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:
Mar. 22, 2011

Filed:

Jun. 25, 2004
Applicants:

Sriram Krishnan, Exton, PA (US);

Alok Gupta, Bryn Mawr, PA (US);

R. Bharat Rao, Berwyn, PA (US);

Dorin Comaniciu, Princeton Jct., NJ (US);

Xiang Sean Zhou, Plainsboro, NJ (US);

Inventors:

Sriram Krishnan, Exton, PA (US);

Alok Gupta, Bryn Mawr, PA (US);

R. Bharat Rao, Berwyn, PA (US);

Dorin Comaniciu, Princeton Jct., NJ (US);

Xiang Sean Zhou, Plainsboro, NJ (US);

Assignees:

Siemens Medical Solutions USA, Inc., Malvern, PA (US);

Siemens Corporation, Iselin, NJ (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
A61B 5/05 (2006.01);
U.S. Cl.
CPC ...
Abstract

CAD (computer-aided diagnosis) systems and applications for cardiac imaging are provided, which implement methods to automatically extract and analyze features from a collection of patient information (including image data and/or non-image data) of a subject patient, to provide decision support for various aspects of physician workflow including, for example, automated assessment of regional myocardial function through wall motion analysis, automated diagnosis of heart diseases and conditions such as cardiomyopathy, coronary artery disease and other heart-related medical conditions, and other automated decision support functions. The CAD systems implement machine-learning techniques that use a set of training data obtained (learned) from a database of labeled patient cases in one or more relevant clinical domains and/or expert interpretations of such data to enable the CAD systems to 'learn' to analyze patient data and make proper diagnostic assessments and decisions for assisting physician workflow.


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