DocumentCode :
599033
Title :
A non-iterative registration method based on image transformation descriptors
Author :
Lubniewski, P.J. ; Miguel, Bruno ; Sarry, L. ; Lohou, Christophe
Author_Institution :
ISIT, Clermont Univ., Clermont-Ferrand, France
fYear :
2012
fDate :
16-18 Oct. 2012
Firstpage :
1176
Lastpage :
1180
Abstract :
In this article we present a novel method of the image registration based on the image transformation descriptors which are also introduced in this paper. The algorithm computes the registration parameters directly, on the contrary to the most known, iterative methods. It is fast and robust and therefore can be used as an initialization for the more accurate (but slower) algorithms. Our registration technique relies on the values obtained from appropriate transformation descriptions (image transformation descriptors, ITDs), computed from the geometric properties present on the images. It is also possible to adapt the process to a specific registration problem by providing custom descriptors, specific for a particular case. To prove the usability of the method, we have successfully tested it for registering 3D CT images with the angiography of thoracic aortas.
Keywords :
geometry; image registration; ITD; geometric properties; image registration; image transformation descriptors; noniterative registration method; registration parameters; thoracic aortas angiography; Angiography; Computed tomography; Image registration; Image segmentation; Iterative methods; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing (CISP), 2012 5th International Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4673-0965-3
Type :
conf
DOI :
10.1109/CISP.2012.6470007
Filename :
6470007
Link To Document :
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