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Proceedings Paper

Semi-automatic detection of calcifications using nonlinear stretching on x-ray images
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Paper Abstract

A central problem in the development of a mass-screening tool for atherosclerotic plaque is automatic calcification detection. The mass-screening aspect implies that the detection process should be fast and reliable. In this paper we present a first step in this direction by introducing a semi-automatic calcification classification tool based on non-linear stretching, an image enhancement method that focusses on local image statistics. The calcified areas are approximated by a coarse brush, which in our case is mimicked by taking the ground truth, provided by radiologists, and dilating it with circular structuring elements of varying sizes. Thresholds are then examined for the different structuring elements, that yield optimal results on the enhanced image. The results in this preliminary study which contains 19 images of varying calcification degree, fully annotated by medical experts, show a significant increase in accuracy when the methodology is validated on a region of interest containing the areas of a simulated coarse brush.

Paper Details

Date Published: 30 March 2007
PDF: 7 pages
Proc. SPIE 6514, Medical Imaging 2007: Computer-Aided Diagnosis, 65142N (30 March 2007); doi: 10.1117/12.708443
Show Author Affiliations
Lars A. Conrad-Hansen, Nordic Bioscience A/S (Denmark)
Marleen de Brujne, Nordic Bioscience A/S (Denmark)
Univ. of Copenhagen (Denmark)
Mads Nielsen, Nordic Bioscience A/S (Denmark)
Univ. of Copenhagen (Denmark)
Maria Petrou, Imperial College London (United Kingdom)

Published in SPIE Proceedings Vol. 6514:
Medical Imaging 2007: Computer-Aided Diagnosis
Maryellen L. Giger; Nico Karssemeijer, Editor(s)

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