JOURNAL ARTICLE

Non-rigid image registration for temporal subtraction of whole-body nuclear emission images

Raf ClaessensJohan NuytsSigrid StroobantsPatrick DupontFrederik Maes

Year: 2004 Journal:   2003 IEEE Nuclear Science Symposium. Conference Record (IEEE Cat. No.03CH37515) Pages: 3173-3175

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.

Keywords:
Imaging phantom Thresholding Pixel Deformation (meteorology) Rigid body Subtraction Computer science Image registration Artificial intelligence Computer vision Segmentation Mutual information Constraint (computer-aided design) Free-form deformation Algorithm Image (mathematics) Mathematics Geometry Physics Optics

Metrics

2
Cited By
0.67
FWCI (Field Weighted Citation Impact)
3
Refs
0.58
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Medical Imaging Techniques and Applications
Health Sciences →  Medicine →  Radiology, Nuclear Medicine and Imaging
Medical Image Segmentation Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced X-ray and CT Imaging
Physical Sciences →  Engineering →  Biomedical Engineering

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