NDLI: Medical Image Fusion Based on Wavelet Transform and Independent Component Analysis

Content Provider	IEEE Xplore Digital Library
Author	Zhiming Cui Guangming Zhang Jian Wu
Copyright Year	2009
Abstract	By analyzing the characters of CT medical image, this paper proposes a novel method for this particular image fusion, which is using discrete wavelet transform and independent component analysis. Firstly, each of CT images were decomposed by 2-D discrete wavelet transform. Then independent component analysis were used to analyse the wavelet coefficients in different level for acquiring independent component. At last, we use wavelet reconstruction to synthesize one CT medical image which could contain more integrated accurate detail information of different soft tissue such as muscles and blood vessels. By contrast, the efficiency of our method is better than weighted average, laplacian pyramid method in medical image fusion field.
Starting Page	480
Ending Page	483
File Size	405238
Page Count	4
File Format	PDF
ISBN	9780769536156
DOI	10.1109/JCAI.2009.169
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-04-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet transforms Independent component analysis CT medical image wavelet transform Wavelet analysis Discrete wavelet transforms Image reconstruction Wavelet coefficients fusion Image analysis independent component analysis Computed tomography Image fusion Biomedical imaging
Content Type	Text
Resource Type	Article

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