Breast tissue density quantification via digitized mammograms

Punam K SAHA; Jayaram K UDUPA; Emily F CONANT; Dev P CHAKRABORTY; Daniel SULLIVAN

doi:10.1109/42.938247

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Breast tissue density quantification via digitized mammograms

Journal article

Peer reviewed

Breast tissue density quantification via digitized mammograms

Punam K SAHA, Jayaram K UDUPA, Emily F CONANT, Dev P CHAKRABORTY and Daniel SULLIVAN

IEEE transactions on medical imaging, Vol.20(8), pp.792-803

2001

DOI: 10.1109/42.938247

PMID: 11513030

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Abstract

Studies reported in the literature indicate that breast cancer risk is associated with mammographic densities. An objective, repeatable, and a quantitative measure of risk derived from mammographic densities will be of considerable use in recommending alternative screening paradigms and/or preventive measures. However, image processing efforts toward this goal seem to be sparse in the literature, and automatic and efficient methods do not seem to exist. Here, the authors describe and validate an automatic and reproducible method to segment dense tissue regions from fat within breasts from digitized mammograms using scale-based fuzzy connectivity methods. Different measures for characterizing mammographic density are computed from the segmented regions and their robustness in terms of their linear correlation across two different projections-cranio-caudal and medio-lateral-oblique-are studied. The accuracy of the method is studied by computing the area of mismatch of segmented dense regions using the proposed method and using manual outlining. A comparison between the mammographic density parameter taking into account the original intensities and that just considering the segmented area indicates that the former may have some advantages over the latter.

Radiodiagnosis. Nmr imagery. Nmr spectrometry

Investigative techniques, diagnostic techniques (general aspects)

Computerized, statistical medical data processing and models in biomedicine

Biological and medical sciences

Genital system. Mammary gland

Medical sciences

General aspects. Methods

Details

Title: Subtitle: Breast tissue density quantification via digitized mammograms
Creators: Punam K SAHA - Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, United States
Jayaram K UDUPA - Medical Image Processing Group, Department of Radiology, University of Pennsylvania, 4th floor, Blockley Hall, 423 Guardian Drive, Philadelphia, PA 19104-6021, United States
Emily F CONANT - Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, United States
Dev P CHAKRABORTY - Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, United States
Daniel SULLIVAN - National Cancer Institute-EPN-800, Rockville, MD 20852, United States
Resource Type: Journal article
Publication Details: IEEE transactions on medical imaging, Vol.20(8), pp.792-803
DOI: 10.1109/42.938247
PMID: 11513030
NLM abbreviation: IEEE Trans Med Imaging
ISSN: 0278-0062
eISSN: 1558-254X
Publisher: Institute of Electrical and Electronics Engineers; New York, NY
Language: English
Date published: 2001
Academic Unit: Radiology; Electrical and Computer Engineering; Internal Medicine
Record Identifier: 9984051998402771

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