公开(公告)号：US20220230319A1

公开(公告)日：2022-07-21

申请号：US17596287

申请日：2020-06-01

Applicant: RaySearch Laboratories AB

Inventor： Sebastian Andersson ,  Kjell Eriksson ,  Stina Svensson ,  Dla Weistrand

IPC: G06T7/00 ,  G16H30/40

Abstract: A deep learning model may be trained to provide an estimated image of the interior of a patient, based on a number of image sets, each image set comprising an interior image of the interior of a person and a contour image of the person's outer contour at a specific point in time. The model is trained to establish an optimized parametrized conversion function G specifying the correlation between the interior of the person and the persons outer contour based on the image sets. The conversion function G can then be used to provide estimated images of patient's interior based on their contours.