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Title: Automated analysis for microcalcifications in high resolution digital mammograms

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 {mu}m or 35 {mu}m 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.

Authors:
; ;
Publication Date:
Research Org.:
Lawrence Livermore National Lab., CA (United States)
Sponsoring Org.:
USDOE, Washington, DC (United States)
OSTI Identifier:
32784
Report Number(s):
UCRL-JC-113102; CONF-9302108-2
ON: DE95008072
DOE Contract Number:  
W-7405-ENG-48
Resource Type:
Conference
Resource Relation:
Conference: SPIE meeting on medical imaging, Newport Beach, CA (United States), 14 Feb 1993; Other Information: PBD: Jan 1993
Country of Publication:
United States
Language:
English
Subject:
55 BIOLOGY AND MEDICINE, BASIC STUDIES; 44 INSTRUMENTATION, INCLUDING NUCLEAR AND PARTICLE DETECTORS; 99 MATHEMATICS, COMPUTERS, INFORMATION SCIENCE, MANAGEMENT, LAW, MISCELLANEOUS; MAMMARY GLANDS; IMAGE PROCESSING; MEASURING INSTRUMENTS; AUTOMATION; CALCIUM; DIGITAL SYSTEMS; NEOPLASMS; X-RAY EQUIPMENT

Citation Formats

Mascio, L N, Hernandez, J M, and Logan, C M. Automated analysis for microcalcifications in high resolution digital mammograms. United States: N. p., 1993. Web.
Mascio, L N, Hernandez, J M, & Logan, C M. Automated analysis for microcalcifications in high resolution digital mammograms. United States.
Mascio, L N, Hernandez, J M, and Logan, C M. Fri . "Automated analysis for microcalcifications in high resolution digital mammograms". United States. https://www.osti.gov/servlets/purl/32784.
@article{osti_32784,
title = {Automated analysis for microcalcifications in high resolution digital mammograms},
author = {Mascio, L N and Hernandez, J M and Logan, C M},
abstractNote = {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 {mu}m or 35 {mu}m 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.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {1993},
month = {1}
}

Conference:
Other availability
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