DocumentCode :
1654592
Title :
Multi-modal Medical Image Fusion Based On Wavelet Transform And Texture Measure
Author :
Yuanyuan, Kang ; Bin, Li ; Lianfang, Tian ; Zongyuan, Mao
Author_Institution :
South China Univ. of Technol., Guangzhou
fYear :
2007
Firstpage :
697
Lastpage :
700
Abstract :
Multi-modal medical image fusion has important value in medical diagnosis. In this paper, the multi-resolution analysis of biorthogonal wavelet transform is introduced for CT and PET image fusion, then a new fusion algorithm with the combination of local standard deviation and energy as texture measurement is presented. Experiments show that both anatomical and metabolism information can be obtained effectively, and both the edge and texture features can be reserved successfully.
Keywords :
image fusion; image resolution; image texture; medical image processing; wavelet transforms; CT; PET image fusion; biorthogonal wavelet transform; medical diagnosis; multi-modal medical image fusion; multi-resolution analysis; texture measure; Algorithm design and analysis; Biomedical imaging; Computed tomography; Image analysis; Image fusion; Image texture analysis; Medical diagnosis; Medical diagnostic imaging; Wavelet analysis; Wavelet transforms; Biorthogonal Wavelet; Linear Phase; Local Energy; Local Standard Deviation; Texture Feature;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference, 2007. CCC 2007. Chinese
Conference_Location :
Hunan
Print_ISBN :
978-7-81124-055-9
Electronic_ISBN :
978-7-900719-22-5
Type :
conf
DOI :
10.1109/CHICC.2006.4347479
Filename :
4347479
Link To Document :
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