Statistical image-based material decomposition for triple-energy computed tomography using total variation regularization.
暂无分享,去创建一个
Jing Wang | Xiaokun Huang | You Zhang | Shanzhou Niu | Shaohui Lu | Yuncheng Zhong | Gaohang Yu | Gaohang Yu | Jing Wang | S. Niu | You Zhang | Shaohui Lu | Y. Zhong | Xiaokun Huang
[1] Hengyong Yu,et al. Improved Material Decomposition With a Two-Step Regularization for Spectral CT , 2019, IEEE Access.
[2] Jianhua Ma,et al. Total image constrained diffusion tensor for spectral computed tomography reconstruction , 2019, Applied Mathematical Modelling.
[3] Peng Zhang,et al. Accurate Iterative FBP Reconstruction Method for Material Decomposition of Dual Energy CT , 2019, IEEE Transactions on Medical Imaging.
[4] Zhaoying Bian,et al. Optimizing a Parameterized Plug-and-Play ADMM for Iterative Low-Dose CT Reconstruction , 2019, IEEE Transactions on Medical Imaging.
[5] Zhaoying Bian,et al. Multi-energy computed tomography reconstruction using a nonlocal spectral similarity model , 2019, Physics in medicine and biology.
[6] Shaohui Lu,et al. Iterative reconstruction for photon-counting CT using prior image constrained total generalized variation , 2018, Comput. Biol. Medicine.
[7] Qian Wang,et al. Low-dose spectral CT reconstruction using image gradient ℓ 0-norm and tensor dictionary. , 2018, Applied mathematical modelling.
[8] Cynthia H McCollough,et al. Material decomposition with prior knowledge aware iterative denoising (MD-PKAID) , 2018, Physics in medicine and biology.
[9] Amir Pourmorteza,et al. Photon-counting CT: Technical Principles and Clinical Prospects. , 2018, Radiology.
[10] Qian Wang,et al. Spatial-Spectral Cube Matching Frame for Spectral CT Reconstruction. , 2018, Inverse problems.
[11] Lei Xing,et al. A unified material decomposition framework for quantitative dual‐ and triple‐energy CT imaging , 2018, Medical physics.
[12] Eiichi Sato,et al. Triple-energy high-count-rate X-ray computed tomography scanner using a cadmium telluride detector , 2018 .
[13] Gaohang Yu,et al. Nonlocal low-rank and sparse matrix decomposition for spectral CT reconstruction , 2018, Inverse problems.
[14] Steve B. Jiang,et al. Intelligent Parameter Tuning in Optimization-Based Iterative CT Reconstruction via Deep Reinforcement Learning , 2017, IEEE Transactions on Medical Imaging.
[15] Bin Yan,et al. Projection decomposition algorithm for dual-energy computed tomography via deep neural network. , 2018, Journal of X-ray science and technology.
[16] L. Xing,et al. Material Decomposition Using Triple-Energy CT for Accurate Proton Therapy Dose Calculation , 2017 .
[17] Simon Rit,et al. Regularization of nonlinear decomposition of spectral x‐ray projection images , 2017, Medical physics.
[18] Jianhua Ma,et al. Iterative reconstruction for dual energy CT with an average image-induced nonlocal means regularization , 2017, Physics in medicine and biology.
[19] T. Niu,et al. Statistical image‐domain multimaterial decomposition for dual‐energy CT , 2017, Medical physics.
[20] Zhaoying Bian,et al. Iterative reconstruction for sparse-view x-ray CT using alpha-divergence constrained total generalized variation minimization. , 2017, Journal of X-ray science and technology.
[21] Jing Huang,et al. Penalized weighted least-squares approach for multienergy computed tomography image reconstruction via structure tensor total variation regularization , 2016, Comput. Medical Imaging Graph..
[22] D. Sahani,et al. Material Separation Using Dual-Energy CT: Current and Emerging Applications. , 2016, Radiographics : a review publication of the Radiological Society of North America, Inc.
[23] Xiaoqun Zhang,et al. TICMR: Total Image Constrained Material Reconstruction via Nonlocal Total Variation Regularization for Spectral CT , 2016, IEEE Transactions on Medical Imaging.
[24] Lei Zhu,et al. Noise suppression for dual-energy CT via penalized weighted least-square optimization with similarity-based regularization. , 2016, Medical physics.
[25] Jing Huang,et al. Spectral CT Image Restoration via an Average Image-Induced Nonlocal Means Filter , 2016, IEEE Transactions on Biomedical Engineering.
[26] L. Xing,et al. Using edge-preserving algorithm with non-local mean for significantly improved image-domain material decomposition in dual-energy CT , 2016, Physics in medicine and biology.
[27] Xiaochuan Pan,et al. An algorithm for constrained one-step inversion of spectral CT data , 2015, Physics in medicine and biology.
[28] C. McCollough,et al. Dual- and Multi-Energy CT: Principles, Technical Approaches, and Clinical Applications. , 2015, Radiology.
[29] Lei Zhu,et al. Combined iterative reconstruction and image-domain decomposition for dual energy CT using total-variation regularization. , 2014, Medical physics.
[30] Jeffrey A. Fessler,et al. Multi-Material Decomposition Using Statistical Image Reconstruction for Spectral CT , 2014, IEEE Transactions on Medical Imaging.
[31] Andrew M Hernandez,et al. Tungsten anode spectral model using interpolating cubic splines: unfiltered x-ray spectra from 20 kV to 640 kV. , 2014, Medical physics.
[32] Lei Zhu,et al. Iterative image-domain decomposition for dual-energy CT. , 2014, Medical physics.
[33] Armando Manduca,et al. Adaptive nonlocal means filtering based on local noise level for CT denoising. , 2013, Medical physics.
[34] Paulo R. S. Mendonça,et al. A Flexible Method for Multi-Material Decomposition of Dual-Energy CT Images , 2014, IEEE Transactions on Medical Imaging.
[36] T. Flohr,et al. Spectral Computed Tomography , 2012 .
[37] David Zhang,et al. FSIM: A Feature Similarity Index for Image Quality Assessment , 2011, IEEE Transactions on Image Processing.
[38] Jing Wang,et al. Inverse determination of the penalty parameter in penalized weighted least-squares algorithm for noise reduction of low-dose CBCT. , 2011, Medical physics.
[39] P. Shikhaliev,et al. Photon counting spectral CT versus conventional CT: comparative evaluation for breast imaging application , 2011, Physics in medicine and biology.
[40] Zengxin Wei,et al. Globally convergent Polak-Ribière-Polyak conjugate gradient methods under a modified Wolfe line search , 2009, Appl. Math. Comput..
[41] Jie Tang,et al. Performance comparison between total variation (TV)-based compressed sensing and statistical iterative reconstruction algorithms , 2009, Physics in medicine and biology.
[42] M. Drangova,et al. Implementation of dual- and triple-energy cone-beam micro-CT for postreconstruction material decomposition. , 2008, Medical physics.
[43] E. Sidky,et al. Image reconstruction in circular cone-beam computed tomography by constrained, total-variation minimization , 2008, Physics in medicine and biology.
[44] Adam Wunderlich,et al. Image covariance and lesion detectability in direct fan-beam x-ray computed tomography , 2008, Physics in medicine and biology.
[45] Jie Tang,et al. Prior image constrained compressed sensing (PICCS): a method to accurately reconstruct dynamic CT images from highly undersampled projection data sets. , 2008, Medical physics.
[46] M. Macari,et al. Dual energy CT: preliminary observations and potential clinical applications in the abdomen , 2008, European Radiology.
[47] Zengxin Wei,et al. A descent nonlinear conjugate gradient method for large-scale unconstrained optimization , 2007, Appl. Math. Comput..
[48] E. Sidky,et al. Accurate image reconstruction from few-views and limited-angle data in divergent-beam CT , 2009, 0904.4495.
[49] M. Reiser,et al. Material differentiation by dual energy CT: initial experience , 2007, European Radiology.
[50] Xiaochuan Pan,et al. Impact of polychromatic x-ray sources on helical, cone-beam computed tomography and dual-energy methods. , 2004, Physics in medicine and biology.
[51] Eric C Frey,et al. Development of a 4-D digital mouse phantom for molecular imaging research. , 2004, Molecular imaging and biology : MIB : the official publication of the Academy of Molecular Imaging.
[52] Eero P. Simoncelli,et al. Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.
[53] M. Nikolova. An Algorithm for Total Variation Minimization and Applications , 2004 .
[54] T Hansson,et al. Measurement of bone mineral using multiple-energy x-ray absorptiometry. , 1998, Physics in medicine and biology.
[55] W. Kalender,et al. Evaluation of a prototype dual-energy computed tomographic apparatus. II. Determination of vertebral bone mineral content. , 1986, Medical physics.
[56] A. Macovski,et al. Energy-selective reconstructions in X-ray computerised tomography , 1976, Physics in medicine and biology.