21.8.10 Positron Emission Tomography -- PET

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

Synergistic Image Reconstruction Framework SIRF,
2017. Code, PET Reconstruction. Code, MR Reconstruction.
WWW Link. 1706
MATLAB and Python.

Kaufman, L., Neumaier, A.,
PET regularization by envelope guided conjugate gradients,
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Muzic, Jr., R.F., Nelson, A.D., Saidel, G.M., Miraldi, F.,
Optimal experiment design for PET quantification of receptor concentration,
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Muzic, Jr., R.F., Saidel, G.M.,
Distributed versus compartment models for PET receptor studies,
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Mair, B.A., Gilland, D.R., Sun, J.[Jing],
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Votaw, J.R.,
Signal-to-noise ratio in neuro activation PET studies,
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van Hulle, M.M.,
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Muzic, R.F., Chen, C.H., Nelson, A.D.,
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Chen, C.H., Muzic, R.F., Nelson, A.D., Adler, L.P.,
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Parra, L., Barrett, H.H.,
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Vunckx, K., Atre, A., Baete, K., Reilhac, A., Deroose, C.M., van Laere, K., Nuyts, J.,
Evaluation of Three MRI-Based Anatomical Priors for Quantitative PET Brain Imaging,
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Bentourkia, M., Lecomte, R.,
Energy dependence of nonstationary scatter subtraction-restoration in high resolution PET,
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O'Sullivan, F., Saha, A.,
Use of ridge regression for improved estimation of kinetic constants from PET data,
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Kjems, U., Strother, S.C., Anderson, J., Law, I., Hansen, L.K.,
Enhancing the multivariate signal of O15 water PET studies with a new nonlinear neuroanatomical registration algorithm,
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MRI application BibRef

Defrise, M., Kinahan, P.E., Townsend, D.W., Michel, C., Sibomana, M., Newport, D.F.,
Exact and approximate rebinning algorithms for 3-D PET data,
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Liu, X.[Xuan], Defrise, M., Michel, C., Sibomana, M., Comtat, C., Kinahan, P.E., Townsend, D.W.,
Exact rebinning methods for three-dimensional PET,
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Li, X.J.[Xian-Jin], Feng, D.D.[David Dagan], Chen, K.W.[Ke-Wei],
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Li, X.J.[Xian-Jin], Feng, D.D.[David Dagan], Chen, K.W.[Ke-Wei],
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Ferreira, N.C., Trebossen, R., Comtat, C., Gregoire, M.C., Bendriem, B.,
Iterative crystal efficiency calculation in fully 3-D PET,
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IEEE Top Reference. 0110
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Cherry, S.R., Louie, A.Y., Jacobs, R.E.,
The Integration of Positron Emission Tomography With Magnetic Resonance Imaging,
PIEEE(96), No. 3, March 2008, pp. 416-438.
IEEE DOI 0804
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Kustra, R., Strother, S.,
Penalized discriminant analysis of 15-O-water PET brain images with prediction error selection of smoothness and regularization hyperparameters,
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IEEE Top Reference. 0110
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Schmidt, K., Sokoloff, L.,
A computationally efficient algorithm for determining regional cerebral blood flow in heterogeneous tissues by positron emission tomography,
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Laymon, C.M., Turkington, T.G.,
Calculation of attenuation factors from combined singles and coincidence emission projections,
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Zhang, S.[Song], Wang, Y.M.[Yuan Mei],
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SP(81), No. 5, May 2001, pp. 1069-1074.
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Wang, Y.M.[Yuan-Mei],
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Wang, Y.M.[Yuan-Mei], Heng, P.A.[Pheng Ann],
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de Pierro, A.R., Yamagishi, M.E.B.,
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Pellot-Barakat, C., Ivanovic, M., Herment, A., Erlandsson, K., Shelton, D.K.,
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Byrne, C.,
Likelihood maximization for list-mode emission tomographic image reconstruction,
MedImg(20), No. 10, October 2001, pp. 1084-1092.
IEEE Top Reference. 0111
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Huang, C.L.[Chung-Lin], Chang, W.T.[Wen-Tsang], Wu, L.C.[Liang-Chih], Wang, J.K.[Jiunn-Kuen],
Three-dimensional PET emission scan registration and transmission scan synthesis,
MedImg(16), No. 5, October 1997, pp. 542-561.
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Huesman, R.H., Coxson, P.G.,
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Klein, G.J., Teng, X., Jagust, W.J., Eberling, J.L., Acharya, A., Reutter, B.W., Huesman, R.H.,
A methodology for specifying PET VOIs using multimodality techniques,
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Klein, G.J., Reutter, B.W., Botvinick, E.H., Budinger, T.F., Huesman, R.H.,
Fine-Scale Motion Detection Using Intrinsic List Mode PET Information,
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Weber, S., Terstegge, A., Herzog, H., Reinartz, R., Reinhart, P., Rongen, F., Muller-Garmer, H.W., Halling, H.,
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Barnes, D., Egan, G., O'Keefe, G., Abbott, D.,
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Picard, Y., Thompson, C.J.,
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Thie, J.A., Smith, G.T., Hubner, K.F.,
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Endo, S., Toyama, H., Kimura, Y., Ishii, K., Senda, M., Kiyosawa, M., Uchiyama, A.,
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Pratx, G., Chinn, G., Olcott, P.D., Levin, C.S.,
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MedImg(15), No. 4, August 1996, pp. 512-518.
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Stodilka, R.Z., Soares, E.J., Glick, S.J.,
Characterization of tomographic sampling in hybrid PET using the fourier crosstalk matrix,
MedImg(21), No. 12, December 2002, pp. 1468-1478.
IEEE Top Reference. 0301
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Turkheimer, F.E., Aston, J.A.D., Banati, R.B., Riddell, C., Cunningham, V.J.,
A linear wavelet filter for parametric imaging with dynamic PET,
MedImg(22), No. 3, March 2003, pp. 289-301.
IEEE Abstract. 0306
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Bertoldo, A., Sparacino, G., Cobelli, C.,
'Population' Approach Improves Parameter Estimation of Kinetic Models From Dynamic PET Data,
MedImg(23), No. 3, March 2004, pp. 297-306.
IEEE Abstract. 0403
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Kacperski, K., Spyrou, N.M., Smith, F.A.,
Three-gamma annihilation imaging in positron emission tomography,
MedImg(23), No. 4, April 2004, pp. 525-529.
IEEE Abstract. 0406
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de Kerleau, C.C., Crouzet, J.F., Ahronovitz, E., Rossi, M., Mariano-Goulart, D.,
Automatic generation of noise-free time-activity curve with gated blood-pool emission tomography using deformation of a reference curve,
MedImg(23), No. 4, April 2004, pp. 485-491.
IEEE Abstract. 0406
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Buhler, P., Just, U., Will, E., Kotzerke, J., van den Hoff, J.,
An Accurate Method for Correction of Head Movement in PET,
MedImg(23), No. 9, September 2004, pp. 1176-1185.
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Koronacki, J.[Jacek], Lasota, S.[Slawomir], Niemiro, W.[Wojciech],
Positron emission tomography by Markov chain Monte Carlo with auxiliary variables,
PR(38), No. 2, February 2005, pp. 241-250.
Elsevier DOI 0411

See also version of the Swendsen-Wang algorithm for restoration of images degraded by Poisson noise, A. BibRef

Pawitan, Y., Bettinardi, V., Teras, M.,
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MedImg(24), No. 1, January 2005, pp. 122-129.
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Anderson, J.M.M., Srinivasan, R., Mair, B.A., Votaw, J.R.,
Accelerated Penalized Weighted Least-Squares and Maximum Likelihood Algorithms for Reconstructing Transmission Images from PET Transmission Data,
MedImg(24), No. 3, March 2005, pp. 337-351.
IEEE Abstract. 0501
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Constantinescu, C.C., Bouman, C., Morris, E.D.,
Nonparametric Extraction of Transient Changes in Neurotransmitter Concentration From Dynamic PET Data,
MedImg(26), No. 3, March 2007, pp. 359-373.
IEEE DOI 0703
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Thompson, C.J., Goertzen, A.L.,
A Method for Determination of the Timing Stability of PET Scanners,
MedImg(24), No. 8, August 2005, pp. 1053-1057.
IEEE DOI 0508
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Moore, S.C., Foley Kijewski, M.F., El Fakhri, G.,
Collimator Optimization for Detection and Quantitation Tasks: Application to Gallium-67 Imaging,
MedImg(24), No. 10, October 2005, pp. 1347-1356.
IEEE DOI 0510
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Kennedy, J.A., Israel, O., Frenkel, A., Bar-Shalom, R., Azhari, H.,
Super-Resolution in PET Imaging,
MedImg(25), No. 2, February 2006, pp. 137-147.
IEEE DOI 0602
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Alessio, A.M., Kinahan, P.E., Lewellen, T.K.,
Modeling and Incorporation of System Response Functions in 3-D Whole Body PET,
MedImg(25), No. 7, July 2006, pp. 828-837.
IEEE DOI 0606
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Posnansky, O.[Oleg], Kupriyanova, Y.[Yuliya], Shah, N.J.[N. Jon],
On the problem of gradient calibration in diffusion weighted imaging,
IJIST(21), No. 3, September 2011, pp. 271-279.
DOI Link 1109
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Reilhac, A., Evans, A.C., Gimenez, G., Costes, N.,
Creation and Application of a Simulated Database of Dynamic 18-F MPPF PET Acquisitions Incorporating Inter-Individual Anatomical and Biological Variability,
MedImg(25), No. 11, November 2006, pp. 1431-1439.
IEEE DOI 0611
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Strauss, L.G., Pan, L., Koczan, D., Klippel, S., Mikolajczyk, K., Burger, C., Haberkorn, U., Schonleben, K., Thiesen, H.J., Dimitrakopoulou-Strauss, A.,
Fusion of Positron Emission Tomography (PET) and Gene Array Data: A New Approach for the Correlative Analysis of Molecular Biological and Clinical Data,
MedImg(26), No. 6, June 2007, pp. 804-812.
IEEE DOI 0706
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Ben Bouallegue, F., Crouzet, F., Comtat, C., Fourcade, M., Mohammadi, B., Mariano-Goulart, D.,
Exact and Approximate Fourier Rebinning Algorithms for the Solution of the Data Truncation Problem in 3-D PET,
MedImg(26), No. 7, July 2007, pp. 1001-1009.
IEEE DOI 0707
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Schmitz, R.E., Harrison, R.L., Stearns, C.W., Lewellen, T.K., Kinahan, P.E.,
Optimization of Noise Equivalent Count Rate Performance for a Partially Collimated PET Scanner by Varying the Number of Septa,
MedImg(26), No. 7, July 2007, pp. 935-944.
IEEE DOI 0707
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Hunter, W.C.J., Barrett, H.H., Lewellen, T.K., Miyaoka, R.S.,
Multiple-Hit Parameter Estimation in Monolithic Detectors,
MedImg(32), No. 2, February 2013, pp. 329-337.
IEEE DOI 1301
Interaction position of gamma rays with multiple interaction sites. BibRef

Maroy, R., Boisgard, R., Comtat, C., Frouin, V., Cathier, P., Duchesnay, E., Dolle, F., Nielsen, P.E., Trebossen, R., Tavitian, B.,
Segmentation of Rodent Whole-Body Dynamic PET Images: An Unsupervised Method Based on Voxel Dynamics,
MedImg(27), No. 3, March 2008, pp. 342-354.
IEEE DOI 0803
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van der Voort, E., Sossi, V.,
An Analytical Scatter Correction for Singles-Mode Transmission Data in PET,
MedImg(27), No. 3, March 2008, pp. 402-412.
IEEE DOI 0803
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Ziegler, S.I.,
Development of a Small-Animal PET System,
PIEEE(93), No. 4, April 2005, pp. 763-770.
IEEE DOI 0504
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Park, J.M., Gambhir, S.S.,
Multimodality Radionuclide, Fluorescence, and Bioluminescence Small-Animal Imaging,
PIEEE(93), No. 4, April 2005, pp. 771-783.
IEEE DOI 0504
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Levin, C.S.,
New Imaging Technologies to Enhance the Molecular Sensitivity of Positron Emission Tomography,
PIEEE(96), No. 3, March 2008, pp. 439-467.
IEEE DOI 0804
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Ma, J., Hudson, M.,
Block-Iterative Fisher Scoring Algorithms for Maximum Penalized Likelihood Image Reconstruction in Emission Tomography,
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Kadrmas, D.J., Casey, M.E., Black, N.F., Hamill, J.J., Panin, V.Y., Conti, M.,
Experimental Comparison of Lesion Detectability for Four Fully-3D PET Reconstruction Schemes,
MedImg(28), No. 4, April 2009, pp. 523-534.
IEEE DOI 0904
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Rahmim, A., Dinelle, K., Cheng, J.C., Shilov, M.A., Segars, W.P., Lidstone, S.C., Blinder, S., Rousset, O.G., Vajihollahi, H., Tsui, B.M.W., Wong, D.F., Sossi, V.,
Accurate Event-Driven Motion Compensation in High-Resolution PET Incorporating Scattered and Random Events,
MedImg(27), No. 8, August 2008, pp. 1018-1033.
IEEE DOI 0808
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Champley, K., Defrise, M., Clackdoyle, R., Raylman, R.R., Kinahan, P.E.,
Planogram Rebinning With the Frequency-Distance Relationship,
MedImg(27), No. 7, July 2008, pp. 925-933.
IEEE DOI 0808
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Chen, Z.[Zhe], Feng, D.D.[David Dagan], Cai, W.D.[Wei-Dong],
Temporal And Spatial Compression Of Dynamic Positron Emission Tomography In Sinogram Domain,
IJIG(5), No. 4, October 2005, pp. 839-858. 0510
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Peng, J.Y., Aston, J.A.D., Gunn, R.N., Liou, C.Y., Ashburner, J.,
Dynamic Positron Emission Tomography Data-Driven Analysis Using Sparse Bayesian Learning,
MedImg(27), No. 9, September 2008, pp. 1356-1369.
IEEE DOI 0809
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Defrise, M., Panin, V.Y., Michel, C., Casey, M.E.,
Continuous and Discrete Data Rebinning in Time-of-Flight PET,
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Schretter, C.,
Event-by-Event Image Reconstruction From List-Mode PET Data,
IP(18), No. 1, January 2009, pp. 117-124.
IEEE DOI 0812
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El Naqa, I., Grigsby, P.W., Apte, A., Kidd, E., Donnelly, E., Khullar, D., Chaudhari, S., Yang, D., Schmitt, M., Laforest, R.[Richard], Thorstad, W.L., Deasy, J.O.,
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Positron emission tomography; Treatment outcomes; Uptake values; Image morphology; Intensity-volume histograms; Co-occurrence matrix; Tumor shape; Tumor heterogeneity BibRef

Yu, H., Caldwell, C., Mah, K., Mozeg, D.,
Coregistered FDG PET/CT-Based Textural Characterization of Head and Neck Cancer for Radiation Treatment Planning,
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Alrefaya, M.[Musa], Sahli, H.[Hichem], Vanhamel, I.[Iris], Hao, D.N.[Dinh Nho],
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Hatt, M., Cheze Le Rest, C., Turzo, A., Roux, C., Visvikis, D.,
A Fuzzy Locally Adaptive Bayesian Segmentation Approach for Volume Determination in PET,
MedImg(28), No. 6, June 2009, pp. 881-893.
IEEE DOI 0906
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McQuaid, S.J., Lambrou, T., Cunningham, V.J., Bettinardi, V., Gilardi, M.C., Hutton, B.F.,
The Application of a Statistical Shape Model to Diaphragm Tracking in Respiratory-Gated Cardiac PET Images,
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Tuna, U., Peltonen, S., Ruotsalainen, U.,
Gap-Filling for the High-Resolution PET Sinograms With a Dedicated DCT-Domain Filter,
MedImg(29), No. 3, March 2010, pp. 830-839.
IEEE DOI 1003
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Alessio, A.M., Stearns, C.W., Tong, S., Ross, S.G., Kohlmyer, S., Ganin, A., Kinahan, P.E.,
Application and Evaluation of a Measured Spatially Variant System Model for PET Image Reconstruction,
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IEEE DOI 1003
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Lartizien, C., Aubin, J.B., Buvat, I.,
Comparison of Bootstrap Resampling Methods for 3-D PET Imaging,
MedImg(29), No. 7, July 2010, pp. 1442-1454.
IEEE DOI 1007
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Blume, M., Martinez-Moller, A., Keil, A., Navab, N., Rafecas, M.,
Joint Reconstruction of Image and Motion in Gated Positron Emission Tomography,
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IEEE DOI 1011
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Zhou, J., Qi, J.,
Adaptive Imaging for Lesion Detection Using a Zoom-in PET System,
MedImg(30), No. 1, January 2011, pp. 119-130.
IEEE DOI 1101
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Dewalle-Vignion, A.S., Betrouni, N., Lopes, R., Huglo, D., Stute, S., Vermandel, M.,
A New Method for Volume Segmentation of PET Images, Based on Possibility Theory,
MedImg(30), No. 2, February 2011, pp. 409-423.
IEEE DOI 1102

See also 3D Segmentation of MRI Brain Using Level Set and Unsupervised Classification. BibRef

Reynolds, P.D., Olcott, P.D., Pratx, G., Lau, F.W.Y., Levin, C.S.,
Convex Optimization of Coincidence Time Resolution for a High-Resolution PET System,
MedImg(30), No. 2, February 2011, pp. 391-400.
IEEE DOI 1102
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Lee, K.S., Kim, T.J., Pratx, G.,
Single-Cell Tracking With PET Using a Novel Trajectory Reconstruction Algorithm,
MedImg(34), No. 4, April 2015, pp. 994-1003.
IEEE DOI 1504
Image reconstruction BibRef

Bai, W., Brady, M.,
Motion Correction and Attenuation Correction for Respiratory Gated PET Images,
MedImg(30), No. 2, February 2011, pp. 351-365.
IEEE DOI 1102
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Salomon, A., Goedicke, A., Schweizer, B., Aach, T., Schulz, V.,
Simultaneous Reconstruction of Activity and Attenuation for PET/MR,
MedImg(30), No. 3, March 2011, pp. 804-813.
IEEE DOI 1103
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Guerin, B., El Fakhri, G.,
Novel Scatter Compensation of List-Mode PET Data Using Spatial and Energy Dependent Corrections,
MedImg(30), No. 3, March 2011, pp. 759-773.
IEEE DOI 1103
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Chinn, G., Levin, C.S.,
A Maximum NEC Criterion for Compton Collimation to Accurately Identify True Coincidences in PET,
MedImg(30), No. 7, July 2011, pp. 1341-1352.
IEEE DOI 1107
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O'Sullivan, F., Wolsztynski, E., O'Sullivan, J., Richards, T., Conrad, E.U., Eary, J.F.,
A Statistical Modeling Approach to the Analysis of Spatial Patterns of FDG-PET Uptake in Human Sarcoma,
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IEEE DOI 1112
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Olesen, O.V.[Oline V.], Paulsen, R.R.[Rasmus R.], Hřjgaard, L.[Liselotte], Roed, B.[Bjarne], Larsen, R.[Rasmus],
Motion Tracking for Medical Imaging: A Nonvisible Structured Light Tracking Approach,
MedImg(31), No. 1, January 2012, pp. 79-87.
IEEE DOI 1201
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Jensen, R.R.[Rasmus R.], Benjaminsen, C.[Claus], Larsen, R.[Rasmus], Olesen, O.V.[Oline V.],
Brain Image Motion Correction: Impact of Incorrect Calibration and Noisy Tracking,
SCIA15(152-161).
Springer DOI 1506
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Wilm, J.[Jakob], Olesen, O.V.[Oline V.], Paulsen, R.R.[Rasmus R.], Hřjgaard, L.[Liselotte], Roed, B.[Bjarne], Larsen, R.[Rasmus],
Real Time Surface Registration for PET Motion Tracking,
SCIA11(166-175).
Springer DOI 1105
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Wallach, D., Lamare, F., Kontaxakis, G., Visvikis, D.,
Super-Resolution in Respiratory Synchronized Positron Emission Tomography,
MedImg(31), No. 2, February 2012, pp. 438-448.
IEEE DOI 1202
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Newberg, A.[Andrew], Monti, D.[Daniel], Moss, A.[Aleeze], Alavi, A.[Abass],
Positron emission tomography in neurological and psychiatric disorders,
IJIST(22), No. 1, March 2012, pp. 2-17.
DOI Link 1202
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Gigengack, F., Ruthotto, L., Burger, M., Wolters, C.H., Jiang, X.Y., Schafers, K.P.,
Motion Correction in Dual Gated Cardiac PET Using Mass-Preserving Image Registration,
MedImg(31), No. 3, March 2012, pp. 698-712.
IEEE DOI 1203
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Yan, H.[Hua], Gigengack, F.[Fabian], Jiang, X.Y.[Xiao-Yi], Schafers, K.P.[Klaus P.],
Super-resolution in cardiac PET using mass-preserving image registration,
ICIP13(752-756)
IEEE DOI 1402
Heart rate BibRef

Weirich, C., Brenner, D., Scheins, J., Besancon, E., Tellmann, L., Herzog, H., Shah, N.J.,
Analysis and Correction of Count Rate Reduction During Simultaneous MR-PET Measurements With the BrainPET Scanner,
MedImg(31), No. 7, July 2012, pp. 1372-1380.
IEEE DOI 1208
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Lakshmanan, M.N., Kapadia, A.J.,
Quantitative Assessment of Lesion Detection Accuracy, Resolution, and Reconstruction Algorithms in Neutron Stimulated Emission Computed Tomography,
MedImg(31), No. 7, July 2012, pp. 1426-1435.
IEEE DOI 1208
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Shepherd, T., Owenius, R.,
Gaussian Process Models of Dynamic PET for Functional Volume Definition in Radiation Oncology,
MedImg(31), No. 8, August 2012, pp. 1542-1556.
IEEE DOI 1208
BibRef

Mollet, P., Keereman, V., Clementel, E., Vandenberghe, S.,
Simultaneous MR-Compatible Emission and Transmission Imaging for PET Using Time-of-Flight Information,
MedImg(31), No. 9, September 2012, pp. 1734-1742.
IEEE DOI 1209
BibRef

Shepherd, T., Teras, M., Beichel, R.R., Boellaard, R., Bruynooghe, M., Dicken, V., Gooding, M.J., Julyan, P.J., Lee, J.A., Lefevre, S., Mix, M., Naranjo, V., Wu, X., Zaidi, H., Zeng, Z., Minn, H.,
Comparative Study With New Accuracy Metrics for Target Volume Contouring in PET Image Guided Radiation Therapy,
MedImg(31), No. 11, November 2012, pp. 2006-2024.
IEEE DOI 1211

See also Comments on Comparative Study With New Accuracy Metrics for Target Volume Contouring in PET Image Guided Radiation Therapy. BibRef

Shepherd, T.,
Reply to the Comments on 'Comparative Study with New Accuracy Metrics for Target Volume Contouring in PET Image Guided Radiation Therapy',
MedImg(32), No. 6, 2013, pp. 1148-1149.
IEEE DOI Accuracy;Imaging phantoms;Measurement; 1307

See also Comments on Comparative Study With New Accuracy Metrics for Target Volume Contouring in PET Image Guided Radiation Therapy. BibRef

van den Hoff, J., Hofheinz, F.,
Comments on 'Comparative Study With New Accuracy Metrics for Target Volume Contouring in PET Image Guided Radiation Therapy',
MedImg(32), No. 6, 2013, pp. 1146-1148.
IEEE DOI PET image guided radiation therapy; volume delineation algorithms 1307

See also Comparative Study With New Accuracy Metrics for Target Volume Contouring in PET Image Guided Radiation Therapy. BibRef

Rezaei, A., Defrise, M., Bal, G., Michel, C., Conti, M., Watson, C., Nuyts, J.,
Simultaneous Reconstruction of Activity and Attenuation in Time-of-Flight PET,
MedImg(31), No. 12, December 2012, pp. 2224-2233.
IEEE DOI 1212
BibRef

Olesen, O.V., Sullivan, J.M., Mulnix, T., Paulsen, R.R., Hojgaard, L., Roed, B., Carson, R.E., Morris, E.D., Larsen, R.,
List-Mode PET Motion Correction Using Markerless Head Tracking: Proof-of-Concept With Scans of Human Subject,
MedImg(32), No. 2, February 2013, pp. 200-209.
IEEE DOI 1301
BibRef

Liu, F., Zhang, Y., Liu, S., Zhang, B., Liu, Q., Yang, Y., Zhang, B., Luo, J., Shan, B., Bai, J.,
Monitoring of Tumor Response to Au Nanorod-Indocyanine Green Conjugates Mediated Therapy With Fluorescence Imaging and Positron Emission Tomography,
MultMed(15), No. 5, 2013, pp. 1025-1030.
IEEE DOI 1307
Cancer BibRef

Zhang, B., Liu, S., Cao, X., Liu, F., Wang, X., Luo, J., Shan, B., Bai, J.,
Fluorescence Tomography Reconstruction With Simultaneous Positron Emission Tomography Priors,
MultMed(15), No. 5, 2013, pp. 1031-1038.
IEEE DOI 1307
Fluorescence BibRef

George, J.[Jose], Vunckx, K.[Kathleen], van de Casteele, E.[Elke], Tejpar, S.[Sabine], Deroose, C.M.[Christophe M.], Nuyts, J.[Johan], Loeckx, D.[Dirk], Suetens, P.[Paul],
SLAC: Statistical total lesion metabolic activity computation by fuzzy unsupervised learning of PET images,
MVA(24), No. 7, October 2013, pp. 1341-1358.
Springer DOI 1309
BibRef
Earlier: A1, A2, A4, A5, A6, A7, A8:
Fuzzy Statistical Unsupervised Learning Based Total Lesion Metabolic Activity Estimation in Positron Emission Tomography Images,
MLMI11(233-240).
Springer DOI 1109
BibRef

Liu, Y.L.[Yi-Long], Wang, M.[Mengdie], Bai, J.[Jing], Zhang, H.[Hui],
System response matrix calculation using symmetries for dual-head PET scanners,
IJIST(23), No. 3, 2013, pp. 205--214.
DOI Link 1309
positron emission tomography BibRef

Schramm, G., Langner, J., Hofheinz, F., Petr, J., Lougovski, A., Beuthien-Baumann, B., Platzek, I., van den Hoff, J.,
Influence and Compensation of Truncation Artifacts in MR-Based Attenuation Correction in PET/MR,
MedImg(32), No. 11, 2013, pp. 2056-2063.
IEEE DOI 1312
biomedical MRI BibRef

Mikhaylova, E., de Lorenzo, G., Chmeissani, M., Kolstein, M., Canadas, M., Arce, P., Calderon, Y., Uzun, D., Arino, G., Macias-Montero, J.G., Martinez, R., Puigdengoles, C., Cabruja, E.,
Simulation of the Expected Performance of a Seamless Scanner for Brain PET Based on Highly Pixelated CdTe Detectors,
MedImg(33), No. 2, February 2014, pp. 332-339.
IEEE DOI 1403
II-VI semiconductors BibRef

Song, Y.[Yang], Cai, W.D.[Wei-Dong], Huang, H.[Heng], Wang, X.G.[Xiao-Gang], Zhou, Y.[Yun], Fulham, M.J., Feng, D.D.,
Lesion Detection and Characterization With Context Driven Approximation in Thoracic FDG PET-CT Images of NSCLC Studies,
MedImg(33), No. 2, February 2014, pp. 408-421.
IEEE DOI 1403
cancer BibRef

Chan, C.[Chung], Fulton, R., Barnett, R., Feng, D.D., Meikle, S.,
Postreconstruction Nonlocal Means Filtering of Whole-Body PET With an Anatomical Prior,
MedImg(33), No. 3, March 2014, pp. 636-650.
IEEE DOI 1404
biological organs BibRef

Zhu, W., Li, Q., Bai, B., Conti, P.S., Leahy, R.M.,
Patlak Image Estimation From Dual Time-Point List-Mode PET Data,
MedImg(33), No. 4, April 2014, pp. 913-924.
IEEE DOI 1404
Approximation methods BibRef

Szirmay-Kalos, L., Magdics, M., Toth, B.,
Multiple Importance Sampling for PET,
MedImg(33), No. 4, April 2014, pp. 970-978.
IEEE DOI 1404
Detectors BibRef

Oh, C.H.[Chang-Heun], Han, Y.[Yeji], Kim, D.C.[Dong-Chan], Lim, H.[Hyunkeong], Choi, Y.[Yong], Cho, G.[Gyuseong], Park, H.W.[Hyun-Wook],
An optimal RF shielding method for MR-PET fusion system with insertable PET,
IJIST(24), No. 3, 2014, pp. 263-269.
DOI Link 1408
MR-PET fusion system, RF coil, RF shield, simultaneous imaging BibRef

Mejia, J.M., Dominguez, H.D.J.O.[H.D.J. Ochoa], Villegas, O.O.V.[O.O. Vergara], Maynez, L.O.[L. Ortega], Mederos, B.,
Noise Reduction in Small-Animal PET Images Using a Multiresolution Transform,
MedImg(33), No. 10, October 2014, pp. 2010-2019.
IEEE DOI 1411
discrete wavelet transforms BibRef

Kyme, A., Se, S., Meikle, S., Angelis, G., Ryder, W., Popovic, K., Yatigammana, D., Fulton, R.,
Markerless Motion Tracking of Awake Animals in Positron Emission Tomography,
MedImg(33), No. 11, November 2014, pp. 2180-2190.
IEEE DOI 1411
feature extraction BibRef

Garali, I., Adel, M., Takerkart, S., Bourennane, S., Guedj, E.,
Brain region of interest selection for 18FDG positrons emission tomography computer-aided image classification,
IPTA14(1-5)
IEEE DOI 1503
diseases BibRef

Cal-Gonzalez, J., Perez-Liva, M., Herraiz, J.L., Vaquero, J.J., Desco, M., Udias, J.M.,
Tissue-Dependent and Spatially-Variant Positron Range Correction in 3D PET,
MedImg(34), No. 11, November 2015, pp. 2394-2403.
IEEE DOI 1511
BibRef
And: Erratum: MedImg(35), No. 1, January 2016, pp. 369-369.
IEEE DOI 1601
Computed tomography Computed tomography BibRef

Xu, J.Y.[Jing-Yan], Tsui, B.M.W.,
Improved Intrinsic Motion Detection Using Time-of-Flight PET,
MedImg(34), No. 10, October 2015, pp. 2131-2145.
IEEE DOI 1511
image reconstruction BibRef

Weissler, B., Gebhardt, P., Dueppenbecker, P.M., Wehner, J., Schug, D., Lerche, C.W., Goldschmidt, B., Salomon, A., Verel, I., Heijman, E., Perkuhn, M., Heberling, D., Botnar, R.M., Kiessling, F., Schulz, V.,
A Digital Preclinical PET/MRI Insert and Initial Results,
MedImg(34), No. 11, November 2015, pp. 2258-2270.
IEEE DOI 1511
Coils BibRef

Loeb, R., Navab, N., Ziegler, S.I.,
Direct Parametric Reconstruction Using Anatomical Regularization for Simultaneous PET/MRI Data,
MedImg(34), No. 11, November 2015, pp. 2233-2247.
IEEE DOI 1511
Algorithm design and analysis BibRef

Bousse, A., Bertolli, O., Atkinson, D., Arridge, S.R., Ourselin, S., Hutton, B.F., Thielemans, K.,
Maximum-Likelihood Joint Image Reconstruction/Motion Estimation in Attenuation-Corrected Respiratory Gated PET/CT Using a Single Attenuation Map,
MedImg(35), No. 1, January 2016, pp. 217-228.
IEEE DOI 1601
Attenuation BibRef

Yang, L., Wang, G., Qi, J.,
Theoretical Analysis of Penalized Maximum-Likelihood Patlak Parametric Image Reconstruction in Dynamic PET for Lesion Detection,
MedImg(35), No. 4, April 2016, pp. 947-956.
IEEE DOI 1604
Monte Carlo methods BibRef

Garcia, M.P., Charil, A., Callaghan, P., Wimberley, C., Busso, F., Grégoire, M.C., Bardičs, M., Reilhac, A.,
OSSI-PET: Open-Access Database of Simulated 11C Raclopride Scans for the Inveon Preclinical PET Scanner: Application to the Optimization of Reconstruction Methods for Dynamic Studies,
MedImg(35), No. 7, July 2016, pp. 1696-1706.
IEEE DOI 1608
Monte Carlo methods BibRef

Mihlin, A., Levin, C.S.,
An Expectation Maximization Method for Joint Estimation of Emission Activity Distribution and Photon Attenuation Map in PET,
MedImg(36), No. 1, January 2017, pp. 214-224.
IEEE DOI 1701
Attenuation BibRef

Jiao, J., Bousse, A., Thielemans, K., Burgos, N., Weston, P.S.J., Schott, J.M., Atkinson, D., Arridge, S.R., Hutton, B.F., Markiewicz, P., Ourselin, S.,
Direct Parametric Reconstruction With Joint Motion Estimation/Correction for Dynamic Brain PET Data,
MedImg(36), No. 1, January 2017, pp. 203-213.
IEEE DOI 1701
Attenuation BibRef

Heß, M., Büther, F., Schäfers, K.P.,
Data-Driven Methods for the Determination of Anterior-Posterior Motion in PET,
MedImg(36), No. 2, February 2017, pp. 422-432.
IEEE DOI 1702
Biological systems BibRef

Gong, K., Cheng-Liao, J., Wang, G., Chen, K.T., Catana, C., Qi, J.,
Direct Patlak Reconstruction From Dynamic PET Data Using the Kernel Method With MRI Information Based on Structural Similarity,
MedImg(37), No. 4, April 2018, pp. 955-965.
IEEE DOI 1804
BibRef
And: Corrections: MedImg(37), No. 8, August 2018, pp. 1955-1955.
IEEE DOI 1808
Heuristic algorithms, Feature extraction, Image quality, Image reconstruction, Kernel, Positron emission tomography, MRI, Patlak direct reconstruction, structure similarity BibRef

Mou, T., Huang, J., O'Sullivan, F.,
The Gamma Characteristic of Reconstructed PET Images: Implications for ROI Analysis,
MedImg(37), No. 5, May 2018, pp. 1092-1102.
IEEE DOI 1805
Adaptation models, Attenuation, Data models, Image reconstruction, Phantoms, Quality assurance, Gamma distribution, IRLS, PET BibRef

Feng, T., Wang, J., Sun, Y., Zhu, W., Dong, Y., Li, H.,
Self-Gating: An Adaptive Center-of-Mass Approach for Respiratory Gating in PET,
MedImg(37), No. 5, May 2018, pp. 1140-1148.
IEEE DOI 1805
Data mining, Frequency-domain analysis, Logic gates, Monitoring, Optimization, Standards, Tracking, Data-driven, respiratory gating, signal sign determination BibRef

Feng, T., Wang, J., Dong, Y., Zhao, J., Li, H.,
A Novel Data-Driven Cardiac Gating Signal Extraction Method for PET,
MedImg(38), No. 2, February 2019, pp. 629-637.
IEEE DOI 1902
Heart, Myocardium, Optimization, Lung, Mathematical model, Electrocardiography, Data-driven, cardiac gating BibRef

Lee, B.J., Grant, A.M., Chang, C., Watkins, R.D., Glover, G.H., Levin, C.S.,
MR Performance in the Presence of a Radio Frequency-Penetrable Positron Emission Tomography (PET) Insert for Simultaneous PET/MRI,
MedImg(37), No. 9, September 2018, pp. 2060-2069.
IEEE DOI 1809
Detectors, Positron emission tomography, Radio frequency, Batteries, Power cables, Magnetic resonance imaging, Crystals, PET, MR compatible BibRef

Papadimitriou, K.[Katerina], Sfikas, G.[Giorgos], Nikou, C.[Christophoros],
Tomographic Image Reconstruction with a Spatially Varying Gamma Mixture Prior,
JMIV(60), No. 8, October 2018, pp. 1355-1365.
Springer DOI 1810
BibRef
Earlier: A1, A3, Only:
Tomographic Image Reconstruction with a Spatially Varying Gaussian Mixture Prior,
ICIP15(4002-4006)
IEEE DOI 1512
Emission tomography
See also Bayesian Framework for Image Segmentation With Spatially Varying Mixtures, A. BibRef

Li, L., Kang, J., Lockhart, S.N., Adams, J., Jagust, W.J.,
Spatially Adaptive Varying Correlation Analysis for Multimodal Neuroimaging Data,
MedImg(38), No. 1, January 2019, pp. 113-123.
IEEE DOI 1901
Correlation, Positron emission tomography, Magnetic resonance imaging, Neuroimaging, Sugar, Biochemistry, varying coefficient model BibRef

Biswas, B.[Biswajit], Sen, B.K.[Biplab Kanti],
Color PET-MRI Medical Image Fusion Combining Matching Regional Spectrum in Shearlet Domain,
IJIG(19), No. 1 2018, pp. 1950004.
DOI Link 1902
BibRef

Ren, X.[Xue], Lee, S.J.[Soo-Jin],
Image reconstruction for emission tomography using intensity normalised patch-based regularisation,
IET-IPR(13), No. 5, 18 April 2019, pp. 794-803.
DOI Link 1904
BibRef

Angelis, G.I., Gillam, J.E., Ryder, W.J., Fulton, R.R., Meikle, S.R.,
Direct Estimation of Voxel-Wise Neurotransmitter Response Maps From Dynamic PET Data,
MedImg(38), No. 6, June 2019, pp. 1371-1383.
IEEE DOI 1906
Neurotransmitters, Kinetic theory, Brain modeling, Image reconstruction, Analytical models, Computational modeling, ligand displacement BibRef

Kucharczak, F., Ben Bouallegue, F., Strauss, O., Mariano-Goulart, D.,
Confidence Interval Constraint-Based Regularization Framework for PET Quantization,
MedImg(38), No. 6, June 2019, pp. 1513-1523.
IEEE DOI 1906
Image reconstruction, Positron emission tomography, TV, Kernel, Computational modeling, Interpolation, Estimation, total variation BibRef

Wang, Y., Zhou, L., Yu, B., Wang, L., Zu, C., Lalush, D.S., Lin, W., Wu, X., Zhou, J., Shen, D.,
3D Auto-Context-Based Locality Adaptive Multi-Modality GANs for PET Synthesis,
MedImg(38), No. 6, June 2019, pp. 1328-1339.
IEEE DOI 1906
Positron emission tomography, Generators, Kernel, multi-modality BibRef

Cavalcanti, Y.C., Oberlin, T., Dobigeon, N., Févotte, C., Stute, S., Ribeiro, M., Tauber, C.,
Factor Analysis of Dynamic PET Images: Beyond Gaussian Noise,
MedImg(38), No. 9, September 2019, pp. 2231-2241.
IEEE DOI 1909
Positron emission tomography, Image reconstruction, Analytical models, Additives, Data models, Matrix decomposition, Poisson noise BibRef

Cho, Z., Son, Y., Kim, H., Kwon, D., Joo, Y., Ra, J.B., Choi, Y., Kim, Y.,
Development of Positron Emission Tomography With Wobbling and Zooming for High Sensitivity and High-Resolution Molecular Imaging,
MedImg(38), No. 12, December 2019, pp. 2875-2882.
IEEE DOI 1912
Detectors, Sensitivity, Positron emission tomography, Head, Spatial resolution, High-resolution imaging, convertible BibRef

Klyuzhin, I.S., Cheng, J., Bevington, C., Sossi, V.,
Use of a Tracer-Specific Deep Artificial Neural Net to Denoise Dynamic PET Images,
MedImg(39), No. 2, February 2020, pp. 366-376.
IEEE DOI 2002
Noise reduction, Training, Kinetic theory, Spatiotemporal phenomena, Positron emission tomography, kinetic modeling BibRef

Grossiord, É.[Éloďse], Passat, N.[Nicolas], Talbot, H.[Hugues], Naegel, B.[Benoît], Kanoun, S.[Salim], Tal, I.[Ilan], Tervé, P.[Pierre], Ken, S.[Soléakhéna], Casasnovas, O.[Olivier], Meignan, M.[Michel], Najman, L.[Laurent],
Shaping for PET image analysis,
PRL(131), 2020, pp. 307-313.
Elsevier DOI 2004
BibRef

Schmitzer, B., Schäfers, K.P., Wirth, B.,
Dynamic Cell Imaging in PET With Optimal Transport Regularization,
MedImg(39), No. 5, May 2020, pp. 1626-1635.
IEEE DOI 2005
Molecular and cellular imaging, nuclear imaging, tracking BibRef

Reader, A.J., Ellis, S.,
Bootstrap-Optimised Regularised Image Reconstruction for Emission Tomography,
MedImg(39), No. 6, June 2020, pp. 2163-2175.
IEEE DOI 2006
Image reconstruction, inverse problems, emission tomography, regularisation, hyperparameter selection, bootstrap methods BibRef

Miranda, A., Staelens, S., Stroobants, S., Verhaeghe, J.,
Motion Dependent and Spatially Variant Resolution Modeling for PET Rigid Motion Correction,
MedImg(39), No. 7, July 2020, pp. 2518-2530.
IEEE DOI 2007
Spatial resolution, Image reconstruction, Animals, Tracking, Positron emission tomography, Kernel, resolution modeling BibRef

Du, Q.Q.[Qian-Qian], Qiang, Y.[Yan], Yang, W.K.[Wen-Kai], Wang, Y.F.[Yan-Fei], Ma, Y.[Yong], Zia, M.B.[Muhammad Bilal],
DRGAN: a deep residual generative adversarial network for PET image reconstruction,
IET-IPR(14), No. 9, 20 July 2020, pp. 1690-1700.
DOI Link 2007
BibRef

Du, Q.Q.[Qian-Qian], Ren, X.T.[Xue-Ting], Wang, J.W.[Jia-Wen], Qiang, Y.[Yan], Yang, X.T.[Xiao-Tang], Kazihise, N.G.F.[Ntikurako Guy-Fernand],
Iterative PET image reconstruction using cascaded data consistency generative adversarial network,
IET-IPR(14), No. 15, 15 December 2020, pp. 3989-3999.
DOI Link 2103
BibRef

Liu, H., Morris, E.D.,
Model Comparison Metrics Require Adaptive Correction if Parameters Are Discretized: Proof-of-Concept Applied to Transient Signals in Dynamic PET,
MedImg(39), No. 7, July 2020, pp. 2451-2460.
IEEE DOI 2007
Adaptation models, Transient analysis, Timing, Data models, Estimation, Neurotransmitters, lp-ntPET, parametric imaging, constrained optimization BibRef

Jiang, J., Samanta, S., Li, K., Siegel, S.B., Mintzer, R.A., Cho, S., Conti, M., Schmand, M., O'Sullivan, J., Tai, Y.C.,
Augmented Whole-Body Scanning via Magnifying PET,
MedImg(39), No. 11, November 2020, pp. 3268-3277.
IEEE DOI 2011
Detectors, Lesions, Sensitivity, Phantoms, Torso, Spatial resolution, AWSM-PET, cancer detection, virtual-pinhole PET BibRef

Courteau, A., McGrath, J., Walker, P.M., Pegg, R., Martin, G., Garipov, R., Doughty, P., Cochet, A., Brunotte, F., Vrigneaud, J.M.,
Performance Evaluation and Compatibility Studies of a Compact Preclinical Scanner for Simultaneous PET/MR Imaging at 7 Tesla,
MedImg(40), No. 1, January 2021, pp. 205-217.
IEEE DOI 2012
Magnetic resonance imaging, Crystals, Detectors, Animals, Head, Magnetic heads, Magnetic resonance imaging, nuclear imaging, PET/MR interferences BibRef

Pan, X., Phan, T.L., Adel, M., Fossati, C., Gaidon, T., Wojak, J., Guedj, E.,
Multi-View Separable Pyramid Network for AD Prediction at MCI Stage by 18F-FDG Brain PET Imaging,
MedImg(40), No. 1, January 2021, pp. 81-92.
IEEE DOI 2012
Feature extraction, Positron emission tomography, Dementia, mild cognitive impairment BibRef

Won, J.Y.[Jun Yeon], Park, H.[Haewook], Lee, S.[Seungeun], Son, J.W.[Jeong-Whan], Chung, Y.[Yina], Ko, G.B.[Guen Bae], Kim, K.Y.[Kyeong Yun], Song, J.[Junghyun], Seo, S.[Seongho], Ryu, Y.[Yeunchul], Chung, J.Y.[Jun-Young], Lee, J.S.[Jae Sung],
Development and Initial Results of a Brain PET Insert for Simultaneous 7-Tesla PET/MRI Using an FPGA-Only Signal Digitization Method,
MedImg(40), No. 6, June 2021, pp. 1579-1590.
IEEE DOI 2106
Data acquisition, Detectors, Positron emission tomography, Magnetic resonance imaging, Crystals, Imaging, simultaneous PET/MRI BibRef

Shi, L.[Luyao], Lu, Y.[Yihuan], Dvornek, N.[Nicha], Weyman, C.A.[Christopher A.], Miller, E.J.[Edward J.], Sinusas, A.J.[Albert J.], Liu, C.[Chi],
Automatic Inter-Frame Patient Motion Correction for Dynamic Cardiac PET Using Deep Learning,
MedImg(40), No. 12, December 2021, pp. 3293-3304.
IEEE DOI 2112
Dynamics, Myocardium, Imaging, Training, Blood, Positron emission tomography, Motion detection, PET, deep learning BibRef

Ding, W.X.[Wen-Xiang], Yu, J.Y.[Jiang-Yuan], Zheng, C.J.[Chao-Jie], Fu, P.[Peng], Huang, Q.[Qiu], Feng, D.D.[David Dagan], Yang, Z.[Zhi], Wahl, R.L.[Richard L.], Zhou, Y.[Yun],
Machine Learning-Based Noninvasive Quantification of Single-Imaging Session Dual-Tracer 18F-FDG and 68Ga-DOTATATE Dynamic PET-CT in Oncology,
MedImg(41), No. 2, February 2022, pp. 347-359.
IEEE DOI 2202
Positron emission tomography, Imaging, Protocols, Kinetic theory, Heuristic algorithms, Tumors, Radiotracer, PET BibRef

Choi, C.H.[Chang-Hoon], Hong, S.M.[Suk-Min], Felder, J.[Jörg], Tellmann, L.[Lutz], Scheins, J.[Jürgen], Kops, E.R.[Elena Rota], Lerche, C.[Christoph], Shah, N.J.[N. Jon],
A Novel J-Shape Antenna Array for Simultaneous MR-PET or MR-SPECT Imaging,
MedImg(41), No. 5, May 2022, pp. 1104-1113.
IEEE DOI 2205
Antenna arrays, Dipole antennas, Magnetic resonance imaging, Single photon emission computed tomography, Radio frequency, Gamma radiation transparent BibRef

Qi, J.Y.[Jin-Yi], Huang, B.Y.[Bang-Yan],
Positronium Lifetime Image Reconstruction for TOF PET,
MedImg(41), No. 10, October 2022, pp. 2848-2855.
IEEE DOI 2210
Positron emission tomography, Image reconstruction, Positrons, Spatial resolution, Photonics, Maximum likelihood estimation, positron emission tomography BibRef

Nuyts, J.[Johan], Defrise, M.[Michel], Gundacker, S.[Stefan], Roncali, E.[Emilie], Lecoq, P.[Paul],
The SNR of Positron Emission Data With Gaussian and Non-Gaussian Time-of-Flight Kernels, With Application to Prompt Photon Coincidence,
MedImg(42), No. 5, May 2023, pp. 1254-1264.
IEEE DOI 2305
Signal to noise ratio, Task analysis, Positron emission tomography, Photonics, Kernel, variance BibRef

Rodríguez-Hernández, L.J.[Leandro José], de Jesús-Ochoa-Domínguez, H.[Humberto], Vergara-Villegas, O.O.[Osslan Osiris], Cruz-Sánchez, V.G.[Vianey Guadalupe], Sossa-Azuela, J.H.[Juan Humberto], Polanco-González, J.[Javier],
Residual 3D convolutional neural network to enhance sinograms from small-animal positron emission tomography images,
PRL(172), 2023, pp. 267-273.
Elsevier DOI 2309
Positron emission tomography, Convolutional neural network, Sinogram, Image enhancement BibRef

Jiang, C.[Caiwen], Pan, Y.S.[Yong-Sheng], Cui, Z.M.[Zhi-Ming], Nie, D.[Dong], Shen, D.G.[Ding-Gang],
Semi-Supervised Standard-Dose PET Image Generation via Region-Adaptive Normalization and Structural Consistency Constraint,
MedImg(42), No. 10, October 2023, pp. 2974-2987.
IEEE DOI 2310
BibRef

Ding, W.X.[Wen-Xiang], Ding, Q.[Qiaoqiao], Chen, K.W.[Ke-Wei], Zhang, M.[Miao], Lv, L.[Li], Feng, D.D.[David Dagan], Bi, L.[Lei], Kim, J.M.[Jin-Man], Huang, Q.[Qiu],
A Shortened Model for Logan Reference Plot Implemented via the Self-Supervised Neural Network for Parametric PET Imaging,
MedImg(42), No. 10, October 2023, pp. 2842-2852.
IEEE DOI 2310
BibRef

Guo, X.Q.[Xue-Qi], Zhou, B.[Bo], Chen, X.[Xiongchao], Chen, M.K.[Ming-Kai], Liu, C.[Chi], Dvornek, N.C.[Nicha C.],
MCP-Net: Introducing Patlak Loss Optimization to Whole-Body Dynamic PET Inter-Frame Motion Correction,
MedImg(42), No. 12, December 2023, pp. 3512-3523.
IEEE DOI 2312
BibRef

Park, M.A.[Mi-Ae], Zaha, V.G.[Vlad G.], Badawi, R.D.[Ramsey D.], Bowen, S.L.[Spencer L.],
Supplemental Transmission Aided Attenuation Correction for Quantitative Cardiac PET,
MedImg(43), No. 3, March 2024, pp. 1125-1137.
IEEE DOI 2403
Positron emission tomography, Attenuation, Image reconstruction, Phantoms, Computed tomography, Signal to noise ratio, Myocardium, transmission acquisition BibRef


Li, C.X.[Chen-Xu], Fang, J.W.[Jing-Wan], Hu, R.[Rui], Cui, J.A.[Jian-An], Liu, H.F.[Hua-Feng],
LMPDNET: TOF-PET List-Mode Image Reconstruction Using Model-Based Deep Learning Method,
ICIP23(1385-1389)
IEEE DOI 2312
BibRef

Du, Y.F.[Yi-Fan], Li, B.[Bicao], Liu, Z.F.[Zhou-Feng], Li, C.L.[Chun-Lei], Shao, Z.[Zhuhong], Wang, Z.M.[Zong-Min],
DCAN: A Dual Cascade Attention Network for Fusing Pet and MRI Images,
ICIP22(2946-2950)
IEEE DOI 2211
Training, Learning systems, Magnetic resonance imaging, Feature extraction, Task analysis, Image reconstruction, PET and MRI images BibRef

Giaccone, P.[Paolo], Benfante, V.[Viviana], Stefano, A.[Alessandro], Cammarata, F.P.[Francesco Paolo], Russo, G.[Giorgio], Comelli, A.[Albert],
PET Images Atlas-Based Segmentation Performed in Native and in Template Space: A Radiomics Repeatability Study in Mouse Models,
AIRCAD22(351-361).
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Garmendia, A.I.[Andoni I.], Yang, Y.Y.[Yong-Yi], Song, C.[Chao], Wernick, M.N.[Miles N.], Pretorius, P.H.[P. Hendrik], King, M.A.[Michael A.],
A Regularized Approach for Respiratory Motion Estimation from Short-Time Projection Data Frames In Emission Tomography,
ICIP21(2943-2947)
IEEE DOI 2201
Maximum likelihood estimation, Laplace equations, Motion estimation, Image processing, Phantoms, Tomography, gradient descent. BibRef

Yokota, T., Kawai, K., Sakata, M., Kimura, Y., Hontani, H.,
Dynamic PET Image Reconstruction Using Nonnegative Matrix Factorization Incorporated With Deep Image Prior,
ICCV19(3126-3135)
IEEE DOI 2004
Image reconstruction, Positron emission tomography, Electronics packaging, Signal to noise ratio, Kinetic theory, Sparse matrices BibRef

Sun, H., Mehta, R., Zhou, H., Huang, Z., Johnson, S., Prabhakaran, V., Singh, V.,
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer,
ICCV19(10610-10619)
IEEE DOI 2004
Positron emission tomography, Magnetic resonance imaging, Computational modeling, Image generation, Diseases, Task analysis BibRef

Xie, N.B.[Nuo-Bei], Chen, Y.M.[Yun-Mei], Liu, H.F.[Hua-Feng],
Nonlocal Low-Rank and Total Variation Constrained PET Image Reconstruction,
ICPR18(3874-3879)
IEEE DOI 1812
Image reconstruction, Positron emission tomography, Linear programming, Optimization, TV, Photonics, total variation BibRef

Hidane, M., Tauber, C.,
Spatio-spectral deconvolution of vector valued images using total nuclear variation,
ICIP17(1212-1216)
IEEE DOI 1803
Deconvolution, Heuristic algorithms, Jacobian matrices, Positron emission tomography, TV, Vectorial Total Variation BibRef

Akram, M.S.H.,
Keynote speaker: State of the art brain PET inserts for the existing MRI system,
IVPR17(1-1)
IEEE DOI 1704
BibRef

Gosse, K., Jehan-Besson, S., Lecellier, F., Ruan, S.,
Comparison of 2D and 3D region-based deformable models and random walker methods for PET segmentation,
IPTA16(1-7)
IEEE DOI 1703
image segmentation BibRef

Ahmadvand, P.[Payam], Duggan, N.[Nóirín], Bénard, F.[François], Hamarneh, G.[Ghassan],
Tumor Lesion Segmentation from 3D PET Using a Machine Learning Driven Active Surface,
MLMI16(271-278).
Springer DOI 1611
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Verdoja, F., Bonafč, B., Cavagnino, D., Grangetto, M., Bracco, C., Varetto, T., Racca, M., Stasi, M.,
Global and local anomaly detectors for tumor segmentation in dynamic PET acquisitions,
ICIP16(4131-4135)
IEEE DOI 1610
Biomedical imaging BibRef

Nguyen, C.T., Havlicek, J.P., Duong, Q., Vesely, S., Gress, R., Lindenberg, L., Choyke, P., Chakrabarty, J.H., Williams, K.,
An automatic 3D CT/PET segmentation framework for bone marrow proliferation assessment,
ICIP16(4126-4130)
IEEE DOI 1610
Biomedical imaging BibRef

Verdoja, F.[Francesco], Grangetto, M.[Marco], Bracco, C.[Christian], Varetto, T.[Teresio], Racca, M.[Manuela], Stasi, M.[Michele],
Automatic method for tumor segmentation from 3-points dynamic PET acquisitions,
ICIP14(937-941)
IEEE DOI 1502
Algorithm design and analysis BibRef

Mejia, J., Mederos, B., Cabrera, S.D., Ochoa Dominguez, H., Villegas, O.O.V.,
Noise reduction in PET sinograms using non-local total variation regularization,
Southwest14(17-20)
IEEE DOI 1406
Poisson distribution BibRef

Gigengack, F.[Fabian], Ruthotto, L.[Lars], Jiang, X.Y.[Xiao-Yi], Modersitzki, J.[Jan], Burger, M.[Martin],
Atlas-Based Whole-Body PET-CT Segmentation Using a Passive Contour Distance,
MCVM12(82-92).
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Zeng, Z.M.[Zi-Ming], Wang, J.[Jue], Shepherd, T.[Tony], Zwiggelaar, R.[Reyer],
Region-based active surface modelling and alpha matting for unsupervised tumour segmentation in PET,
ICIP12(1997-2000).
IEEE DOI 1302
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Mirzaalian, H.[Hengameh], Saad, A.[Ahmed], Hamarneh, G.[Ghassan],
Iterative segmentation and motion correction for dynamic PET images based on radioactive tracer kinetics,
MMBIA12(265-270).
IEEE DOI 1203
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A discrete-continuous Bayesian model for Emission Tomography,
ICIP11(1373-1376).
IEEE DOI 1201
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Anthoine, S., Aujol, J.F., Boursier, Y., Melot, C.,
On the efficiency of proximal methods in CBCT and PET,
ICIP11(1365-1368).
IEEE DOI 1201
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Pekkarinen, J.[Jarkko], Pölönen, H.[Harri], Neri, F.[Ferrante],
Advanced Metaheuristic Approaches and Population Doping for a Novel Modeling-Based Method of Positron Emission Tomography Data Analysis,
EvoIASP11(204-213).
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Wang, J.Y.[Ji-Yong], Feng, D.D.[David Dagan], Xia, Y.[Yong],
Automated Detection of the Occurrence and Changes of Hot-Spots in Intro-subject FDG-PET Images from Combined PET-CT Scanners,
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IEEE DOI 1012
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Song, S.M.[Soo-Min], Kim, M.J.[Min-Jeong], Lee, J.M.[Joung-Min], Park, H.J.[Hye-Jin], Kim, K.M.[Kyeong-Min], Cheon, G.J.[Gi-Jeong], Kim, M.H.[Myoung-Hee],
Coregistration of Small Animal PET and Autoradiography for in vivo-ex vivo Comparison,
CIARP07(822-830).
Springer DOI 0711
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Lecca, P.[Paola], Lecca, M.[Michela],
Molecular Mechanism of Glutamate-Triggered Brain Glucose Metabolism: A Parametric Model from FDG PET-Scans,
BVAI07(350-359).
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Chen, Y.[Yang], Chen, W.F.[Wu-Fan], Shi, P.C.[Peng-Cheng], Feng, Y.Q.[Yan-Qiu], Feng, Q.J.[Qian-Jin], Wang, Q.Q.[Qing-Qi], Huang, Z.Y.[Zhi-Yong],
Bayesian Reconstruction Using a New Nonlocal MRF Prior for Count-Limited PET Transmission Scans,
ICIAR07(972-981).
Springer DOI 0708
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Joint Bayesian PET Reconstruction Algorithm Using a Quadratic Hybrid Multi-order Prior,
MIRAGE07(23-35).
Springer DOI 0703
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Krestyannikov, E.[Evgeny], Tohka, J.[Jussi], Ruotsalainen, U.[Ulla],
Segmentation of Dynamic Emission Tomography Data in Projection Space,
CVAMIA06(108-119).
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Guan, H.Y.[Hai-Ying], Kubota, T.[Toshiro], Huang, X.L.[Xiao-Lei], Zhou, X.S.[Xiang Sean], Turk, M.,
Automatic Hot Spot Detection and Segmentation in Whole Body FDG-PET Images,
ICIP06(85-88).
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Liu, H.F.[Hua-Feng], Jiang, X.N.[Xiao-Na], Shi, P.C.[Peng-Cheng],
State-Space Reconstruction of Pet Parametric Maps,
ICIP06(893-896).
IEEE DOI 0610
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Gong, S.J.[Sylvia J.], O'Keefe, G.J.[Graeme J.], Rykers, K.[Kym], Mantle, C.[Carmel], Gunawardana, D.H.[Dishan H.], Rolfo, A.[Aldo], Wada, M.[Morikatsu], Scott, A.M.[Andrew M.],
PET/CT Rigid-Body Registration in Radiation Treatment Planning Settings: Phantom Validation and Strategy Investigation,
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Lee, H.[Ho], Hong, H.[Helen],
Hybrid Surface- and Voxel-Based Registration for MR-PET Brain Fusion,
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Simultaneous Activity Attenuation Reconstruction in Positron Emission Tomography via Maximum Likelihood and Iterative Methods,
ICIP05(III: 624-627).
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Magee, D.[Derek], Tanner, S.[Steven], Waller, M.[Michael], McGonagle, D.[Dennis], Jeavons, A.P.[Alan P.],
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Iterative methods for correcting attenuation in positron emission tomography,
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Side information averaging method for PML emission tomography,
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Improvement on depth resolution and reduction of Poisson noise in coded aperture emission CT,
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High Resolution PET and High Field Magnetic Resonance in Study of Human Physiology and Disease,
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Multiscale Measures in Linear Scale-Space for Characterizing Cerebral Functional Activations in 3D PET Difference Images,
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A neural network for fusing the MR information into PET images to improve spatial resolution,
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Reconstructing the Activity Surface for Cardiac PET Imagery,
ICPR88(II: 822-826).
IEEE DOI BibRef 8800

Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Positron Emission Tomography, PET Image Reconstruction .


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