title: A strain energy filter for 3D vessel enhancement.
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.
authors.affiliation: Division of Image Processing, Department of Radiology, Leiden University Medical Center, P.O. Box 9600, 2300 RC, Leiden, The Netherlands.
authors.forename: Changyan
authors.initials: C
authors.lastname: Xiao
authors.forename: Marius
authors.initials: M
authors.lastname: Staring
authors.forename: Denis
authors.initials: D
authors.lastname: Shamonin
authors.forename: Johan H C
authors.initials: JH
authors.lastname: Reiber
authors.forename: Jan
authors.initials: J
authors.lastname: Stolk
authors.forename: Berend C
authors.initials: BC
authors.lastname: Stoel
mesh_terms: D000465:Algorithms; D000792:Angiography / Q000379:methods*; D054459:Elasticity Imaging Techniques / Q000379:methods*; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D011651:Pulmonary Artery / Q000000981:diagnostic imaging*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D014057:Tomography, X-Ray Computed / Q000379:methods*