Paper Info
Title
Image Registration for Distortion Correction in Diffusion Tensor Imaging
Abstract
In diffusion tensor imaging the calculation of functional information is limited by head movement and eddy current-induced image distortion. In this paper the application of image registration for distortion correction is investigated. In particular, a 3D affine and a dedicated transformation which is adapted to the type of distortion and the similarity measures mutual information and local correlation are compared to each other. The registration results are quantitatively evaluated by analyzing their consistency properties. Visual inspection shows that registration generally improves the quality of the functional information. The consistency tests reveal that both transformations provide similar registration results which is remarkable since the dedicated transformation does not take advantage of modeling of the underlying imaging physics. Furthermore, it is shown that local correlation similarity is an interesting alternative to mutual information. The registration of a DTI series with local correlation is more consistent and takes only about one minute for calculation.
Year
DOI
Venue
2003
10.1007/978-3-540-39701-4_18
BIOMEDICAL IMAGE REGISTRATION
Keywords
Field
DocType
mutual information,eddy current,image registration,visual inspection
Affine transformation,Computer vision,Visual inspection,Diffusion MRI,Distortion correction,Pattern recognition,Computer science,Correlation,Artificial intelligence,Mutual information,Distortion,Image registration
Conference
Volume
ISSN
Citations 
2717
0302-9743
3
PageRank 
References 
Authors
0.43
6
2
Name
Order
Citations
PageRank
Thomas Netsch19316.47
Arianne Van Muiswinkel2406.88