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Proceedings Paper

Automated analysis for microcalcifications in high-resolution digital mammograms
Author(s): Laura N. Kegelmeyer; John A. Moreno Hernandez; Clinton M. Logan
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Paper Abstract

Digital mammography offers the promise of significant advances in early detection of breast cancer. Our overall goal is to design a digital system which improves upon every aspect of current mammography technology: the x-ray source, detector, visual presentation of the mammogram and computer-aided diagnosis capabilities. This paper will discuss one part of our whole-system approach--the development of a computer algorithm using gray-scale morphology to automatically analyze and flag microcalcifications in digital mammograms in hopes of reducing the current percentage of false-negative diagnoses, which is estimated at 20%. The mammograms used for developing this 'mammographers assistant' are film mammograms which we have digitized at either 70 micrometers or 35 micrometers per pixel resolution with 4096 (12 bits) of gray level per pixel. For each potential microcalcification detected in these images, we compute a number of features in order to distinguish between the different kinds of objects detected.

Paper Details

Date Published: 14 September 1993
PDF: 8 pages
Proc. SPIE 1898, Medical Imaging 1993: Image Processing, (14 September 1993); doi: 10.1117/12.154533
Show Author Affiliations
Laura N. Kegelmeyer, Lawrence Livermore National Lab. (United States)
John A. Moreno Hernandez, Lawrence Livermore National Lab. (United States)
Clinton M. Logan, Lawrence Livermore National Lab. (United States)

Published in SPIE Proceedings Vol. 1898:
Medical Imaging 1993: Image Processing
Murray H. Loew, Editor(s)

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