Fuzzy Smoothed Composition of Local Mapping Transformations for Non-rigid Image Registration

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This paper presents a novel method for medical image registration. The global transformation is obtained by composing affine transformations, which are recovered locally from given landmarks. Transformations of adjacent regions are smoothed to avoid blocking artifacts, so that a unique continuous and differentiable global function is obtained. Such composition is operated using a technique derived from fuzzy Cmeans clustering. The method was successfully tested on several datasets; results, both qualitative and quantitative, are shown. Comparisons with other methods are reported. Final considerations on the efficiency of the technique are explained.

Edoardo Ardizzone, Orazio Gambino, Roberto Gallea,

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Added	15 Jan 2010
Updated	15 Jan 2010
Type	Conference
Year	2009
Where	ICIAP
Authors	Edoardo Ardizzone, Orazio Gambino, Roberto Gallea, Roberto Pirrone

@inproceedings{1618182,
author = {Ardizzone, Edoardo and Gallea, Roberto and Gambino, Orazio and Pirrone, Roberto},
title = {Fuzzy Smoothed Composition of Local Mapping Transformations for Non-rigid Image Registration},
booktitle = {ICIAP '09: Proceedings of the 15th International Conference on Image Analysis and Processing},
year = {2009},
isbn = {978-3-642-04145-7},
pages = {777--786},
location = {Vietri sul Mare, Italy},
doi = {http://dx.doi.org/10.1007/978-3-642-04146-4_83},
publisher = {Springer-Verlag},
address = {Berlin, Heidelberg}
}

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Fuzzy Smoothed Composition of Local Mapping Transformations for Non-rigid Image Registration

Free Form Deformation | Function Interpolation | Fuzzy Clustering | Image Registration |

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