Automatic Detection of Calcified Coronary Plaques in Computed Tomography Data Sets

Authors:
Stefan C. Saur;Hatem Alkadhi;Lotus Desbiolles;Gábor Székely;Philippe C. Cattin
Affiliations:
Computer Vision Laboratory, , ETH Zurich, Switzerland;Institute of Diagnostic Radiology, University Hospital Zurich, Switzerland;Institute of Diagnostic Radiology, University Hospital Zurich, Switzerland;Computer Vision Laboratory, , ETH Zurich, Switzerland;Computer Vision Laboratory, , ETH Zurich, Switzerland and CMBE, University of Basel, Switzerland
Venue:
MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I
Year:
2008

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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.