21.8.10.1 Positron Emission Tomography, PET Image Reconstruction

Chapter Contents (Back)
Positron Emission Tomography. Image Reconstruction. PET.

Rockmore, A.J., Makovski, A.,
A maximum likelihood approach to emission image reconstruction from projections,
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Rewitt, R.M., and Matej, S.,
Overview of methods for image reconstruction from projections in emission computed tomography,
PIEEE(91), No. 10, October 2003, pp. 1588-1611.
IEEE DOI 0310
Survey, PET. BibRef

Shepp, L.A., and Vardi, Y.,
Maximum Likelihood Reconstruction for Emission Tomography,
MedImg(1), October 1982, pp. 113-122. BibRef 8210

Bowsher, J.E., Johnson, V.E., Turkington, T.G., Jaszczak, R.J., Floyd, Jr., C.E., Coleman, R.E.,
Bayesian reconstruction and use of anatomical a priori information for emission tomography,
MedImg(15), No. 5, October 1996, pp. 673-686.
IEEE Top Reference. 0203
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Higdon, D.M., Bowsher, J.E., Johnson, V.E., Turkington, T.G., Gilland, D.R., Jaszczak, R.J.,
Fully Bayesian estimation of Gibbs hyperparameters for emission computed tomography data,
MedImg(16), No. 5, October 1997, pp. 516-526.
IEEE Top Reference. 0205
BibRef

Bowsher, J.E., Tornai, M.P., Peter, J., Gonzalez Trotter, D.E., Krol, A., Gilland, D.R., Jaszczak, R.J.,
Modeling the axial extension of a transmission line source within iterative reconstruction via multiple transmission sources,
MedImg(21), No. 3, March 2002, pp. 200-215.
IEEE Top Reference. 0205
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Johnson, C.A., Seidel, J., Carson, R.E., Gandler, W.R., Sofer, A., Green, M.V., Daube-Witherspoon, M.E.,
Evaluation of 3D Reconstruction Algorithms for a Small Animal PET Camera,
NucSci(44), No. 3, Part 2, June 1997, pp. 1303-1308. 9707
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Yao, R.[Rutao], Seidel, J., Johnson, C.A., Daube-Witherspoon, M.E., Green, M.V., Carson, R.E.,
Performance characteristics of the 3-D OSEM algorithm in the reconstruction of small animal PET images,
MedImg(19), No. 8, August 2000, pp. 798-804.
IEEE Top Reference. 0110
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Surti, S., Karp, J.S., Perkins, A.E., Cardi, C.A., Daube-Witherspoon, M.E., Kuhn, A., Muehllehner, G.,
Imaging performance of a-PET: a small animal PET camera,
MedImg(24), No. 7, July 2005, pp. 844-852.
IEEE DOI 0508
BibRef

Goldstein, S.R., Daube-Witherspoon, M.E., Green, M.V., Eidsath, A.,
A head motion measurement system suitable for emission computed tomography,
MedImg(16), No. 1, February 1997, pp. 17-27.
IEEE Top Reference. 0205
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Surti, S., Karp, J.S., Popescu, L.M., Daube-Witherspoon, M.E., Werner, M.E.,
Investigation of Time-of-Flight Benefit for Fully 3-D PET,
MedImg(25), No. 5, May 2006, pp. 529-538.
IEEE DOI 0605
BibRef

Daube-Witherspoon, M.E., Matej, S., Werner, M.E., Surti, S., Karp, J.S.,
Comparison of List-Mode and DIRECT Approaches for Time-of-Flight PET Reconstruction,
MedImg(31), No. 7, July 2012, pp. 1461-1471.
IEEE DOI 1208
BibRef

Matej, S., Surti, S., Jayanthi, S., Daube-Witherspoon, M.E., Lewitt, R.M., Karp, J.S.,
Efficient 3-D TOF PET Reconstruction Using View-Grouped Histo-Images: DIRECT-Direct Image Reconstruction for TOF,
MedImg(28), No. 5, May 2009, pp. 739-751.
IEEE DOI 0905
BibRef

Sastry, S., Carson, R.E.,
Multimodality Bayesian Algorithm for Image-Reconstruction in Positron-Emission-Tomography: A Tissue Composition Model,
MedImg(16), No. 6, December 1997, pp. 750-761.
IEEE Top Reference. 9803
BibRef

Kao, C.M., Yap, J.T., Mukherjee, J., Wernick, M.N.,
Image-Reconstruction for Dynamic PET Based on Low-Order Approximation and Restoration of the Sinogram,
MedImg(16), No. 6, December 1997, pp. 738-749.
IEEE Top Reference. 9803
BibRef

Egger, M.L., Scheurer, A.H., Joseph, C., Morel, C.,
High-Performance Scalable Parallel Platform for Volume Reconstruction of PET Data,
IJIST(9), No. 6, 1998, pp. 455-462. 9812
BibRef

Carroll, R.B., Mair, B.A.,
A New Model and Reconstruction Method for 2D PET Based on Transforming Detector Tube Data into Detector Arc Data,
JMIV(14), No. 2, March 2001, pp. 165-185.
DOI Link 0106
BibRef

Wernick, M.N., Infusino, E.J., Milosevic, M.,
Fast spatio-temporal image reconstruction for dynamic PET,
MedImg(18), No. 3, March 1999, pp. 185-195.
IEEE Top Reference. 0110
BibRef

Qi, J.Y.[Jin-Yi], Leahy, R.M.,
A theoretical study of the contrast recovery and variance of MAP reconstructions from PET data,
MedImg(18), No. 4, April 1999, pp. 293-305.
IEEE Top Reference. 0110

See also Theoretical study of lesion detectability of MAP reconstruction using computer observers. BibRef

Qi, J.Y.[Jin-Yi], Leahy, R.M.,
Resolution and noise properties of MAP reconstruction for fully 3-D PET,
MedImg(19), No. 5, May 2000, pp. 493-506.
IEEE Top Reference. 0110
BibRef

Nichols, T.E., Qi, J.Y.[Jin-Yi], Asma, E., Leahy, R.M.,
Spatiotemporal reconstruction of list-mode PET data,
MedImg(21), No. 4, April 2002, pp. 396-404.
IEEE Top Reference. 0206

See also Theoretical study of lesion detectability of MAP reconstruction using computer observers. BibRef

Li, Q., Leahy, R.M.,
Statistical Modeling and Reconstruction of Randoms Precorrected PET Data,
MedImg(25), No. 12, December 2006, pp. 1565-1572.
IEEE DOI 0701
BibRef

Li, Q., Asma, E., Ahn, S., Leahy, R.M.,
A Fast Fully 4-D Incremental Gradient Reconstruction Algorithm for List Mode PET Data,
MedImg(26), No. 1, January 2007, pp. 58-67.
IEEE DOI 0701
BibRef

Li, Z., Li, Q., Yu, X., Conti, P.S., Leahy, R.M.,
Lesion Detection in Dynamic FDG-PET Using Matched Subspace Detection,
MedImg(28), No. 2, February 2009, pp. 230-240.
IEEE DOI 0902
BibRef

Li, Z., Li, Q., Pantazis, D., Yu, X., Conti, P.S., Leahy, R.M.,
Controlling Familywise Error Rate for Matched Subspace Detection in Dynamic FDG PET,
MedImg(28), No. 10, October 2009, pp. 1623-1631.
IEEE DOI 0910
BibRef

Asma, E., Leahy, R.M.,
Mean and Covariance Properties of Dynamic PET Reconstructions From List-Mode Data,
MedImg(25), No. 1, January 2006, pp. 42-54.
IEEE DOI 0601
BibRef

Cho, S.[Sanghee], Li, Q.Z.[Quan-Zheng], Ahn, S.[Sangtae], Bai, B.[Bing], Leahy, R.M.[Richard M.],
Iterative Image Reconstruction Using Inverse Fourier Rebinning for Fully 3-D PET,
MedImg(26), No. 5, May 2007, pp. 745-756.
IEEE DOI 0705
BibRef
And: Originally printed MedImg(26), No. 3, March 2007, pp. 347-358.
IEEE DOI 0703
BibRef

Kim, K.[Kyungsang], Wu, D.[Dufan], Gong, K.[Kuang], Dutta, J.[Joyita], Kim, J.H.[Jong Hoon], Son, Y.D.[Young Don], Kim, H.K.[Hang Keun], El Fakhri, G.[Georges], Li, Q.Z.[Quan-Zheng],
Penalized PET Reconstruction Using Deep Learning Prior and Local Linear Fitting,
MedImg(37), No. 6, June 2018, pp. 1478-1487.
IEEE DOI 1806
Computed tomography, Image quality, Image reconstruction, Machine learning, Noise level, Noise reduction, Training, DnCNN, PET, reconstruction BibRef

Gong, K.[Kuang], Guan, J.H.[Jia-Hui], Kim, K.[Kyungsang], Zhang, X.Z.[Xue-Zhu], Yang, J.W.[Jae-Won], Seo, Y.H.[Young-Ho], El Fakhri, G.[Georges], Qi, J.Y.[Jin-Yi], Li, Q.Z.[Quan-Zheng],
Iterative PET Image Reconstruction Using Convolutional Neural Network Representation,
MedImg(38), No. 3, March 2019, pp. 675-685.
IEEE DOI 1903
Image reconstruction, Biomedical imaging, Positron emission tomography, Optimization, Kernel, iterative reconstruction BibRef

Ahn, S.[Sangtae], Cho, S.[Sanghee], Li, Q.Z.[Quan-Zheng], Lin, Y.G.[Yan-Guang], Leahy, R.M.[Richard M.],
Optimal Rebinning of Time-of-Flight PET Data,
MedImg(30), No. 10, October 2011, pp. 1808-1818.
IEEE DOI 1110
BibRef

Gong, K.[Kuang], Catana, C.[Ciprian], Qi, J.Y.[Jin-Yi], Li, Q.Z.[Quan-Zheng],
PET Image Reconstruction Using Deep Image Prior,
MedImg(38), No. 7, July 2019, pp. 1655-1665.
IEEE DOI 1907
Image reconstruction, Training, Neural networks, Biomedical imaging, Kernel, Positron emission tomography, positron emission tomography BibRef

Li, T.T.[Tian-Tian], Zhang, M.X.[Meng-Xi], Qi, W.Y.[Wen-Yuan], Asma, E.[Evren], Qi, J.Y.[Jin-Yi],
Deep Learning Based Joint PET Image Reconstruction and Motion Estimation,
MedImg(41), No. 5, May 2022, pp. 1230-1241.
IEEE DOI 2205
Logic gates, Estimation, Motion estimation, Strain, Positron emission tomography, Image reconstruction, Optimization, PET BibRef

Gong, K.[Kuang], Catana, C.[Ciprian], Qi, J.Y.[Jin-Yi], Li, Q.Z.[Quan-Zheng],
Direct Reconstruction of Linear Parametric Images From Dynamic PET Using Nonlocal Deep Image Prior,
MedImg(41), No. 3, March 2022, pp. 680-689.
IEEE DOI 2203
Image reconstruction, Positron emission tomography, Kinetic theory, Imaging, Training, Mathematical models, Kernel, positron emission tomography BibRef

Chatziioannou, A., Qi, J., Moore, A., Annala, A., Nguyen, K., Leahy, R.M., Cherry, S.R.,
Comparison of 3-D maximum a posteriori and filtered backprojection algorithms for high-resolution animal imaging with microPET,
MedImg(19), No. 5, May 2000, pp. 507-512.
IEEE Top Reference. 0110
BibRef

Wang, G.B.[Guo-Bao], Qi, J.Y.[Jin-Yi],
Analysis of Penalized Likelihood Image Reconstruction for Dynamic PET Quantification,
MedImg(28), No. 4, April 2009, pp. 608-620.
IEEE DOI 0904
BibRef

Wang, G.B.[Guo-Bao], Qi, J.Y.[Jin-Yi],
Edge-Preserving PET Image Reconstruction Using Trust Optimization Transfer,
MedImg(34), No. 4, April 2015, pp. 930-939.
IEEE DOI 1504
Approximation algorithms BibRef

Wang, G.B.[Guo-Bao], Qi, J.Y.[Jin-Yi],
PET Image Reconstruction Using Kernel Method,
MedImg(34), No. 1, January 2015, pp. 61-71.
IEEE DOI 1502
expectation-maximisation algorithm
See also Bayesian Image Reconstruction for Improving Detection Performance of Muon Tomography. BibRef

Li, S.Q.[Si-Qi], Gong, K.[Kuang], Badawi, R.D.[Ramsey D.], Kim, E.J.[Edward J], Qi, J.Y.[Jin-Yi], Wang, G.[Guobao],
Neural KEM: A Kernel Method With Deep Coefficient Prior for PET Image Reconstruction,
MedImg(42), No. 3, March 2023, pp. 785-796.
IEEE DOI 2303
Kernel, Image reconstruction, Positron emission tomography, Optimization, Neural networks, Electronics packaging, Standards, deep image prior (DIP) BibRef

Wang, G.B.[Guo-Bao], Qi, J.Y.[Jin-Yi],
Generalized Algorithms for Direct Reconstruction of Parametric Images From Dynamic PET Data,
MedImg(28), No. 11, November 2009, pp. 1717-1726.
IEEE DOI 0911
BibRef

Wang, G.B.[Guo-Bao], Qi, J.Y.[Jin-Yi],
An Optimization Transfer Algorithm for Nonlinear Parametric Image Reconstruction From Dynamic PET Data,
MedImg(31), No. 10, October 2012, pp. 1977-1988.
IEEE DOI 1210
BibRef

Wang, G.B.[Guo-Bao], Qi, J.Y.[Jin-Yi],
Penalized Likelihood PET Image Reconstruction Using Patch-Based Edge-Preserving Regularization,
MedImg(31), No. 12, December 2012, pp. 2194-2204.
IEEE DOI 1212
BibRef

Li, Q., Asma, E., Qi, J., Bading, J.R., Leahy, R.M.,
Accurate Estimation of the Fisher Information Matrix for the PET Image Reconstruction Problem,
MedImg(23), No. 9, September 2004, pp. 1057-1064.
IEEE Abstract. 0409
BibRef

Qi, J.,
Analysis of Lesion Detectability in Bayesian Emission Reconstruction With Nonstationary Object Variability,
MedImg(23), No. 3, March 2004, pp. 321-329.
IEEE Abstract. 0403
BibRef

Soares, E.J., Byrne, C.L., Glick, S.J.,
Noise characterization of block-iterative reconstruction algorithms: I. Theory,
MedImg(19), No. 4, April 2000, pp. 261-270.
IEEE Top Reference. PET data 0110
BibRef

Soares, E.J., Glick, S.J., Hoppin, J.W.,
Noise characterization of block-iterative reconstruction algorithms: II. Monte Carlo simulations,
MedImg(24), No. 1, January 2005, pp. 112-121.
IEEE Abstract. 0501
BibRef

Johnson, C.A., Seidel, J., Sofer, A.,
Interior-point methodology for 3-D PET reconstruction,
MedImg(19), No. 4, April 2000, pp. 271-285.
IEEE Top Reference. 0110
BibRef

Obi, T., Matej, S., Lewitt, R.M., Herman, G.T.,
2.5-D simultaneous multislice reconstruction by series expansion methods from Fourier-rebinned PET data,
MedImg(19), No. 5, May 2000, pp. 474-484.
IEEE Top Reference. 0110
BibRef

Liu, X.[Xuan], Comtat, C., Michel, C., Kinahan, P.E., Defrise, M., Townsend, D.W.,
Comparison of 3-D reconstruction with 3D-OSEM and with FORE+OSEM for PET,
MedImg(20), No. 8, August 2001, pp. 804-814.
IEEE Top Reference. 0110
BibRef

Choi, Y.[Yong], Koo, J.Y.[Ja-Yong], Lee, N.Y.[Nam-Yong],
Image reconstruction using the wavelet transform for positron emission tomography,
MedImg(20), No. 11, November 2001, pp. 1188-1193.
IEEE Top Reference. 0111
BibRef

Qi, J., Huesman, R.H.,
Propagation of Errors From the Sensitivity Image in List Mode Reconstruction,
MedImg(23), No. 9, September 2004, pp. 1094-1099.
IEEE Abstract. 0409
BibRef

Qi, J., Huesman, R.H.,
Theoretical Study of Penalized-Likelihood Image Reconstruction for Region of Interest Quantification,
MedImg(25), No. 5, May 2006, pp. 640-648.
IEEE DOI 0605

See also Theoretical study of lesion detectability of MAP reconstruction using computer observers. BibRef

Anderson, J.M.M., Mair, B.A., Rao, M., Wu, C.H.,
Weighted least-squares reconstruction methods for positron emission tomography,
MedImg(16), No. 2, April 1997, pp. 159-165.
IEEE Top Reference. 0205
BibRef

Gregor, J., Huff, D.A.,
A focus-of-attention preprocessing scheme for EM-ML PET reconstruction,
MedImg(16), No. 2, April 1997, pp. 218-223.
IEEE Top Reference. 0205

See also Fast Feldkamp reconstruction based on focus of attention and distributed computing. BibRef

Lipinski, B., Herzog, H., Rota Kops, E., Oberschelp, W., Muller-Gartner, H.W.,
Expectation maximization reconstruction of positron emission tomography images using anatomical magnetic resonance information,
MedImg(16), No. 2, April 1997, pp. 129-136.
IEEE Top Reference. 0205
BibRef

Chinn, G., Huang, S.C.[Sung-Cheng],
A general class of preconditioners for statistical iterative reconstruction of emission computed tomography,
MedImg(16), No. 1, February 1997, pp. 1-10.
IEEE Top Reference. 0205
BibRef

Frese, T., Rouze, N.C., Bouman, C.A., Sauer, K.D., Hutchins, G.D.,
Quantitative comparison of FBP, EM, and bayesian reconstruction algorithms for the indyPET scanner,
MedImg(22), No. 2, February 2003, pp. 258-276.
IEEE Top Reference. 0304
BibRef

Brasse, D., Kinahan, P.E., Clackdoyle, R., Defrise, M., Comtat, C., Townsend, D.W.,
Fast fully 3-D image reconstruction in PET using planograms,
MedImg(23), No. 4, April 2004, pp. 413-425.
IEEE Abstract. 0406
BibRef

Mustafovic, S., Thielemans, K.,
Object dependency of resolution in reconstruction algorithms with interiteration filtering applied to PET data,
MedImg(23), No. 4, April 2004, pp. 433-446.
IEEE Abstract. 0406
BibRef

Chang, J.H., Anderson, J.M.M., Votaw, J.R.,
Regularized Image Reconstruction Algorithms for Positron Emission Tomography,
MedImg(23), No. 9, September 2004, pp. 1165-1175.
IEEE Abstract. 0409
BibRef

Mondal, P.P.[Partha P.], Rajan, K.,
Image reconstruction by conditional entropy maximisation for PET system,
VISP(151), No. 5, October 2004, pp. 345-352.
IEEE Abstract. 0501
BibRef

Mondal, P.P.[Partha P.], Rajan, K.,
Fuzzy-rule-based image reconstruction for positron emission tomography,
JOSA-A(22), No. 9, September 2005, pp. 1763-1771.
WWW Link. 0601
BibRef

Nuyts, J., Baete, K., Beque, D., Dupont, P.,
Comparison Between MAP and Postprocessed ML for Image Reconstruction in Emission Tomography When Anatomical Knowledge Is Available,
MedImg(24), No. 5, May 2005, pp. 667-675.
IEEE Abstract. 0505
BibRef

Kamasak, M.E., Bouman, C.A., Morris, E.D., Sauer, K.D.,
Direct Reconstruction of Kinetic Parameter Images From Dynamic PET Data,
MedImg(24), No. 5, May 2005, pp. 636-650.
IEEE Abstract. 0505
BibRef

Kamasak, M.E., Christian, B.T., Bouman, C.A., Morris, E.D.,
Quality and Precision of Parametric Images Created From PET Sinogram Data by Direct Reconstruction: Proof of Concept,
MedImg(33), No. 3, March 2014, pp. 695-707.
IEEE DOI 1404
image reconstruction BibRef

Panin, V.Y., Kehren, F., Michel, C., Casey, M.E.,
Fully 3-D PET Reconstruction With System Matrix Derived From Point Source Measurements,
MedImg(25), No. 7, July 2006, pp. 907-921.
IEEE DOI 0606
BibRef

Matej, S., Lewitt, R.M.,
3-FRP: Direct Fourier reconstruction with Fourier reprojection for fully 3-D PET,
NucSci(49), No. 4, August 2001, pp. 1378-1385. BibRef 0108

Matej, S., Kazantsev, I.G.,
Fourier-Based Reconstruction for Fully 3-D PET: Optimization of Interpolation Parameters,
MedImg(25), No. 7, July 2006, pp. 845-854.
IEEE DOI 0606
BibRef

Reader, A.J.[Andrew J.],
List-mode EM algorithms for limited precision high-resolution PET image reconstruction,
IJIST(14), No. 3, 2004, pp. 139-145.
DOI Link 0408
BibRef

Scheins, J.J., Boschen, F., Herzog, H.,
Analytical Calculation of Volumes-of-Intersection for Iterative, Fully 3-D PET Reconstruction,
MedImg(25), No. 10, October 2006, pp. 1363-1369.
IEEE DOI 0609
BibRef

Scheins, J.J., Herzog, H., Shah, N.J.,
Fully-3D PET Image Reconstruction Using Scanner-Independent, Adaptive Projection Data and Highly Rotation-Symmetric Voxel Assemblies,
MedImg(30), No. 3, March 2011, pp. 879-892.
IEEE DOI 1103
BibRef

Selivanov, V.V.[Vitali V.], Lepage, M.D.[Martin D.], Lecomte, R.[Roger],
List-mode image reconstruction for real-time PET imaging,
JVCIR(17), No. 3, June 2006, pp. 630-646.
Elsevier DOI 0711
Positron emission tomography; Tomographic reconstruction; List mode; Iterative algorithms; Regularized pseudo-inverse matrix; Truncated singular value decomposition BibRef

Hong, I.K., Chung, S.T., Kim, H.K., Kim, Y.B., Son, Y.D., Cho, Z.H.,
Ultra Fast Symmetry and SIMD-Based Projection-Backprojection (SSP) Algorithm for 3-D PET Image Reconstruction,
MedImg(26), No. 6, June 2007, pp. 789-803.
IEEE DOI 0706
BibRef

Ahn, S., Leahy, R.M.,
Analysis of Resolution and Noise Properties of Nonquadratically Regularized Image Reconstruction Methods for PET,
MedImg(27), No. 3, March 2008, pp. 413-424.
IEEE DOI 0803
BibRef

Verhaeghe, J., van de Ville, D., Khalidov, I., d'Asseler, Y., Lemahieu, I., Unser, M.,
Dynamic PET Reconstruction Using Wavelet Regularization With Adapted Basis Functions,
MedImg(27), No. 7, July 2008, pp. 943-959.
IEEE DOI 0808
BibRef

Kao, C.M.[Chien-Min], Zou, Y.[Yu], Cho, S.R.[Seung-Ryong], Pan, X.C.[Xiao-Chuan],
An Exact Analytic Approach To 3d Pet Image Reconstruction,
IJIG(7), No. 1, January 2007, pp. 35-54. 0701
BibRef

Kadrmas, D.J.,
Rotate-and-Slant Projector for Fast LOR-Based Fully-3-D Iterative PET Reconstruction,
MedImg(27), No. 8, August 2008, pp. 1071-1083.
IEEE DOI 0808
BibRef

Nuyts, J., Michel, C., Brepoels, L., Ceuninck, L.D., Deroose, C., Goffin, K., Mottaghy, F.M., Stroobants, S., Riet, J.V., Verscuren, R.,
Performance of MAP Reconstruction for Hot Lesion Detection in Whole-Body PET/CT: An Evaluation With Human and Numerical Observers,
MedImg(28), No. 1, January 2009, pp. 67-73.
IEEE DOI 0901
BibRef

Nuyts, J., Bal, G., Kehren, F., Fenchel, M., Michel, C., Watson, C.,
Completion of a Truncated Attenuation Image From the Attenuated PET Emission Data,
MedImg(32), No. 2, February 2013, pp. 237-246.
IEEE DOI 1301
BibRef

Vunckx, K., Zhou, L., Matej, S., Defrise, M., Nuyts, J.,
Fisher Information-Based Evaluation of Image Quality for Time-of-Flight PET,
MedImg(29), No. 2, February 2010, pp. 311-321.
IEEE DOI 1002
BibRef

Somayajula, S.[Sangeetha], Panagiotou, C.[Christos], Rangarajan, A., Li, Q., Arridge, S.R., Leahy, R.M.,
PET Image Reconstruction Using Information Theoretic Anatomical Priors,
MedImg(30), No. 3, March 2011, pp. 537-549.
IEEE DOI 1103
BibRef

Sitek, A.,
Reconstruction of Emission Tomography Data Using Origin Ensembles,
MedImg(30), No. 4, April 2011, pp. 946-956.
IEEE DOI 1104
BibRef

Sitek, A., Moore, S.C.,
Evaluation of Imaging Systems Using the Posterior Variance of Emission Counts,
MedImg(32), No. 10, 2013, pp. 1829-1839.
IEEE DOI 1311
image reconstruction BibRef

Teng, Y., Zhang, T.,
Generalized EM-Type Reconstruction Algorithms for Emission Tomography,
MedImg(31), No. 9, September 2012, pp. 1724-1733.
IEEE DOI 1209
BibRef

Yan, J., Planeta-Wilson, B., Carson, R.E.,
Direct 4-D PET List Mode Parametric Reconstruction With a Novel EM Algorithm,
MedImg(31), No. 12, December 2012, pp. 2213-2223.
IEEE DOI 1212
BibRef

Shi, L., Lu, Y., Wu, J., Gallezot, J., Boutagy, N., Thorn, S., Sinusas, A.J., Carson, R.E., Liu, C.,
Direct List Mode Parametric Reconstruction for Dynamic Cardiac SPECT,
MedImg(39), No. 1, January 2020, pp. 119-128.
IEEE DOI 2001
Image reconstruction, Single photon emission computed tomography, Myocardium, GPU acceleration BibRef

Salomon, A., Goldschmidt, B., Botnar, R., Kiessling, F., Schulz, V.,
A Self-Normalization Reconstruction Technique for PET Scans Using the Positron Emission Data,
MedImg(31), No. 12, December 2012, pp. 2234-2240.
IEEE DOI 1212
BibRef

Szirmay-Kalos, L., Magdics, M., Toth, B., Bukki, T.,
Averaging and Metropolis Iterations For Positron Emission Tomography,
MedImg(32), No. 3, March 2013, pp. 589-600.
IEEE DOI 1303
BibRef

Goedicke, A., Berker, Y., Verburg, F.A., Behrendt, F.F., Winz, O., Mottaghy, F.M.,
Study-Parameter Impact in Quantitative 90-Yttrium PET Imaging for Radioembolization Treatment Monitoring and Dosimetry,
MedImg(32), No. 3, March 2013, pp. 485-492.
IEEE DOI 1303
BibRef

Kon, T.[Tatsuya], Obi, T.[Takashi], Tashima, H.[Hideaki], Ohyama, N.[Nagaaki],
A Proposal of Spatio-Temporal Reconstruction Method Based on a Fast Block-Iterative Algorithm,
IEICE(E96-D), No. 4, April 2013, pp. 819-825.
WWW Link. 1304
BibRef

Chinn, G., Olcott, P.D., Levin, C.S.,
Sparse Signal Recovery Methods for Multiplexing PET Detector Readout,
MedImg(32), No. 5, May 2013, pp. 932-942.
IEEE DOI 1305
BibRef

Nguyen, V.G., Lee, S.J.,
Incorporating Anatomical Side Information Into PET Reconstruction Using Nonlocal Regularization,
IP(22), No. 10, 2013, pp. 3961-3973.
IEEE DOI 1309
Positron emission tomography (PET) BibRef

Keller, S.H., Svarer, C., Sibomana, M.,
Attenuation Correction for the HRRT PET-Scanner Using Transmission Scatter Correction and Total Variation Regularization,
MedImg(32), No. 9, 2013, pp. 1611-1621.
IEEE DOI 1309
Attenuation correction BibRef

Vaissier, P.E.B., Goorden, M.C., Taylor, A.B., Beekman, F.J.,
Fast Count-Regulated OSEM Reconstruction With Adaptive Resolution Recovery,
MedImg(32), No. 12, 2013, pp. 2250-2261.
IEEE DOI 1312
Acceleration BibRef

Lin, Y.G.[Yan-Guang], Haldar, J.P., Li, Q.Z.[Quan-Zheng], Conti, P.S., Leahy, R.M.,
Sparsity Constrained Mixture Modeling for the Estimation of Kinetic Parameters in Dynamic PET,
MedImg(33), No. 1, January 2014, pp. 173-185.
IEEE DOI 1402
biological tissues BibRef

Chapeau-Blondeau, F.[François], Jeanguillaume, C.[Christian],
Characterization of Maximum Likelihood Solutions to Image Reconstruction in Photon Emission Tomography,
JMIV(49), No. 2, June 2014, pp. 467-480.
Springer DOI 1405
BibRef

Rezaei, A., Defrise, M., Nuyts, J.,
ML-Reconstruction for TOF-PET With Simultaneous Estimation of the Attenuation Factors,
MedImg(33), No. 7, July 2014, pp. 1563-1572.
IEEE DOI 1407
Attenuation BibRef

Thiyagarajan, A.P.[Arun Prasath], Murugan, P.R.[Pallikonda Rajasekaran], Kannan, S.[Subramanian],
PET image reconstruction using ANN,
IJIST(24), No. 3, 2014, pp. 249-255.
DOI Link 1408
artificial neural network BibRef

Thiyagarajan, A.P.[Arun Prasath], Murugan, P.R.[Pallikonda Rajasekaran], Subramanian, K.[Kannan],
ANFIS-EM approach for PET brain image reconstruction,
IJIST(25), No. 1, 2015, pp. 1-6.
DOI Link 1502
PET brain image BibRef

van Slambrouck, K., Stute, S., Comtat, C., Sibomana, M., van Velden, F.H.P., Boellaard, R., Nuyts, J.,
Bias Reduction for Low-Statistics PET: Maximum Likelihood Reconstruction With a Modified Poisson Distribution,
MedImg(34), No. 1, January 2015, pp. 126-136.
IEEE DOI 1502
Poisson distribution BibRef

Cheng, X., Li, Z., Liu, Z., Navab, N., Huang, S.C., Keller, U., Ziegler, S.I., Shi, K.,
Direct Parametric Image Reconstruction in Reduced Parameter Space for Rapid Multi-Tracer PET Imaging,
MedImg(34), No. 7, July 2015, pp. 1498-1512.
IEEE DOI 1507
Heuristic algorithms BibRef

Ihsani, A., Farncombe, T.H.,
A Kernel Density Estimator-Based Maximum A Posteriori Image Reconstruction Method for Dynamic Emission Tomography Imaging,
IP(25), No. 5, May 2016, pp. 2233-2248.
IEEE DOI 1604
Data models BibRef

An, L.[Le], Zhang, P.[Pei], Adeli, E., Wang, Y.[Yan], Ma, G.K.[Guang-Kai], Shi, F., Lalush, D.S.[David S.], Lin, W.[Weili], Shen, D.G.[Ding-Gang],
Multi-Level Canonical Correlation Analysis for Standard-Dose PET Image Estimation,
IP(25), No. 7, July 2016, pp. 3303-3315.
IEEE DOI 1606
biological effects of radiation BibRef

Wang, Y.[Yan], Zhang, P.[Pei], An, L.[Le], Ma, G.K.[Guang-Kai], Kang, J.Y.[Jia-Yin], Wu, X.[Xi], Zhou, J.[Jiliu], Lalush, D.S.[David S.], Lin, W.[Weili], Shen, D.G.[Ding-Gang],
Predicting Standard-Dose PET Image from Low-Dose PET and Multimodal MR Images Using Mapping-Based Sparse Representation,
MLMI15(127-135).
Springer DOI 1511
BibRef

Kang, J.Y.[Jia-Yin], Gao, Y.Z.[Yao-Zong], Wu, Y.[Yao], Ma, G.K.[Guang-Kai], Shi, F.[Feng], Lin, W.[Weili], Shen, D.G.[Ding-Gang],
Prediction of Standard-Dose PET Image by Low-Dose PET and MRI Images,
MLMI14(280-288).
Springer DOI 1410
BibRef

Bickell, M.G., Zhou, L., Nuyts, J.,
Spatially Variant Resolution Modelling for Iterative List-Mode PET Reconstruction,
MedImg(35), No. 7, July 2016, pp. 1707-1718.
IEEE DOI 1608
Gaussian processes BibRef

Levin, C.S., Maramraju, S.H., Khalighi, M.M., Deller, T.W., Delso, G., Jansen, F.,
Design Features and Mutual Compatibility Studies of the Time-of-Flight PET Capable GE SIGNA PET/MR System,
MedImg(35), No. 8, August 2016, pp. 1907-1914.
IEEE DOI 1608
Detectors BibRef

Ehrhardt, M.J., Markiewicz, P., Liljeroth, M., Barnes, A., Kolehmainen, V., Duncan, J.S., Pizarro, L., Atkinson, D., Hutton, B.F., Ourselin, S., Thielemans, K., Arridge, S.R.,
PET Reconstruction With an Anatomical MRI Prior Using Parallel Level Sets,
MedImg(35), No. 9, September 2016, pp. 2189-2199.
IEEE DOI 1609
Image edge detection BibRef

Tsai, Y., Schramm, G., Ahn, S., Bousse, A., Arridge, S., Nuyts, J., Hutton, B.F., Stearns, C.W., Thielemans, K.,
Benefits of Using a Spatially-Variant Penalty Strength With Anatomical Priors in PET Reconstruction,
MedImg(39), No. 1, January 2020, pp. 11-22.
IEEE DOI 2001
Image reconstruction, Lesions, Perturbation methods, Convergence, Phantoms, linearized local perturbation response (LLPR) BibRef

Berg, E., Roncali, E., Hutchcroft, W., Qi, J., Cherry, S.R.,
Improving Depth, Energy and Timing Estimation in PET Detectors with Deconvolution and Maximum Likelihood Pulse Shape Discrimination,
MedImg(35), No. 11, November 2016, pp. 2436-2446.
IEEE DOI 1609
Crystals BibRef

Knoll, F., Holler, M., Koesters, T., Otazo, R., Bredies, K., Sodickson, D.K.,
Joint MR-PET Reconstruction Using a Multi-Channel Image Regularizer,
MedImg(36), No. 1, January 2017, pp. 1-16.
IEEE DOI 1701
Couplings BibRef

Hussein, S., Green, A., Watane, A., Reiter, D., Chen, X., Papadakis, G.Z., Wood, B., Cypess, A., Osman, M., Bagci, U.,
Automatic Segmentation and Quantification of White and Brown Adipose Tissues from PET/CT Scans,
MedImg(36), No. 3, March 2017, pp. 734-744.
IEEE DOI 1703
Computed tomography BibRef

Klyuzhin, I.S., Sossi, V.,
PET Image Reconstruction and Deformable Motion Correction Using Unorganized Point Clouds,
MedImg(36), No. 6, June 2017, pp. 1263-1275.
IEEE DOI 1706
Image reconstruction, Logic gates, Mathematical model, Positron emission tomography, Rodents, Deformation, Voronoi cell, image reconstruction, meshfree, motion correction, point, cloud BibRef

Tafsast, A.[Abdelghani], Hadjili, M.L.[Mohamed Laid], Bouakaz, A.[Ayache], Benoudjit, N.[Nabil],
Unsupervised cluster-based method for segmenting biological tumour volume of laryngeal tumours in 18F-FDG-PET images,
IET-IPR(11), No. 6, June 2017, pp. 389-396.
DOI Link 1706
BibRef

Freese, D.L., Hsu, D.F.C., Innes, D., Levin, C.S.,
Robust Timing Calibration for PET Using L1-Norm Minimization,
MedImg(36), No. 7, July 2017, pp. 1418-1426.
IEEE DOI 1707
Calibration, Crystals, Delays, Detectors, Minimization, Photonics, coincidence timing resolution, offset delay correction, positron emission tomography (PET), time-of-flight (TOF), timing alignment, timing, calibration BibRef

Miranda, A., Staelens, S., Stroobants, S., Verhaeghe, J.,
Fast and Accurate Rat Head Motion Tracking With Point Sources for Awake Brain PET,
MedImg(36), No. 7, July 2017, pp. 1573-1582.
IEEE DOI 1707
Adaptive optics, Head, Image reconstruction, Position measurement, Positron emission tomography, Rats, Tracking, Nuclear imaging, animal models and imaging, motion, compensation BibRef

Gong, K., Zhou, J., Tohme, M., Judenhofer, M., Yang, Y., Qi, J.,
Sinogram Blurring Matrix Estimation From Point Sources Measurements With Rank-One Approximation for Fully 3-D PET,
MedImg(36), No. 10, October 2017, pp. 2179-2188.
IEEE DOI 1710
Detectors, Estimation, Kernel, Photonics, Positron emission tomography, rank one approximation, resolution modeling, system, modeling BibRef

Mehranian, A., Belzunce, M.A., Prieto, C., Hammers, A., Reader, A.J.,
Synergistic PET and SENSE MR Image Reconstruction Using Joint Sparsity Regularization,
MedImg(37), No. 1, January 2018, pp. 20-34.
IEEE DOI 1801
biomedical MRI, image reconstruction, medical image processing, optimisation, positron emission tomography, ADMM optimization, PLS, total variation BibRef

Bergounioux, M.[Maitine], Papoutsellis, E.,
An Anisotropic Inf-Convolution BV Type Model for Dynamic Reconstruction,
SIIMS(11), No. 1, 2018, pp. 129-163.
DOI Link 1804
Apply to denoise, deblurring, tomography. BibRef

Hsu, D.F.C., Freese, D.L., Reynolds, P.D., Innes, D.R., Levin, C.S.,
Design and Performance of a 1 mm3 Resolution Clinical PET System Comprising 3-D Position Sensitive Scintillation Detectors,
MedImg(37), No. 4, April 2018, pp. 1058-1066.
IEEE DOI 1804
Breast, Crystals, Data acquisition, Detectors, Image resolution, Positron emission tomography, Biomedical imaging, system verifications BibRef

Tsai, Y.J., Bousse, A., Ehrhardt, M.J., Stearns, C.W., Ahn, S., Hutton, B.F., Arridge, S., Thielemans, K.,
Fast Quasi-Newton Algorithms for Penalized Reconstruction in Emission Tomography and Further Improvements via Preconditioning,
MedImg(37), No. 4, April 2018, pp. 1000-1010.
IEEE DOI 1804
Approximation algorithms, Convergence, Image reconstruction, Linear programming, Maximum likelihood estimation, Optimization, preconditioning BibRef

Yang, B., Ying, L., Tang, J.,
Artificial Neural Network Enhanced Bayesian PET Image Reconstruction,
MedImg(37), No. 6, June 2018, pp. 1297-1309.
IEEE DOI 1806
Bayes methods, Brain modeling, Image enhancement, Image reconstruction, Imaging, Iterative methods, maximum a posteriori image reconstruction BibRef

Ouerghi, H.[Hajer], Mourali, O.[Olfa], Zagrouba, E.[Ezzeddine],
Non-subsampled shearlet transform based MRI and PET brain image fusion using simplified pulse coupled neural network and weight local features in YIQ colour space,
IET-IPR(12), No. 10, October 2018, pp. 1873-1880.
DOI Link 1809
BibRef

Schramm, G., Holler, M., Rezaei, A., Vunckx, K., Knoll, F., Bredies, K., Boada, F., Nuyts, J.,
Evaluation of Parallel Level Sets and Bowsher's Method as Segmentation-Free Anatomical Priors for Time-of-Flight PET Reconstruction,
MedImg(37), No. 2, February 2018, pp. 590-603.
IEEE DOI 1802
Image reconstruction, Image resolution, Image segmentation, Level set, Positron emission tomography, positron emission tomography (PET) BibRef

Hong, X., Zan, Y., Weng, F., Tao, W., Peng, Q., Huang, Q.,
Enhancing the Image Quality via Transferred Deep Residual Learning of Coarse PET Sinograms,
MedImg(37), No. 10, October 2018, pp. 2322-2332.
IEEE DOI 1810
Crystals, Image quality, Positron emission tomography, Spatial resolution, Image reconstruction, transfer learning BibRef

Salvo, K., Defrise, M.,
A Convergence Proof of MLEM and MLEM-3 With Fixed Background,
MedImg(38), No. 3, March 2019, pp. 721-729.
IEEE DOI 1903
Convergence, Positron emission tomography, Image reconstruction, Data models, Photonics, Indexes, Maximum likelihood estimation, image reconstruction BibRef

Wang, G.,
High Temporal-Resolution Dynamic PET Image Reconstruction Using a New Spatiotemporal Kernel Method,
MedImg(38), No. 3, March 2019, pp. 664-674.
IEEE DOI 1903
Kernel, Image reconstruction, Spatiotemporal phenomena, Kinetic theory, Positron emission tomography, Correlation, spatiotemporal correlation BibRef

Filipovic, M., Barat, É., Dautremer, T., Comtat, C., Stute, S.,
PET Reconstruction of the Posterior Image Probability, Including Multimodal Images,
MedImg(38), No. 7, July 2019, pp. 1643-1654.
IEEE DOI 1907
Image reconstruction, Probability distribution, Uncertainty, Data models, Bayes methods, Mathematical model, Reliability, PET, spatial regularization BibRef

Lin, Y., Schmidtlein, C.R., Li, Q., Li, S., Xu, Y.,
A Krasnoselskii-Mann Algorithm With an Improved EM Preconditioner for PET Image Reconstruction,
MedImg(38), No. 9, September 2019, pp. 2114-2126.
IEEE DOI 1909
Image reconstruction, Convergence, TV, Positron emission tomography, Convex functions, Optimization, total variation BibRef

Gong, K., Berg, E., Cherry, S.R., Qi, J.,
Machine Learning in PET: From Photon Detection to Quantitative Image Reconstruction,
PIEEE(108), No. 1, January 2020, pp. 51-68.
IEEE DOI 2001
Photonics, Detectors, Machine learning, Image reconstruction, Deep learning, Positrons, Positron emission tomography, timing resolution BibRef

Scipioni, M., Pedemonte, S., Santarelli, M.F., Landini, L.,
Probabilistic Graphical Models for Dynamic PET: A Novel Approach to Direct Parametric Map Estimation and Image Reconstruction,
MedImg(39), No. 1, January 2020, pp. 152-160.
IEEE DOI 2001
Kinetic theory, Image reconstruction, Probabilistic logic, Uncertainty, Computational modeling, Photonics, Graphical models, probabilistic graphical modeling BibRef

Bousse, A., Courdurier, M., Émond, É., Thielemans, K., Hutton, B.F., Irarrazaval, P., Visvikis, D.,
PET Reconstruction With Non-Negativity Constraint in Projection Space: Optimization Through Hypo-Convergence,
MedImg(39), No. 1, January 2020, pp. 75-86.
IEEE DOI 2001
Image reconstruction, Maximum likelihood estimation, Positron emission tomography, Convergence, Linear programming, hypo-convergence BibRef

Huang, J., Mou, T., O'Regan, K., O'Sullivan, F.,
Spatial Auto-Regressive Analysis of Correlation in 3-D PET With Application to Model-Based Simulation of Data,
MedImg(39), No. 4, April 2020, pp. 964-974.
IEEE DOI 2004
Quality assurance, simulation, spatial autocorrelation, PET, iterative EM reconstruction, gamma distribution, standard errors BibRef

Rezaei, A., Schramm, G., van Laere, K., Nuyts, J.,
Estimation of Crystal Timing Properties and Efficiencies for the Improvement of (Joint) Maximum-Likelihood Reconstructions in TOF-PET,
MedImg(39), No. 4, April 2020, pp. 952-963.
IEEE DOI 2004
Time of flight (TOF), positron emission tomography (PET), timing calibration, joint reconstruction BibRef

Millardet, M., Moussaoui, S., Mateus, D., Idier, J., Carlier, T.,
Local-Mean Preserving Post-Processing Step for Non-Negativity Enforcement in PET Imaging: Application to 90Y-PET,
MedImg(39), No. 11, November 2020, pp. 3725-3736.
IEEE DOI 2011
Imaging, Linear programming, Image reconstruction, Laplace equations, Optimization, optimization BibRef

Jansen, F.P., Deller, T.W., Fries, M.D., Khalighi, M.M., White, S.L., Radford, L.L., McConathy, J.E., Lapi, S.E.,
Real-Time Gain Control of PET Detectors and Evaluation With Challenging Radionuclides,
MedImg(40), No. 1, January 2021, pp. 71-80.
IEEE DOI 2012
Detectors, Gain control, Measurement, Real-time systems, Positron emission tomography, PET/MR BibRef

Crisci, S., Piana, M., Ruggiero, V., Scussolini, M.,
A Regularized Affine-Scaling Trust-Region Method for Parametric Imaging of Dynamic PET Data,
SIIMS(14), No. 1, 2021, pp. 418-439.
DOI Link 2104
BibRef

Polycarpou, I.[Irene], Soultanidis, G.[Georgios], Tsoumpas, C.[Charalampos],
Synthesis of Realistic Simultaneous Positron Emission Tomography and Magnetic Resonance Imaging Data,
MedImg(37), No. 3, March 2018, pp. 703-711.
IEEE DOI 1804
biomedical MRI, diseases, image reconstruction, image registration, medical image processing, motion compensation, phantoms, phantoms BibRef

Polycarpou, I.[Irene], Soultanidis, G.[Georgios], Tsoumpas, C.[Charalampos],
Synergistic motion compensation strategies for positron emission tomography when acquired simultaneously with magnetic resonance imaging,
Royal(A: 379), No. 2204, August 2021, pp. 20200207.
DOI Link 2107
MRI. BibRef

Brown, R.[Richard], Kolbitsch, C.[Christoph], Delplancke, C.[Claire], Papoutsellis, E.[Evangelos], Mayer, J.[Johannes], Ovtchinnikov, E.[Evgueni], Pasca, E.[Edoardo], Neji, R.[Radhouene], da Costa-Luis, C.[Casper], Gillman, A.G.[Ashley G.], Ehrhardt, M.J.[Matthias J.], McClelland, J.R.[Jamie R.], Eiben, B.[Bjoern], Thielemans, K.[Kris],
Motion estimation and correction for simultaneous PET/MR using SIRF and CIL,
Royal(A: 379), No. 2204, August 2021, pp. 20200208.
DOI Link 2107
MRI. BibRef

Li, S.Q.[Si-Qi], Wang, G.B.[Guo-Bao],
Modified kernel MLAA using autoencoder for PET-enabled dual-energy CT,
Royal(A: 379), No. 2204, August 2021, pp. 20200204.
DOI Link 2107
BibRef

Celik, A.A.[A. Avdo], Choi, C.H.[Chang-Hoon], Tellmann, L.[Lutz], Rick, C.[Claire], Shah, N.J.[N. Jon], Felder, J.[Jörg],
Design and Construction of a PET-Compatible Double-Tuned 1H/31P MR Head Coil,
MedImg(40), No. 8, August 2021, pp. 2015-2022.
IEEE DOI 2108
Radio frequency, Protons, Capacitors, Imaging, Absorption, Magnetic resonance imaging, Head, ¹H/³¹P, double-tuned RF coil, simultaneous PET-MR BibRef

Abouhawwash, M.[Mohamed], Alessio, A.M.[Adam M.],
Multi-Objective Evolutionary Algorithm for PET Image Reconstruction: Concept,
MedImg(40), No. 8, August 2021, pp. 2142-2151.
IEEE DOI 2108
Image reconstruction, Optimization, Statistics, Sociology, Positron emission tomography, Tomography, Genetic algorithms, emission tomography BibRef

Zhou, B.[Bo], Tsai, Y.J.[Yu-Jung], Chen, X.C.[Xiong-Chao], Duncan, J.S.[James S.], Liu, C.[Chi],
MDPET: A Unified Motion Correction and Denoising Adversarial Network for Low-Dose Gated PET,
MedImg(40), No. 11, November 2021, pp. 3154-3164.
IEEE DOI 2111
Logic gates, Noise reduction, Motion estimation, Positron emission tomography, Image reconstruction, deep learning BibRef

Yang, B.[Bao], Wang, X.[Xinhui], Li, A.[Andi], Moody, J.B.[Jonathan B.], Tang, J.[Jing],
Dictionary Learning Constrained Direct Parametric Estimation in Dynamic Myocardial Perfusion PET,
MedImg(40), No. 12, December 2021, pp. 3485-3497.
IEEE DOI 2112
Image reconstruction, Heuristic algorithms, Positron emission tomography, Myocardium, Kinetic theory, Imaging, sparse representation BibRef

Hu, S.Y.[Sheng-Ye], Lei, B.Y.[Bai-Ying], Wang, S.Q.[Shu-Qiang], Wang, Y.[Yong], Feng, Z.G.[Zhi-Guang], Shen, Y.Y.[Yan-Yan],
Bidirectional Mapping Generative Adversarial Networks for Brain MR to PET Synthesis,
MedImg(41), No. 1, January 2022, pp. 145-157.
IEEE DOI 2201
Generators, Generative adversarial networks, Positron emission tomography, Training, Image synthesis, bidirectional mapping mechanism BibRef

Zhou, Y.[Yang], Yang, Z.W.[Zhi-Wen], Zhang, H.[Hui], Chang, E.I.C.[Eric I-Chao], Fan, Y.[Yubo], Xu, Y.[Yan],
3D Segmentation Guided Style-Based Generative Adversarial Networks for PET Synthesis,
MedImg(41), No. 8, August 2022, pp. 2092-2104.
IEEE DOI 2208
Image segmentation, Task analysis, Positron emission tomography, Modulation, Image synthesis, Generators, PET, GAN, style modulation, segmentation BibRef

Guo, J.F.[Jian-Feng], Schmidtlein, C.R.[C. Ross], Krol, A.[Andrzej], Li, S.[Si], Lin, Y.Z.[Yi-Zun], Ahn, S.[Sangtae], Stearns, C.[Charles], Xu, Y.S.[Yue-Sheng],
A Fast Convergent Ordered-Subsets Algorithm With Subiteration-Dependent Preconditioners for PET Image Reconstruction,
MedImg(41), No. 11, November 2022, pp. 3289-3300.
IEEE DOI 2211
Image reconstruction, Positron emission tomography, Convergence, Germanium, Phantoms, Cancer, Software algorithms, relative difference prior BibRef

Li, S.Q.[Si-Qi], Wang, G.B.[Guo-Bao],
Deep Kernel Representation for Image Reconstruction in PET,
MedImg(41), No. 11, November 2022, pp. 3029-3038.
IEEE DOI 2211
Kernel, Image reconstruction, Positron emission tomography, Neural networks, Feature extraction, Data models, Tomography, neural networks BibRef

Twyman, R.[Robert], Arridge, S.[Simon], Kereta, Z.[Zeljko], Jin, B.[Bangti], Brusaferri, L.[Ludovica], Ahn, S.[Sangtae], Stearns, C.W.[Charles W.], Hutton, B.F.[Brian F.], Burger, I.A.[Irene A.], Kotasidis, F.[Fotis], Thielemans, K.[Kris],
An Investigation of Stochastic Variance Reduction Algorithms for Relative Difference Penalized 3D PET Image Reconstruction,
MedImg(42), No. 1, January 2023, pp. 29-41.
IEEE DOI 2301
Image reconstruction, Convergence, Positron emission tomography, Linear programming, Stochastic processes, Optimization, Indexes, relative difference penalty BibRef

Ote, K.[Kibo], Hashimoto, F.[Fumio], Onishi, Y.[Yuya], Isobe, T.[Takashi], Ouchi, Y.[Yasuomi],
List-Mode PET Image Reconstruction Using Deep Image Prior,
MedImg(42), No. 6, June 2023, pp. 1822-1834.
IEEE DOI 2306
Image reconstruction, Positron emission tomography, Electronics packaging, Convolutional neural networks, unsupervised learning BibRef

Guo, S.[Shiyao], Sheng, Y.X.[Yu-Xia], Chai, L.[Li], Zhang, J.X.[Jing-Xin],
PET Image Reconstruction With Kernel and Kernel Space Composite Regularizer,
MedImg(42), No. 6, June 2023, pp. 1786-1798.
IEEE DOI 2306
Kernel, Image reconstruction, Optimization, Iterative methods, Sensitivity, Maximum likelihood estimation, Lesions, kernel space energy regularizer BibRef

Zhang, Q.Y.[Qi-Yang], Hu, Y.Y.[Ying-Ying], Zhao, Y.[Yumo], Cheng, J.[Jing], Fan, W.[Wei], Hu, D.B.[De-Bin], Shi, F.X.[Fu-Xiao], Cao, S.L.[Shuang-Liang], Zhou, Y.[Yun], Yang, Y.F.[Yong-Feng], Liu, X.[Xin], Zheng, H.R.[Hai-Rong], Liang, D.[Dong], Hu, Z.L.[Zhan-Li],
Deep Generalized Learning Model for PET Image Reconstruction,
MedImg(43), No. 1, January 2024, pp. 122-134.
IEEE DOI 2401
BibRef


Rossignol, C.[Claire], Sureau, F.[Florent], Chouzenoux, E.[Emilie], Comtat, C.[Claude], Pesquet, J.C.[Jean-Christophe],
A Bregman Majorization-Minimization Framework for Pet Image Reconstruction,
ICIP22(1736-1740)
IEEE DOI 2211
Neurology, Inverse problems, Heuristic algorithms, Graphics processing units, Programming, Oncology, GPU implementation BibRef

Boudjelal, A.[Abdelwahhab], El Moataz, A.[Abderrahim], Messali, Z.[Zoubeida],
A New Method of Image Reconstruction for PET Using a Combined Regularization Algorithm,
ICISP20(178-185).
Springer DOI 2009
BibRef

Yamaya, T.,
Plenary speaker: Development of the next generation positron emission tomography,
IVPR17(1-1)
IEEE DOI 1704
Atmospheric measurements BibRef

Abbas, S.T.[Syed Tabish], Sivaswamy, J.[Jayanthi],
PET image reconstruction and denoising on hexagonal lattices,
ICIP15(3481-3485)
IEEE DOI 1512
Denoising; Hexagonal lattice; Image Reconstruction; PET Images BibRef

Bilgel, M.[Murat], Carass, A.[Aaron], Resnick, S.M.[Susan M.], Wong, D.F.[Dean F.], Prince, J.L.[Jerry L.],
Deformation Field Correction for Spatial Normalization of PET Images Using a Population-Derived Partial Least Squares Model,
MLMI14(198-206).
Springer DOI 1410
BibRef

Sun, Y.P.[Yi-Peng], Tao, X.M.[Xiao-Ming], Li, Y.[Yang], Fall, M.D.[Marne Diarra], Barai, E.[Eric], Comtat, C.[Claude], Dautremer, T.[Thomas], Montagu, T.[Thierry], Stute, S.[Simon],
Dynamic and clinical PET data reconstruction: A nonparametric Bayesian approach,
ICIP13(345-349)
IEEE DOI 1402
Bayes methods BibRef

Sroubek, F.[Filip], Sorel, M.[Michal], Boldys, J.[Jiri], Sroubek, J.[Jan],
PET image reconstruction using prior information from CT or MRI,
ICIP09(2493-2496).
IEEE DOI 0911
BibRef

Jin, M.W.[Ming-Wu], Yang, Y.Y.[Yong-Yi], Wernick, M.N.[Miles N.],
Dynamic Image Reconstruction Using Temporally Adaptive Regularization for Emission Tomography,
ICIP07(IV: 141-144).
IEEE DOI 0709

See also Gated Dynamic Image Reconstruction Using Temporal B-Splines. BibRef

Yan, J.H.[Jian-Hua], Yu, J.[Jun],
A Nonlinear Variational Model for PET Reconstruction,
ICPR06(IV: 699-702).
IEEE DOI 0609
BibRef

Liu, H.F.[Hua-Feng], Jiang, X.N.[Xiao-Na], Shi, P.C.[Peng-Cheng],
Uncertainty Penalized Weighted Least Squares Framework for PET Reconstruction Under Uncertain System Models,
ICIP05(III: 736-739).
IEEE DOI 0512
BibRef

Frese, T., Bouman, C.,
Bayesian Multiresolution Algorithm for PET Reconstruction,
ICIP00(Vol II: 613-616).
IEEE DOI 0008
BibRef

Bonneville, M., Meunier, J., Roy, S.,
Graph cut: application to Bayesian emission tomography reconstruction,
CIAP99(1184-1189).
IEEE DOI 9909
BibRef

Velipasaoglu, E.O., Ersoy, O.K.,
Optimal block-size selection for iterative reconstruction of images from projections,
ICIP98(II: 676-679).
IEEE DOI 9810
BibRef
Earlier:
Block iterative methods for Bayesian segmentation of positron emission tomography images,
ICIP96(II: 269-272).
IEEE DOI 9610
BibRef

Furuie, S.S., Herman, G.T., Mascarenhas, N.D.A., Matej, S.,
Projection estimation in 3D PET reconstruction: a statistical evaluation,
ICIP95(I: 618-621).
IEEE DOI 9510
BibRef

Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Positron Emission Tomography, Fessler Group Papers .


Last update:Mar 16, 2024 at 20:36:19