Patent · US Active

Efficient kernel density estimation of shape and intensity priors for level set segmentation

US7773806B2 · kind B2 · utility

4Cited by

0References

20Claims

0Family size

Assignee

Siemens Medical Solutions USA, Inc. · US

Inventors

Daniel Cremers · Bonn, DE
Mikael Rousson · Préaux, FR

Key dates

Filing date	Apr 3, 2006
Grant date	Aug 10, 2010
Priority date	—
Expiry date	Jun 10, 2029

Classification

Technology area (CPC G)Physics
CPC primaryG06T2207/30004
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Methods and systems for image segmentation are disclosed. A nonlinear statistical shape model of an image is integrated with a non-parametric intensity model to estimate characteristics of an image and create segmentations of an image based on Bayesian inference from characteristics of prior learned images based on the same models.

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