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Simulation of sparse views CT image iterative reconstruction based on defective projection data / 医疗卫生装备
Chinese Medical Equipment Journal ; (6): 29-31,37, 2017.
Article in Chinese | WPRIM | ID: wpr-607991
ABSTRACT
Objective To reconstruct sparse views CT image based on defective projection data.Methods The position of bad bins in detector determined whether the linear interpolation was applied to the defective projection data.Moreover,reconstruction of air pixels in CT image was achieved rapidly and accurately.Results he experimental results showed that the proposed method could solve the problem from classical ART-TV method that the robustness was unstable due to the different positions of bad bin in CT detector.Conclusion Compared to analytical reconstruction methods,iterative methods can solve the reconstruction problems in this modality so that the radiologist is facilitated to perform image processing and quantitative analysis.

Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Medical Equipment Journal Year: 2017 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Medical Equipment Journal Year: 2017 Type: Article