DTCWT Based Multimodal Medical Image Fusion

Getting clinical information from fusion of multimodal medical images is a challenging and emerging area of research from last decade. Wide range of applications of medical image fusion proves its importance in diagnosing diseases and surgical planning. This paper presents a method for multimodal medical image fusion based on Dual Tree Complex Wavelet Transform (DTCWT). Shift invariance, better directionality and availability of phase information in complex wavelet coefficients provide improved fusion results than the fusion methods based on Discrete Wavelet Transform (DWT). Quantitative analysis of fusion results also proved that DTCWT based fusion results is better than DWT based methods. KeywordsMedical imaging, Wavelet transform, Dual Tree Complex Wavelet Transform, Multimodal medical image fusion.

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