Patent · US Active

Method and system for multi-organ segmentation using learning-based segmentation and level set optimization

US9042620B2 · kind B2 · utility

10Cited by

5References

29Claims

0Family size

Assignee

Siemens Aktiengesellschaft · DE

Inventors

Timo Kohlberger · Mountain View, US
Michal Sofka · Princeton, US
Jens Wetzl · Spardorf, DE
Jingdan Zhang · Plainsboro, US
Shaohua Kevin Zhou · Plainsboro, US
Neil Birkbeck · Sunnyvale, US
Jerome Declerck · Felton, GB
Jens Kaftan · Felton, GB

Key dates

Filing date	Mar 9, 2012
Grant date	May 26, 2015
Priority date	—
Expiry date	Jun 21, 2033

Classification

Technology area (CPC G)Physics
CPC primaryG06T2207/30084
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

A method and system for automatic multi-organ segmentation in a 3D image, such as a 3D computed tomography (CT) volume using learning-base segmentation and level set optimization is disclosed. A plurality of meshes are segmented in a 3D medical image, each mesh corresponding to one of a plurality of organs. A level set in initialized by converting each of the plurality of meshes to a respective signed distance map. The level set optimized by refining the signed distance map corresponding to each one of the plurality of organs to minimize an energy function.

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