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《Computer Applications》 2004-05
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Interpolation of 3D Medical Images Based on Relativity

ZHANG Wei,YIN Xue-song,WU Guo-hua (Institute of VR and Multimedia,Hangzhou Institute of Electronics Engineering,Hangzhou Zhejiang 310018,China)  
In the case of medical image interpolation for 3D volume models,present methods either lack the capability of interpolating gray levels and shapes at the same time,or need higher computation cost. In order to solve the problem,this paper introduces a relativity-based 3D medical image interpolation algorithm. Firstly,the algorithm segments the original images with the threshold segmentation and obtains the segmentation value of voxels. Secondly,the algorithm uses gray-based interpolation in the same density matter,and makes use of the voxel relativity to interpolate image in the different density matter. The new image basically meets the requirements of medical image interpolation. Compared with linear interpolation,the algorithm proposed here greatly improves the quality of image. Moreover,the new algorithm has much lower computation cost compared with wavelet-based interpolation. The interpolation can be effectively used to construct 3D volume models.
【CateGory Index】: TP391.41
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