Carestream Health, Inc.

Daoxian Heidi Zhang

Lawrence Allen Ray

Xiaohui Wang

Yue Shen

Patrick Bernard Heffernan

Shoupu Chen

Zhimin Huo

Michael D Heath

Mary E Couwenhoven

Marco Bucci

Wido Menhardt

Yong Chu

Yajie Sun

Yang Zheng

Patrick B Heffeman

Scott Harrington

A method for supporting diagnostic workflow from a medical imaging apparatus. A set of at least two images are obtained from a patient and displayed according to a user-specified image display layout selected from a plurality of image display layouts. One or more markers are associated with a region of interest in the displayed images. A list of regions of interest is generated, each having an entry for each associated marker. A classification is assigned to each entry in the list of regions of interest according to health risk.

Method for supporting diagnostic workflow from a medical imaging apparatus

A method for image linear structure detection in medical imaging. The method includes locating microcalcification (mcc) candidate spots in a mammographic image; forming candidate clusters; assigning ranks to the candidate clusters; identifying linear structures in the neighborhood where the candidate clusters reside; and altering the ranks of the candidate clusters for which linear structures have been identified in the neighborhood.

Line structure detection and analysis for mammography CAD

A method for computer-aided detection of microcalcification clusters using a digital computer obtains digital mammography data for a single view image and normalizes and filters the image data to reduce noise. A first mask is generated and applied to the image data for defining the breast structure, forming a first cropped image. A second mask is generated and applied to the image data for defining muscle structure, forming a second cropped image. An artifact mask corresponding to vascular calcifications and known imaging artifacts is generated and applied to the first and second cropped images, defining first and second artifact-masked cropped images. In a repeated sequence, portions of each artifact-masked cropped image are processed using an enhancement algorithm and reducing edge effects to obtain a set of microcalcification cluster candidates and suspected microcalcification clusters. Image processing algorithms remove false positives from the listing of microcalcification clusters and classify candidate microcalcification clusters to identify true positives.

Computer aided detection of microcalcification clusters

Computer-aided detection of microcalcification clusters

A method and system for Computer Aided Detection (CAD) of abnormalities in X-ray images in which the features and/or criteria used in the CAD analysis are displayed as coded descriptors on the digital image of the X-ray to provide an indication to a user of the basis underlying the identification of a particular abnormality therefore increasing the reliability of a diagnosis established by the user.

Method and system for computer aided detection (CAD) cued reading of medical images

Growing community of inventors

Los Gatos, CA, United States of America

Daoxian Heidi Zhang