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155 related items for PubMed ID: 11020827

  • 21. Noninvasive quantification of the differential portal and arterial contribution to the liver blood supply from PET measurements using the 11C-acetate kinetic model.
    Chen S, Feng D.
    IEEE Trans Biomed Eng; 2004 Sep; 51(9):1579-85. PubMed ID: 15376506
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  • 22. Image-derived and arterial blood sampled input functions for quantitative PET imaging of the angiotensin II subtype 1 receptor in the kidney.
    Feng T, Tsui BM, Li X, Vranesic M, Lodge MA, Gulaldi NC, Szabo Z.
    Med Phys; 2015 Nov; 42(11):6736-44. PubMed ID: 26520763
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  • 23. Fast parametric imaging algorithm for dual-input biomedical system parameter estimation.
    Choi HC, Chen S, Feng D, Wong KP.
    Comput Methods Programs Biomed; 2006 Jan; 81(1):49-55. PubMed ID: 16376452
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  • 24. Effects of tracer blood measurement noise on glucose metabolic rate estimation.
    Feng D, Wang X, Fulton R, Hutton B, Morris J.
    Biomed Sci Instrum; 1991 Jan; 27():43-8. PubMed ID: 2065176
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  • 25. Indirect methods for improving parameter estimation of PET kinetic models.
    Huang HM, Liu CC, Lin C.
    Med Phys; 2019 Apr; 46(4):1777-1784. PubMed ID: 30762875
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  • 26. Noninvasive quantitation of cerebral blood flow using oxygen-15-water and a dual-PET system.
    Iida H, Miura S, Shoji Y, Ogawa T, Kado H, Narita Y, Hatazawa J, Eberl S, Kanno I, Uemura K.
    J Nucl Med; 1998 Oct; 39(10):1789-98. PubMed ID: 9776289
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  • 27. An open tool for input function estimation and quantification of dynamic PET FDG brain scans.
    Bertrán M, Martínez N, Carbajal G, Fernández A, Gómez Á.
    Int J Comput Assist Radiol Surg; 2016 Aug; 11(8):1419-30. PubMed ID: 26514683
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  • 28. Assessment of brain glucose metabolism with input function determined from brain PET images by means of Bayesian ICA and MCMC methods.
    Berradja K, Boughanmi N.
    Comput Med Imaging Graph; 2012 Dec; 36(8):620-6. PubMed ID: 22884568
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  • 29. Evaluation of the reference tissue models for PET and SPECT benzodiazepine binding parameters.
    Millet P, Graf C, Buck A, Walder B, Ibáñez V.
    Neuroimage; 2002 Oct; 17(2):928-42. PubMed ID: 12377167
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  • 30. Validation of noninvasive quantification of rCBF compared with dynamic/integral method by using positron emission tomography and oxygen-15 labeled water.
    Watabe H, Itoh M, Mejia M, Fujiwara T, Jones T, Nakamura T.
    Ann Nucl Med; 1995 Nov; 9(4):191-8. PubMed ID: 8770285
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  • 31. Noninvasive quantification of the cerebral metabolic rate for glucose using positron emission tomography, 18F-fluoro-2-deoxyglucose, the Patlak method, and an image-derived input function.
    Chen K, Bandy D, Reiman E, Huang SC, Lawson M, Feng D, Yun LS, Palant A.
    J Cereb Blood Flow Metab; 1998 Jul; 18(7):716-23. PubMed ID: 9663501
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  • 32. Kinetic modeling in positron emission tomography.
    Schmidt KC, Turkheimer FE.
    Q J Nucl Med; 2002 Mar; 46(1):70-85. PubMed ID: 12072847
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  • 33. An activity-subspace approach for estimating the integrated input function and relative distribution volume in PET parametric imaging.
    Qiu P, Wang ZJ, Liu KJ, Szabo Z.
    IEEE Trans Inf Technol Biomed; 2009 Jan; 13(1):25-36. PubMed ID: 19129021
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  • 34. Compartment modeling of dynamic brain PET--the impact of scatter corrections on parameter errors.
    Häggström I, Schmidtlein CR, Karlsson M, Larsson A.
    Med Phys; 2014 Nov; 41(11):111907. PubMed ID: 25370640
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  • 35. Quantitative hemodynamic PET imaging using image-derived arterial input function and a PET/MR hybrid scanner.
    Su Y, Vlassenko AG, Couture LE, Benzinger TL, Snyder AZ, Derdeyn CP, Raichle ME.
    J Cereb Blood Flow Metab; 2017 Apr; 37(4):1435-1446. PubMed ID: 27401805
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  • 36. Comparison of 3 methods of automated internal carotid segmentation in human brain PET studies: application to the estimation of arterial input function.
    Zanotti-Fregonara P, Maroy R, Comtat C, Jan S, Gaura V, Bar-Hen A, Ribeiro MJ, Trébossen R.
    J Nucl Med; 2009 Mar; 50(3):461-7. PubMed ID: 19223421
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  • 37. Whiskers area as extracerebral reference tissue for quantification of rat brain metabolism using (18)F-FDG PET: application to focal cerebral ischemia.
    Backes H, Walberer M, Endepols H, Neumaier B, Graf R, Wienhard K, Mies G.
    J Nucl Med; 2011 Aug; 52(8):1252-60. PubMed ID: 21764786
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  • 38. Monte Carlo simulations of clinical PET and SPECT scans: impact of the input data on the simulated images.
    Stute S, Carlier T, Cristina K, Noblet C, Martineau A, Hutton B, Barnden L, Buvat I.
    Phys Med Biol; 2011 Oct 07; 56(19):6441-57. PubMed ID: 21934192
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  • 39. Scatter Correction with Combined Single-Scatter Simulation and Monte Carlo Simulation Scaling Improved the Visual Artifacts and Quantification in 3-Dimensional Brain PET/CT Imaging with 15O-Gas Inhalation.
    Magota K, Shiga T, Asano Y, Shinyama D, Ye J, Perkins AE, Maniawski PJ, Toyonaga T, Kobayashi K, Hirata K, Katoh C, Hattori N, Tamaki N.
    J Nucl Med; 2017 Dec 07; 58(12):2020-2025. PubMed ID: 28646012
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  • 40. Estimating the input function non-invasively for FDG-PET quantification with multiple linear regression analysis: simulation and verification with in vivo data.
    Fang YH, Kao T, Liu RS, Wu LC.
    Eur J Nucl Med Mol Imaging; 2004 May 07; 31(5):692-702. PubMed ID: 14740178
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