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