Regularization parameter selection and an efficient algorithm for total variation-regularized positron emission tomography

Johnathan M. Bardsley; John Goldes

doi:10.1007/s11075-010-9427-4

Regularization parameter selection and an efficient algorithm for total variation-regularized positron emission tomography

Numerical Algorithms ◽

10.1007/s11075-010-9427-4 ◽

2010 ◽

Vol 57 (2) ◽

pp. 255-271 ◽

Cited By ~ 8

Author(s):

Johnathan M. Bardsley ◽

John Goldes

Keyword(s):

Positron Emission Tomography ◽

Total Variation ◽

Efficient Algorithm ◽

Regularization Parameter ◽

Parameter Selection ◽

Emission Tomography ◽

Positron Emission ◽

Regularization Parameter Selection

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An interior-point method for total variation regularized positron emission tomography image reconstruction

10.1117/12.910624 ◽

2012 ◽

Cited By ~ 1

Author(s):

Bing Bai

Keyword(s):

Positron Emission Tomography ◽

Image Reconstruction ◽

Total Variation ◽

Interior Point ◽

Interior Point Method ◽

Point Method ◽

Emission Tomography ◽

Positron Emission Tomography Image ◽

Positron Emission ◽

Tomography Image

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Multi-scale Total Variation with Automated Regularization Parameter Selection for Color Image Restoration

Lecture Notes in Computer Science - Scale Space and Variational Methods in Computer Vision ◽

10.1007/978-3-642-02256-2_23 ◽

2009 ◽

pp. 271-281 ◽

Cited By ~ 11

Author(s):

Yiqiu Dong ◽

Michael Hintermüller

Keyword(s):

Image Restoration ◽

Total Variation ◽

Color Image ◽

Regularization Parameter ◽

Parameter Selection ◽

Multi Scale ◽

Selection For ◽

Regularization Parameter Selection

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Total Variation Regularized SENSE Image Reconstruction Based on Improved regularization parameter selection

10.1109/ccdc52312.2021.9602165 ◽

2021 ◽

Author(s):

Chunli Wu ◽

Zhiming Bai

Keyword(s):

Image Reconstruction ◽

Total Variation ◽

Regularization Parameter ◽

Parameter Selection ◽

Regularization Parameter Selection

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Automated Regularization Parameter Selection in Multi-Scale Total Variation Models for Image Restoration

Journal of Mathematical Imaging and Vision ◽

10.1007/s10851-010-0248-9 ◽

2010 ◽

Vol 40 (1) ◽

pp. 82-104 ◽

Cited By ~ 86

Author(s):

Yiqiu Dong ◽

Michael Hintermüller ◽

M. Monserrat Rincon-Camacho

Keyword(s):

Image Restoration ◽

Total Variation ◽

Regularization Parameter ◽

Parameter Selection ◽

Multi Scale ◽

Regularization Parameter Selection

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Information divergence constrained total variation minimization for positron emission tomography image reconstruction

2011 IEEE Nuclear Science Symposium Conference Record ◽

10.1109/nssmic.2011.6152697 ◽

2011 ◽

Cited By ~ 2

Author(s):

Lingling Tian ◽

Jianhua Ma ◽

Zhengrong Liang ◽

Jing Huang ◽

Wufan Chen

Keyword(s):

Positron Emission Tomography ◽

Image Reconstruction ◽

Total Variation ◽

Emission Tomography ◽

Positron Emission Tomography Image ◽

Total Variation Minimization ◽

Positron Emission ◽

Tomography Image ◽

Information Divergence

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Spectral Response Based Regularization Parameter Selection for Total Variation Image Restoration

Lecture Notes in Electrical Engineering - Advanced Multimedia and Ubiquitous Engineering ◽

10.1007/978-981-10-5041-1_101 ◽

2017 ◽

pp. 640-645

Author(s):

Yuhui Zheng ◽

Min Li ◽

Kai Ma ◽

Shunfeng Wang ◽

Jin Wang

Keyword(s):

Image Restoration ◽

Total Variation ◽

Regularization Parameter ◽

Spectral Response ◽

Parameter Selection ◽

Selection For ◽

Regularization Parameter Selection

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A computationally efficient algorithm for determining regional cerebral blood flow in heterogeneous tissues by positron emission tomography

IEEE Transactions on Medical Imaging ◽

10.1109/42.932746 ◽

2001 ◽

Vol 20 (7) ◽

pp. 618-632 ◽

Cited By ~ 5

Author(s):

K. Schmidt ◽

L. Sokoloff

Keyword(s):

Positron Emission Tomography ◽

Blood Flow ◽

Cerebral Blood Flow ◽

Efficient Algorithm ◽

Regional Cerebral Blood Flow ◽

Emission Tomography ◽

Computationally Efficient ◽

Regional Cerebral Blood ◽

Positron Emission ◽

Heterogeneous Tissues

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Scale Recognition, Regularization Parameter Selection, and Meyer's G Norm in Total Variation Regularization

Multiscale Modeling and Simulation ◽

10.1137/040621624 ◽

2006 ◽

Vol 5 (1) ◽

pp. 273-303 ◽

Cited By ~ 49

Author(s):

David M. Strong ◽

Jean-François Aujol ◽

Tony F. Chan

Keyword(s):

Total Variation ◽

Regularization Parameter ◽

Parameter Selection ◽

Total Variation Regularization ◽

Regularization Parameter Selection

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An automatic regularization parameter selection algorithm in the total variation model for image deblurring

Numerical Algorithms ◽

10.1007/s11075-013-9775-y ◽

2013 ◽

Vol 67 (1) ◽

pp. 73-92 ◽

Cited By ~ 16

Author(s):

K. Chen ◽

E. Loli Piccolomini ◽

F. Zama

Keyword(s):

Total Variation ◽

Regularization Parameter ◽

Image Deblurring ◽

Parameter Selection ◽

Selection Algorithm ◽

Total Variation Model ◽

Regularization Parameter Selection ◽

Variation Model

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Improved Simultaneous Algebraic Reconstruction Technique Algorithm for Positron-Emission Tomography Image Reconstruction via Minimizing the Fast Total Variation

Journal of Medical Imaging and Radiation Sciences ◽

10.1016/j.jmir.2017.09.005 ◽

2017 ◽

Vol 48 (4) ◽

pp. 385-393 ◽

Cited By ~ 7

Author(s):

Abdelwahhab Boudjelal ◽

Zoubeida Messali ◽

Abderrahim Elmoataz ◽

Bilal Attallah

Keyword(s):

Positron Emission Tomography ◽

Image Reconstruction ◽

Total Variation ◽

Emission Tomography ◽

Positron Emission Tomography Image ◽

Reconstruction Technique ◽

Algebraic Reconstruction Technique ◽

Positron Emission ◽

Tomography Image ◽

Simultaneous Algebraic Reconstruction Technique

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