Multimodality medical image fusion using non-subsampled rotated wavelet transform for cancer treatment
by Satishkumar S. Chavan; Abhijit Pawar; Sanjay N. Talbar
International Journal of Computational Systems Engineering (IJCSYSE), Vol. 4, No. 2/3, 2018

Abstract: This paper presents non-subsampled rotated wavelet transform based feature extraction approach to multimodality medical image fusion. The non-subsampled rotated wavelet filters are designed to extract textural and edge features from axial brain images from the modalities viz. computed tomography and magnetic resonance imaging. These extracted features are selected using entropy-based fusion rule to form composite spectral plane. Entropy-based fusion rule preserves dominant spectral features and imparts all relevant information from both the modalities to the fused image. The fused image is reconstructed using inverse transform from the composite spectral slice. The proposed algorithm is evaluated using 39 sets of pilot images of 23 patients subjectively and objectively. Three expert radiologists have verified the subjective quality of the fused images to ascertain abnormality. Subjective and objective evaluation reveal that the fused images using proposed algorithm are superior in terms of visualisation of abnormalities over the state of the art wavelet based algorithms.

Online publication date: Mon, 30-Apr-2018

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computational Systems Engineering (IJCSYSE):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email