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Automatic detection of calcified coronary plaques in computed tomography data sets
Editor(s)
Metaxas, D.; Axel, L.; Fichtinger, G.; Szekely, G.
Book title (Conference Proceedings)
Medical image computing and computer-assisted intervention - MICCAI 2008 : 11th International Conference, New York, NY, USA, September 6-10, 2008 ; Proceedings
Volume
5241
Place of Conference
New York
Publisher
Springer
Place of Publication
Berlin
Pages
S. 170-177
Abstract
The detection of calcified plaques is an essential step in the assessment of coronary heart diseases. However, manual plaque segmentation is subjected to intra- and inter-observer variability. We present a novel framework for the automatic detection of calcified coronary plaques in Computed Tomography images. In contrast to the state-of-the-art, both the native and the angio data sets are included to gain additional information about each plaque for its detection and subsequent assessment. The framework was successfully tested on 127 patients where 85.5% of the calcified and 96% of the obstructive plaques have been detected.