Landmark constrained non-parametric image registration with isotropic tolerances

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Item Type:	Article
Title:	Landmark constrained non-parametric image registration with isotropic tolerances
Creators Name:	Papenberg, N., Olesch, J., Lange, T., Schlag, P.M. and Fischer, B.
Abstract:	The incorporation of additional user knowledge into a nonrigid registration process is a promising topic in modern registration schemes. The combination of intensity based registration and some interactively chosen landmark pairs is a major approach in this direction. There exist different possibilities to incorporate landmark pairs into a variational non-parametric registration framework. As the interactive localization of point landmarks is always prone to errors, a demand for precise landmark matching is bound to fail. Here, the treatment of the distances of corresponding landmarks as penalties within a constrained optimization problem offers the possibility to control the quality of the matching of each landmark pair individually. More precisely, we introduce inequality constraints, which allow for a sphere-like tolerance around each landmark. We illustrate the performance of this new approach for artificial 2D images as well as for the challenging registration of preoperative CT data to intra-operative 3D ultrasound data of the liver.
Source:	Informatik aktuell
Title of Book:	Bildverarbeitung für die Medizin 2009
ISSN:	1431-472X
ISBN:	978-3-540-93859-0
Publisher:	Springer
Page Range:	122-126
Date:	2009
Official Publication:	https://doi.org/10.1007/978-3-540-93860-6_25

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