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"Nonrigid Registration Using a Rigidity Constraint"

Marius Staring, Stefan Klein and Josien P.W. Pluim

Abstract

Nonrigid registration is a technique commonly used in the field of medical imaging. A drawback of most current nonrigid registration algorithms is that they model all tissue as being nonrigid. When a nonrigid registration is performed, the rigid objects in the image, such as bony structures or surgical instruments, may also transform nonrigidly. Other consequences are that tumour growth between follow-up images may be concealed, or that structures containing contrast material in one image and not in the other may be compressed by the registration algorithm.
In this paper we propose a novel regularisation term, which is added to the cost function in order to penalise nonrigid deformations of rigid objects. This regularisation term can be used for any representation of the deformation field capable of modelling locally rigid deformations. By using a B-spline representation of the deformation field, a fast algorithm can be devised. We show on 2D synthetic data, on clinical CT slices, and on clinical DSA images, that the proposed rigidity constraint is successful, thus improving registration results.

 

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Copyright © 2006 by the authors. Published version © 2006 by SPIE. Personal use of this material is permitted. However, permission to reprint or republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works, must be obtained from the copyright holder.

 

BibTeX entry

@inproceedings{Staring:2006,
author = "{Marius Staring and Stefan Klein and Josien P.W. Pluim}",
title = "{Nonrigid Registration Using a Rigidity Constraint}",
booktitle = "{SPIE Medical Imaging: Image Processing}",
editor = "{J.M. Reinhardt and J.P.W. Pluim}",
address = "{San Diego, CA, USA}",
series = "{Proceedings of SPIE}",
volume = "{6144}",
pages = "{355 - 364}",
month = "{February}",
year = "{2006}",
}

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