Carestream Health, Inc.

Yue Shen

Daoxian Heidi Zhang

Lawrence Allen Ray

Shoupu Chen

Wido Menhardt

Patrick Bernard Heffernan

Yong Chu

Yang Zheng

Patrick B Heffeman

Yajie Sun

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 identifying a digitized x-ray film having at least one label. The method includes the steps of: obtaining a digital image of said label; digitally associating said digitized image of the label with said digitized x-ray film; and displaying said digital image of said label thereby allowing a user to identify said digitized x-ray film.

Patient identification method for X-ray film user-interfaces

Growing community of inventors

Santa Clara, CA, United States of America

Yue Shen