Patent · US Active

Method and system for automatic prostate segmentation in magnetic resonance images

US9269156B2 · kind B2 · utility

2Cited by

2References

21Claims

0Family size

Assignee

Siemens Aktiengesellschaft · DE

Inventors

Neil Birkbeck · Sunnyvale, US
Jingdan Zhang · Plainsboro, US
Martin Requardt · Nuremberg, DE
Berthold Kiefer · Erlangen, DE
Peter Gall · Uttenreuth, DE
Shaohua Kevin Zhou · Plainsboro, US

Key dates

Filing date	Jul 22, 2013
Grant date	Feb 23, 2016
Priority date	—
Expiry date	Feb 21, 2034

Classification

Technology area (CPC G)Physics
CPC primaryG06T2207/30081
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

A method and system for fully automatic segmentation the prostate in magnetic resonance (MR) image data is disclosed. Intensity normalization is performed on an MR image of a patient to adjust for global contrast changes between the MR image and other MR scans and to adjust for intensity variation within the MR image due to an endorectal coil used to acquire the MR image. An initial prostate segmentation in the MR image is obtained by aligning a learned statistical shape model of the prostate to the MR image using marginal space learning (MSL). The initial prostate segmentation is refined using one or more trained boundary classifiers.

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