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Proceedings Paper

Detection of clusters of microcalcification based on associated differential and morphological filters in full mammogram
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Paper Abstract

Segmenting structures of interest represents one of the most important stages in the processes of interpreting, classifying and diagnosing analyses for Computer Aided-Diagnosis schemes. In this work, a method to segment microcalcification clusters in mammograms is proposed which is based on a differential filter, associated to the classic Sobel filter, in a presegmentation step (Step 1). This process will identify the significant pixels, which means that they will have the same value in both resultant images at each filtering processes. Also, two morphologic operations, a classic dilatation scheme and the proposed filter in multidirectional format are applied to obtain better border definitions and filled in regions of interest. In the next step (Step 2), an image map is obtained by translating a template in almost all possible image positions generating a vector of densities, formed by counting significant pixels. This discrete function makes it possible to find maximum points which will represent the possible microcalcification clusters. An algorithm to transform areas into single points is proposed to enable counting how many possible microcalcifications there are inside these regions. Tests with two databases composed of full mammograms and regions of interest with phantom images are presented with its respective performances.

Paper Details

Date Published: 27 March 2009
PDF: 10 pages
Proc. SPIE 7259, Medical Imaging 2009: Image Processing, 72594G (27 March 2009); doi: 10.1117/12.811911
Show Author Affiliations
Evanivaldo C. Silva Jr., Univ. de São Paulo (Brazil)
Faculty de Technology of São José do Rio Preto (Brazil)
Homero Schiabel, Univ. de São Paulo (Brazil)
Liliane Ventura, Univ. de São Paulo (Brazil)


Published in SPIE Proceedings Vol. 7259:
Medical Imaging 2009: Image Processing
Josien P. W. Pluim; Benoit M. Dawant, Editor(s)

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