Abstract
A common assumption in medical image registration is that the estimation of a globally continuous deformation field is plausible in reality. However, a sliding behavior of adjacent organ boundaries (e.g. lung and ribcage) cannot be described in a plausible way by a continuous deformation field. In this paper, we address this issue with a novel registration framework that explicitly models sliding of interfaces and can preserve discontinuities in the deformation field along predefined organ boundaries. Incorporated methods involve constrained nonlinear registration and a finite element discretization on unstructured tetrahedral meshes. Evaluation is based on the freely available DIR-Lab datasets.
| Originalsprache | Englisch |
|---|---|
| Titel | Bildverarbeitung für die Medizin 2015 |
| Herausgeber (Verlag) | Springer Vieweg, Wiesbaden |
| Erscheinungsdatum | 01.01.2015 |
| Publikationsstatus | Veröffentlicht - 01.01.2015 |
UN SDGs
Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung
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SDG 9 – Industrie, Innovation und Infrastruktur
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