Wavelet based Approach for Fusing Computed Tomography and Magnetic Resonance Images
The multimodality medical image fusion plays an important role in clinical applications which can support more accurate information for physicians to diagnose diseases. In this paper, a new fusion scheme for computed tomography and magnetic resonance images based on wavelet analysis is proposed. After the images are decomposed by wavelet transform, the low frequency coefficients are performed with the maximal absolute values followed by verifying their consistency, and the high frequency coefficients are selected by a maximal local variance rule. The resultant image is then reconstructed by using the inverse wavelet transform with the combined wavelet coefficients. The performance of our method is qualitatively and quantitatively compared with some existing fusion approaches. Experimental results show that the proposed method can preserve more useful information and with higher spatial resolution.
Multimodality Image Medical Image Fusion Wavelet Analysis
Yong Yang Dong Sun Park Shuying Huang Zhijun Fang Zhengyou Wang
School of Information Technology, Jiangxi University of Finance and Economics, Nanchang 330013 Divis Division of Electronics & Information Engineering, Chonbuk National University, Jeonju, Jeonbuk, 561 School of Electronics, Jiangxi University of Finance and Economics, Nanchang 330013 School of Information Technology, Jiangxi University of Finance and Economics, Nanchang 330013
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
5770-5774
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）