Brain blood vessel map extraction using wavelet-based DSA fusion

Author

Momeni, Sh ; Pourghassem, H.

Author_Institution

Dept. of Electr. Eng., Islamic Azad Univ., Isfahan, Iran

fYear

2013

Firstpage

414

Lastpage

418

Abstract

Recently image fusion has prominent and applicable roles in medical image processing. Digital subtraction angiography (DSA) image is applied to display map of blood vessels. In this paper, a new fusion algorithm for DSA serial images based on discrete wavelet transform coefficients is proposed. Our algorithm will be compared for different wavelet transforms and activity criteria for high frequency coefficients. The comparisons are based on the objective evaluation criteria which show measure of noise existence, sharpness and correlation between the fusion result and reference image. Finally, we specify which type of wavelet transform and activity criterion results more informative brain blood vessel map.

Keywords

blood vessels; diagnostic radiography; discrete wavelet transforms; feature extraction; image fusion; medical image processing; DSA serial images; activity criteria; brain blood vessel map extraction; digital subtraction angiography; discrete wavelet transform coefficients; fusion algorithm; high frequency coefficients; image fusion; medical image processing; objective evaluation criteria; wavelet-based DSA fusion; Biomedical imaging; Blood vessels; Discrete wavelet transforms; Image fusion; Multiresolution analysis; blood vessel map; digital subtraction angiography; fusion; wavelet transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Vision and Image Processing (MVIP), 2013 8th Iranian Conference on

Conference_Location

Zanjan

ISSN

2166-6776

Print_ISBN

978-1-4673-6182-8

Type

conf

DOI

10.1109/IranianMVIP.2013.6780021

Filename

6780021