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《Computer Simulation》 2011-02
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Fast Medical Image Interpolation Algorithm's Design and Realization

MENG Qi-wen1,2,ZHAO Wei-dong1,2,WANG Zhi-cheng1,2(1.The Engineering Research Center for Enterprise Digital Technology,Ministry of Education,Tongji University,Shanghai 200092,China;2.Research Center of CAD,Tongji University,Shanghai 201804,China)  
Interpolation algorithm can solve the three dimensional reconstruction problem of medical image that makes the reconstructed edges rough and ladder like,but traditional algorithm costs large amount of computation,especially for medical sequence images whose image is very large.Therefore,it has not been widely adopted in the medical image three dimension reconstruction fields.To solve the problem,an improved interpolation method based on distance transform is presented in this paper.According to the similarity information of images,the algorithm greatly reduces the number of pixels needed to be calculated.Meanwhile,using a fast distance calculation method to avoid multiplication and evolution calculation,the algorithm efficiency is obviously improved.The improved algorithm makes the edge of the interpolation images clear and transit smoothly in medical sequence images,and reduces by 60% time costing compared with traditional algorithm.Results show that the improved algorithm effectively solves the efficiency problem of the traditional algorithm and has a wide application.
【CateGory Index】: TP391.41
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