Penalized-Likelihood Image Reconstruction for Transmission Computed Tomography Using Adaptive Median Regularization

IEEE Access ◽

10.1109/access.2020.3031286 ◽

2020 ◽

Vol 8 ◽

pp. 189490-189502

Author(s):

Ji Eun Jung ◽

Soo-Jin Lee

Keyword(s):

Computed Tomography ◽

Image Reconstruction ◽

Penalized Likelihood ◽

Likelihood Image ◽

Transmission Computed Tomography

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Penalized-likelihood image reconstruction for x-ray fluorescence computed tomography

Optical Engineering ◽

10.1117/1.2227273 ◽

2006 ◽

Vol 45 (7) ◽

pp. 077005 ◽

Author(s):

Patrick J. La Rivière

Keyword(s):

Computed Tomography ◽

Image Reconstruction ◽

Penalized Likelihood ◽

X Ray ◽

Likelihood Image

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Monotonic penalized-likelihood image reconstruction for X-ray fluorescence computed tomography

IEEE Transactions on Medical Imaging ◽

10.1109/tmi.2006.877441 ◽

2006 ◽

Vol 25 (9) ◽

pp. 1117-1129 ◽

Author(s):

P.J. La Riviere ◽

P.A. Vargas

Keyword(s):

Computed Tomography ◽

Image Reconstruction ◽

Penalized Likelihood ◽

X Ray ◽

Likelihood Image

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Penalized-likelihood image reconstruction for x-ray fluorescence computed tomography with unknown fluorescence attenuation maps

10.1117/12.556615 ◽

2004 ◽

Author(s):

Patrick J. La Riviere ◽

David M. Billmire

Keyword(s):

Computed Tomography ◽

Image Reconstruction ◽

Penalized Likelihood ◽

X Ray ◽

Likelihood Image

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Monotonic Penalized-Likelihood Image Reconstruction for X-Ray Fluorescence Computed Tomography

IEEE Nuclear Science Symposium Conference Record, 2005 ◽

10.1109/nssmic.2005.1596723 ◽

2006 ◽

Author(s):

P.J. La Riviere ◽

P.A. Vargas

Keyword(s):

Computed Tomography ◽

Image Reconstruction ◽

Penalized Likelihood ◽

X Ray ◽

Likelihood Image

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Alternating update penalized-likelihood image reconstruction for x-ray fluorescence computed tomography

10.1117/12.682558 ◽

2006 ◽

Author(s):

Patrick J. La Rivière ◽

Phillip Vargas

Keyword(s):

Computed Tomography ◽

Image Reconstruction ◽

Penalized Likelihood ◽

X Ray ◽

Likelihood Image

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MO-G-17A-07: Improved Image Quality in Brain F-18 FDG PET Using Penalized-Likelihood Image Reconstruction Via a Generalized Preconditioned Alternating Projection Algorithm: The First Patient Results

Medical Physics ◽

10.1118/1.4889209 ◽

2014 ◽

Vol 41 (6Part25) ◽

pp. 438-438 ◽

Author(s):

CR Schmidtlein ◽

S Li ◽

Z Wu ◽

J Zhang ◽

L Vogelsang ◽

...

Keyword(s):

Image Reconstruction ◽

Image Quality ◽

Fdg Pet ◽

Penalized Likelihood ◽

Projection Algorithm ◽

Likelihood Image ◽

Alternating Projection

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Noise propagation for iterative penalized-likelihood image reconstruction based on Fisher information

Physics in Medicine and Biology ◽

10.1088/0031-9155/56/4/013 ◽

2011 ◽

Vol 56 (4) ◽

pp. 1083-1103 ◽

Author(s):

Yusheng Li

Keyword(s):

Image Reconstruction ◽

Fisher Information ◽

Penalized Likelihood ◽

Noise Propagation ◽

Likelihood Image

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Power laws for image quality measures in PET penalized-likelihood image reconstruction

2013 IEEE Nuclear Science Symposium and Medical Imaging Conference (2013 NSS/MIC) ◽

10.1109/nssmic.2013.6829034 ◽

2013 ◽

Keyword(s):

Image Reconstruction ◽

Image Quality ◽

Penalized Likelihood ◽

Quality Measures ◽

Likelihood Image ◽

Image Quality Measures

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Penalized-Likelihood Image Reconstruction for Transmission Tomography Using Spline Regularizers

Journal of Biomedical Engineering Research ◽

10.9718/jber.2015.36.5.211 ◽

2015 ◽

Vol 36 (5) ◽

pp. 211-220

Author(s):

J.E. Jung ◽

S.-J. Lee

Keyword(s):

Image Reconstruction ◽

Penalized Likelihood ◽

Transmission Tomography ◽

Likelihood Image

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Modeling and control of nonstationary noise characteristics in filtered-backprojection and penalized likelihood image reconstruction

10.1117/12.2008408 ◽

2013 ◽

Author(s):

G. J. Gang ◽

J. W. Stayman ◽

W. Zbijewski ◽

J. H. Siewerdsen

Keyword(s):

Image Reconstruction ◽

Penalized Likelihood ◽

Filtered Backprojection ◽

Modeling And Control ◽

Likelihood Image ◽

Noise Characteristics ◽

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