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IEEE transactions on medical imaging, v.37 no.6, 2018년, pp.1370 - 1381
Zhang, Yanbo (University of Massachusetts at Lowell, Department of Electrical and Computer Engineering, Lowell, MA, USA) , Yu, Hengyong (University of Massachusetts at Lowell, Department of Electrical and Computer Engineering, Lowell, MA, USA)
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In the presence of metal implants, metal artifacts are introduced to x-ray computed tomography CT images. Although a large number of metal artifact reduction (MAR) methods have been proposed in the past decades, MAR is still one of the major problems in clinical x-ray CT. In this paper, we develop a...
Machine-learning-based nonlinear decomposition of CT images for metal artifact reduction park 2017
CT sinogram-consistency learning for metal-induced beam hardening correction park 2017
Chen, Hu, Zhang, Yi, Chen, Yunjin, Zhang, Junfeng, Zhang, Weihua, Sun, Huaiqiang, Lv, Yang, Liao, Peixi, Zhou, Jiliu, Wang, Ge. LEARN: Learned Experts’ Assessment-Based Reconstruction Network for Sparse-Data CT. IEEE transactions on medical imaging, vol.37, no.6, 1333-1347.
Du, Wenchao, Chen, Hu, Wu, Zhihong, Sun, Huaiqiang, Liao, Peixi, Zhang, Yi. Stacked competitive networks for noise reduction in low-dose CT. PloS one, vol.12, no.12, e0190069-.
Proc Int Meeting Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine Reducing metal streak artifacts in CT images via deep learning: Pilot results gjesteby 2017 611
Chen, Hu, Zhang, Yi, Zhang, Weihua, Liao, Peixi, Li, Ke, Zhou, Jiliu, Wang, Ge. aLow-dose CT via convolutional neural network. Biomedical optics express, vol.8, no.2, 679-.
Convolutional neural network based metal artifact reduction in X-ray computed tomography zhang 2017
Proc SPIE Reduction of metal artifacts in X-ray CT images using a convolutional neural network zhang 2017 10391 103910v
10.1117/12.2274427
Liu, Yan, Zhang, Yi. Low-dose CT restoration via stacked sparse denoising autoencoders. Neurocomputing, vol.284, 80-89.
Wolterink, Jelmer M., Leiner, Tim, Viergever, Max A., Isgum, Ivana. Generative Adversarial Networks for Noise Reduction in Low-Dose CT. IEEE transactions on medical imaging, vol.36, no.12, 2536-2545.
Chen, Hu, Zhang, Yi, Kalra, Mannudeep K., Lin, Feng, Chen, Yang, Liao, Peixi, Zhou, Jiliu, Wang, Ge. Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network. IEEE transactions on medical imaging, vol.36, no.12, 2524-2535.
Proc SPIE Deep learning methods to guide CT image reconstruction and reduce metal artifacts gjesteby 2017 10.1117/12.2254091 10132 101322w
Gjesteby, Lars, De Man, Bruno, Jin, Yannan, Paganetti, Harald, Verburg, Joost, Giantsoudi, Drosoula, Wang, Ge. Metal Artifact Reduction in CT: Where Are We After Four Decades?. IEEE access : practical research, open solutions, vol.4, 5826-5849.
De Man, B., Nuyts, J., Dupont, P., Marchal, G., Suetens, P.. Metal streak artifacts in X-ray computed tomography: a simulation study. IEEE transactions on nuclear science, vol.46, no.3, 691-696.
Zhang, Xiaomeng, Wang, Jing, Xing, Lei. Metal artifact reduction in x‐ray computed tomography (CT) by constrained optimization. Medical physics, vol.38, no.2, 701-711.
Lemmens, C., Faul, D., Nuyts, J.. Suppression of Metal Artifacts in CT Using a Reconstruction Procedure That Combines MAP and Projection Completion. IEEE transactions on medical imaging, vol.28, no.2, 250-260.
10.1109/NSSMIC.2010.5874266
Zhang, Yanbo, Yan, Hao, Jia, Xun, Yang, Jian, Jiang, Steve B., Mou, Xuanqin. A hybrid metal artifact reduction algorithm for x‐ray CT. Medical physics, vol.40, no.4, 041910-.
10.1117/12.2008176
Jin, Kyong Hwan, McCann, Michael T., Froustey, Emmanuel, Unser, Michael. Deep Convolutional Neural Network for Inverse Problems in Imaging. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, vol.26, no.9, 4509-4522.
Wang, Ge. A Perspective on Deep Imaging. IEEE access : practical research, open solutions, vol.4, 8914-8924.
Yu, Hengyong, Zeng, Kai, Bharkhada, Deepak K., Wang, Ge, Madsen, Mark T., Saba, Osama, Policeni, Bruno, Howard, Matthew A., Smoker, Wendy R.K.. A Segmentation-Based Method for Metal Artifact Reduction. Academic radiology, vol.14, no.4, 495-504.
10.1117/12.2006810
10.1109/CVPR.2016.90
Hegazy, Mohamed A. A., Cho, Min Hyoung, Lee, Soo Yeol. A metal artifact reduction method for a dental CT based on adaptive local thresholding and prior image generation. Biomedical engineering online, vol.15, 119-.
Zhang, Yi, Pu, Yi-Fei, Hu, Jin-Rong, Liu, Yan, Chen, Qing-Li, Zhou, Ji-Liu. Efficient CT Metal Artifact Reduction Based on Fractional-Order Curvature Diffusion. Computational and mathematical methods in medicine : CMMM, vol.2011, 173748-.
J X-Ray Sci Technol A new CT metal artifacts reduction algorithm based on fractional-order sinogram inpainting zhang 2011 10.3233/XST-2011-0300 19 373
Low Dose CT Grand Challenge 2016
10.1148/radiology.164.2.3602406
Bal, Matthieu, Spies, Lothar. Metal artifact reduction in CT using tissue-class modeling and adaptive prefiltering : Metal artifact reduction in CT. Medical physics, vol.33, no.8, 2852-2859.
Meyer, Esther, Raupach, Rainer, Lell, Michael, Schmidt, Bernhard, Kachelrieß, Marc. Normalized metal artifact reduction (NMAR) in computed tomography. Medical physics, vol.37, no.10, 5482-5493.
Prell, Daniel, Kyriakou, Yiannis, Beister, Marcel, Kalender, Willi A. A novel forward projection-based metal artifact reduction method for flat-detector computed tomography. Physics in medicine & biology, vol.54, no.21, 6575-6591.
Wang, Jun, Wang, Shijie, Chen, Yang, Wu, Jiasong, Coatrieux, Jean-Louis, Luo, Limin. Metal artifact reduction in CT using fusion based prior image : Metal artifact reduction in CT. Medical physics, vol.40, no.8, 081903-.
Metal artifact reduction based on the combined prior image zhang 2014
Wang, Ge, Snyder, D.L., O'Sullivan, J.A., Vannier, M.W.. Iterative deblurring for CT metal artifact reduction. IEEE transactions on medical imaging, vol.15, no.5, 657-664.
Wang, Ge, Vannier, Michael W., Cheng, Ping-Chin. Iterative X-ray Cone-Beam Tomography for Metal Artifact Reduction and Local Region Reconstruction. Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada, vol.5, no.1, 58-65.
J X-Ray Sci Technol An experimental survey of metal artefact reduction in computed tomography mouton 2013 10.3233/XST-130372 21 193
Huang, Jessie Y, Kerns, James R, Nute, Jessica L, Liu, Xinming, Balter, Peter A, Stingo, Francesco C, Followill, David S, Mirkovic, Dragan, Howell, Rebecca M, Kry, Stephen F. An evaluation of three commercially available metal artifact reduction methods for CT imaging. Physics in medicine & biology, vol.60, no.3, 1047-1067.
Hsieh, Jiang, Molthen, Robert C., Dawson, Christopher A., Johnson, Roger H.. An iterative approach to the beam hardening correction in cone beam CT. Medical physics, vol.27, no.1, 23-29.
Hyoung Suk Park, Dosik Hwang, Jin Keun Seo. Metal Artifact Reduction for Polychromatic X-ray CT Based on a Beam-Hardening Corrector. IEEE transactions on medical imaging, vol.35, no.2, 480-487.
Kachelrieß, Marc, Watzke, Oliver, Kalender, Willi A.. Generalized multi‐dimensional adaptive filtering for conventional and spiral single‐slice, multi‐slice, and cone‐beam CT. Medical physics, vol.28, no.4, 475-490.
10.1109/NSSMIC.2010.5874473
Wang, Zhou, Bovik, A.C., Sheikh, H.R., Simoncelli, E.P.. Image quality assessment: from error visibility to structural similarity. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, vol.13, no.4, 600-612.
Mehranian, Abolfazl, Ay, Mohammad Reza, Rahmim, Arman, Zaidi, Habib.
X-ray CT Metal Artifact Reduction Using Wavelet Domain
J X-Ray Sci Technol Application of projection simulation based on physical imaging model to the evaluation of beam hardening corrections in X-ray transmission tomography tang 2008 16 95
XCOM Photon cross sections database berger 1998
MatConvNet CNNs for MATLAB 2017
10.1145/2733373.2807412
Elbakri, I.A., Fessler, J.A.. Statistical image reconstruction for polyenergetic X-ray computed tomography. IEEE transactions on medical imaging, vol.21, no.2, 89-99.
Kyriakou, Yiannis, Meyer, Esther, Prell, Daniel, Kachelrieß, Marc. Empirical beam hardening correction (EBHC) for CT. Medical physics, vol.37, no.10, 5179-5187.
Verburg, Joost M, Seco, Joao. CT metal artifact reduction method correcting for beam hardening and missing projections. Physics in medicine & biology, vol.57, no.9, 2803-2818.
IEEE Trans Med Imag Low-dose X-ray CT reconstruction via dictionary learning xu 2012 10.1109/TMI.2012.2195669 31 1682
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