Breast peripheral area correction in digital mammograms

Meritxell Tortajada, Arnau Oliver, Robert Martí, Sergi Ganau, Lidia Tortajada, Melcior Sentís, Jordi Freixenet, Reyer Zwiggelaar

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)
352 Downloads (Pure)

Abstract

Digital mammograms may present an overexposed area in the peripheral part of the breast, which is visually shown as a darker area with lower contrast. This has a direct impact on image quality and affects image visualisation and assessment. This paper presents an automatic method to enhance the overexposed peripheral breast area providing a more homogeneous and improved view of the whole mammogram. The method automatically restores the overexposed area by equalising the image using information from the intensity of non-overexposed neighbour pixels. The correction is based on a multiplicative model and on the computation of the distance map from the breast boundary. A total of 334 digital mammograms were used for evaluation. Mammograms before and after enhancement were evaluated by an expert using visual comparison. In 90.42% of the cases, the enhancement obtained improved visualisation compared to the original image in terms of contrast and detail. Moreover, results show that lesions found in the peripheral area after enhancement presented a more homogeneous intensity distribution. Hence, peripheral enhancement is shown to improve visualisation and will play a role in further development of CAD systems in mammography.
Original languageEnglish
Pages (from-to)32-40
Number of pages9
JournalComputers in Biology and Medicine
Volume50
Early online date02 Apr 2014
DOIs
Publication statusPublished - 01 Jul 2014

Keywords

  • mammography
  • image processing
  • radiographic image enhancement
  • computer-assited diagnosis
  • image quality

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