Patent · US Active

System and method for training a machine learning model and for providing an estimated interior image of a patient

US12118727B2 · kind B2 · utility

0Cited by

0References

15Claims

0Family size

Assignee

Raysearch Laboratories AB (publ) · SE

Inventors

Sebastian Andersson · Stockholm, SE
Kjell Eriksson · Bålsta, SE
Stina Svensson · Stockholm, SE
Ola Weistrand · Huddinge, SE

Key dates

Filing date	Jun 1, 2020
Grant date	Oct 15, 2024
Priority date	—
Expiry date	Jun 1, 2041

Classification

Technology area (CPC G)Physics
CPC primaryG06T2207/30096
WIPO fieldMedical technology
WIPO sectorInstruments

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.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.