International Business Machines Corporation

Tel Hashomer Medical Research Infrastructure and Services Ltd.

Tel Aviv University

Bar-ilan University

Radlogics, Inc.

Hayit Greenspan

Fei Wang

Tanveer Fathima Syeda-Mahmood

David James Beymer

Yong Zhang

Arnaldo Mayer

Eli Konen

Jacob Goldberger

Eliahu Konen

Moshe Becker

Uri Avni

Michal Sharon

A method of generating a category model for classifying medical images. The method comprises providing a plurality of medical images each categorized as one of a plurality of categorized groups, generating an index of a plurality of visual words according to a distribution of a plurality of local descriptors in each the image, modeling a category model mapping a relation between each visual word and at least one of the categorized groups according to the index, and outputting the category model for facilitating the categorization of an image based on local descriptors thereof.

Method and system of classifying medical images

Embodiments of the invention relate to a method, system, and computer program product to automate image classification with respect to coronary vessels in an angiography sequence. Two primary elements are employed, including training and recognition. Training pertains to the pre-processing images and extracting salient features that characterize the appearance of coronary arteries under different viewpoints. Recognition pertains to extraction of features from a new image sequence and determining a classification boundary for the new image from previously classified and labeled image sequences.

Vessel identification using shape and motion mapping for coronary angiogram sequences

Embodiments of the invention relate to automating image classification with respect to coronary vessels in an angiography sequence. Two primary elements are employed, including training and recognition. Training pertains to the pre-processing images and extracting salient features that characterize the appearance of coronary arteries under different viewpoints. Recognition pertains to extraction of features from a new image sequence and determining a classification boundary for the new image from previously classified and labeled image sequences.

Methods and systems for retrieving and processing medical diagnostic images are provided, comprising using picture analysis prioritization visualization and reporting system ('PAPVR system') to determine whether each of one or more images from an image database or imaging device is of medical interest to a reviewing physician, determine whether one or more of the images is representative of the images, and provide the one or more images to a display and analysis system for review by a reviewing physician. The PAPVR system can provide the one or more images with a Key Image that is representative of the images. In addition, the PAPVR system can detect whether a patient suffers from a particular ailment, and provide a reviewing physician quantitative information that is relevant to the patient's condition.

Methods and systems for analyzing, prioritizing, visualizing, and reporting medical images

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Los Gatos, CA, United States of America

Hayit Greenspan