Automated breast profile segmentation for ROI detection using digital mammograms

Jawad Nagi, Sameem Abdul Kareem, Farrukh Nagi, Syed Khaleel Ahmed

Research output: Chapter in Book/Report/Conference proceedingConference contribution

79 Citations (Scopus)

Abstract

Mammography is currently the most effective imaging modality used by radiologists for the screening of breast cancer. Finding an accurate, robust and efficient breast profile segmentation technique still remains a challenging problem in digital mammography. Extraction of the breast profile region and the pectoral muscle is an essential pre-processing step in the process of computer-aided detection. Primarily it allows the search for abnormalities to be limited to the region of the breast tissue without undue influence from the background of the mammogram. The presence of pectoral muscle in mammograms biases detection procedures, which recommends removing the pectoral muscle during mammogram pre-processing. In this paper we explore an automated technique for mammogram segmentation. The proposed algorithm uses morphological preprocessing and seeded region growing (SRG) algorithm in order to: (1) remove digitization noises, (2) suppress radiopaque artifacts, (3) separate background region from the breast profile region, and (4) remove the pectoral muscle, for accentuating the breast profile region. To demonstrate the capability of our proposed approach, digital mammograms from two separate sources are tested using Ground Truth (GT) images for evaluation of performance characteristics. Experimental results obtained indicate that the breast regions extracted accurately correspond to the respective GT images.

Original languageEnglish
Title of host publicationProceedings of 2010 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2010
Pages87-92
Number of pages6
DOIs
Publication statusPublished - 01 Dec 2010
Event2010 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2010 - Kuala Lumpur, Malaysia
Duration: 30 Nov 201002 Dec 2010

Publication series

NameProceedings of 2010 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2010

Other

Other2010 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2010
CountryMalaysia
CityKuala Lumpur
Period30/11/1002/12/10

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All Science Journal Classification (ASJC) codes

  • Biomedical Engineering

Cite this

Nagi, J., Abdul Kareem, S., Nagi, F., & Khaleel Ahmed, S. (2010). Automated breast profile segmentation for ROI detection using digital mammograms. In Proceedings of 2010 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2010 (pp. 87-92). [5742205] (Proceedings of 2010 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2010). https://doi.org/10.1109/IECBES.2010.5742205