Paper
6 March 2009 A new method of medical image fusion based on nonsubsampled contourlet transform
Xuebin Xu, Xinman Zhang, Deyun Zhang
Author Affiliations +
Abstract
To improve the normal medical image fusion algorithm in order to avoid the loss of the detailed information in the processes of medical image fusion, a multiscale medical image fusion method based on nonsubsampled contourlet transform(NSCT) is proposed in this paper. First, the source images(MRI and CT images) are decomposed by using nonsubsampled contourlet transform. Then, the details of contourlet coefficients are fused on each corresponding levels with a vision feature fusion operator. Finally, the fused image will be obtained by taking the inverse nonsubsampled contourlet transformation. The experimental results show that the effect of the nonsubsampled contourlet-based method is obviously improved, and the proposed method can effectively preserve the detailed information of the source images.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xuebin Xu, Xinman Zhang, and Deyun Zhang "A new method of medical image fusion based on nonsubsampled contourlet transform", Proc. SPIE 7280, Seventh International Conference on Photonics and Imaging in Biology and Medicine, 728027 (6 March 2009); https://doi.org/10.1117/12.821442
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KEYWORDS
Image fusion

Medical imaging

Magnetic resonance imaging

Computed tomography

Image processing

Visual process modeling

Wavelets

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