Kornblum HI, Araujo DM, Annala AJ, Tatsukawa KJ, Phelps ME, Cherry SR. In vivo imaging of neuronal activation and plasticity in the rat brain by high resolution positron emission tomography (microPET). Nat Biotechnol 2000;18:655–660
PubMed
Article
CAS
Google Scholar
Acton PD, Choi SR, Plossl K, Kung HF. Quantification of dopamine transporters in the mouse brain using ultra-high resolution single-photon emission tomography. Eur J Nucl Med Mol Imaging 2002;29:691–698
PubMed
Article
CAS
Google Scholar
Ouchi Y, Fukuyama H, Ogawa M, Yamauchi H, Kimura J, Magata Y, et al. Cholinergic projection from the basal forebrain and cerebral glucose metabolism in rats: a dynamic PET study. J Cereb Blood Flow Metab 1996;16:34–41
PubMed
Article
CAS
Google Scholar
Katsumi Y, Hayashi T, Oyanagi C, Nagahama Y, Yamauchi H, Ono S, et al. Glucose metabolism in the rat frontal cortex recovered without the recovery of choline acetyltransferase activity after lesioning of the nucleus basalis magnocellularis. Neurosci Lett 2000;280:9–12
PubMed
Article
CAS
Google Scholar
Moore AH, Osteen CL, Chatziioannou AF, Hovda DA, Cherry SR. Quantitative assessment of longitudinal metabolic changes in vivo after traumatic brain injury in the adult rat using FDG-microPET. J Cereb Blood Flow Metab 2000;20:1492–1501
PubMed
Article
CAS
Google Scholar
Shimoji K, Ravasi L, Schmidt K, Soto-Montenegro ML, Esaki T, Seidel J, et al. Measurement of cerebral glucose metabolic rates in the anesthetized rat by dynamic scanning with 18F-FDG, the ATLAS small animal PET scanner, and arterial blood sampling. J Nucl Med 2004;45:665–672
PubMed
CAS
Google Scholar
Toyama H, Ichise M, Liow JS, Modell KJ, Vines DC, Esaki T, et al. Absolute quantification of regional cerebral glucose utilization in mice by 18F-FDG small animal PET scanning and 2-14C-DG autoradiography. J Nucl Med 2004;45:1398–1405
PubMed
CAS
Google Scholar
Green LA, Gambhir SS, Srinivasan A, Banerjee PK, Hoh CK, Cherry SR, et al. Noninvasive methods for quantitating blood time-activity curves from mouse PET images obtained with fluorine-18-fluorodeoxyglucose. J Nucl Med 1998;39:729–734
PubMed
CAS
Google Scholar
Huang SC, Wu HM, Shoghi-Jadid K, Stout DB, Chatziioannou A, Schelbert HR, et al. Investigation of a new input function validation approach for dynamic mouse microPET studies. Mol Imaging Biol 2004;6:34–46
PubMed
Article
Google Scholar
Yee SH, Jerabek PA, Fox PT. Non-invasive quantification of cerebral blood flow for rats by microPET imaging of 15O labelled water: the application of a cardiac time-activity curve for the tracer arterial input function. Nucl Med Commun 2005;26:903–911
PubMed
Article
Google Scholar
Sokoloff L, Reivich M, Kennedy C, Des Rosiers MH, Patlak CS, Pettigrew KD, 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. J Neurochem 1977;28:897–916
PubMed
Article
CAS
Google Scholar
Pain F, Laniece P, Mastrippolito R, Gervais P, Hantraye P, Besret L. Arterial input function measurement without blood sampling using a beta-microprobe in rats. J Nucl Med 2004;45:1577–1582
PubMed
Google Scholar
Weber B, Burger C, Biro P, Buck A. A femoral arteriovenous shunt facilitates arterial whole blood sampling in animals. Eur J Nucl Med Mol Imaging 2002;29:319–323
PubMed
Article
CAS
Google Scholar
Takikawa S, Dhawan V, Spetsieris P, Robeson W, Chaly T, Dahl R, et al. Noninvasive quantitative fluorodeoxyglucose PET studies with an estimated input function derived from a population-based arterial blood curve. Radiology 1993;188:131–136
PubMed
CAS
Google Scholar
Eberl S, Anayat AR, Fulton RR, Hooper PK, Fulham MJ. Evaluation of two population-based input functions for quantitative neurological FDG PET studies. Eur J Nucl Med 1997;24:299–304
PubMed
CAS
Google Scholar
Shiozaki T, Sadato N, Senda M, Ishii K, Tsuchida T, Yonekura Y, et al. Noninvasive estimation of FDG input function for quantification of cerebral metabolic rate of glucose: optimization and multicenter evaluation. J Nucl Med 2000;41:1612–1618
PubMed
CAS
Google Scholar
Takagi S, Takahashi W, Shinohara Y, Yasuda S, Ide M, Shohtsu A, et al. Quantitative PET cerebral glucose metabolism estimates using a single non-arterialized venous-blood sample. Ann Nucl Med 2004;18:297–302
PubMed
CAS
Article
Google Scholar
Brock CS, Young H, Osman S, Luthra SK, Jones T, Price PM. Glucose metabolism in brain tumours can be estimated using [18F]2-fluorodeoxyglucose positron emission tomography and a population-derived input function scaled using a single arterialised venous blood sample. Int J Oncol 2005;26:1377–1383
PubMed
CAS
Google Scholar
Surti S, Karp JS, Perkins AE, Cardi CA, Daube-Witherspoon ME, Kuhn A, et al. Imaging performance of A-PET: a small animal PET camera. IEEE Trans Med Imaging 2005;24:844–852
PubMed
Article
Google Scholar
Daube-Witherspoon ME, Matej S, Karp JS, Lewitt RM. Application of the row action maximum likelihood algorithm with spherical basis functions to clinical PET imaging. IEEE Trans Nucl Sci 2001;48:24–30
Article
Google Scholar
Rhodes CG, Wise RJ, Gibbs JM, Frackowiak RS, Hatazawa J, Palmer AJ, et al. In vivo disturbance of the oxidative metabolism of glucose in human cerebral gliomas. Ann Neurol 1983;14:614–626
PubMed
Article
CAS
Google Scholar
Burger C, Buck A. Requirements and implementation of a flexible kinetic modeling tool. J Nucl Med 1997;38:1818–1823
PubMed
CAS
Google Scholar
Logan J, Fowler JS, Volkow ND, Wolf AP, Dewey SL, Schlyer DJ, et al. Graphical analysis of reversible radioligand binding from time-activity measurements applied to [N-11C-methyl]-(-)-cocaine PET studies in human subjects. J Cereb Blood Flow Metab 1990;10:740–747
PubMed
CAS
Google Scholar
Patlak CS, Blasberg RG, Fenstermacher JD. Graphical evaluation of blood-to-brain transfer constants from multiple-time uptake data. J Cereb Blood Flow Metab 1983;3:1–7
PubMed
CAS
Google Scholar
Lehnhardt FJ. A new system for catheterization of the V. cava of rats for long-term infusions (Implantofix). Z Versuchstierkd 1989;32:171–178
PubMed
CAS
Google Scholar