Artigo Acesso aberto Revisado por pares

Theoretical Basis of Indicator-Dilution Methods For Measuring Flow and Volume

1962; Lippincott Williams & Wilkins; Volume: 10; Issue: 3 Linguagem: Inglês

10.1161/01.res.10.3.393

ISSN

1524-4571

Autores

Kenneth L. Zierler,

Tópico(s)

Advanced Neuroimaging Techniques and Applications

Resumo

HomeCirculation ResearchVol. 10, No. 3Theoretical Basis of Indicator-Dilution Methods For Measuring Flow and Volume Free AccessResearch ArticlePDF/EPUBAboutView PDFSections ToolsAdd to favoritesDownload citationsTrack citationsPermissions ShareShare onFacebookTwitterLinked InMendeleyReddit Jump toFree AccessResearch ArticlePDF/EPUBTheoretical Basis of Indicator-Dilution Methods For Measuring Flow and Volume Kenneth L. Zierler Kenneth L. ZierlerKenneth L. Zierler Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, Marryland Originally published1 Mar 1962https://doi.org/10.1161/01.RES.10.3.393Circulation Research. 1962;10:393–407 Previous Back to top Next FiguresReferencesRelatedDetailsCited By Schiwek M, Triphan S, Biederer J, Weinheimer O, Eichinger M, Vogelmeier C, Jörres R, Kauczor H, Heußel C, Konietzke P, von Stackelberg O, Risse F, Jobst B and Wielpütz M (2021) Quantification of pulmonary perfusion abnormalities using DCE-MRI in COPD: comparison with quantitative CT and pulmonary function, European Radiology, 10.1007/s00330-021-08229-6, 32:3, (1879-1890), Online publication date: 1-Mar-2022. Takeuchi K, Isozaki M, Higashino Y, Kosaka N, Kikuta K, Ishida S, Kanamoto M, Takei N, Okazawa H and Kimura H (2022) The Utility of Arterial Transit Time Measurement for Evaluating the Hemodynamic Perfusion State of Patients with Chronic Cerebrovascular Stenosis or Occlusive Disease: Correlative Study between MR Imaging and 15O-labeled H2O Positron Emission Tomography, Magnetic Resonance in Medical Sciences, 10.2463/mrms.mp.2020-0123, . Sirajuddin A, Mirmomen S, Kligerman S, Groves D, Burke A, Kureshi F, White C and Arai A (2021) Ischemic Heart Disease: Noninvasive Imaging Techniques and Findings, RadioGraphics, 10.1148/rg.2021200125, 41:4, (E990-E1021), Online publication date: 1-Jul-2021. Milidonis X, Franks R, Schneider T, Sánchez-González J, Sammut E, Plein S and Chiribiri A (2021) Influence of the arterial input sampling location on the diagnostic accuracy of cardiovascular magnetic resonance stress myocardial perfusion quantification, Journal of Cardiovascular Magnetic Resonance, 10.1186/s12968-021-00733-4, 23:1, Online publication date: 1-Dec-2021. Barthel H, Zeisig V, Nitzsche B, Patt M, Patt J, Becker G, Dreyer A, Boltze J and Sabri O (2021) Cerebral Blood Flow Measurement with Oxygen-15 Water Positron Emission Tomography PET and SPECT of Neurobiological Systems, 10.1007/978-3-030-53176-8_5, (127-152), . Hentze B, Muders T, Hoog Antink C, Putensen C, Larsson A, Hedenstierna G, Walter M and Leonhardt S (2021) A model-based source separation algorithm for lung perfusion imaging using electrical impedance tomography, Physiological Measurement, 10.1088/1361-6579/ac0e84, 42:8, (084001), Online publication date: 1-Aug-2021. Zampini M, Buizza G, Paganelli C, Fontana G, D'Ippolito E, Valvo F, Preda L and Baroni G (2020) Perfusion and diffusion in meningioma tumors: a preliminary multiparametric analysis with Dynamic Susceptibility Contrast and IntraVoxel Incoherent Motion MRI, Magnetic Resonance Imaging, 10.1016/j.mri.2019.12.003, 67, (69-78), Online publication date: 1-Apr-2020. Milidonis X, Nazir M, Schneider T, Capstick M, Drost S, Kok G, Pelevic N, Poelma C, Schaeffter T and Chiribiri A (2020) Pixel‐wise assessment of cardiovascular magnetic resonance first‐pass perfusion using a cardiac phantom mimicking transmural myocardial perfusion gradients, Magnetic Resonance in Medicine, 10.1002/mrm.28296, 84:5, (2871-2884), Online publication date: 1-Nov-2020. Tian Y and Adluru G (2020) Dynamic Contrast-Enhanced MRI: Basic Physics, Pulse Sequences, and Modeling Quantitative Magnetic Resonance Imaging, 10.1016/B978-0-12-817057-1.00015-9, (321-344), . Jin S, Han S, Stoyanova R, Ackerstaff E and Cho H (2019) Pattern recognition analysis of dynamic susceptibility contrast (DSC)‐MRI curves automatically segments tissue areas with intact blood–brain barrier in a rat stroke model: A feasibility and comparison study, Journal of Magnetic Resonance Imaging, 10.1002/jmri.26949, 51:5, (1369-1381), Online publication date: 1-May-2020. Bertoldo A and Cobelli C (2020) Data modeling and simulation Biomedical Information Technology, 10.1016/B978-0-12-816034-3.00014-6, (415-460), . Chen Y, Nazir M, Kozerke S, Plein S and Pahwa S (2020) Applications of Quantitative Perfusion and Permeability in the Body Quantitative Magnetic Resonance Imaging, 10.1016/B978-0-12-817057-1.00019-6, (427-454), . Franks R, Milidonis X, Schneider T, Sánchez-González J, Plein S and Chiribiri A (2020) Impact of the Arterial Input Sampling Location on CMR First-Pass Myocardial Perfusion Quantification, JACC: Cardiovascular Imaging, 10.1016/j.jcmg.2020.06.035, 13:12, (2693-2695), Online publication date: 1-Dec-2020. Lind E, Knutsson L, Ståhlberg F and Wirestam R (2020) Dynamic contrast-enhanced QSM for perfusion imaging: a systematic comparison of ΔR2*- and QSM-based contrast agent concentration time curves in blood and tissue, Magnetic Resonance Materials in Physics, Biology and Medicine, 10.1007/s10334-020-00831-x, 33:5, (663-676), Online publication date: 1-Oct-2020. Scannell C, Villa A, Lee J, Breeuwer M and Chiribiri A Robust Non-Rigid Motion Compensation of Free-Breathing Myocardial Perfusion MRI Data, IEEE Transactions on Medical Imaging, 10.1109/TMI.2019.2897044, 38:8, (1812-1820) Selvanayagam J, Nucifora G and Neubauer S (2019) Cardiovascular Magnetic Resonance Cardiac CT, PET & MR, 10.1002/9781118754467.ch2, (38-90) Jerosch-Herold M and Wilke N (2019) Myocardial Perfusion Imaging Theory Cardiovascular Magnetic Resonance, 10.1016/B978-0-323-41561-3.00005-7, (40-50.e2), . Nazir M, Gould S, Milidonis X, Reyes E, Ismail T, Neji R, Roujol S, O'Doherty J, Xue H, Barrington S, Schaeffter T, Razavi R, Marsden P, Kellman P, Plein S and Chiribiri A (2019) Simultaneous 13N-Ammonia and gadolinium first-pass myocardial perfusion with quantitative hybrid PET-MR imaging: a phantom and clinical feasibility study, European Journal of Hybrid Imaging, 10.1186/s41824-019-0062-6, 3:1, Online publication date: 1-Dec-2019. Argueta E and Paniagua D (2019) Thermodilution Cardiac Output, Cardiology in Review, 10.1097/CRD.0000000000000223, 27:3, (138-144), Online publication date: 1-May-2019. Chiribiri A (2018) Cardiac Perfusion MRI Quantification of Biophysical Parameters in Medical Imaging, 10.1007/978-3-319-65924-4_22, (471-485), . Mischi M, Turco S, Soliman O, ten Cate F, Wijkstra H and Schoots I (2018) Intravascular Contrast Agents Quantification of Contrast Kinetics in Clinical Imaging, 10.1007/978-3-319-64638-1_3, (39-89), . Thomas D, Shmueli K, Rega M, Torrealdea F, van der Weerd L, Lythgoe M and Thornton J (2017) Experimental Models of Brain Disease: MRI Contrast Mechanisms for the Assessment of Pathophysiological Status Modern Magnetic Resonance, 10.1007/978-3-319-28275-6_97-1, (1-30), . Akiyama D, Nishimura T, Sumikura H, Iizuka K, Mizuno T, Tsukiya T, Takewa Y, Ono M and Tatsumi E (2018) Accurate Method of Quantification of Aortic Insufficiency During Left Ventricular Assist Device Support by Thermodilution Analysis: Proof of Concept and Validation by a Mock Circulatory System, Artificial Organs, 10.1111/aor.13158, 42:10, (954-960), Online publication date: 1-Oct-2018. Roque T, Risser L, Kersemans V, Smart S, Allen D, Kinchesh P, Gilchrist S, Gomes A, Schnabel J and Chappell M A DCE-MRI Driven 3-D Reaction-Diffusion Model of Solid Tumor Growth, IEEE Transactions on Medical Imaging, 10.1109/TMI.2017.2779811, 37:3, (724-732) Hsu L, Jacobs M, Benovoy M, Ta A, Conn H, Winkler S, Greve A, Chen M, Shanbhag S, Bandettini W and Arai A (2018) Diagnostic Performance of Fully Automated Pixel-Wise Quantitative Myocardial Perfusion Imaging by Cardiovascular Magnetic Resonance, JACC: Cardiovascular Imaging, 10.1016/j.jcmg.2018.01.005, 11:5, (697-707), Online publication date: 1-May-2018. Michael Peters A (2018) The precise physiological definition of tissue perfusion and clearance measured from imaging, European Journal of Nuclear Medicine and Molecular Imaging, 10.1007/s00259-018-3982-7, 45:7, (1139-1141), Online publication date: 1-Jul-2018. Caballo M, Mann R and Sechopoulos I (2018) Patient-based 4D digital breast phantom for perfusion contrast-enhanced breast CT imaging, Medical Physics, 10.1002/mp.13156, 45:10, (4448-4460), Online publication date: 1-Oct-2018. Thomas D, Shmueli K, Rega M, Torrealdea F, van der Weerd L, Lythgoe M and Thornton J (2018) Experimental Models of Brain Disease: MRI Contrast Mechanisms for the Assessment of Pathophysiological Status Modern Magnetic Resonance, 10.1007/978-3-319-28388-3_97, (63-92), . Risse F and Bauman G (2016) MR Perfusion in the Lung MRI of the Lung, 10.1007/174_2016_82, (53-67), . Alsaedi A, Thomas D, Bisdas S and Golay X (2018) Overview and Critical Appraisal of Arterial Spin Labelling Technique in Brain Perfusion Imaging, Contrast Media & Molecular Imaging, 10.1155/2018/5360375, 2018, (1-15), . Gong C, Han C, Gan G, Deng Z, Zhou Y, Yi J, Zheng X, Xie C and Jin X (2017) Low-dose dynamic myocardial perfusion CT image reconstruction using pre-contrast normal-dose CT scan induced structure tensor total variation regularization, Physics in Medicine and Biology, 10.1088/1361-6560/aa5d40, 62:7, (2612-2635), Online publication date: 7-Apr-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. Peruzzo D, Castellaro M, Pillonetto G and Bertoldo A (2017) Stable spline deconvolution for dynamic susceptibility contrast MRI, Magnetic Resonance in Medicine, 10.1002/mrm.26582, 78:5, (1801-1811), Online publication date: 1-Nov-2017. Hietschold V, Abramyuk A, Juratli T, Sitoci-Ficici K, Laniado M and Linn J (2017) Magnetic Resonance Perfusion in Brain Tumors: Comparison of Different Evaluation Approaches in Dual-Echo and Multi-Echo Techniques, International Journal of Medical Physics, Clinical Engineering and Radiation Oncology, 10.4236/ijmpcero.2017.62016, 06:02, (174-192), . Pizzolato M, Boutelier T and Deriche R (2017) Perfusion deconvolution in DSC-MRI with dispersion-compliant bases, Medical Image Analysis, 10.1016/j.media.2016.12.001, 36, (197-215), Online publication date: 1-Feb-2017. Turco S, Wijkstra H and Mischi M Mathematical Models of Contrast Transport Kinetics for Cancer Diagnostic Imaging: A Review, IEEE Reviews in Biomedical Engineering, 10.1109/RBME.2016.2583541, 9, (121-147) Lamata P, Cookson A and Smith N (2015) Clinical Diagnostic Biomarkers from the Personalization of Computational Models of Cardiac Physiology, Annals of Biomedical Engineering, 10.1007/s10439-015-1439-8, 44:1, (46-57), Online publication date: 1-Jan-2016. Meagher R and Shankar J (2016) CT Perfusion in Acute Stroke: "Black Holes" on Time-to-Peak Image Maps Indicate Unsalvageable Brain, Journal of Neuroimaging, 10.1111/jon.12352, 26:6, (605-611), Online publication date: 1-Nov-2016. Zeng D, Gong C, Bian Z, Huang J, Zhang X, Zhang H, Lu L, Niu S, Zhang Z, Liang Z, Feng Q, Chen W and Ma J (2016) Robust dynamic myocardial perfusion CT deconvolution for accurate residue function estimation via adaptive-weighted tensor total variation regularization: a preclinical study, Physics in Medicine and Biology, 10.1088/0031-9155/61/22/8135, 61:22, (8135-8156), Online publication date: 21-Nov-2016. Nguyen D, Bhaskaran A, Chik W, Barry M, Pouliopoulos J, Kosobrodov R, Jin C, Oh T, Thiagalingam A and McEwan A (2015) Perfusion redistribution after a pulmonary-embolism-like event with contrast enhanced EIT, Physiological Measurement, 10.1088/0967-3334/36/6/1297, 36:6, (1297-1309), Online publication date: 1-Jun-2015. Smitha K, Gupta A and Jayasree R (2015) Relative percentage signal intensity recovery of perfusion metrics—an efficient tool for differentiating grades of glioma, The British Journal of Radiology, 10.1259/bjr.20140784, 88:1052, (20140784), Online publication date: 1-Aug-2015. Herold I, Saporito S, Bouwman R, Houthuizen P, van Assen H, Mischi M and Korsten H (2016) Reliability, repeatability, and reproducibility of pulmonary transit time assessment by contrast enhanced echocardiography, Cardiovascular Ultrasound, 10.1186/s12947-015-0044-1, 14:1, Online publication date: 1-Dec-2015. (2014) References Pattern Recognition and Signal Analysis in Medical Imaging, 10.1016/B978-0-12-409545-8.00024-8, (423-439), . Sammut E, Zarinabad N, Vianello P and Chiribiri A (2014) Quantitative Assessment of Perfusion – Where Are We Now?, Current Cardiovascular Imaging Reports, 10.1007/s12410-014-9278-9, 7:7, Online publication date: 1-Jul-2014. Li X (2014) MRI Perfusion-Weighted Imaging Analysis Functional Magnetic Resonance Imaging Processing, 10.1007/978-94-007-7302-8_1, (1-37), . 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. Mehndiratta A, Calamante F, MacIntosh B, Crane D, Payne S and Chappell M (2014) Modeling and correction of bolus dispersion effects in dynamic susceptibility contrast MRI, Magnetic Resonance in Medicine, 10.1002/mrm.25077, 72:6, (1762-1774), Online publication date: 1-Dec-2014. Lowerison M, Nicole Hague M, Chambers A and Lacefield J (2014) A compound speckle model for vascular complexity quantification in nonlinear contrast-enhanced ultrasonography 2014 IEEE International Ultrasonics Symposium (IUS), 10.1109/ULTSYM.2014.0560, 978-1-4799-7049-0, (2249-2252) Wirestam R, Månsson S and Knutsson L (2014) Perfusion Imaging and Hyperpolarized Agents for MRI Comprehensive Biomedical Physics, 10.1016/B978-0-444-53632-7.00303-8, (37-53), . Miller C, Naish J, Ainslie M, Tonge C, Tout D, Arumugam P, Banerji A, Egdell R, Clark D, Weale P, Steadman C, McCann G, Ray S, Parker G and Schmitt M (2014) Voxel-wise quantification of myocardial blood flow with cardiovascular magnetic resonance: effect of variations in methodology and validation with positron emission tomography, Journal of Cardiovascular Magnetic Resonance, 10.1186/1532-429X-16-11, 16:1, Online publication date: 1-Dec-2014. 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. 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. Ichikawa M, Gotoh T, Kagei S, Iwasawa T and Tsuzuki M (2014) Pulmonary blood flow analysis based on two input model with aorta and pulmonary artery contribution using contrast-enhanced MRI 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI 2014), 10.1109/ISBI.2014.6868012, 978-1-4673-1961-4, (882-885) Pillonetto G, Dinuzzo F, Chen T, De Nicolao G and Ljung L (2014) Kernel methods in system identification, machine learning and function estimation: A survey, Automatica, 10.1016/j.automatica.2014.01.001, 50:3, (657-682), Online publication date: 1-Mar-2014. Yee S and Scalzetti E (2014) Measurement of cardiac output from dynamic pulmonary circulation time CT, Medical Physics, 10.1118/1.4875676, 41:6Part1, (061904), Online publication date: 12-May-2014. Zeisig V, Patt M, Becker G, Boltze J, Sabri O and Barthel H (2014) Cerebral Blood Flow Measurement with Oxygen-15 Water Positron Emission Tomography PET and SPECT of Neurobiological Systems, 10.1007/978-3-642-42014-6_4, (103-124), . Pillonetto G and De Nicolao G (2014) New Trends in Nonparametric Linear System Identification Modelling Methodology for Physiology and Medicine, 10.1016/B978-0-12-411557-6.00006-9, (111-129), . Amier R, Teunissen P, Marques K, Knaapen P and van Royen N (2013) Invasive measurement of coronary microvascular resistance in patients with acute myocardial infarction treated by primary PCI, Heart, 10.1136/heartjnl-2013-303832, 100:1, (13-20), Online publication date: 1-Jan-2014. Mehndiratta A, MacIntosh B, Crane D, Payne S and Chappell M (2013) A control point interpolation method for the non-parametric quantification of cerebral haemodynamics from dynamic susceptibility contrast MRI, NeuroImage, 10.1016/j.neuroimage.2012.08.083, 64, (560-570), Online publication date: 1-Jan-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. Hopp E, Bjørnerud A, Lunde K, Solheim S, Aakhus S, Arnesen H, Forfang K, Edvardsen T and Smith H (2013) Perfusion MRI at rest in subacute and chronic myocardial infarct, Acta Radiologica, 10.1177/0284185113475605, 54:4, (401-411), Online publication date: 1-May-2013. van Osch M (2013) Dynamic susceptibility contrast MRI: acquisition and analysis techniques Clinical Perfusion MRI, 10.1017/CBO9781139004053.004, (16-37) Dietrich O (2013) Techniques for Diffusion and Perfusion Assessment in Bone-Marrow MRI Magnetic Resonance Imaging of the Bone Marrow, 10.1007/174_2012_549, (339-354), . 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. Chiribiri A, Schuster A, Ishida M, Hautvast G, Zarinabad N, Morton G, Otton J, Plein S, Breeuwer M, Batchelor P, Schaeffter T and Nagel E (2012) Perfusion phantom: An efficient and reproducible method to simulate myocardial first‐pass perfusion measurements with cardiovascular magnetic resonance, Magnetic Resonance in Medicine, 10.1002/mrm.24299, 69:3, (698-707), Online publication date: 1-Mar-2013. Aquaro G, Todiere G, Di Bella G, Guiducci L, Pingitore A and Lionetti V (2013) A fast and effective method of quantifying myocardial perfusion by magnetic resonance imaging, The International Journal of Cardiovascular Imaging, 10.1007/s10554-013-0220-z, 29:6, (1313-1324), Online publication date: 1-Aug-2013. Boutelier T, Kudo K, Pautot F and Sasaki M Bayesian Hemodynamic Parameter Estimation by Bolus Tracking Perfusion Weighted Imaging, IEEE Transactions on Medical Imaging, 10.1109/TMI.2012.2189890, 31:7, (1381-1395) Hsu L, Groves D, Aletras A, Kellman P and Arai A (2012) A Quantitative Pixel-Wise Measurement of Myocardial Blood Flow by Contrast-Enhanced First-Pass CMR Perfusion Imaging, JACC: Cardiovascular Imaging, 10.1016/j.jcmg.2011.07.013, 5:2, (154-166), Online publication date: 1-Feb-2012. Calamante F (2012) Perfusion Magnetic Resonance Imaging Quantification in the Brain Visualization Techniques, 10.1007/978-1-61779-897-9_13, (283-312), . Brix G, Salehi Ravesh M, Zwick S, Griebel J and Delorme S (2012) On impulse response functions computed from dynamic contrast-enhanced image data by algebraic deconvolution and compartmental modeling, Physica Medica, 10.1016/j.ejmp.2011.03.004, 28:2, (119-128), Online publication date: 1-Apr-2012. Brix G, Griebel J and Delorme S (2012) Dynamische kontrastverstärkte ComputertomographieDynamic contrast-enhanced computed tomography, Der Radiologe, 10.1007/s00117-011-2277-9, 52:3, (277-298), Online publication date: 1-Mar-2012. McGehee B, Pollock J and Maldjian J (2012) Brain perfusion imaging: How does it work and what should I use?, Journal of Magnetic Resonance Imaging, 10.1002/jmri.23645, 36:6, (1257-1272), Online publication date: 1-Dec-2012. Vrancken S, de Boode W, Hopman J, Looijen-Salamon M, Liem K and van Heijst A (2012) Influence of lung injury on cardiac output measurement using transpulmonary ultrasound dilution: a validation study in neonatal lambs, British Journal of Anaesthesia, 10.1093/bja/aes297, 109:6, (870-878), Online publication date: 1-Dec-2012. Lefort T, Pilleul F, Mulé S, Bridal S, Frouin F, Lombard-Bohas C, Walter T, Lucidarme O and Guibal A (2012) Correlation and Agreement Between Contrast-Enhanced Ultrasonography and Perfusion Computed Tomography for Assessment of Liver Metastases from Endocrine Tumors: Normalization Enhances Correlation, Ultrasound in Medicine & Biology, 10.1016/j.ultrasmedbio.2012.02.002, 38:6, (953-961), Online publication date: 1-Jun-2012. Hansch A, Kohlmann P, Hinneburg U, Boettcher J, Malich A, Wolf G, Laue H and Pfeil A (2012) Quantitative evaluation of MR perfusion imaging using blood pool contrast agent in subjects without pulmonary diseases and in patients with pulmonary embolism, European Radiology, 10.1007/s00330-012-2428-z, 22:8, (1748-1756), Online publication date: 1-Aug-2012. Zhang H, Zhang G and Oudkerk M (2012) Meningiomas: Determination of Subtypes Using Perfusion Magnetic Resonance Imaging Tumors of the Central Nervous System, Volume 7, 10.1007/978-94-007-2894-3_8, (71-77), . Gupta V, Kirişli H, Hendriks E, van der Geest R, van de Giessen M, Niessen W, Reiber J and Lelieveldt B (2012) Cardiac MR perfusion image processing techniques: A survey, Medical Image Analysis, 10.1016/j.media.2011.12.005, 16:4, (767-785), Online publication date: 1-May-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. Wirestam R (2012) Using contrast agents to obtain maps of regional perfusion and capillary wall permeability, Imaging in Medicine, 10.2217/iim.12.24, 4:4, (423-442), Online publication date: 1-Aug-2012. 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. Ritter C, Wilke A, Wichmann T, Beer M, Hahn D and Köstler H (2011) Comparison of intravascular and extracellular contrast media for absolute quantification of myocardial rest-perfusion using high-resolution MRI, Journal of Magnetic Resonance Imaging, 10.1002/jmri.22557, 33:5, (1047-1051), Online publication date: 1-May-2011. Nusmeier A, van der Hoeven J and Lemson J (2010) Interpretation of the transpulmonary thermodilution curve in the presence of a left-to-right shunt, Intensive Care Medicine, 10.1007/s00134-010-2107-y, 37:3, (550-551), Online publication date: 1-Mar-2011. Peruzzo D, Rambaldelli G, Bertoldo A, Bellani M, Cerini R, Silvia M, Pozzi Mucelli R, Tansella M and Brambilla P (2011) The impact of schizophrenia on frontal perfusion parameters: a DSC-MRI study, Journal of Neural Transmission, 10.1007/s00702-010-0548-7, 118:4, (563-570), Online publication date: 1-Apr-2011. Bellani M, Peruzzo D, Isola M, Rambaldelli G, Perlini C, Baiano M, Cerini R, Andreone N, Barillari M, Mucelli R, Balestrieri M, Tansella M, Bertoldo A and Brambilla P (2011) Cerebellar and lobar blood flow in schizophrenia: A perfusion weighted imaging study, Psychiatry Research: Neuroimaging, 10.1016/j.pscychresns.2010.12.010, 193:1, (46-52), Online publication date: 1-Jul-2011. Peruzzo D, Bertoldo A, Zanderigo F and Cobelli C (2011) Automatic selection of arterial input function on dynamic contrast-enhanced MR images, Computer Methods and Programs in Biomedicine, 10.1016/j.cmpb.2011.02.012, 104:3, (e148-e157), Online publication date: 1-Dec-2011. Proulx F, Lemson J, Choker G and Tibby S (2011) Hemodynamic monitoring by transpulmonary thermodilution and pulse contour analysis in critically ill children, Pediatric Critical Care Medicine, 10.1097/PCC.0b013e3182070959, 12:4, (459-466), Online publication date: 1-Jul-2011. van Westen D, Petersen E, Wirestam R, Siemund R, Markenroth Bloch K, Ståhlberg F, Björkman-Burtscher I and Knutsson L (2011) Correlation between arterial blood volume obtained by arterial spin labelling and cerebral blood volume in intracranial tumours, Magnetic Resonance Materials in Physics, Biology and Medicine, 10.1007/s10334-011-0255-x, 24:4, (211-223), Online publication date: 1-Aug-2011. Konstas A, González R and Lev M (2011) CT Perfusion (CTP) Acute Ischemic Stroke, 10.1007/978-3-642-12751-9_5, (83-121), . Zazulia A, Markham J and Powers W (2011) Cerebral Blood Flow and Metabolism in Human Cerebrovascular Disease Stroke, 10.1016/B978-1-4160-5478-8.10004-1, (44-67), . Nusmeier A, de Boode W, Hopman J, Schoof P, van der Hoeven J and Lemson J (2011) Cardiac output can be measured with the transpulmonary thermodilution method in a paediatric animal model with a left-to-right shunt, British Journal of Anaesthesia, 10.1093/bja/aer127, 107:3, (336-343), Online publication date: 1-Sep-2011. Peruzzo D, Zanderigo F, Bertoldo A, Pillonetto G, Cosottini M and Cobelli C (2011) Assessment of clinical data of nonlinear stochastic deconvolution versus block-circulant singular value decomposition for quantitative dynamic susceptibility contrast magnetic resonance imaging, Magnetic Resonance Imaging, 10.1016/j.mri.2011.02.006, 29:7, (927-936), Online publication date: 1-Sep-2011. Jägersberg M, Schaller C, Boström J, Schatlo B, Kotowski M and Thees C (2010) Simultaneous Bedside Assessment of Global Cerebral Blood Flow and Effective Cerebral Perfusion Pressure in Patients with Intracranial Hypertension, Neurocritical Care, 10.1007/s12028-009-9300-2, 12:2, (225-233), Online publication date: 1-Apr-2010. Pack N and DiBella E (2010) Comparison of myocardial perfusion estimates from dynamic contrast-enhanced magnetic resonance imaging with four quantitative analysis methods, Magnetic Resonance in Medicine, 10.1002/mrm.22282, 64:1, (125-137), Online publication date: 1-Jul-2010. Pathak A, Penet M and Bhujwalla Z (2010) MR Molecular Imaging of Tumor Vasculature and Vascular Targets Tissue-Specific Vascular Endothelial Signals and Vector Targeting, Part B, 10.1016/S0065-2660(10)69010-4, (1-30), . Buyuksarac B and Ozkan M (2010) Evaluation of the effect of arterial input function on cerebral blood flow in MR perfusion imaging 2010 15th National Biomedical Engineering Meeting (BIYOMUT 2010), 10.1109/BIYOMUT.2010.5479772, 978-1-4244-6380-0, (1-4) Gawlikowski M, Pustelny T, Przywara-Chowaniec B and Nowak-Gawlikowska J (2010) Model Study of Cardiac Output Measurement by Thermodilution in Thermal Instability, Acta Physica Polonica A, 10.12693/APhysPolA.118.1124, 118:6, (1124-1126), Online publication date: 1-Dec-2010. Kosior J and Frayne R (2010) Perfusion parameters derived from bolus-tracking perfusion imaging are immune to tracer recirculation, Journal of Magnetic Resonance Imaging, 10.1002/jmri.22052, 31:3, (753-756), Online publication date: 1-Mar-2010. Brix G, Griebel J, Kiessling F and Wenz F (2010) Tracer kinetic modelling of tumour angiogenesis based on dynamic contrast-enhanced CT and MRI measurements, European Journal of Nuclear Medicine and Molecular Imaging, 10.1007/s00259-010-1448-7, 37:S1, (30-51), Online publication date: 1-Aug-2010. Jerosch-Herold M and Wilke N (2010) Myocardial Perfusion Imaging Theory Cardiovascular Magnetic Resonance, 10.1016/B978-0-443-06686-3.00004-7, (57-68), . Knutsson L, Ståhlberg F and Wirestam R (2009) Absolute quantification of perfusion using dynamic susceptibility contrast MRI: pitfalls and possibilities, Magnetic Resonance Materials in Physics, Biology and Medicine, 10.1007/s10334-009-0190-2, 23:1, (1-21), Online publication date: 1-Feb-2010. Straka M, Albers G and Bammer R (2010) Real-time diffusion-perfusion mismatch analysis in acute stroke, Journal of Magnetic Resonance Imaging, 10.1002/jmri.22338, 32:5, (1024-1037), Online publication date: 1-Nov-2010. Chou Y, Lu C, Guo W and Wu Y (2010) Blind Source Separation of Hemodynamics from Magnetic Resonance Perfusion Brain Images Using Independent Factor Analysis, International Journal of Biomedical Imaging, 10.1155/2010/360568, 2010, (1-9), . Strouthos C, Lampaskis M, Sboros V, Mcneilly A and Averkiou M Indicator dilution models for the quantification of microvascular blood flow with bolus administration of ultrasound contrast agents, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 10.1109/TUFFC.2010.1550, 57:6, (1296-1310) Bleeker E and van Osch M (2010) Measurement of cerebral perfusion using MRI, Imaging in Medicine, 10.2217/iim.09.30, 2:1, (41-61), Online publication date: 1-Feb-2010. Martirosian P, Boss A, Schraml C, Schwenzer N, Graf H, Claussen C and Schick F (2010) Magnetic resonance perfusion imaging without contrast media, European Journal of Nuclear Medicine and Molecular Imaging, 10.1007/s00259-010-1456-7, 37:S1, (52-64), Online publication date: 1-Aug-2010. Nusmeier A, van der Hoeven J and Lemson J (2014) Cardiac output monitoring in pediatric patients, Expert Review of Medical Devices, 10.1586/erd.10.19, 7:4, (503-517), Online publication date: 1-Jul-2010. Wentland A, Sadowski E, Djamali A, Grist T, Becker B and Fain S (2009) Quantitative MR Measures of Intrarenal Perfusion in the Assessment of Transplanted Kidneys, Academic Radiology, 10.1016/j.acra.2009.03.020, 16:9, (1077-1085), Online publication date: 1-Sep-2009. Neeb D, Kunz R, Ley S, Szábo G, Strauss L, Kauczo

Referência(s)
Altmetric
PlumX