Patent · US Active

GGN segmentation in pulmonary images for accuracy and consistency

US7627173B2 · kind B2 · utility

1Cited by

6References

22Claims

0Family size

Assignee

Siemens Medical Solutions USA, Inc. · US

Inventors

Li Zhang · Skillman, US
Tiantian Zhang · Shanghai, CN

Key dates

Filing date	Jul 26, 2005
Grant date	Dec 1, 2009
Priority date	—
Expiry date	Jul 24, 2027

Classification

Technology area (CPC G)Physics
CPC primaryG06T2207/30064
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

A method and system for ground glass nodule (GGN) segmentation. The invention comprises methods and systems for GGN segmentation using adaptive intensity models in conjunction with Markov random field (MRF) based modeling. The adaptive intensity model overcomes problems associated with low-contrast GGN images. Vessels included by MRF segmentation are removed by shape analysis based on distance maps of the segmentation.

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