Size-adapted microcalcification segmentation in mammography utilizing scale-space signatures

Nikolaos S. Arikidis, Anna Karahaliou, Spyros Skiadopoulos, Panayiotis Korfiatis, Eleni Likaki, George Panayiotakis, Lena Costaridou

Research output: Contribution to journalArticlepeer-review

14 Scopus citations


The purpose of this study is size-adapted segmentation of individual microcalcifications in mammography, based on microcalcification scale-space signature estimation, enabling robust scale selection for initialization of multiscale active contours. Segmentation accuracy was evaluated by the area overlap measure, by comparing the proposed method and two recently proposed ones to expert manual delineations. The method achieved area overlap of 0.61. ±. 0.15 outperforming statistically (p<0.001) the other two methods (0.53. ±. 0.18, 0.42. ±. 0.16). Only the proposed method performed equally for both small (<460. μm) and large (≥460. μm) microcalcifications. Results indicate an accurate method, which could be utilized in computer-aided diagnosis schemes of microcalcification clusters.

Original languageEnglish (US)
Pages (from-to)487-493
Number of pages7
JournalComputerized Medical Imaging and Graphics
Issue number6
StatePublished - Sep 2010


  • Active rays
  • Directional active contours
  • Scale-space signature analysis
  • Size-adapted microcalcification segmentation

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Computer Vision and Pattern Recognition
  • Health Informatics
  • Computer Graphics and Computer-Aided Design


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