Adaptive fusion algorithm of CT and MRI medical images based on NSCT

Author

Wenzhan Dai ; Libo Tan ; Aiping Yang

Author_Institution

Inst. of Autom. Control, Zhejiang Sci-Tech Univ., Hangzhou, China

fYear

2013

fDate

25-27 May 2013

Firstpage

3797

Lastpage

3801

Abstract

An adaptive fusion algorithm of CT and MRI medical images based on NSCT is presented in this paper. The source images are decomposed in a multi-direction way by using the nonsubsampled pyramids (NSP) and the nonsubsampled directional filter banks (NSDFBs). In band-pass directional sub-band coefficients fusion rules, we use local energy and the weighted average combination, meanwhile for the larger selection of absolute value of the coefficient are applied in the highest levels . The combination of the adjustable parameter and objective evaluation index of the adaptive fusion rules are used in low frequency sub-band fusion.The experiment verifies the feasibility of the method in terms of visual quality and objective evaluation criteria, entropy, standard deviation, space-frequency and mutual-information etc.

Keywords

biomedical MRI; channel bank filters; computerised tomography; entropy; image fusion; image sampling; medical image processing; CT; MRI; NSCT; NSP; adaptive fusion algorithm; adjustable parameter; band pass directional sub-band coefficients fusion rule; entropy; image decomposition; medical image processing; mutual information; nonsubsampled directional filter bank; nonsubsampled pyramid; objective evaluation index; space frequency; standard deviation; visual quality; Biomedical imaging; Computed tomography; Economics; Educational institutions; Finance; Image fusion; Magnetic resonance imaging; CT and MRI medical image; NSCT; adaptive fusion algorithm; image fusion;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference (CCDC), 2013 25th Chinese

Conference_Location

Guiyang

Print_ISBN

978-1-4673-5533-9

Type

conf

DOI

10.1109/CCDC.2013.6561610

Filename

6561610