A strain energy filter for 3D vessel enhancement

Authors:
Changyan Xiao;Marius Staring;Denis Shamonin;Johan H. C. Reiber;Jan Stolk;Berend C. Stoel
Affiliations:
Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands and College of Electrical and Information Engineering, Hunan University, China;Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands;Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands;Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands;Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands;Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
Venue:
MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part III
Year:
2010

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Abstract

The traditional Hessian-related vessel filters often suffer from the problem of handling non-cylindrical objects. To remedy the shortcoming, we present a shape-tuned strain energy density function to measure vessel likelihood in 3D images. Based on the tensor invariants and stress-strain principle in mechanics, a new shape discriminating and vessel strength measure function is formulated. The synthetical and clinical data experiments verify the performance of our method in enhancing complex vascular structures including branches, bifurcations, and feature details.