Fetching the paper…
Reading the bibliography…
Dynamic computed tomography perfusion (CTP) imaging is a promising approach for acute ischemic stroke diagnosis and evaluation.
K. L. Leenders, D. Perani, A. A. Lammertsma, J. D. Heather et al. , “Cerebral blood flow, blood volume and oxygen utilization,” Brain , vol. 113, no. 1, pp. 27–47, 1990
1990
Earlier work this paper cites.
D. C. Alsop and J. A. Detre, “Multisection cerebral blood flow MRI imaging with continuous arterial spin labeling,” Radiology , vol. 208, no. 2, pp. 410–416, 1998
1998
Earlier work this paper cites.
O. Wu, L. Østergaard, R. M. Weisskoff, T. Benner et al. , “Tracer arrival timing-insensitive technique for estimating flow in MR perfusion-weighted imaging using singular value decomposition with a block-circulant deconvolution matrix,” Magnetic Resonance in Medicine , vol. 50, no. 1, pp. 164–174, Jul 2003
2003
Earlier work this paper cites.
Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, “Image quality assessment: From error visibility to structural similarity,” IEEE Transactions on Image Processing , vol. 13, no. 4, pp. 600–612, 2004
2004
Earlier work this paper cites.
K. W. Muir, A. Buchan, R. von Kummer, J. Rother, and J. C. Baron, “Imaging of acute stroke,” Lancet Neurology , vol. 5, no. 9, pp. 755–768, Sep 2006
2006
Earlier work this paper cites.
K. Mouridsen, S. Christensen, L. Gyldensted, and L. Østergaard, “Automatic selection of arterial input function using cluster analysis,” Magnetic Resonance in Medicine , vol. 55, no. 3, pp. 524–531, Mar 2006
2006
Earlier work this paper cites.
G.-H. Chen, J. Tang, and S. Leng, “Prior image constrained compressed sensing (PICCS): A method to accurately reconstruct dynamic CT images from highly undersampled projection data sets,” Medical Physics , vol. 35, no. 2, pp. 660–663, jan 2008. [Online]. Available: http://doi.wiley.com/10.1118/1.2836423
2008
Earlier work this paper cites.
H. J. Wittsack, A. M. Wohlschläger, E. K. Ritzl, R. Kleiser et al. , “CT-perfusion imaging of the human brain: Advanced deconvolution analysis using circulant singular value decomposition,” Computerized Medical Imaging and Graphics , vol. 32, no. 1, pp. 67–77, Jan 2008
2008
Earlier work this paper cites.
A. A. Konstas, G. V. Goldmakher, T. Y. Lee, and M. H. Lev, “Theoretic basis and technical implementations of CT perfusion in acute ischemic stroke, Part 2: Technical implementations,” American Journal of Neuroradiology , vol. 30, no. 5, pp. 885–892, May 2009
2009
Earlier work this paper cites.
A. A. Konstas, G. V. Goldmakher, T. Y. Lee, and M. H. Lev, “Theoretic basis and technical implementations of CT perfusion in acute ischemic stroke, part 1: Theoretic basis,” American Journal of Neuroradiology , vol. 30, no. 4, pp. 662–668, Apr 2009
2009
Earlier work this paper cites.
B. E. Nett, R. Brauweiler, W. Kalender, H. Rowley, and G. H. Chen, “Perfusion measurements by micro-CT using prior image constrained compressed sensing (PICCS): Initial phantom results,” Physics in Medicine and Biology , vol. 55, no. 8, pp. 2333–2350, 2010
2010
Earlier work this paper cites.
K. T. Ho, K. C. Chua, E. Klotz, and C. Panknin, “Stress and rest dynamic myocardial perfusion imaging by evaluation of complete time-attenuation curves with dual-source CT,” JACC: Cardiovascular Imaging , vol. 3, no. 8, pp. 811–820, Aug 2010
2010
Earlier work this paper cites.
A. M. Mendrik, E. J. Vonken, B. Van Ginneken, H. W. De Jong et al. , “TIPS bilateral noise reduction in 4D CT perfusion scans produces high-quality cerebral blood flow maps,” Physics in Medicine and Biology , vol. 56, no. 13, pp. 3857–3872, 2011
2011
Earlier work this paper cites.
A. Fieselmann, M. Kowarschik, A. Ganguly, J. Hornegger, and R. Fahrig, “Deconvolution-based CT and MR Brain Perfusion Measurement: Theoretical Model Revisited and Practical Implementation Details,” Journal of Biomedical Imaging , vol. 2011, pp. 14:1–14:20, Jan 2011
2011
Earlier work this paper cites.
R. G. González, “Low signal, high noise and large uncertainty make CT perfusion unsuitable for acute ischemic stroke patient selection for endovascular therapy,” Journal of NeuroInterventional Surgery , vol. 4, no. 4, pp. 242–245, Jul 2012
2012
Earlier work this paper cites.
F. Zhu, T. Carpenter, D. R. Gonzalez, M. Atkinson, and J. Wardlaw, “Computed tomography perfusion imaging denoising using Gaussian process regression,” Physics in Medicine and Biology , vol. 57, no. 12, pp. N183–N198, Jun 2012
2012
Earlier work this paper cites.
N. Negi, T. Yoshikawa, Y. Ohno, Y. Somiya et al. , “Hepatic CT perfusion measurements: A feasibility study for radiation dose reduction using new image reconstruction method,” European Journal of Radiology , vol. 81, no. 11, pp. 3048–3054, nov 2012
2012
Earlier work this paper cites.
J. Ma, H. Zhang, Y. Gao, J. Huang et al. , “Iterative image reconstruction for cerebral perfusion CT using a pre-contrast scan induced edge-preserving prior,” Physics in Medicine and Biology , vol. 57, no. 22, pp. 7519–7542, nov 2012
2012
Earlier work this paper cites.
R. Fang, T. Chen, and P. C. Sanelli, “Towards robust deconvolution of low-dose perfusion CT: Sparse perfusion deconvolution using online dictionary learning,” Medical Image Analysis , vol. 17, no. 4, pp. 417–428, May 2013
2013
Earlier work this paper cites.
C. J. Lin, T. H. Wu, C. H. Lin, S. C. Hung et al. , “Can iterative reconstruction improve imaging quality for lower radiation CT perfusion? initial experience,” American Journal of Neuroradiology , vol. 34, no. 8, pp. 1516–1521, aug 2013
2013
Earlier work this paper cites.
M. T. Manhart, M. Kowarschik, A. Fieselmann, Y. Deuerling-Zheng et al. , “Dynamic iterative reconstruction for interventional 4-D C-Arm CT perfusion imaging,” IEEE Transactions on Medical Imaging , vol. 32, no. 7, pp. 1336–1348, 2013
2013
Earlier work this paper cites.
A. Aichert, M. T. Manhart, B. K. Navalpakkam, R. Grimm et al. , “A realistic digital phantom for perfusion C-arm CT based on MRI data,” in IEEE Nuclear Science Symposium Conference Record . Institute of Electrical and Electronics Engineers Inc., 2013, pp. 1–2
2013
Earlier work this paper cites.
M. Kistler, S. Bonaretti, M. Pfahrer, R. Niklaus, and P. Büchler, “The virtual skeleton database: an open access repository for biomedical research and collaboration.” Journal of medical Internet research , vol. 15, no. 11, p. e245, Nov 2013
2013
Cited alongside, same era.
J. Biesbroek, J. Niesten, J. Dankbaar, G. Biessels et al. , “Diagnostic Accuracy of CT Perfusion Imaging for Detecting Acute Ischemic Stroke: A Systematic Review and Meta-Analysis,” Cerebrovascular Diseases , vol. 35, no. 6, pp. 493–501, 2013
2013
Cited alongside, same era.
A. Murphy, A. So, T. Y. Lee, S. Symons et al. , “Low dose CT perfusion in acute ischemic stroke,” Neuroradiology , vol. 56, no. 12, pp. 1055–1062, Nov 2014
2014
Cited alongside, same era.
J. M. Niesten, I. C. Van Der Schaaf, A. J. Riordan, H. W. De Jong et al. , “Radiation dose reduction in cerebral CT perfusion imaging using iterative reconstruction,” European Radiology , vol. 24, no. 2, pp. 484–493, feb 2014
2014
Cited alongside, same era.
O. Maier, B. H. Menze, J. von der Gablentz, L. Häni et al. , “ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI,” Medical Image Analysis , vol. 35, pp. 250–269, Jan 2017
2017
Later among the works it cites.
D. Wu, K. Kim, G. El Fakhri, and Q. Li, “Iterative Low-dose CT Reconstruction with Priors Trained by Artificial Neural Network,” IEEE Transactions on Medical Imaging , vol. 36, no. 12, pp. 2479–2486, Dec 2017
2017
Later among the works it cites.
R. Liu, L. Fu, B. De Man, and H. Yu, “GPU-Based Branchless Distance-Driven Projection and Backprojection,” IEEE Transactions on Computational Imaging , vol. 3, no. 4, pp. 617–632, Mar 2017
2017
Later among the works it cites.
K. H. Jin, M. T. McCann, E. Froustey, and M. Unser, “Deep Convolutional Neural Network for Inverse Problems in Imaging,” IEEE Transactions on Image Processing , vol. 26, no. 9, pp. 4509–4522, Sep 2017
2017
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Y. Tao, G.-H. Chen, T. A. Hacker, A. N. Raval et al. , “Low dose dynamic CT myocardial perfusion imaging using a statistical iterative reconstruction method,” Medical Physics , vol. 41, no. 7, p. 071914, Jun 2014
2014
Cited alongside, same era.
Y. H. Kao, M. Mu Huo Teng, Y. T. Kao, Y. J. Chen et al. , “Automatic measurements of arterial input and venous output functions on cerebral computed tomography perfusion images: A preliminary study,” Computers in Biology and Medicine , vol. 51, pp. 51–60, Aug 2014
2014
Cited alongside, same era.
2014
Cited alongside, same era.
R. Fang, S. Zhang, T. Chen, and P. C. Sanelli, “Robust Low-Dose CT Perfusion Deconvolution via Tensor Total-Variation Regularization,” IEEE Transactions on Medical Imaging , vol. 34, no. 7, pp. 1533–1548, Jul 2015
2015
Cited alongside, same era.
O. Ronneberger, P. Fischer, and T. Brox, “U-net: Convolutional networks for biomedical image segmentation,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , vol. 9351. Springer Verlag, 2015, pp. 234–241
2015
Cited alongside, same era.
R. J. Geraldo, L. M. V. Cura, P. E. Cruvinel, and N. D. A. Mascarenhas, “Low Dose CT Filtering in the Image Domain Using MAP Algorithms,” IEEE Transactions on Radiation and Plasma Medical Sciences , vol. 1, no. 1, pp. 56–67, dec 2016
2016
Cited alongside, same era.
F. Pisana, T. Henzler, S. Schönberg, E. Klotz et al. , “Low dose CT perfusion using k-means clustering,” in Medical Imaging 2016: Physics of Medical Imaging , D. Kontos, T. G. Flohr, and J. Y. Lo, Eds., vol. 9783, Mar 2016, p. 97833M
2016
Cited alongside, same era.
S. Niu, S. Zhang, J. Huang, Z. Bian et al. , “Low-dose cerebral perfusion computed tomography image restoration via low-rank and total variation regularizations,” Neurocomputing , vol. 197, pp. 143–160, Jul 2016
2016
Cited alongside, same era.
R. G. Nogueira, A. P. Jadhav, D. C. Haussen, A. Bonafe et al. , “Thrombectomy 6 to 24 Hours after Stroke with a Mismatch between Deficit and Infarct,” New England Journal of Medicine , vol. 378, no. 1, pp. 11–21, Jan 2018
2018
Later among the works it cites.
W. J. Powers, A. A. Rabinstein, T. Ackerson, O. M. Adeoye et al. , “2018 Guidelines for the Early Management of Patients With Acute Ischemic Stroke: A Guideline for Healthcare Professionals From the American Heart Association/American Stroke Association,” Stroke , vol. 49, no. 3, pp. e46–e110, 2018
2018
Later among the works it cites.
A. M. Hasan, A. Melli, K. A. Wahid, and P. Babyn, “Denoising Low-Dose CT Images Using Multiframe Blind Source Separation and Block Matching Filter,” IEEE Transactions on Radiation and Plasma Medical Sciences , vol. 2, no. 4, pp. 279–287, feb 2018
2018
Later among the works it cites.
S. Seyyedi, E. Liapi, T. Lasser, R. Ivkov et al. , “Low-Dose CT Perfusion of the Liver using Reconstruction of Difference,” IEEE Transactions on Radiation and Plasma Medical Sciences , pp. 1–1, mar 2018
2018
Later among the works it cites.
Q. Yang, P. Yan, Y. Zhang, H. Yu et al. , “Low-Dose CT Image Denoising Using a Generative Adversarial Network With Wasserstein Distance and Perceptual Loss,” IEEE Transactions on Medical Imaging , vol. 37, no. 6, pp. 1348–1357, jun 2018
2018
Later among the works it cites.
V. S. Kadimesetty, S. Gutta, S. Ganapathy, and P. K. Yalavarthy, “Convolutional Neural Network-Based Robust Denoising of Low-Dose Computed Tomography Perfusion Maps,” IEEE Transactions on Radiation and Plasma Medical Sciences , vol. 3, no. 2, pp. 137–152, Jul 2018
2018
Later among the works it cites.
J. Lehtinen, J. Munkberg, J. Hasselgren, S. Laine et al. , “Noise2Noise: Learning image restoration without clean data,” in 35th International Conference on Machine Learning, ICML 2018 , vol. 7, 2018, pp. 4620–4631
2018
Later among the works it cites.
D. Ulyanov, A. Vedaldi, and V. Lempitsky, “Deep Image Prior,” in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition , 2018, pp. 9446–9454
2018
Later among the works it cites.
G. W. Albers, M. P. Marks, S. Kemp, S. Christensen et al. , “Thrombectomy for Stroke at 6 to 16 Hours with Selection by Perfusion Imaging,” New England Journal of Medicine , vol. 378, no. 8, pp. 708–718, Feb 2018
2018
Later among the works it cites.
K. Gong, J. Cheng-Liao, G. Wang, K. T. Chen et al. , “Direct Patlak Reconstruction from Dynamic PET Data Using the Kernel Method with MRI Information Based on Structural Similarity,” IEEE Transactions on Medical Imaging , vol. 37, no. 4, pp. 955–965, Apr 2018
2018
Later among the works it cites.
T. Zhao, J. Hoffman, M. McNitt-Gray, and D. Ruan, “Ultra-low-dose CT image denoising using modified BM3D scheme tailored to data statistics,” Medical Physics , vol. 46, no. 1, pp. 190–198, jan 2019
2019
Later among the works it cites.
S. Li, D. Zeng, J. Peng, Z. Bian et al. , “An Efficient Iterative Cerebral Perfusion CT Reconstruction via Low-Rank Tensor Decomposition With Spatial-Temporal Total Variation Regularization,” IEEE Transactions on Medical Imaging , vol. 38, no. 2, pp. 360–370, Feb 2019
2019
Later among the works it cites.
Y. Xiao, P. Liu, Y. Liang, S. Stolte et al. , “STIR-Net: Deep Spatial-Temporal Image Restoration Net for Radiation Reduction in CT Perfusion,” Frontiers in Neurology , vol. 10, p. 647, 2019
2019
Later among the works it cites.
D. Wu, K. Gong, K. Kim, X. Li, and Q. Li, “Consensus Neural Network for Medical Imaging Denoising with Only Noisy Training Samples,” in Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 , D. Shen, T. Liu, T. M. Peters, L. H. Staib et al. , Eds. Cham: Springer International Publishing, 2019, pp. 741–749
2019
Later among the works it cites.
K. Gong, C. Catana, J. Qi, and Q. Li, “PET Image Reconstruction Using Deep Image Prior,” IEEE Transactions on Medical Imaging , vol. 38, no. 7, pp. 1655–1665, jul 2019
2019
Later among the works it cites.
E. Kang, H. J. Koo, D. H. Yang, J. B. Seo, and J. C. Ye, “Cycle-consistent adversarial denoising network for multiphase coronary CT angiography,” Medical Physics , vol. 46, no. 2, pp. 550–562, feb 2019
2019
Later among the works it cites.
E. Barow, F. Boutitie, B. Cheng, T. H. Cho et al. , “Functional outcome of intravenous thrombolysis in patients with lacunar infarcts in the wake-up trial,” JAMA Neurology , vol. 76, no. 6, pp. 641–649, Jun 2019
2019
Later among the works it cites.