Abstract
A novel algorithm for the multimodalities medical images fusion based on wavelet transform has been proposed and implemented. The autoadaptive weighted coefficients have been calculated recursively to maximize the mutual information between the source image and the result image. Adopting multi-resolution analysis of wavelet transform, we achieved the MRI and CT image fusion. In addition, the new algorithm has been extended to MRI and color image fusion. The experiment results demonstrate that the new algorithm with wavelet transform have better fusion results compared with other mutual information fusion schemes without wavelet transform.
The work was supported by both the Macao Science and Technology Development Fund (No. 001/2005/A) and the National Natural Science Foundation of China (No. 30470487).
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© 2006 Birkhäuser Verlag Basel/Switzerland
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Li, X., Tian, X., Sun, Y., Tang, Z. (2006). Medical Image Fusion by Multi-resolution Analysis of Wavelets Transform. In: Qian, T., Vai, M.I., Xu, Y. (eds) Wavelet Analysis and Applications. Applied and Numerical Harmonic Analysis. Birkhäuser Basel. https://doi.org/10.1007/978-3-7643-7778-6_27
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DOI: https://doi.org/10.1007/978-3-7643-7778-6_27
Publisher Name: Birkhäuser Basel
Print ISBN: 978-3-7643-7777-9
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