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Items: 1 to 20 of 95

1.

Towards quantitative [18F]FDG-PET/MRI of the brain: Automated MR-driven calculation of an image-derived input function for the non-invasive determination of cerebral glucose metabolic rates.

Sundar LK, Muzik O, Rischka L, Hahn A, Rausch I, Lanzenberger R, Hienert M, Klebermass EM, Füchsel FG, Hacker M, Pilz M, Pataraia E, Traub-Weidinger T, Beyer T.

J Cereb Blood Flow Metab. 2018 May 23:271678X18776820. doi: 10.1177/0271678X18776820. [Epub ahead of print]

PMID:
29790820
2.

Image-derived input function in dynamic human PET/CT: methodology and validation with 11C-acetate and 18F-fluorothioheptadecanoic acid in muscle and 18F-fluorodeoxyglucose in brain.

Croteau E, Lavallée E, Labbe SM, Hubert L, Pifferi F, Rousseau JA, Cunnane SC, Carpentier AC, Lecomte R, Bénard F.

Eur J Nucl Med Mol Imaging. 2010 Aug;37(8):1539-50. doi: 10.1007/s00259-010-1443-z. Epub 2010 May 2.

3.

Fully automated calculation of image-derived input function in simultaneous PET/MRI in a sheep model.

Jochimsen TH, Zeisig V, Schulz J, Werner P, Patt M, Patt J, Dreyer AY, Boltze J, Barthel H, Sabri O, Sattler B.

EJNMMI Phys. 2016 Dec;3(1):2. doi: 10.1186/s40658-016-0139-2. Epub 2016 Feb 13.

4.

Image-derived input function from the vena cava for 18F-FDG PET studies in rats and mice.

Lanz B, Poitry-Yamate C, Gruetter R.

J Nucl Med. 2014 Aug;55(8):1380-8. doi: 10.2967/jnumed.113.127381. Epub 2014 Jun 9.

5.

Noninvasive image derived heart input function for CMRglc measurements in small animal slow infusion FDG PET studies.

Xiong G, Paul C, Todica A, Hacker M, Bartenstein P, Böning G.

Phys Med Biol. 2012 Dec 7;57(23):8041-59. doi: 10.1088/0031-9155/57/23/8041. Epub 2012 Nov 16.

PMID:
23160517
6.

Combining image-derived and venous input functions enables quantification of serotonin-1A receptors with [carbonyl-11C]WAY-100635 independent of arterial sampling.

Hahn A, Nics L, Baldinger P, Ungersböck J, Dolliner P, Frey R, Birkfellner W, Mitterhauser M, Wadsak W, Karanikas G, Kasper S, Lanzenberger R.

Neuroimage. 2012 Aug 1;62(1):199-206. doi: 10.1016/j.neuroimage.2012.04.047. Epub 2012 May 2.

PMID:
22579604
7.

Cerebral blood flow with [15O]water PET studies using an image-derived input function and MR-defined carotid centerlines.

Fung EK, Carson RE.

Phys Med Biol. 2013 Mar 21;58(6):1903-23. doi: 10.1088/0031-9155/58/6/1903. Epub 2013 Feb 27.

8.

A curve-fitting approach to estimate the arterial plasma input function for the assessment of glucose metabolic rate and response to treatment.

Vriens D, de Geus-Oei LF, Oyen WJ, Visser EP.

J Nucl Med. 2009 Dec;50(12):1933-9. doi: 10.2967/jnumed.109.065243. Epub 2009 Nov 12.

9.

Impact of Image-Derived Input Function and Fit Time Intervals on Patlak Quantification of Myocardial Glucose Uptake in Mice.

Thackeray JT, Bankstahl JP, Bengel FM.

J Nucl Med. 2015 Oct;56(10):1615-21. doi: 10.2967/jnumed.115.160820. Epub 2015 Aug 13.

10.

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. doi: 10.2967/jnumed.108.059642. Epub 2009 Feb 17.

11.

Comparison of first pass bolus AIFs extracted from sequential 18F-FDG PET and DSC-MRI of mice.

Evans E, Sawiak SJ, Ward AO, Buonincontri G, Hawkes RC, Carpenter TA.

Nucl Instrum Methods Phys Res A. 2014 Jan 11;734(B):137-140.

12.

Minimally invasive input function for 2-18F-fluoro-A-85380 brain PET studies.

Zanotti-Fregonara P, Maroy R, Peyronneau MA, Trebossen R, Bottlaender M.

Eur J Nucl Med Mol Imaging. 2012 Apr;39(4):651-9. doi: 10.1007/s00259-011-2004-9. Epub 2012 Jan 10.

PMID:
22231015
13.

Estimation of arterial input by a noninvasive image derived method in brain H215O PET study: confirmation of arterial location using MR angiography.

Islam MM, Tsujikawa T, Mori T, Kiyono Y, Okazawa H.

Phys Med Biol. 2017 May 8;62(11):4514-4524. doi: 10.1088/1361-6560/aa6a95. [Epub ahead of print]

PMID:
28480872
14.

Combining MRI with PET for partial volume correction improves image-derived input functions in mice.

Evans E, Buonincontri G, Izquierdo D, Methner C, Hawkes RC, Ansorge RE, Krieg T, Carpenter TA, Sawiak SJ.

IEEE Trans Nucl Sci. 2015 Jun 1;62(3 Pt 1):628-633.

15.

Kinetic quantitation of cerebral PET-FDG studies without concurrent blood sampling: statistical recovery of the arterial input function.

O'Sullivan F, Kirrane J, Muzi M, O'Sullivan JN, Spence AM, Mankoff DA, Krohn KA.

IEEE Trans Med Imaging. 2010 Mar;29(3):610-24. doi: 10.1109/TMI.2009.2029096. Epub 2009 Aug 25.

16.

Image-derived input function derived from a supervised clustering algorithm: methodology and validation in a clinical protocol using [11C](R)-rolipram.

Lyoo CH, Zanotti-Fregonara P, Zoghbi SS, Liow JS, Xu R, Pike VW, Zarate CA Jr, Fujita M, Innis RB.

PLoS One. 2014 Feb 20;9(2):e89101. doi: 10.1371/journal.pone.0089101. eCollection 2014.

17.

Cerebral blood flow and glucose metabolism in healthy volunteers measured using a high-resolution PET scanner.

Huisman MC, van Golen LW, Hoetjes NJ, Greuter HN, Schober P, Ijzerman RG, Diamant M, Lammertsma AA.

EJNMMI Res. 2012 Nov 20;2(1):63. doi: 10.1186/2191-219X-2-63.

18.

Noninvasive quantification of cerebral metabolic rate for glucose in rats using (18)F-FDG PET and standard input function.

Hori Y, Ihara N, Teramoto N, Kunimi M, Honda M, Kato K, Hanakawa T.

J Cereb Blood Flow Metab. 2015 Oct;35(10):1664-70. doi: 10.1038/jcbfm.2015.104. Epub 2015 May 13.

19.

Comparison of eight methods for the estimation of the image-derived input function in dynamic [(18)F]-FDG PET human brain studies.

Zanotti-Fregonara P, Fadaili el M, Maroy R, Comtat C, Souloumiac A, Jan S, Ribeiro MJ, Gaura V, Bar-Hen A, Trébossen R.

J Cereb Blood Flow Metab. 2009 Nov;29(11):1825-35. doi: 10.1038/jcbfm.2009.93. Epub 2009 Jul 8.

PMID:
19584890
20.

Repeatable noninvasive measurement of mouse myocardial glucose uptake with 18F-FDG: evaluation of tracer kinetics in a type 1 diabetes model.

Thorn SL, deKemp RA, Dumouchel T, Klein R, Renaud JM, Wells RG, Gollob MH, Beanlands RS, DaSilva JN.

J Nucl Med. 2013 Sep;54(9):1637-44. doi: 10.2967/jnumed.112.110114. Epub 2013 Aug 12.

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