Multimodal medical image fusion in nonsubsampled contourlet transform domain

Author

Aili Wang ; ChangYan Qi ; Jingwei Dong ; Shaoliang Meng ; Dongming Li

Author_Institution

Higher Educ. Key Lab. for Meas. & Control Technol. & Instrumentations of Heilongjiang, Harbin Univ. of Sci. & Technol., Harbin, China

Volume

01

fYear

2013

fDate

16-18 Aug. 2013

Firstpage

169

Lastpage

172

Abstract

This paper proposed a novel medical image fusion algorithm based on nonsubsampled contourlet transform (NSCT). Firstly, CT image and MRI image are decomposed into high and low frequency subband by NSCT. For selection of fusion rules, the coefficients of low frequency subband are fused by local entropy, and fusion criterion for the coefficients of high frequency subband is regional energy. The performance of the proposed framework is evaluated by various quantitative measures. Visual and quantitative analysis and comparisons of the proposed algorithm with the existing fusion methods show the effectiveness of the proposed scheme in the application of medical image fusion.

Keywords

biomedical MRI; computerised tomography; entropy; image fusion; medical image processing; transforms; CT image decomposition; MRI image decomposition; NSCT; fusion criterion; fusion rule selection; high-frequency subband coefficients; local entropy; low-frequency subband coefficients; multimodal medical image fusion; nonsubsampled contourlet transform domain; performance evaluation; quantitative analysis; quantitative measures; regional energy; visual analysis; Biomedical imaging; medical image fusion; multimodal images; nonsubsampled contourlet transform(NSCT);

fLanguage

English

Publisher

ieee

Conference_Titel

Measurement, Information and Control (ICMIC), 2013 International Conference on

Conference_Location

Harbin

Print_ISBN

978-1-4799-1390-9

Type

conf

DOI

10.1109/MIC.2013.6757939

Filename

6757939