Patent · US Active

Anatomy-aware motion estimation

US11693919B2 · kind B2 · utility

0Cited by

0References

20Claims

0Family size

Assignee

Shanghai United Imaging Intelligence Co., Ltd. · CN

Inventors

Xiao Chen · Cambridge, US
Pingjun Chen · Gainesville, US
Zhang Chen · Cambridge, US
Terrence Chen · Princeton, US
Shanhui Sun · Princeton, US

Key dates

Filing date	Jun 22, 2020
Grant date	Jul 4, 2023
Priority date	—
Expiry date	May 14, 2041

Classification

Technology area (CPC G)Physics
CPC primaryG06V2201/031
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Described herein are neural network-based systems, methods and instrumentalities associated with estimating the motion of an anatomical structure. The motion estimation may be performed utilizing pre-learned knowledge of the anatomy of the anatomical structure. The anatomical knowledge may be learned via a variational autoencoder, which may then be used to optimize the parameters of a motion estimation neural network system such that, when performing motion estimation for the anatomical structure, the motion estimation neural network system may produce results that conform with the underlying anatomy of anatomical structure.

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