Parametric imaging in dynamic glucose metabolism studies in brain

• Autorzy: Rumiński J. , Karczewski B.
• Języki publikacji: EN

Abstrakty

EN

Parametric imaging is more and more popular in dynamic brain studies. It enables to quantitatively or semi-quantitatively estimate physiological state and processes in brain. This work analyse the dynamic 18FDG-PET studies for estimation of brain glucose metabolism. The influence of the signal noise is analysed to estimate its influence on the final glucose metabolism parameter values. The LCMRGlc parameter is under investigation. It is based on three compartmental model proposed by Phelps. Using different 18FDG-PET data series obtained from independent sources the Gaussian noise was introduced (with different variance). Then the quality of the model fitting results were estimated. The final results clearly indicates than the noise is highly compensated in microparameter used in calculation of LCMRGlc. Concluding, it is possible to estimate the LCMRGlc parameter value even in the presence of noise.

Słowa kluczowe

EN

PET; parametric imaging; dynamic imaging; image processing

PL

obrazowanie parametryczne; obrazowanie dynamiczne; przetwarzanie obrazów

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2005
• Tom: Vol. 9
• Strony: 201--208
• Opis fizyczny: Bibliogr. 7 poz., rys., tab.

Twórcy

autor

Rumiński J.

• Department of Biomedical Engineering, Gdansk University of Technology

autor

Karczewski B.

• Department of Biomedical Engineering, Gdansk University of Technology

Bibliografia

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• [2] OAKES T., http://brainimaging.waisman.wisc.edu/~oakes/spam/spam_fdg_top.htm 20.05.05.
• [3] PHELPS, M. E., HUANG, S.-C., HOFFMAN, E. J., Tomographic measurement of local cerebral glucose metabolic rate in human with (F-18) 2-fluoro-2-deoxy-D-glucose: Validation of method. Ann. Neural. 6, 1979, 371–388.
• [4] POSITRON MEDICAL CENTER, http://home.att.ne.jp/lemon/mikan/EPICA.html 25.05.05, Tokyo, Japan.
• [5] SCHUIER F., ORZI F., SUDA S., LUCIGNANI G., KENNEDY C., SOKOLOFF L., Influence of plasma glucose concantration on lumped constant of the deoxyclucose method: Effects of hyperglycemia in the rat, Journal of Cerebral Blood Flow Metabolism, vol. 10, pp.765-773, 1990.
• [6] WONG K.-P., FENG D., MEIKLE S.R.,AND FULHAM M.J., Non-invasive estimation of cerebral metabolic rate of glucose using simultaneous estimation and cluster analysis: A feasibility study. Pan-Sydney Visualisation 2, 2000, 109-111.
• [7]ZHOU Y., HUANG S.-C., BERGSNEIDER M., AND WONG D.F., Improved Parametric Image Generation Using Spatial-Temporal Analysis of Dynamic PET Studies. NeuroImage 15, 2002, 697-707.