Deriving physiological information from PET images: from SUV to compartmental modelling
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[1] Claudio Cobelli,et al. Tracer Kinetics in Biomedical Research: From Data to Model , 2013 .
[2] R L Wahl,et al. Standardized uptake values of normal tissues at PET with 2-[fluorine-18]-fluoro-2-deoxy-D-glucose: variations with body weight and a method for correction. , 1993, Radiology.
[3] Alexander Hammers,et al. Multi-Scale hierarchical generation of PET parametric maps: Application and testing on a [11C]DPN study , 2010, NeuroImage.
[4] R. T. Ogden,et al. Empirical bayesian estimation in graphical analysis: A voxel-based approach for the determination of the volume of distribution in PET studies , 2008, NeuroImage.
[5] Paul Cumming,et al. PET Neuroimaging: The White Elephant Packs His Trunk? , 2014, NeuroImage.
[6] R H Huesman,et al. Dynamic PET Data Analysis , 1986, Journal of computer assisted tomography.
[7] S. Kety. The theory and applications of the exchange of inert gas at the lungs and tissues. , 1951, Pharmacological reviews.
[8] D. D. Bois,et al. CLINICAL CALORIMETRY: TENTH PAPER A FORMULA TO ESTIMATE THE APPROXIMATE SURFACE AREA IF HEIGHT AND WEIGHT BE KNOWN , 1916 .
[9] A. Bertoldo,et al. Parametric imaging of 18F-fluoro-3-deoxy-3-l-fluorothymidine PET data to investigate tumour heterogeneity , 2014, European Journal of Nuclear Medicine and Molecular Imaging.
[10] T. Jones,et al. Spectral Analysis of Dynamic PET Studies , 1993, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[11] Roger N Gunn,et al. 2-[11C]thymidine positron emission tomography as an indicator of thymidylate synthase inhibition in patients treated with AG337. , 2003, Journal of the National Cancer Institute.
[12] M. Phelps,et al. Parametric images of myocardial metabolic rate of glucose generated from dynamic cardiac PET and 2-[18F]fluoro-2-deoxy-d-glucose studies. , 1991, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.
[13] Roger N Gunn,et al. Positron Emission Tomography Compartmental Models: A Basis Pursuit Strategy for Kinetic Modeling , 2002, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[14] Rainer Hinz,et al. Simplified quantification of 5-HT2A receptors in the human brain with [11C]MDL 100,907 PET and non-invasive kinetic analyses , 2010, NeuroImage.
[15] Liane Oehme,et al. The PET-derived tumor-to-blood standard uptake ratio (SUR) is superior to tumor SUV as a surrogate parameter of the metabolic rate of FDG , 2013, EJNMMI Research.
[16] Alessandra Bertoldo,et al. Multi-scale hierarchical approach for parametric mapping: Assessment on multi-compartmental models , 2013, NeuroImage.
[17] M'hamed Bentourkia. PET kinetic modeling of 11C-acetate from projections. , 2003, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.
[18] Robert B. Innis,et al. Strategies to Improve Neuroreceptor Parameter Estimation by Linear Regression Analysis , 2002, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[19] David J. Schlyer,et al. Graphical Analysis of Reversible Radioligand Binding from Time—Activity Measurements Applied to [N-11C-Methyl]-(−)-Cocaine PET Studies in Human Subjects , 1990, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[20] Peter Herscovitch,et al. Comparison of Bolus and Infusion Methods for Receptor Quantitation: Application to [18F]Cyclofoxy and Positron Emission Tomography , 1993, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[21] Alessandra Bertoldo,et al. ORIGINAL ARTICLE Voxelwise quantification of ( 11 C)(R)-rolipram PET data: a comparison between model-based and data-driven methods , 2013 .
[22] Young T. Hong,et al. Kinetic modelling using basis functions derived from two-tissue compartmental models with a plasma input function: General principle and application to [18F]fluorodeoxyglucose positron emission tomography , 2010, NeuroImage.
[23] N. Volkow,et al. Distribution Volume Ratios without Blood Sampling from Graphical Analysis of PET Data , 1996, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[24] Jeih-San Liow,et al. Image-Derived Input Function for Human Brain Using High Resolution PET Imaging with [11C](R)-rolipram and [11C]PBR28 , 2011, PloS one.
[25] Eric P. Visser,et al. A Curve-Fitting Approach to Estimate the Arterial Plasma Input Function for the Assessment of Glucose Metabolic Rate and Response to Treatment , 2009, Journal of Nuclear Medicine.
[26] Rolf A Heckemann,et al. The Predictive Power of Brain mRNA Mappings for in vivo Protein Density: A Positron Emission Tomography Correlation Study , 2014, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[27] C S Patlak,et al. Graphical Evaluation of Blood-to-Brain Transfer Constants from Multiple-Time Uptake Data , 1983, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[28] R. Huesman,et al. Kinetic analysis of 18F-fluorodihydrorotenone as a deposited myocardial flow tracer: comparison to 201Tl. , 2004, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.
[29] Iwao Kanno,et al. Improvement of likelihood estimation in Logan graphical analysis using maximum a posteriori for neuroreceptor PET imaging , 2009, Annals of nuclear medicine.
[30] D. Feng,et al. Models for computer simulation studies of input functions for tracer kinetic modeling with positron emission tomography. , 1993, International journal of bio-medical computing.
[31] Vincent J. Cunningham,et al. Parametric Imaging of Ligand-Receptor Binding in PET Using a Simplified Reference Region Model , 1997, NeuroImage.
[32] A. Alavi,et al. Use of a corrected standardized uptake value based on the lesion size on CT permits accurate characterization of lung nodules on FDG-PET , 2002, European Journal of Nuclear Medicine and Molecular Imaging.
[33] C Cobelli,et al. Kinetic modeling of [(18)F]FDG in skeletal muscle by PET: a four-compartment five-rate-constant model. , 2001, American journal of physiology. Endocrinology and metabolism.
[34] F. Turkheimer,et al. Reference and target region modeling of [11C]-(R)-PK11195 brain studies. , 2007, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.
[35] H. Amthauer,et al. Corrections of arterial input function for dynamic H215O PET to assess perfusion of pelvic tumours: arterial blood sampling versus image extraction , 2006, Physics in medicine and biology.
[36] Roger N. Gunn,et al. PET neuroimaging: The elephant unpacks his trunk: Comment on Cumming: “PET neuroimaging: The white elephant packs his trunk?” , 2014, NeuroImage.
[37] M Slifstein,et al. Models and methods for derivation of in vivo neuroreceptor parameters with PET and SPECT reversible radiotracers. , 2001, Nuclear medicine and biology.
[38] M. Reivich,et al. THE [14C]DEOXYGLUCOSE METHOD FOR THE MEASUREMENT OF LOCAL CEREBRAL GLUCOSE UTILIZATION: THEORY, PROCEDURE, AND NORMAL VALUES IN THE CONSCIOUS AND ANESTHETIZED ALBINO RAT 1 , 1977, Journal of neurochemistry.
[39] Federico Turkheimer,et al. Importance of Quantification for the Analysis of PET Data in Oncology: Review of Current Methods and Trends for the Future , 2012, Molecular Imaging and Biology.
[40] B. Rosen,et al. PET and MR Imaging: The Odd Couple or a Match Made in Heaven? , 2013, The Journal of Nuclear Medicine.
[41] R Todd Ogden,et al. Estimation of kinetic parameters in graphical analysis of PET imaging data , 2003, Statistics in medicine.
[42] Jeffrey A Fessler,et al. Improving PET Receptor Binding Estimates from Logan Plots Using Principal Component Analysis , 2008, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[43] Alessandra Bertoldo,et al. A Spectral Analysis Approach for Determination of Regional Rates of Cerebral Protein Synthesis with the L-[1-11C]leucine PET Method , 2010, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[44] A. Lammertsma,et al. Simplified Reference Tissue Model for PET Receptor Studies , 1996, NeuroImage.
[45] Zsolt Szabo,et al. Modified Regression Model for the Logan Plot , 2002, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[46] R. P. Maguire,et al. Consensus Nomenclature for in vivo Imaging of Reversibly Binding Radioligands , 2007, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[47] D E Kuhl,et al. Equilibrium versus Compartmental Analysis for Assessment of the Vesicular Monoamine Transporter Using (+)-α-[11C]Dihydrotetrabenazine (DTBZ) and Positron Emission Tomography , 1997, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[48] Paolo Zanotti-Fregonara,et al. Kinetic analysis of [11C]befloxatone in the human brain, a selective radioligand to image monoamine oxidase A , 2013, EJNMMI Research.
[49] R. Boellaard. Standards for PET Image Acquisition and Quantitative Data Analysis , 2009, Journal of Nuclear Medicine.
[50] Alan A. Wilson,et al. Positron Emission Tomography Quantification of [11C]-DASB Binding to the Human Serotonin Transporter: Modeling Strategies , 2001, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[51] Roger N Gunn,et al. Rank-shaping regularization of exponential spectral analysis for application to functional parametric mapping. , 2003, Physics in medicine and biology.
[52] F. Turkheimer,et al. Kinetic modeling in positron emission tomography. , 2002, The quarterly journal of nuclear medicine : official publication of the Italian Association of Nuclear Medicine (AIMN) [and] the International Association of Radiopharmacology.
[53] Yun Zhou,et al. Multi-graphical analysis of dynamic PET , 2010, NeuroImage.
[54] Alexander Hammers,et al. Balancing bias, reliability, noise properties and the need for parametric maps in quantitative ligand PET: [11C]diprenorphine test–retest data , 2007, NeuroImage.
[55] Habib Zaidi,et al. Application of adaptive kinetic modeling for bias propagation reduction in direct 4D image reconstruction , 2012 .
[56] Alessandra Bertoldo,et al. SAKE: A new quantification tool for positron emission tomography studies , 2013, Comput. Methods Programs Biomed..
[57] Yun Zhou,et al. A consistent and efficient graphical analysis method to improve the quantification of reversible tracer binding in radioligand receptor dynamic PET studies , 2009, NeuroImage.
[58] Badreddine Bencherif,et al. Application of MRI-based partial-volume correction to the analysis of PET images of mu-opioid receptors using statistical parametric mapping. , 2004, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.
[59] G Lucignani,et al. Estimation of Component and Parameter Distributions in Spectral Analysis , 1998, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[60] L. Farde,et al. Kinetic Analysis of Central [11C]Raclopride Binding to D2-Dopamine Receptors Studied by PET—A Comparison to the Equilibrium Analysis , 1989, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[61] F. Turkheimer,et al. The Use of Spectral Analysis to Determine Regional Cerebral Glucose Utilization with Positron Emission Tomography and [18F]Fluorodeoxyglucose: Theory, Implementation, and Optimization Procedures , 1994, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[62] F E Turkheimer,et al. Quantification of intra-tumour cell proliferation heterogeneity using imaging descriptors of 18F fluorothymidine-positron emission tomography , 2013, Physics in medicine and biology.
[63] Alessandra Bertoldo,et al. Dose-responsive insulin regulation of glucose transport in human skeletal muscle. , 2006, American journal of physiology. Endocrinology and metabolism.
[64] I. Buvat,et al. A review of partial volume correction techniques for emission tomography and their applications in neurology, cardiology and oncology , 2012, Physics in medicine and biology.
[65] Masahiro Fujita,et al. Population-based input function and image-derived input function for [11C](R)-rolipram PET imaging: Methodology, validation and application to the study of major depressive disorder , 2012, NeuroImage.
[66] S Yoshioka,et al. Lung tumor imaging by positron emission tomography using C-11 L-methionine. , 1985, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.
[67] Habib Zaidi,et al. Direct parametric reconstruction for dynamic [18F]-FDG PET/CT imaging in the body , 2012, 2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC).
[68] Mark Slifstein,et al. Positron emission tomography: imaging and quantification of neurotransporter availability. , 2002, Methods.
[69] Alessandra Bertoldo,et al. Use of Spectral Analysis with Iterative Filter for Voxelwise Determination of Regional Rates of Cerebral Protein Synthesis with L-[1-11C]leucine PET , 2012, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[70] Steven P. Larson,et al. Prognostic value of quantitative fluorodeoxyglucose measurements in newly diagnosed metastatic breast cancer , 2013, Cancer medicine.
[71] M. Mintun,et al. A quantitative model for the in vivo assessment of drug binding sites with positron emission tomography , 1984, Annals of neurology.
[72] D. Bergstrom,et al. Repeatability of Quantitative FDG-PET/CT and Contrast-Enhanced CT in Recurrent Ovarian Carcinoma: Test–Retest Measurements for Tumor FDG Uptake, Diameter, and Volume , 2014, Clinical Cancer Research.
[73] D L Alexoff,et al. A Strategy for Removing the Bias in the Graphical Analysis Method , 2001, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[74] G Blomqvist,et al. Comparison of the Transient Equilibrium and Continuous Infusion Method for Quantitative PET Analysis of [11C]Raclopride Binding , 1998, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[75] K. Schmidt,et al. Which Linear Compartmental Systems Can Be Analyzed by Spectral Analysis of PET Output Data Summed over All Compartments? , 1999, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[76] Robert B. Innis,et al. SPECT Quantification of [123I]Iomazenil Binding to Benzodiazepine Receptors in Nonhuman Primates: II. Equilibrium Analysis of Constant Infusion Experiments and Correlation with in vitro Parameters , 1994, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[77] Jean Logan,et al. The Use of Alternative Forms of Graphical Analysis to Balance Bias and Precision in PET Images , 2010, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[78] Alessandra Bertoldo,et al. PET Parametric Imaging Improved by Global-Two-Stage Method , 2009, Annals of Biomedical Engineering.
[79] C. Patlak,et al. Graphical Evaluation of Blood-to-Brain Transfer Constants from Multiple-Time Uptake Data. Generalizations , 1985, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[80] Tove Grönroos,et al. Quantifying tumour hypoxia with fluorine-18 fluoroerythronitroimidazole ([18F]FETNIM) and PET using the tumour to plasma ratio , 2002, European Journal of Nuclear Medicine and Molecular Imaging.
[81] A A Lammertsma,et al. Image-derived input functions for determination of MRGlu in cardiac (18)F-FDG PET scans. , 2001, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.
[82] D. DuBois,et al. A formula to estimate the approximate surface area if height and weight be known , 1989 .
[83] C. Cobelli,et al. Evaluation of compartmental and spectral analysis models of [/sup 18/F]FDG kinetics for heart and brain studies with PET , 1998, IEEE Transactions on Biomedical Engineering.
[84] S. Shousha,et al. Quantification of cellular proliferation in tumor and normal tissues of patients with breast cancer by [18F]fluorothymidine-positron emission tomography imaging: evaluation of analytical methods. , 2005, Cancer research.