A patient-specific coronary density estimate

  • Authors:

  • R. Shahzad;M. Schaap;T. van Walsum;S. Klien;A. C. Weustink;L. J. van Vliet;W. J. Niessen

  • Affiliations:

  • Dept. of Radiolagy and Medical Informatics, Erasmus MC, Rotterdam, The Netherlands and Imaging Science and Technology, Faculty of Applied Science, Delft University of Technology, Delft, The Nether ...;Dept. of Radiolagy and Medical Informatics, Erasmus MC, Rotterdam,The Netherlands;Dept. of Radiolagy and Medical Informatics, Erasmus MC, Rotterdam,The Netherlands;Dept. of Radiolagy and Medical Informatics, Erasmus MC, Rotterdam,The Netherlands;Dept. of Radiology, Erasmus MC, Rotterdam, The Netherlands;Imaging Science and Technology, Faculty of Applied Science, Delft University of Technology, Delft, The Netherlands;Dept. of Radiolagy and Medical Informatics, Erasmus MC, Rotterdam, The Netherlands

  • Venue:
  • ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
  • Year:
  • 2010

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Abstract

A reliable density estimate for the position of the coronary arteries in Computed Tomography (CT) data is beneficial for many coronary image processing applications, such as vessel tracking, lumen segmentations, and calcium scoring. This paper presents a method for obtaining an estimate of the coronary artery location in CT and CT angiography (CTA). The proposed method constructs a patient-specific coronary density estimate using CTA atlas registration. The method is evaluated by quantifying the overlap of the obtained density estimate with 24 manually annotated centrelines of the lumen. Furthermore, the method is quantitatively evaluated when applied in automatic calcium scoring of the coronary arteries, which is an important risk predictor of coronary artery disease. The obtained results were compared to manual annotations for 170 CT datasets.