title: Combination warp-matching method for stereotactic neurosurgery.
abstract: Digital image warping is a growing branch of image processing that deals with geometric transformation techniques. A geometric transformation is an operating that redefines the spatial relationship between points in an image. Physically based modeling is a field strongly attracting research interest in recent years. A physically based model includes physical characteristics of things being modeled and specifies their behavior via mathematical equations. This paper presents a warp-matching method and a general non-rigid body representation suitable for physically based modeling of deformations of heterogeneous objects. The main aim is to develop a new heterogeneous warping technique to correct for distortion in medical data sets.
authors.affiliation: Faculty of Mathematics-Physics, Derer's Hospital, Bratislava, Slovakia.
authors.forename: E
authors.initials: E
authors.lastname: Ruzický
authors.forename: M
authors.initials: M
authors.lastname: Sramka
authors.forename: V
authors.initials: V
authors.lastname: Jankovic
mesh_terms: D006801:Humans; D008959:Models, Neurological; D009493:Neurosurgery; D013238:Stereotaxic Techniques