Patent · US Active

Automated estimation of midline shift in brain ct images

US11861828B2 · kind B2 · utility

1Cited by

3References

20Claims

0Family size

Assignee

Siemens Healthcare Limited · DE

Inventors

Nguyen Nguyen · Columbia, US
Youngjin Yoo · Princeton, US
Pascal Ceccaldi · New York, US
Eli Gibson · Plainsboro, US
Andrei Chekkoury · Erlangen, DE

Key dates

Filing date	Jun 10, 2021
Grant date	Jan 2, 2024
Priority date	—
Expiry date	Aug 25, 2042

Classification

Technology area (CPC G)Physics
CPC primaryG06T2207/30172
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Systems and methods for quantifying a shift of an anatomical object of a patient are provided. A 3D medical image of an anatomical object of a patient is received. An initial location of landmarks on the anatomical object in the 3D medical image is determined using a first machine learning network. A 2D slice depicting the initial location of the landmarks is extracted from the 3D medical image. The initial location of the landmarks in the 2D slice is refined using a second machine learning network. A shift of the anatomical object is quantified based on the refined location of the landmarks in the 2D slice. The quantified shift of the anatomical object is output.

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