Artigo Acesso aberto Revisado por pares

Indicator Transit Time Considered as a Gamma Variate

1964; Lippincott Williams & Wilkins; Volume: 14; Issue: 6 Linguagem: Inglês

10.1161/01.res.14.6.502

ISSN

1524-4571

Autores

Howard Thompson, C F Starmer, Robert E. Whalen, Henry D. McIntosh,

Tópico(s)

Functional Brain Connectivity Studies

Resumo

HomeCirculation ResearchVol. 14, No. 6Indicator Transit Time Considered as a Gamma Variate Free AccessResearch ArticlePDF/EPUBAboutView PDFSections ToolsAdd to favoritesDownload citationsTrack citationsPermissions ShareShare onFacebookTwitterLinked InMendeleyReddit Jump toFree AccessResearch ArticlePDF/EPUBIndicator Transit Time Considered as a Gamma Variate HOWARD K. THOMPSONJr., C. FRANK STARMER, ROBERT E. WHALEN and HENRY D. MCINTOSH HOWARD K. THOMPSONJr.HOWARD K. THOMPSONJr. Cardiovascular Laboratory, Department of Medicine, Duke University Medical Center, Durham, North Carolina , C. FRANK STARMERC. FRANK STARMER Cardiovascular Laboratory, Department of Medicine, Duke University Medical Center, Durham, North Carolina , ROBERT E. WHALENROBERT E. WHALEN Cardiovascular Laboratory, Department of Medicine, Duke University Medical Center, Durham, North Carolina and HENRY D. MCINTOSHHENRY D. MCINTOSH Cardiovascular Laboratory, Department of Medicine, Duke University Medical Center, Durham, North Carolina Originally published1 Jun 1964https://doi.org/10.1161/01.RES.14.6.502Circulation Research. 1964;14:502–515 Previous Back to top Next FiguresReferencesRelatedDetailsCited By Dempsey S, Lee T, Samani A and So A (2022) Effect of Cardiac Phase on Cardiac Output Index Derived from Dynamic CT Myocardial Perfusion Imaging, Tomography, 10.3390/tomography8020092, 8:2, (1129-1140) Mo C, Zhang S, Lu J, Yu M and Yao Y (2022) Attention impedes neural representation of interpolated orientation during perceptual completion, Psychophysiology, 10.1111/psyp.14031 He H, Chi Y, Long Y, Yuan S, Zhang R, Yang Y, Frerichs I, Möller K, Fu F and Zhao Z (2021) Three broad classifications of acute respiratory failure etiologies based on regional ventilation and perfusion by electrical impedance tomography: a hypothesis-generating study, Annals of Intensive Care, 10.1186/s13613-021-00921-6, 11:1, Online publication date: 1-Dec-2021. 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Kircher M, Elke G, Stender B, Hernandez Mesa M, Schuderer F, Dossel O, Fuld M, Halaweish A, Hoffman E, Weiler N and Frerichs I Regional Lung Perfusion Analysis in Experimental ARDS by Electrical Impedance and Computed Tomography, IEEE Transactions on Medical Imaging, 10.1109/TMI.2020.3025080, 40:1, (251-261) Han M, Yang B, Fernandez B, Lafontaine M, Alcaide‐Leon P, Jakary A, Burns B, Morrison M, Villanueva‐Meyer J, Chang S, Banerjee S and Lupo J (2020) Simultaneous multi‐slice spin‐ and gradient‐echo dynamic susceptibility‐contrast perfusion‐weighted MRI of gliomas, NMR in Biomedicine, 10.1002/nbm.4399, 34:1, Online publication date: 1-Jan-2021. Borges J, Cronin J, Crockett D, Hedenstierna G, Larsson A and Formenti F (2020) Real-time effects of PEEP and tidal volume on regional ventilation and perfusion in experimental lung injury, Intensive Care Medicine Experimental, 10.1186/s40635-020-0298-2, 8:1, Online publication date: 1-Dec-2020. He H, Chi Y, Long Y, Yuan S, Frerichs I, Möller K, Fu F and Zhao Z (2020) Influence of overdistension/recruitment induced by high positive end-expiratory pressure on ventilation–perfusion matching assessed by electrical impedance tomography with saline bolus, Critical Care, 10.1186/s13054-020-03301-x, 24:1, Online publication date: 1-Dec-2020. Hopkins S (2020) Ventilation/Perfusion Relationships and Gas Exchange: Measurement Approaches Comprehensive Physiology, 10.1002/cphy.c180042, (1155-1205) Koirala N and McLennan G (2020) Blood flow quantification in dialysis access using digital subtraction angiography: A retrospective study, Computer Methods and Programs in Biomedicine, 10.1016/j.cmpb.2020.105379, 190, (105379), Online publication date: 1-Jul-2020. Hong J, Lin C, Lin Y, Lee C, Yang H, Meng L, Lin T, Hu Y, Guo W, Chu W and Wu Y Machine Learning Application With Quantitative Digital Subtraction Angiography for Detection of Hemorrhagic Brain Arteriovenous Malformations, IEEE Access, 10.1109/ACCESS.2020.3036692, 8, (204573-204584) Tache I (2019) Temporal Pixel Intensity Processing from Fluoroscopic Angiography 2019 E-Health and Bioengineering Conference (EHB), 10.1109/EHB47216.2019.8970096, 978-1-7281-2603-6, (1-4) Ellingson B, Woodworth D, Leu K, Salamon N and Holly L (2019) Spinal Cord Perfusion MR Imaging Implicates Both Ischemia and Hypoxia in the Pathogenesis of Cervical Spondylosis, World Neurosurgery, 10.1016/j.wneu.2019.04.253, 128, (e773-e781), Online publication date: 1-Aug-2019. Koirala N, Chauhan N, Thompson D, Karimloo Z, Wunderle K and McLennan G (2019) Quantification of Blood Flow in Dialysis Access Using Custom-Acquisition Protocol and Imaging Methods: A Clinical Validation Study, Journal of Vascular and Interventional Radiology, 10.1016/j.jvir.2018.10.023, 30:7, (1062-1068.e2), Online publication date: 1-Jul-2019. Ben Bouallègue F, Vauchot F and Mariano-Goulart D (2019) Comparative assessment of linear least-squares, nonlinear least-squares, and Patlak graphical method for regional and local quantitative tracer kinetic modeling in cerebral dynamic 18 F-FDG PET , Medical Physics, 10.1002/mp.13366, 46:3, (1260-1271), Online publication date: 1-Mar-2019. Reinius H, Borges J, Engström J, Ahlgren O, Lennmyr F, Larsson A and Fredén F (2018) Optimal PEEP during one-lung ventilation with capnothorax: An experimental study, Acta Anaesthesiologica Scandinavica, 10.1111/aas.13247, 63:2, (222-231), Online publication date: 1-Feb-2019. Hong J, Kao Y, Chang F and Lin C (2019) Validating the Automatic Independent Component Analysis of DSA, American Journal of Neuroradiology, 10.3174/ajnr.A5963 Bonta D and Aarsvold J Planar Computational Phantom for Modeling First-Pass Scintigraphic Measurement of Right Ventricular Ejection Fraction, IEEE Transactions on Radiation and Plasma Medical Sciences, 10.1109/TRPMS.2018.2833629, 3:1, (38-42) Ayala-Domínguez L and Brandan M (2018) Quantification of tumor angiogenesis with contrast-enhanced x-ray imaging in preclinical studies: a review, Biomedical Physics & Engineering Express, 10.1088/2057-1976/aadc2d, 4:6, (062001), Online publication date: 1-Nov-2018. Garrett J, Li Y, Li K, Wu Y, Johnson K, Schafer S and Chen G (2018) Quantification of temporal resolution improvement factor in SMART-RECON based time-resolved C-arm Cone beam computed tomography angiography (TR-CBCTA), Physics in Medicine & Biology, 10.1088/1361-6560/aadfef, 63:19, (19NT02) Hentze B, Muders T, Luepschen H, Maripuu E, Hedenstierna G, Putensen C, Walter M and Leonhardt S (2018) Regional lung ventilation and perfusion by electrical impedance tomography compared to single-photon emission computed tomography, Physiological Measurement, 10.1088/1361-6579/aac7ae, 39:6, (065004) Stadlbauer A, Mouridsen K, Doerfler A, Bo Hansen M, Oberndorfer S, Zimmermann M, Buchfelder M, Heinz G and Roessler K (2017) Recurrence of glioblastoma is associated with elevated microvascular transit time heterogeneity and increased hypoxia, Journal of Cerebral Blood Flow & Metabolism, 10.1177/0271678X17694905, 38:3, (422-432), Online publication date: 1-Mar-2018. Saka T, Gotoh T, Kagei S, Iwasawa T, Takimoto R and Tsuzuki M (2018) Pulmonary Blood Flow Analysis Based on Multiple Input Models and MR contrast calibration method., IFAC-PapersOnLine, 10.1016/j.ifacol.2018.11.634, 51:27, (247-252), . Stohanzlova P and Kolar R (2017) Tissue perfusion modelling in optical coherence tomography, BioMedical Engineering OnLine, 10.1186/s12938-017-0320-4, 16:1, Online publication date: 1-Dec-2017. Fuglsang S, Henriksen U, Hansen H, Bendtsen F and Henriksen J (2016) Gamma-variate plasma clearance versus urinary plasma clearance of 51 Cr-EDTA in patients with cirrhosis with and without fluid retention , Clinical Physiology and Functional Imaging, 10.1111/cpf.12336, 37:6, (588-595), Online publication date: 1-Nov-2017. Koirala N and McLennan G (2017) Analysis of noisy 2D angiographic images for improved blood flow rate quantification in dialysis access 2017 IEEE Western New York Image and Signal Processing Workshop (WNYISPW), 10.1109/WNYIPW.2017.8356253, 978-1-5386-6490-2, (1-5) Chase S, Taylor B, Cross T, Coffman K, Olson L and Johnson B (2017) Influence of Thoracic Fluid Compartments on Pulmonary Congestion in Chronic Heart Failure, Journal of Cardiac Failure, 10.1016/j.cardfail.2017.07.394, 23:9, (690-696), Online publication date: 1-Sep-2017. Hentze B, Muders T, Luepschen H, Leonhardt S, Putensen C and Walter M (2017) Gamma-variate modeling of indicator dilution curves in electrical impedance tomography 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 10.1109/EMBC.2017.8037635, 978-1-5090-2809-2, (3596-3599) Chatterjee N, Benefield B, Harris K, Fluckiger J, Carroll T and Lee D (2016) An empirical method for reducing variability and complexity of myocardial perfusion quantification by dual bolus cardiac MRI, Magnetic Resonance in Medicine, 10.1002/mrm.26326, 77:6, (2347-2355), Online publication date: 1-Jun-2017. Faustino-Rocha A, Gama A, Oliveira P, Vanderperren K, Saunders J, Pires M, Ferreira R and Ginja M (2017) Modulation of mammary tumor vascularization by mast cells: Ultrasonographic and histopathological approaches, Life Sciences, 10.1016/j.lfs.2017.03.013, 176, (35-41), Online publication date: 1-May-2017. Debacker C, Daoust A, Köhler S, Voiron J, Warnking J and Barbier E (2016) Impact of tissue T 1 on perfusion measurement with arterial spin labeling , Magnetic Resonance in Medicine, 10.1002/mrm.26255, 77:4, (1656-1664), Online publication date: 1-Apr-2017. Bonekamp D, Mouridsen K, Radbruch A, Kurz F, Eidel O, Wick A, Schlemmer H, Wick W, Bendszus M, Østergaard L and Kickingereder P (2016) Assessment of tumor oxygenation and its impact on treatment response in bevacizumab-treated recurrent glioblastoma, Journal of Cerebral Blood Flow & Metabolism, 10.1177/0271678X16630322, 37:2, (485-494), Online publication date: 1-Feb-2017. Tache I (2017) Three Dimensional Reconstruction and Hemodynamic Information Extraction from Monoplane Angiography Patient-specific Hemodynamic Computations: Application to Personalized Diagnosis of Cardiovascular Pathologies, 10.1007/978-3-319-56853-9_6, (153-175), . Huhndorf M, Moussavi A, Kramann N, Will O, Hattermann K, Stadelmann C, Jansen O, Boretius S and Sherman J (2016) Alterations of the Blood-Brain Barrier and Regional Perfusion in Tumor Development: MRI Insights from a Rat C6 Glioma Model, PLOS ONE, 10.1371/journal.pone.0168174, 11:12, (e0168174) Lam M, Oerlemans C, Froeling M, Deckers R, Barten-Van Rijbroek A, Viergever M, Moonen C, Bos C and Bartels L (2016) DCE-MRI and IVIM-MRI of rabbit Vx2 tumors treated with MR-HIFU-induced mild hyperthermia, Journal of Therapeutic Ultrasound, 10.1186/s40349-016-0052-0, 4:1, Online publication date: 1-Dec-2016. Manniesing R, Brune C, van Ginneken B and Prokop M (2016) A 4D CT digital phantom of an individual human brain for perfusion analysis, PeerJ, 10.7717/peerj.2683, 4, (e2683) Okkalides D (2016) Thyroid Patient Salivary Radioiodine Transit and Dysfunction Assessment Using Chewing Gums, Cancer Biotherapy and Radiopharmaceuticals, 10.1089/cbr.2016.2076, 31:9, (330-341), Online publication date: 1-Nov-2016. Teng M, Chang F, Lin C, Chiang L, Hong J and Kao Y (2016) Peritherapeutic Hemodynamic Changes of Carotid Stenting Evaluated with Quantitative DSA in Patients with Carotid Stenosis, American Journal of Neuroradiology, 10.3174/ajnr.A4813, 37:10, (1883-1888), Online publication date: 1-Oct-2016. Meijs M, Christensen S, Lansberg M, Albers G and Calamante F (2015) Analysis of perfusion MRI in stroke: To deconvolve, or not to deconvolve, Magnetic Resonance in Medicine, 10.1002/mrm.26024, 76:4, (1282-1290), Online publication date: 1-Oct-2016. Zhang J, Conlin C, Carlston K, Xie L, Kim D, Morrell G, Morton K and Lee V (2016) Optimization of saturation-recovery dynamic contrast-enhanced MRI acquisition protocol: monte carlo simulation approach demonstrated with gadolinium MR renography, NMR in Biomedicine, 10.1002/nbm.3553, 29:7, (969-977), Online publication date: 1-Jul-2016. Naresh N, Chen X, Moran E, Tian Y, French B and Epstein F (2015) Repeatability and variability of myocardial perfusion imaging techniques in mice: Comparison of arterial spin labeling and first-pass contrast-enhanced MRI, Magnetic Resonance in Medicine, 10.1002/mrm.25769, 75:6, (2394-2405), Online publication date: 1-Jun-2016. Seo J, An Y, Lee J, Ku T, Kang Y, Ahn C and Choi C (2016) Principal component analysis of dynamic fluorescence images for diagnosis of diabetic vasculopathy, Journal of Biomedical Optics, 10.1117/1.JBO.21.4.046003, 21:4, (046003), Online publication date: 12-Apr-2016. Withey S, Novak J, MacPherson L and Peet A (2015) Arterial input function and gray matter cerebral blood volume measurements in children, Journal of Magnetic Resonance Imaging, 10.1002/jmri.25060, 43:4, (981-989), Online publication date: 1-Apr-2016. Neyran B and Viallon M (2015) Post-Processing and Analysis of Dynamic Magnetic Resonance Images for Myocardial Perfusion Quantification Multi-Modality Cardiac Imaging, 10.1002/9781118574362.ch3, (103-139) Wissmann L, Niemann M, Gotschy A, Manka R and Kozerke S (2015) Quantitative three-dimensional myocardial perfusion cardiovascular magnetic resonance with accurate two-dimensional arterial input function assessment, Journal of Cardiovascular Magnetic Resonance, 10.1186/s12968-015-0212-3, 17:1, Online publication date: 1-Dec-2015. Angleys H, Østergaard L and Jespersen S (2015) The Effects of Capillary Transit Time Heterogeneity ( CTH ) on Brain Oxygenation , Journal of Cerebral Blood Flow & Metabolism, 10.1038/jcbfm.2014.254, 35:5, (806-817), Online publication date: 1-May-2015. Miller W, Behrenbeck T, McCollough C, Williamson E, Leng S, Kline T and Ritman E (2015) Coronary microcirculation changes in non-ischemic dilated cardiomyopathy identified by novel perfusion CT, The International Journal of Cardiovascular Imaging, 10.1007/s10554-015-0619-9, 31:4, (881-888), Online publication date: 1-Apr-2015. REINIUS H, BORGES J, FREDÉN F, JIDEUS L, CAMARGO E, AMATO M, HEDENSTIERNA G, LARSSON A and LENNMYR F (2015) Real-time ventilation and perfusion distributions by electrical impedance tomography during one-lung ventilation with capnothorax, Acta Anaesthesiologica Scandinavica, 10.1111/aas.12455, 59:3, (354-368), Online publication date: 1-Mar-2015. Kording F, Forkert N, Sedlacik J, Adam G, Hecher K, Arck P and Remus C (2015) Automatic differentiation of placental perfusion compartments by time-to-peak analysis in mice, Placenta, 10.1016/j.placenta.2014.12.010, 36:3, (255-261), Online publication date: 1-Mar-2015. Akkus Z, van Burken G, van den Oord S, Schinkel A, de Jong N, van der Steen A and Bosch J Carotid Intraplaque Neovascularization Quantification Software (CINQS), IEEE Journal of Biomedical and Health Informatics, 10.1109/JBHI.2014.2306454, 19:1, (332-338) Lee S, Hayano K, Zhu A, Sahani D and Yoshida H (2015) Advanced Hepatocellular Carcinoma, Journal of Computer Assisted Tomography, 10.1097/RCT.0000000000000288, 39:5, (687-696), . Lee D, Chatterjee N and Carroll T (2015) Perfusion Basic Principles of Cardiovascular MRI, 10.1007/978-3-319-22141-0_13, (179-192), . Eggen M and Swingen C (2015) Cardiovascular Magnetic Resonance Imaging and MR-Conditional Cardiac Devices Handbook of Cardiac Anatomy, Physiology, and Devices, 10.1007/978-3-319-19464-6_24, (411-435), . Khalifa F, Soliman A, El-Baz A, Abou El-Ghar M, El-Diasty T, Gimel'farb G, Ouseph R and Dwyer A (2014) Models and methods for analyzing DCE-MRI: A review, Medical Physics, 10.1118/1.4898202, 41:12, (124301), Online publication date: 17-Nov-2014. Korpisalo P, Hytönen J, Laitinen J, Närväinen J, Rissanen T, Gröhn O and Ylä-Herttuala S (2014) Ultrasound imaging with bolus delivered contrast agent for the detection of angiogenesis and blood flow irregularities, American Journal of Physiology-Heart and Circulatory Physiology, 10.1152/ajpheart.00315.2013, 307:8, (H1226-H1232), Online publication date: 15-Oct-2014. Tache I, Itu L and Niculescu R (2014) Transit time estimations from coronary angiograms 2014 18th International Conference on System Theory, Control and Computing (ICSTCC), 10.1109/ICSTCC.2014.6982533, 978-1-4799-4601-3, (897-902) Nchimi A, Mancini I and Broussaud T (2014) Influence of the cardiac cycle on time–intensity curves using multislice dynamic magnetic resonance perfusion, The International Journal of Cardiovascular Imaging, 10.1007/s10554-014-0466-0, 30:7, (1347-1355), Online publication date: 1-Oct-2014. Kao Y, Mu Huo Teng M, Kao Y, Chen Y, Wu C, Chen W, Chiu F and Chang F (2014) Automatic measurements of arterial input and venous output functions on cerebral computed tomography perfusion images: A preliminary study, Computers in Biology and Medicine, 10.1016/j.compbiomed.2014.04.015, 51, (51-60), Online publication date: 1-Aug-2014. Hadizadeh D, Jost G, Pietsch H, Weibrecht M, Perkuhn M, Boschewitz J, Keil V, Träber F, Kukuk G, Schild H and Willinek W (2014) Intraindividual Quantitative and Qualitative Comparison of Gadopentetate Dimeglumine and Gadobutrol in Time-Resolved Contrast-Enhanced 4-Dimensional Magnetic Resonance Angiography in Minipigs, Investigative Radiology, 10.1097/RLI.0000000000000036, 49:7, (457-464), Online publication date: 1-Jul-2014. Husso M, Sipola P, Kuittinen T, Manninen H, Vainio P, Hartikainen J, Saarakkala S, Töyräs J and Kuikka J (2014) Assessment of myocardial perfusion with MRI using a modified dual bolus method, Physiological Measurement, 10.1088/0967-3334/35/4/533, 35:4, (533-547), Online publication date: 1-Apr-2014. Kuenen M, Herold I, Korsten H, de la Rosette J, Wijkstra H and Mischi M Maximum-Likelihood Estimation for Indicator Dilution Analysis, IEEE Transactions on Biomedical Engineering, 10.1109/TBME.2013.2290375, 61:3, (821-831) Behrenbeck T, McCollough C, Miller W, Williamson E, Leng S, Kline T and Ritman E (2013) Early Changes in Myocardial Microcirculation in Asymptomatic Hypercholesterolemic Subjects: As Detected by Perfusion CT, Annals of Biomedical Engineering, 10.1007/s10439-013-0934-z, 42:3, (515-525), Online publication date: 1-Mar-2014. Forkert N, Cheng B, Kemmling A, Thomalla G and Fiehler J (2018) ANTONIA Perfusion and Stroke, Methods of Information in Medicine, 10.3414/ME14-01-0007, 53:06, (469-481), . Jahng G, Li K, Ostergaard L and Calamante F (2014) Perfusion Magnetic Resonance Imaging: A Comprehensive Update on Principles and Techniques, Korean Journal of Radiology, 10.3348/kjr.2014.15.5.554, 15:5, (554), . (2014) References Pattern Recognition and Signal Analysis in Medical Imaging, 10.1016/B978-0-12-409545-8.00024-8, (423-439), . Tinti E, Positano V, Giorgetti A and Marzullo P (2013) Feasibility of [123I]-meta-iodobenzylguanidine dynamic 3-D kinetic analysis in vivo using a CZT ultrafast camera: preliminary results, European Journal of Nuclear Medicine and Molecular Imaging, 10.1007/s00259-013-2549-x, 41:1, (167-173), Online publication date: 1-Jan-2014. Li X (2014) MRI Perfusion-Weighted Imaging Analysis Functional Magnetic Resonance Imaging Processing, 10.1007/978-94-007-7302-8_1, (1-37), . Li X, Coyle D, Maguire L and McGinnity T (2014) Statistical Methods for fMRI Activation and Effective Connectivity Studies Springer Handbook of Bio-/Neuroinformatics, 10.1007/978-3-642-30574-0_38, (647-672), . Lin Y, Tsai S, Huang T, Chung H, Huang Y, Wu F, Lin C, Peng N and Wu M (2013) Inflow-weighted pulmonary perfusion: comparison between dynamic contrast-enhanced MRI versus perfusion scintigraphy in complex pulmonary circulation, Journal of Cardiovascular Magnetic Resonance, 10.1186/1532-429X-15-21, 15:1, Online publication date: 1-Dec-2013. Barbier E (2013) IRM de perfusion T2*, Journal de Radiologie Diagnostique et Interventionnelle, 10.1016/j.jradio.2013.04.007, 94:12, (1203-1207), Online publication date: 1-Dec-2013. Barbier E (2013) T2-*weighted perfusion MRI, Diagnostic and Interventional Imaging, 10.1016/j.diii.2013.06.007, 94:12, (1205-1209), Online publication date: 1-Dec-2013. Pienn M, Kovacs G, Tscherner M, Johnson T, Kullnig P, Stollberger R, Olschewski A, Olschewski H and Bálint Z (2013) Determination of cardiac output with dynamic contrast-enhanced computed tomography, The International Journal of Cardiovascular Imaging, 10.1007/s10554-013-0279-6, 29:8, (1871-1878), Online publication date: 1-Dec-2013. Calamante F (2013) Arterial input function in perfusion MRI: A comprehensive review, Progress in Nuclear Magnetic Resonance Spectroscopy, 10.1016/j.pnmrs.2013.04.002, 74, (1-32), Online publication date: 1-Oct-2013. Kazan S, Reynolds S, Kennerley A, Wholey E, Bluff J, Berwick J, Cunningham V, Paley M and Tozer G (2012) Kinetic modeling of hyperpolarized 13 C pyruvate metabolism in tumors using a measured arterial input function , Magnetic Resonance in Medicine, 10.1002/mrm.24546, 70:4, (943-953), Online publication date: 1-Oct-2013. Schewzow K, Andreas M, Moser E, Wolzt M and Schmid A (2012) Automatic model-based analysis of skeletal muscle BOLD-MRI in reactive hyperemia, Journal of Magnetic Resonance Imaging, 10.1002/jmri.23919, 38:4, (963-969), Online publication date: 1-Oct-2013. Renaud J, DaSilva J, Beanlands R and deKemp R (2013) Characterizing the normal range of myocardial blood flow with 82rubidium and 13N-ammonia PET imaging, Journal of Nuclear Cardiology, 10.1007/s12350-013-9721-3, 20:4, (578-591), Online publication date: 1-Aug-2013. Willats L and Calamante F (2012) The 39 steps: evading error and deciphering the secrets for accurate dynamic susceptibility contrast MRI, NMR in Biomedicine, 10.1002/nbm.2833, 26:8, (913-931), Online publication date: 1-Aug-2013. Schmiedeskamp H, Andre J, Straka M, Christen T, Nagpal S, Recht L, Thomas R, Zaharchuk G and Bammer R (2013) Simultaneous Perfusion and Permeability Measurements Using Combined Spin- and Gradient-Echo MRI, Journal of Cerebral Blood Flow & Metabolism, 10.1038/jcbfm.2013.10, 33:5, (732-743), Online publication date: 1-May-2013. Shimatani Y, Kodani K, Okada J, Ametani M, Kaminou T and Ogawa T (2013) Clinical feasibility of pulmonary perfusion analysis using dynamic computed tomography and a gamma residue function, Japanese Journal of Radiology, 10.1007/s11604-012-0175-3, 31:4, (243-252), Online publication date: 1-Apr-2013. Elliott J, Milej D, Gerega A, Weigl W, Diop M, Morrison L, Lee T, Liebert A and St. Lawrence K (2013) Variance of time-of-flight distribution is sensitive to cerebral blood flow as demonstrated by ICG bolus-tracking measurements in adult pigs, Biomedical Optics Express, 10.1364/BOE.4.000206, 4:2, (206), Online publication date: 1-Feb-2013. Kim G, Ferdjallah M and McKenzie F (2013) An Empirical Muscle Intracellular Action Potential Model with Multiple Erlang probability Density Functions based on a Modified Newton Method, Biomedical Engineering and Computational Biology, 10.4137/BECB.S11646, 5, (BECB.S11646), Online publication date: 1-Jan-2013. Lee S, Hayano K, Sahani D and Yoshida H (2013) Use of Tracer Kinetic Model-Driven Biomarkers for Monitoring Antiangiogenic Therapy of Hepatocellular Carcinoma in First-Pass Perfusion CT Abdominal Imaging. Computation and Clinical Applications, 10.1007/978-3-642-41083-3_30, (270-279), . Forkert N, Illies T, Möller D, Handels H, Säring D and Fiehler J (2012) Analysis of the Influence of 4D MR Angiography Temporal Resolution on Time-to-Peak Estimation Error for Different Cerebral Vessel Structures, American Journal of Neuroradiology, 10.3174/ajnr.A3089, 33:11, (2103-2109), Online publication date: 1-Dec-2012. Konno M, Hosokai Y, Usui A, Abe M, Tateishi T, Kawasumi Y, Tsuda M, Ota H, Takase K and Saito H (2012) Cardiac Output Obtained from Test Bolus Injections as a Factor in Contrast Injection Rate Revision of Following Coronary CT Angiography, Acta Radiologica, 10.1258/ar.2012.120276, 53:10, (1107-1111), Online publication date: 1-Dec-2012. Ferré J, Shiroishi M and Law M (2012) Advanced Techniques Using Contrast Media in Neuroimaging, Magnetic Resonance Imaging Clinics of North America, 10.1016/j.mric.2012.07.007, 20:4, (699-713), Online publication date: 1-Nov-2012. Ku T, Choi C and Baron J (2012) Noninvasive Optical Measurement of Cerebral Blood Flow in Mice Using Molecular Dynamics Analysis of Indocyanine Green, PLoS ONE, 10.1371/journal.pone.0048383, 7:10, (e48383) Lee H, Hwang S, Chung J, Jeon J, Choi J and Jung H (2012) Evaluation of Tumor Angiogenesis in a Mouse PC-3 Prostate Cancer Model Using Dynamic Contrast-Enhanced Sonography, Journal of Ultrasound in Medicine, 10.7863/jum.2012.31.8.1223, 31:8, (1223-1231), Online publication date: 1-Aug-2012. Mouannes-Srour J, Shin W, Ansari S, Hurley M, Vakil P, Bendok B, Lee J, Derdeyn C and Carroll T (2011) Correction for arterial-tissue delay and dispersion in absolute quantitative cerebral perfusion DSC MR imaging, Magnetic Resonance in Medicine, 10.1002/mrm.23257, 68:2, (495-506), Online publication date: 1-Aug-2012. Forkert N, Fiehler J, Illies T, Möller D, Handels H and Säring D (2012) 4D blood flow visualization fusing 3D and 4D MRA image sequences, Journal of Magnetic Resonance Imaging, 10.1002/jmri.23652, 36:2, (443-453), Online publication date: 1-Aug-2012. Elliott J, Diop M, Lee T and St. Lawrence K (2012) Model-independent dynamic constraint to improve the optical reconstruction of regional kinetic parameters, Optics Letters, 10.1364/OL.37.002571, 37:13, (2571), Online publication date: 1-Jul-2012. Lemoine S, Rognant N, Collet-Benzaquen D and Juillard L (2012) Apport de la tomodensitométrie par rayons X dans l'évaluation de la performance rénale, Néphrologie & Thérapeutique, 10.1016/j.nephro.2011.07.413, 8:4, (206-211), Online publication date: 1-Jul-2012. Zhang Y, Wang J, Wang X, Zhang J, Fang J and Jiang X (2012) Feasibility study of exploring a T1-weighted dynamic contrast-enhanced MR approach for brain perfusion imaging, Journal of Magnetic Resonance Imaging, 10.1002/jmri.23570, 35:6, (1322-1331), Online publication date: 1-Jun-2012. Mahnken A, Jost G, Seidensticker P, Kuhl C and Pietsch H (2012) Contrast timing in computed tomography: Effect of different contrast media concentrations on bolus geometry, European Journal of Radiology, 10.1016/j.ejrad.2011.12.038, 81:4, (e629-e632), Online publication date: 1-Apr-2012. Lietzmann F, Zöllner F, Attenberger U, Haneder S, Michaely H and Schad L (2011) DCE-MRI of the human kidney using BLADE: A feasibility study in healthy volunteers, Journal of Magnetic Resonance Imaging, 10.1002/jmri.23509, 35:4, (868-874), Online publication date: 1-Apr-2012. Borges J, Suarez-Sipmann F, Bohm S, Tusman G, Melo A, Maripuu E, Sandström M, Park M, Costa E, Hedenstierna G and Amato M (2012) Regional lung perfusion estimated by electrical impedance tomography in a piglet model of lung collapse, Journal of Applied Physiology, 10.1152/japplphysiol.01090.2010, 112:1, (225-236), Online publication date: 1-Jan-2012. Mehrabian H, Lindvere L, Stefanovic B and Martel A (2012) A constrained independent component analysis technique for artery–vein separation of two-photon laser scanning microscopy images of the cerebral microvasculature, Medical Image Analysis, 10.1016/j.media.2011.08.002, 16:1, (239-251), Online publication date: 1-Jan-2012. Alassi S, Kowarschik M, Pohl T, Köstler H and Rude U (2012) Estimating Blood Flow Based on 2D Angiographic Image Sequences Bildverarbeitung für die Medizin 2012, 10.1007/978-3-642-28502-8_66, (380-385), . Bassingthwaighte J, Butterworth E, Jardine B and Raymond G (2012) Compartmental Modeling in the Analysis of Biological Systems Computational Toxicology, 10.1007/978-1-62703-050-2_17, (391-438), . Brands J, Vink H and Van Teeffelen J (2011) Comparison of four mathematical models to analyze indicator-dilution curves in the coronary circulation, Medical & Biological Engineering & Computing, 10.1007/s11517-011-0845-9, 49:12, (1471-1479), Online publication date: 1-Dec-2011. Patil V and Johnson G (2011) An improved model for describing the contrast bolus in perfusion MRI, Medical Physics, 10.1118/1.3658570, 38:12, (6380-6383), Online publication date: 9-Nov-2011. Graafen D, Hamer J, Weber S and Schreiber L (2011) Quantitative myocardial perfusion magneti

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