Patent · US Active

Systems and method for automatic prostate localization in MR images using random walker segmentation initialized via boosted classifiers

US8811701B2 · kind B2 · utility

3Cited by

0References

17Claims

0Family size

Assignee

Siemens Aktiengesellschaft · DE

Inventors

Parmeshwar Khurd · San Jose, US
Leo Grady · Yardley, US
Ali Kamen · Skillman, US
Mamadou Diallo · Plainsboro, US
Kalpitkumar Gajera · Mountain View, US
Peter Gall · Uttenreuth, DE
Martin Requardt · Nuremberg, DE
Berthold Kiefer · Erlangen, DE
Clifford R. Weiss · Baltimore, US

Key dates

Filing date	Nov 8, 2011
Grant date	Aug 19, 2014
Priority date	—
Expiry date	Jul 12, 2032

Classification

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

Abstract

Automatic prostate localization in T2-weighted MR images facilitate labor-intensive cancer imaging techniques. Methods and systems to accurately segment the prostate gland in MR images are provided and address large variations in prostate anatomy and disease, intensity inhomogeneities, and artifacts induced by endorectal coils. A center of the prostate is automatically detected with a boosted classifier trained on intensity based multi-level Gaussian Mixture Model Expectation Maximization (GMM-EM) segmentations of the raw MR images. A shape model is used in conjunction with Multi-Label Random Walker (MLRW) to constrain the seeding process within MLRW.

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