Research on Multi-Mode Medical Image Fusion Algorithm Based on Wavelet Transform and the Edge Characteristics of Images

This article presents a wavelet transformation based multi-mode medical image fusion algorithm which combined with the edge characteristics of sub-image, making wavelet transformation on multi-source medical image to be integrated firstly, and then set up appropriate fusion operator to make integrat...

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Bibliographic Details
Main Authors: Xiaoqing Zhang, Yongguo Zheng, Yanjun Peng, Weike Liu, Changqiang Yang
Format: Conference Proceeding
Language:English
Subjects:
Arithmetic
Biomedical imaging
Computed tomography
Humans
Image fusion
Image reconstruction
Magnetic resonance imaging
Medical diagnostic imaging
Positron emission tomography
Wavelet transforms
Online Access:Request full text
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Summary:This article presents a wavelet transformation based multi-mode medical image fusion algorithm which combined with the edge characteristics of sub-image, making wavelet transformation on multi-source medical image to be integrated firstly, and then set up appropriate fusion operator to make integration according to edge feature of sub-images transformed and human eyes' different sensitivity on images in HVS, and reconstruct fusion image through inverse transformation at last. Tested by the integration experiment on brain MRI-PET images, it is proved that this method can combine anatomical information and functional information together more effectively, and retain the edge characteristics of original image better.
DOI:10.1109/CISP.2009.5304483