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:
Aug. 19, 2014

Filed:

Jan. 28, 2011
Applicants:

Ingmar Voigt, Erlangen, DE;

Dime Vitanovski, Erlangen, DE;

Razvan Ioan Ionasec, Lawrenceville, NJ (US);

Alexey Tsymbal, Erlangen, DE;

Bogdan Georgescu, Plainsboro, NJ (US);

Shaohua Kevin Zhou, Plainsboro, NJ (US);

Martin Huber, Uttenreuth, DE;

Dorin Comaniciu, Princeton Junction, NJ (US);

Inventors:

Ingmar Voigt, Erlangen, DE;

Dime Vitanovski, Erlangen, DE;

Razvan Ioan Ionasec, Lawrenceville, NJ (US);

Alexey Tsymbal, Erlangen, DE;

Bogdan Georgescu, Plainsboro, NJ (US);

Shaohua Kevin Zhou, Plainsboro, NJ (US);

Martin Huber, Uttenreuth, DE;

Dorin Comaniciu, Princeton Junction, NJ (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 17/30 (2006.01); G06F 19/12 (2011.01); G06F 19/26 (2011.01); A61B 5/05 (2006.01); G06N 5/00 (2006.01); G06G 7/60 (2006.01);
U.S. Cl.
CPC ...
G06G 7/60 (2013.01); G06N 5/00 (2013.01);
Abstract

A method and system for providing medical decision support based on virtual organ models and learning based discriminative distance functions is disclosed. A patient-specific virtual organ model is generated from medical image data of a patient. One or more similar organ models to the patient-specific organ model are retrieved from a plurality of previously stored virtual organ models using a learned discriminative distance function. The patient-specific valve model can be classified into a first class or a second class based on the previously stored organ models determined to be similar to the patient-specific organ model.


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