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Comparisons of different contrast resolution effects on a computer-aided detection system intended to cluster microcalcifications detected in dense breast images

Journal of Digital Imaging volume 14, pages 217–219 (2001)Cite this article

Abstract

Clustered microcalcifications, which are frequently an important signal of possible cancer, are usually hidden in dense breast images, adding more difficulty in mammogram medical analysis. In this work we evaluate the performance of a previously developed computer-aided detection scheme, modified for application to dense breast images. The main focus of this investigation was on the effect of different contrast resolutions on the processing performance. We have processed dense breast images digitized with a and 12 bits to evaluate the performance of this computer-aided detection scheme with different contrast resolutions. As expected, for most of the 12·bit images, the number of detected signals was greater or at least equal to that of the 8·bit images.

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References

  1. Egan RL, McSweeney MB, Sewell CW, et al: Intramammary calcifications without an associated mass in benign and malignant diseases. Radiology 137:1–7, 1980

    CAS  PubMed  Google Scholar 

  2. Nishikawa RM, Giger ML, Doi K, et al: Computer-aided detection and diagnosis of masses. and clustered microcalcifications from digital mammograms, in Bowyer KW, Astley S (eds): State of the Art in Digital Mammographic Image Analysis. Singapore, World Scientific Publishing, 1994, pp 82–102

    Chapter  Google Scholar 

  3. Chan H-P, Doi K, Galtrotra S, et al: Image feature analysis and computer-aided diagnosis in digital radiography. I. Automated detection of microcalcifications in mammography. Med Phys 14:538–548, 1987

    Article  CAS  PubMed  Google Scholar 

  4. Shen L, Rangayyan RM, Desautels JEL, et al Detection and classification of mammographic calcifications. Int J Pattern Recognition Artif Intelligence 7:1403–1416, 1993

    Article  Google Scholar 

  5. Byrne C, Schairer C, Wolfe J, et al: Mammographic features and breast cancer risk: Effects with time, age, and menopause status. J Natl Cancer Inst 87:1622–1629, 1995

    Article  CAS  PubMed  Google Scholar 

  6. Nunes FLS, Schiabel H, Frere AF: Digital marnmogra phy: Problems associated to the detection of clustered microcalcification in image processing. IASTED-International Conference on Computer Graphics and Imaging, Halifax, Canada, June 1–3, 1998

  7. Nunes FLS, Schiabel H, Patrocinio AC, et al: Breast clustered microcalcifications detection: Influence of the gray scale levels on the performance of a CAD scheme. Proceedings of the International Seminar on Bioelectronic Interfaces III Workshop on Cybernetic Vision, Capinas-Sl’, Brasil, February 23–26, 1999, pp 92–97 .

  8. Sickles E: Breast calcifications: Mammographic evaluation. Radiology 160:289–293, 1986

    CAS  PubMed  Google Scholar 

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Affiliations

  1. Departamento de Física e Informática, Universidade de Sāo Paulo, Brasil

    Fátima L. S. Nunes, Hamero Schiabel, Mauricio C. Escarpinati & Cláudio E. Góes

  2. Departamento de Engenharia Elétrica, Universidade de Sāo Paulo, Av. Trabalhador Sāocarlense, 400-CEP, 13566-590, Sāo Carlos. SP, Brasil

    Fátima L. S. Nunes, Hamero Schiabel, Mauricio C. Escarpinati & Cláudio E. Góes

Authors
  1. Fátima L. S. Nunes
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  2. Hamero Schiabel
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  3. Mauricio C. Escarpinati
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  4. Cláudio E. Góes
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Correspondence to Fátima L. S. Nunes.

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Nunes, F.L.S., Schiabel, H., Escarpinati, M.C. et al. Comparisons of different contrast resolution effects on a computer-aided detection system intended to cluster microcalcifications detected in dense breast images. Journal of Digital Imaging 14, 217–219 (2001). https://doi.org/10.1007/BF03190344

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  • DOI: https://doi.org/10.1007/BF03190344

Keywords

  • Dense Breast
  • Contrast Resolution
  • Cluster Detection
  • Digital Mammogram
  • Microcalcification Cluster