Title: Non-rigid image registration for temporal subtraction of whole-body nuclear emission images
Authors: Claessens, R
Nuyts, Johan
Stroobants, S
Dupont, Patrick
Maes, Frederik #
Issue Date: 2004
Publisher: Ieee
Host Document: 2003 ieee nuclear science symposium, conference record, vols 1-5 pages:3173-3175
Conference: IEEE Nuclear Science Symposium/Medical Imaging Conference Portland, OR, OCT 19-25, 2003
Abstract: A non-rigid registration algorithm for application to whole-body emission images of the same patient is presented. Rigid registration is generally insufficient to properly register whole-body images, a certain amount of deformation needs to be applied to obtain a good correspondence. This deformation should not change the size or shape of lesions, bones and the general anatomy. In our approach, non-rigid registration is accomplished by a discrete numerical approach based on the maximisation of mutual information, and regularised by a weighted least squares deformation constraint. Maximisation of mutual information I is accomplished by a preconditioned iterative gradient ascend algorithm using an analytically exact expression for the gradient of I with respect to individual pixel displacements. Anatomy is taken in account by parameterising the constraint according to a simple thresholding segmentation so as to allow large deformations in air, small in soft tissue and no deformation in bone or lesion tissue. A pyramidal multi-resolution approach is used to speed up the registration process. The performance of the method was evaluated by registering deformed phantom images, initial tests on 2D whole-body clinical images also show promising results.
ISBN: 0-7803-8257-9
ISSN: 1082-3654
Publication status: published
KU Leuven publication type: IC
Appears in Collections:Laboratory for Cognitive Neurology
Nuclear Medicine & Molecular Imaging
ESAT - PSI, Processing Speech and Images
Research Group Experimental Neurology
# (joint) last author

Files in This Item:

There are no files associated with this item.

Request a copy


All items in Lirias are protected by copyright, with all rights reserved.

© Web of science