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《Acta Simulata Systematica Sinica》 2005-09
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Relativity Interpolation of 3-D Medical Images Based on Corresponding Points

YIN Xue-song,QI You-ju,CHEN Xiao-dong,GONG Xiang-guo(Department of Computer Science and Technology,Zhejiang Radio &Television University,Hangzhou 310012,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,a relativity interpolation algorithm of 3D medical images is introduced based on corresponding points.Firstly,the original images were segmented several regions by the threshold segmentation and the segmentation value of voxels could be obtained.Secondly,relativity-based interpolation was used to obtain the data in the same density matter,and the size of area was scaled as the interpolation data in the different density matter.The new image basically satisfies the requirements of medical image interpolation.Compared with linear interpolation,the proposed algorithm 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.
【Fund】: 浙江省高校青年教师资助项目(520303)
【CateGory Index】: TP391.41
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