DocumentCode :
2094561
Title :
Analysis of CT and MRI Image Fusion Using Wavelet Transform
Author :
Parmar, Kiran ; Kher, Rahul K. ; Thakkar, Falgun N.
Author_Institution :
EC Dept., G.H. Patel Coll. of Eng. & Tech, Vallabh Vidyanagar, India
fYear :
2012
fDate :
11-13 May 2012
Firstpage :
124
Lastpage :
127
Abstract :
Medical image fusion has been used to derive useful information from multimodality medical image data. The idea is to improve the image content by fusing images like computer tomography (CT) and magnetic resonance imaging (MRI) images, so as to provide more information to the doctor and clinical treatment planning system. This paper aims to demonstrate the application of wavelet transformation to multi-modality medical image fusion. This work covers the selection of wavelet function, the use of wavelet based fusion algorithms on medical image fusion of CT and MRI, implementation of fusion rules and the fusion image quality evaluation. The fusion performance is evaluated on the basis of the root mean square error (RMSE) and peak signal to noise ratio (PSNR).
Keywords :
biomedical MRI; computerised tomography; mean square error methods; medical image processing; sensor fusion; wavelet transforms; CT; MRI image fusion; clinical treatment planning system; computer tomography; fusion image quality evaluation; fusion rules; image content; magnetic resonance imaging; medical image fusion; multimodality medical image data; peak signal to noise ratio; root mean square error; wavelet based fusion algorithms; wavelet transform; Computed tomography; Image fusion; Magnetic resonance imaging; Medical diagnostic imaging; Wavelet transforms; Fusion rules; Medical image fusion; Multimodality images; Wavelet transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication Systems and Network Technologies (CSNT), 2012 International Conference on
Conference_Location :
Rajkot
Print_ISBN :
978-1-4673-1538-8
Type :
conf
DOI :
10.1109/CSNT.2012.36
Filename :
6200603
Link To Document :
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