Combination warp-matching method for stereotactic neurosurgery
| Autor: | Vojtech Jankovič, Miron Šramka, Eugen Ružický |
|---|---|
| Rok vydání: | 1996 |
| Předmět: |
medicine.medical_specialty
Matching (graph theory) Computer science business.industry Distortion (optics) Geometric transformation Models Neurological ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Neurosurgery Image processing Field (computer science) Image (mathematics) Stereotaxic Techniques Digital image medicine Humans Surgery Medical physics Computer vision Neurology (clinical) Artificial intelligence Image warping business |
| Zdroj: | Stereotactic and functional neurosurgery. 66(1-3) |
| ISSN: | 1011-6125 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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