Real phantom datasets for the evaluation of reconstruction algorithms at various dose conditions
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Guohua Cao | Hengyong Yu | Ge Wang | Hao Gong | Chuang Miao | Hengyong Yu | Ge Wang | G. Cao | H. Gong | Chuang Miao
[1] L. Rudin,et al. Nonlinear total variation based noise removal algorithms , 1992 .
[2] K. Ogawa,et al. Image quality in the modified ordered subset-Bayesian reconstruction , 1999, 1999 IEEE Nuclear Science Symposium. Conference Record. 1999 Nuclear Science Symposium and Medical Imaging Conference (Cat. No.99CH37019).
[3] J. Boone,et al. Evaluation of the spatial resolution characteristics of a cone-beam breast CT scanner. , 2006, Medical physics.
[4] Hengyong Yu,et al. Compressed sensing based interior tomography , 2009, Physics in medicine and biology.
[5] Alvin C. Silva,et al. Iterative Reconstruction Technique for Reducing Body Radiation Dose at Ct: Feasibility Study Hara Et Al. Ct Iterative Reconstruction Technique Gastrointestinal Imaging Original Research , 2022 .
[6] M. Jiang,et al. High-order total variation minimization for interior tomography , 2010, Inverse problems.
[7] Xuanqin Mou,et al. Statistical Interior Tomography , 2010, IEEE Transactions on Medical Imaging.
[8] M. Kachelriess,et al. Improved total variation-based CT image reconstruction applied to clinical data , 2011, Physics in medicine and biology.
[9] Xin Jin,et al. Scout-view assisted interior micro-CT , 2013, Physics in medicine and biology.