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A WAVELET-BASED INTERPOLATION OF MEDICAL IMAGES

HUANG Hai Yun 1 QI Fei Hu 1 CHEN Jian 1 YAO Zhi Hong 2 1 (Department of Computer Science & Engineering, Shanghai Jiaotong University, Shanghai 200030) 2 (Computer Center, Rui Jin Hospital, Shanghai No.2 Medical University, Shanghai 200025)  
In the case of medical image interpolation for 3D volume models, present methods lack the capability of interpolating gray levels and shapes at the same time. In order to solve the problem, the paper introduces a wavelet based medical image interpolation algorithm. Firstly, the algorithm decomposes the original images with wavelet analysis and obtains the positions of wavelet coefficients that belong to the edges. Then, the algorithm interpolates intensities and positions of those wavelet coefficients between corresponding wavelet sub images. So that the new image basically satisfies the requirements of medical image interpolation. Compared with linear interpolation and Kriging interpolation, the new algorithm has a good visual effect and the squared error is small. The interpolation can be effectively used to construct 3D volume models.
【Fund】: 卫生部 B类研究项目“人工膝关节置换虚拟手术”(98-2 -3 1 5 );; 国家自然科学基金(60 0 72 0 2 9)资助
【CateGory Index】: TP391.4
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