Patent · US Active

Method and system for automatic detection of spinal bone lesions in 3D medical image data

US8693750B2 · kind B2 · utility

0Cited by

5References

32Claims

0Family size

Assignee

Siemens Aktiengesellschaft · DE

Inventors

Michael Wels · Bamberg, DE
Michael Suehling · Erlangen, DE
Shaohua Kevin Zhou · Plainsboro, US
David Liu · San Francisco, US
Dijia Wu · Shanghai, CN
Christopher V. Alvino · Allenwood, US
Michael Kelm · Friedberg, DE
Grzegorz Soza · Heroldsberg, DE
Dorin Comaniciu · Princeton Junction, US

Key dates

Filing date	Jan 3, 2012
Grant date	Apr 8, 2014
Priority date	—
Expiry date	Sep 7, 2032

Classification

Technology area (CPC G)Physics
CPC primaryG06V2201/12
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

A method and system for automatic detection and volumetric quantification of bone lesions in 3D medical images, such as 3D computed tomography (CT) volumes, is disclosed. Regions of interest corresponding to bone regions are detected in a 3D medical image. Bone lesions are detected in the regions of interest using a cascade of trained detectors. The cascade of trained detectors automatically detects lesion centers and then estimates lesion size in all three spatial axes. A hierarchical multi-scale approach is used to detect bone lesions using a cascade of detectors on multiple levels of a resolution pyramid of the 3D medical image.

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