship between a plurality of pairs of data sets associated with images of a patient anatomy and respective biomechanically accurate DVF representations of pixel or voxel mapping between the plurality of pairs of data sets; and
applying the estimated biomechanically accurate DVF to deform a dose from a previous treatment session.
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