Computer aided detection of microcalcification clusters

Image analysis – Applications – Biomedical applications

Reexamination Certificate

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Details

C382S132000, C382S190000, C382S283000, C378S037000

Reexamination Certificate

active

07848555

ABSTRACT:
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.

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