Application of image processing techniques for contrast enhancement in dense breast digital mammograms

Fatima de Lourdes dos Santos Nunes; Homero Schiabel; Rodrigo Henrique Benatti

doi:10.1117/12.348505

21 May 1999 Application of image processing techniques for contrast enhancement in dense breast digital mammograms

Fatima de Lourdes dos Santos Nunes, Homero Schiabel, Rodrigo Henrique Benatti

Proceedings Volume 3661, Medical Imaging 1999: Image Processing; (1999) https://doi.org/10.1117/12.348505
Event: Medical Imaging '99, 1999, San Diego, CA, United States

Abstract

Dense breasts, that usually are characteristic of women less than 40 years old, difficult many times early detection of breast cancer. In this work we present the application of some image processing techniques intended to enhance the contrast in dense breast images, regarding the detection of clustered microcalcifications. The procedure was, firstly, determining in the literature the main techniques used for mammographic images contrast enhancement. The results indicate that, in general: (1) as expected, the overall performance of the CAD scheme for clusters detection decreased when applied exclusively to dense breast images, compared to the application to a set of images without this characteristic; (2) most of the techniques for contrast enhancement used successfully in generic mammography images databases are not able to enhance structures of athirst in databases formed only by dense breasts images, due to the very poor contrast between microcalcifications, for example, and other tissues. These features should stress, therefore, the need of developing a methodology specifically for this type of images in order to provide better conditions to the detection of breast suspicious structures in these group of women.

Citation Download Citation

Fatima de Lourdes dos Santos Nunes, Homero Schiabel, and Rodrigo Henrique Benatti "Application of image processing techniques for contrast enhancement in dense breast digital mammograms", Proc. SPIE 3661, Medical Imaging 1999: Image Processing, (21 May 1999); https://doi.org/10.1117/12.348505

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