The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Apr. 08, 2014

Filed:

Jan. 03, 2012
Applicants:

Michael Wels, Bamberg, DE;

Michael Suehling, Erlangen, DE;

Shaohua Kevin Zhou, Plainsboro, NJ (US);

David Liu, Princeton, NJ (US);

Dijia Wu, North Brunswick, NJ (US);

Christopher V. Alvino, Allenwood, NJ (US);

Michael Kelm, Erlangen, DE;

Grzegorz Soza, Heroldsberg, DE;

Dorin Comaniciu, Princeton Junction, NJ (US);

Inventors:

Michael Wels, Bamberg, DE;

Michael Suehling, Erlangen, DE;

Shaohua Kevin Zhou, Plainsboro, NJ (US);

David Liu, Princeton, NJ (US);

Dijia Wu, North Brunswick, NJ (US);

Christopher V. Alvino, Allenwood, NJ (US);

Michael Kelm, Erlangen, DE;

Grzegorz Soza, Heroldsberg, DE;

Dorin Comaniciu, Princeton Junction, NJ (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06K 9/46 (2006.01); G06K 9/62 (2006.01); G06K 9/68 (2006.01); G06K 9/70 (2006.01);
U.S. Cl.
CPC ...
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.


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