A strain energy filter for 3D vessel enhancement

Author(s):
Xiao, C.Y.; Staring, M.; Shamonin, D.; Reiber, J.H.C. (0000-0002-0387-6417); Stolk, J.; Stoel, B.C.
Published
2010
Publication type
Article / Letter to editor

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.

Date issued
2010-12-31
Language
English
Is part of
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention (2010), Vol. 13, no. Pt 3, p. 367-74
hdl
1887/119380
doi
10.1016/j.media.2010.08.003