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Proceedings Paper

Medical image fusion based on non-negative matrix factorization
Author(s): Daoming Zhang; Xianda Zhang
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Paper Abstract

Medical image fusion is a process of obtaining a new composite image from two or more source images which are from different modalities. In this paper, we proposed a novel medical image fusion scheme based on the non-negative matrix factorization (NMF) algorithm, the only resulted basis image is just the fused image. Since the CT and MRI images have a lot of pixels which are zeros, the NMF algorithm can not be employed directly. To overcome this difficulty, we first add a positive bias to the original data matrix and remove the bias from the resulted fusion image after the NMF procedure. The experiment results show that the proposed approach outperforms the existing wavelet-based methods and Laplacian pyramid-based methods.

Paper Details

Date Published: 30 October 2009
PDF: 5 pages
Proc. SPIE 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 74971Y (30 October 2009); doi: 10.1117/12.833956
Show Author Affiliations
Daoming Zhang, Tsinghua Univ. (China)
Tsinghua National Lab. for Information Science and Technology (China)
Xianda Zhang, Tsinghua Univ. (China)
Tsinghua National Lab. for Information Science and Technology (China)


Published in SPIE Proceedings Vol. 7497:
MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques
Faxiong Zhang; Faxiong Zhang, Editor(s)

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