Segmentation and visualization of tubular structures in computed tomography angiography

Authors:
Tomasz Hachaj;Marek R. Ogiela
Affiliations:
Institute of Computer Science and Computer Methods, Pedagogical University of Krakow, Krakow, Poland;AGH University of Science and Technology, Krakow, Poland
Venue:
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part III
Year:
2012

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Abstract

The new contribution of this article is description of filtering algorithm for detecting tubular structures (veins /arteries) in three-dimensional images. An algorithm incorporate the Frangi's filtration with additional neighborhood analysis filter that eliminates local noises that often remains after that algorithm. The sensitivity of the method is steered by two algorithm's parameters that might be visualized in 3D plot. Changing of those parameters does not require recalculation of filtration results. Also the concepts of those parameters are more intuitive to the potential user then the three scalable eigenvalues - based Frangi's parameters. The whole solution was tested on real volumetric CTA data.