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14th International Conference on Image Analysis and Processing (ICIAP 2007)
Multi-modal non-rigid registration of medical images based on mutual information maximization
Modena, Italy
September 10-September 14
ISBN: 0-7695-2877-5
ASCII Text
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Edoardo Ardizzone, Orazio Gambino, Marco La Cascia, Liliana Lo Presti, Roberto Pirrone, "Multi-modal non-rigid registration of medical images based on mutual information maximization," Image Analysis and Processing, International Conference on, pp. 743-750, 14th International Conference on Image Analysis and Processing (ICIAP 2007), 2007.
 
 
BibTex
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@article{ 10.1109/ICIAP.2007.90,
author = {Edoardo Ardizzone and Orazio Gambino and Marco La Cascia and Liliana Lo Presti and Roberto Pirrone},
title = {Multi-modal non-rigid registration of medical images based on mutual information maximization},
journal ={Image Analysis and Processing, International Conference on},
volume = {0},
year = {2007},
isbn = {0-7695-2877-5},
pages = {743-750},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICIAP.2007.90},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Image Analysis and Processing, International Conference on
TI - Multi-modal non-rigid registration of medical images based on mutual information maximization
SN - 0-7695-2877-5
SP743
EP750
A1 - Edoardo Ardizzone,
A1 - Orazio Gambino,
A1 - Marco La Cascia,
A1 - Liliana Lo Presti,
A1 - Roberto Pirrone,
PY - 2007
KW - null
VL - 0
JA - Image Analysis and Processing, International Conference on
ER -
 
Edoardo Ardizzone, Universita di Palermo, Italy
Orazio Gambino, Universita di Palermo, Italy
Marco La Cascia, Universita di Palermo, Italy
Liliana Lo Presti, Universita di Palermo, Italy
Roberto Pirrone, Universita di Palermo, Italy
In this paper, a new multi-modal non-rigid registration technique for medical images is presented. Firstly, the registration problem is outlined and some of the most common approaches reported, then, the proposed algorithm is presented. The proposed technique is based on mutual information maximization and computes a deformation field through a suitable globally smoothed affine piecewise transformation. The algorithm has been conceived with particular attention to computational load and accuracy of results. Experimental results involving intra-patient, inter-patients and atlas images on brain CT and MR (T1, T2 and PD modalities) are reported.
Citation:
Edoardo Ardizzone, Orazio Gambino, Marco La Cascia, Liliana Lo Presti, Roberto Pirrone, "Multi-modal non-rigid registration of medical images based on mutual information maximization," iciap, pp.743-750, 14th International Conference on Image Analysis and Processing (ICIAP 2007), 2007
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