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CT Comparative Study of the Reconstruction Algorithm

Author: KangXiaoYue
Tutor: WangMingQuan
School: University of North
Course: Signal and Information Processing
Keywords: CT Wavelet Transform Parallel beam filtered back projection Median filter
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 121
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Abstract


CT technology , the subject , as the object of study projection reconstruction algorithm , the to optimal reproduction reconstructed image target . CT images ( detected object ) to find the better reconstruction algorithm design . In this paper, Leyden (Radon) transform the principle of threshold noise reduction theory and the central slice theorem . According to the different methods of reconstruction purposes and reconstruction object reconstruction, and obtained the best combination of algorithm . Can be drawn through a comparative study of composite wavelet algorithm . This algorithm can accurately (ie small error ) , fast , and not sensitive to noise . When the projection data is not accurate , the algorithm can be relatively satisfied with the image . Study image reconstruction of a variety of algorithms , analysis of parallel beam filtered back projection algorithm and fan Redden transform using wavelet threshold decomposition , the median filter, mean filter analysis of their advantages of image reconstruction capability . Compared the effect of various image reconstruction algorithms , algorithm , and ultimately get the the ideal reconstruction algorithms . 2 . Simulation combining algorithms with parallel beam filtered back projection algorithm and fan Redden transform filtering based on wavelet transform , the wavelet transform has the characteristic of multi-resolution analysis , wavelet multi-scale analysis and control of the wavelet coefficients and combined with median filter MSE ( mean square error ) optimal performance characteristics and a combination of the two methods used for projection data noise reduction pretreatment . The results show that the improved image quality after noise reduction , the reconstructed image noise has been effectively suppressed . 3 emulation the the mean filtering projector based on wavelet transform with parallel beam filtered back projection algorithm and fan Redden transform combined algorithm , the combination of the two methods for projection data noise reduction pretreatment . The results show that the reconstructed image quality has been significantly improved noise reduction , the reconstructed image noise suppression . But the result is not entirely satisfactory reconstruction . Quantitative calculation of the various reconstruction algorithm to analyze the various noise adaptation in the CT image reconstruction algorithm , and carried out a comparative analysis of the results .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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