Morphological tubular extraction applied to coronary artery reconstruction in CT-images

Authors:
M. A. Luengo-Oroz;M. J. Ledesma-Carbayo;J. J. Gómez-Diego;M. A. García-Fernandez;M. Desco;A. Santos
Affiliations:
Biomedical Image Technologies lab., ETSIT, Universidad Politécnica de Madrid, Madrid, Spain;Biomedical Image Technologies lab., ETSIT, Universidad Politécnica de Madrid, Madrid, Spain;Hospital General Universitario Gregorio Marañón, Madrid, Spain;Hospital General Universitario Gregorio Marañón, Madrid, Spain;Hospital General Universitario Gregorio Marañón, Madrid, Spain;Biomedical Image Technologies lab., ETSIT, Universidad Politécnica de Madrid, Madrid, Spain
Venue:
BIEN '07 Proceedings of the fifth IASTED International Conference: biomedical engineering
Year:
2007

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Abstract

This paper presents an algorithm devoted to the reconstruction of the coronary tree from Cardiac Multislice CT data sets. Quantitative measurement of this segmentation may help the diagnosis and treatment of ischemic heart disease. The algorithm is based on morphological grayscale reconstruction through 2D slice images and overall 3D segmentation of the coronary artery tree. The method has been validated in 9 CT-datasets with satisfactory results.