open access

Vol 47, No 3 (2009)
ORIGINAL PAPERS
Published online: 2010-02-19
Submitted: 2011-12-19
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Computer aided system for segmentation and visualization of microcalcifications in digital mammograms.

Branimir Reljin, Zorica Milosević, Tomislav Stojić, Irini Reljin
DOI: 10.2478/v10042-009-0076-1
·
Folia Histochem Cytobiol 2009;47(3):525-532.

open access

Vol 47, No 3 (2009)
ORIGINAL PAPERS
Published online: 2010-02-19
Submitted: 2011-12-19

Abstract

Two methods for segmentation and visualization of microcalcifications in digital or digitized mammograms are described. First method is based on modern mathematical morphology, while the second one uses the multifractal approach. In the first method, by using an appropriate combination of some morphological operations, high local contrast enhancement, followed by significant suppression of background tissue, irrespective of its radiology density, is obtained. By iterative procedure, this method highly emphasizes only small bright details, possible microcalcifications. In a multifractal approach, from initial mammogram image, a corresponding multifractal "images" are created, from which a radiologist has a freedom to change the level of segmentation. An appropriate user friendly computer aided visualization (CAV) system with embedded two methods is realized. The interactive approach enables the physician to control the level and the quality of segmentation. Suggested methods were tested through mammograms from MIAS database as a gold standard, and from clinical praxis, using digitized films and digital images from full field digital mammograph.

Abstract

Two methods for segmentation and visualization of microcalcifications in digital or digitized mammograms are described. First method is based on modern mathematical morphology, while the second one uses the multifractal approach. In the first method, by using an appropriate combination of some morphological operations, high local contrast enhancement, followed by significant suppression of background tissue, irrespective of its radiology density, is obtained. By iterative procedure, this method highly emphasizes only small bright details, possible microcalcifications. In a multifractal approach, from initial mammogram image, a corresponding multifractal "images" are created, from which a radiologist has a freedom to change the level of segmentation. An appropriate user friendly computer aided visualization (CAV) system with embedded two methods is realized. The interactive approach enables the physician to control the level and the quality of segmentation. Suggested methods were tested through mammograms from MIAS database as a gold standard, and from clinical praxis, using digitized films and digital images from full field digital mammograph.
Get Citation
About this article
Title

Computer aided system for segmentation and visualization of microcalcifications in digital mammograms.

Journal

Folia Histochemica et Cytobiologica

Issue

Vol 47, No 3 (2009)

Pages

525-532

Published online

2010-02-19

DOI

10.2478/v10042-009-0076-1

Bibliographic record

Folia Histochem Cytobiol 2009;47(3):525-532.

Authors

Branimir Reljin
Zorica Milosević
Tomislav Stojić
Irini Reljin

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