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Erschienen in: Journal of Medical Systems 3/2012

01.06.2012 | ORIGINAL PAPER

An Analysis Tool to Calculate Permeability Based on the Patlak Method

verfasst von: Özdemir Çetin

Erschienen in: Journal of Medical Systems | Ausgabe 3/2012

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Abstract

Strokes are commonly diagnosed by utilizing images obtained from magnetic resonance imaging (MRI) technology. Nowadays, computer software can play a large role in analyzing these images and arriving at diagnoses quickly and accurately. Additionally, this software can reduce workload for medical personnel and lower misdiagnoses. In this paper a flexible permeability calculation tool called PCT based on the Patlak plot method is presented. Using the PCT we can calculate the permeability co-efficient of the Blood-Brain Barrier (BBB) function. The PCT tool offers both manual and automatic options for diagnosing the regions of the brain affected by stroke. Moreover, the PCT tool supports various extensions such as dicom, nifty and analyze.
Literatur
2.
Zurück zum Zitat Zhou, Y., Ye, W., Brasic, J. R., and Wong, D. F., Multi-graphical analysis of dynamic PET. Neuroimage 49:2947–2957, 2010.CrossRef Zhou, Y., Ye, W., Brasic, J. R., and Wong, D. F., Multi-graphical analysis of dynamic PET. Neuroimage 49:2947–2957, 2010.CrossRef
3.
Zurück zum Zitat Gjedde, A., High- and low-affinity transport of D-Glucose from blood to brain. J. Neurochem. 36:1463–1471, 1981.CrossRef Gjedde, A., High- and low-affinity transport of D-Glucose from blood to brain. J. Neurochem. 36:1463–1471, 1981.CrossRef
4.
Zurück zum Zitat Patlak, C. S., and Blasberg, R. G., Graphical evaluation of blood-to-brain transfer constants from multiple-time uptake data. Generalizations. J. Cereb. Blood Flow Metab. 5:584–590, 1985.CrossRef Patlak, C. S., and Blasberg, R. G., Graphical evaluation of blood-to-brain transfer constants from multiple-time uptake data. Generalizations. J. Cereb. Blood Flow Metab. 5:584–590, 1985.CrossRef
5.
Zurück zum Zitat Patlak, C. S., Blasberg, R. G., and Fenstermacher, J. D., Graphical evaluation of blood-to-brain transfer constants from multiple-time uptake data. J. Cereb. Blood Flow Metab. 3(1):1–7, 1983.CrossRef Patlak, C. S., Blasberg, R. G., and Fenstermacher, J. D., Graphical evaluation of blood-to-brain transfer constants from multiple-time uptake data. J. Cereb. Blood Flow Metab. 3(1):1–7, 1983.CrossRef
6.
Zurück zum Zitat Wong, D. F., Gjedde, A., and Wagner, H. N., Jr., Quantification of neuroreceptors in the living human brain. I. Irreversible binding of ligands. J. Cereb. Blood Flow Metab. 6:137–146, 1986.CrossRef Wong, D. F., Gjedde, A., and Wagner, H. N., Jr., Quantification of neuroreceptors in the living human brain. I. Irreversible binding of ligands. J. Cereb. Blood Flow Metab. 6:137–146, 1986.CrossRef
8.
Zurück zum Zitat Gold, S., Christian, B., Arndt, S., Zeien, G., Cizadlo, T., Johnson, D. L., Flaum, M., and Andreasen, N. C., Functional MRI statistical software packages: a comparative analysis. Hum. Brain Mapp. 6:73–84, 1998.CrossRef Gold, S., Christian, B., Arndt, S., Zeien, G., Cizadlo, T., Johnson, D. L., Flaum, M., and Andreasen, N. C., Functional MRI statistical software packages: a comparative analysis. Hum. Brain Mapp. 6:73–84, 1998.CrossRef
9.
Zurück zum Zitat Fillard, P., Gerig, G., Analysis tool for diffusion tensor MRI, Lecture Notes in Computer Science, 967–968, Vol. 2879/2003. Fillard, P., Gerig, G., Analysis tool for diffusion tensor MRI, Lecture Notes in Computer Science, 967–968, Vol. 2879/2003.
10.
Zurück zum Zitat Taheri, S., and Sood, R., Kalman filtering for reliable estimation of BBB permeability. Magn. Reson. Imaging 24:1039–1049, 2006.CrossRef Taheri, S., and Sood, R., Kalman filtering for reliable estimation of BBB permeability. Magn. Reson. Imaging 24:1039–1049, 2006.CrossRef
11.
Zurück zum Zitat Abo-Ramadan, U., Durukan, A., Pitkonen, M., Marinkovic, I., Tatlisumak, E., Pedrono, E., Soinne, L., Strbian, D., and Tatlisumak, T., Post-ischemic leakiness of the blood–brain barrier: a quantitative and systematic assessment by Patlak plots. Exp. Neurol. 219:328–333, 2009.CrossRef Abo-Ramadan, U., Durukan, A., Pitkonen, M., Marinkovic, I., Tatlisumak, E., Pedrono, E., Soinne, L., Strbian, D., and Tatlisumak, T., Post-ischemic leakiness of the blood–brain barrier: a quantitative and systematic assessment by Patlak plots. Exp. Neurol. 219:328–333, 2009.CrossRef
12.
Zurück zum Zitat Odaka, T., Takahama, T., Wagatsuma, H., Shimada, K., and Ogura, H., A visual data analysis system for the medical image processing. J. Med. Syst. 18(3):151–157, 1994.CrossRef Odaka, T., Takahama, T., Wagatsuma, H., Shimada, K., and Ogura, H., A visual data analysis system for the medical image processing. J. Med. Syst. 18(3):151–157, 1994.CrossRef
13.
Zurück zum Zitat Yoder, J. W., Schultz, D. E., and Williams, B. T., The MEDIGATE graphical user interface for entry of physical findings: design principles and implementation. J. Med. Syst. 22(5):325–337, 1998.CrossRef Yoder, J. W., Schultz, D. E., and Williams, B. T., The MEDIGATE graphical user interface for entry of physical findings: design principles and implementation. J. Med. Syst. 22(5):325–337, 1998.CrossRef
14.
Zurück zum Zitat Kopec, D., Kabir, M. H., Reinharth, D., Rothschild, O., and Castiglione, J. A., Human errors in medical practice: systematic classification and reduction with automated information systems. J. Med. Syst. 27(4):297–313, 2003.CrossRef Kopec, D., Kabir, M. H., Reinharth, D., Rothschild, O., and Castiglione, J. A., Human errors in medical practice: systematic classification and reduction with automated information systems. J. Med. Syst. 27(4):297–313, 2003.CrossRef
15.
Zurück zum Zitat Liu, W., Sood, R., Chen, Q., Sakoglu, U., Hendren, J., Çetin, Ö., and Liu, K. J., Normobaric hyperoxia inhibits NADPH oxidase-mediated matrix metalloproteinase-9 induction in cerebral microvessels in experimental stroke. J Neurochem 107(5):1196–1205, 2008.CrossRef Liu, W., Sood, R., Chen, Q., Sakoglu, U., Hendren, J., Çetin, Ö., and Liu, K. J., Normobaric hyperoxia inhibits NADPH oxidase-mediated matrix metalloproteinase-9 induction in cerebral microvessels in experimental stroke. J Neurochem 107(5):1196–1205, 2008.CrossRef
16.
Zurück zum Zitat Taheri, S., and Sood, R., Partial volume effect compensation for improved reliability of quantitative blood–brain barrier permeability. Magn. Reson. Imaging 25:613–625, 2007.CrossRef Taheri, S., and Sood, R., Partial volume effect compensation for improved reliability of quantitative blood–brain barrier permeability. Magn. Reson. Imaging 25:613–625, 2007.CrossRef
17.
Zurück zum Zitat Patlak, C. S., Blasberg, R. G., and Fenstermacher, J. D., Graphical evaluation of blood-to-brain transfer constants from multiple-time uptake data. J. Cereb. Blood Flow Metab. 3(1):1–7, 1983.CrossRef Patlak, C. S., Blasberg, R. G., and Fenstermacher, J. D., Graphical evaluation of blood-to-brain transfer constants from multiple-time uptake data. J. Cereb. Blood Flow Metab. 3(1):1–7, 1983.CrossRef
Metadaten
Titel
An Analysis Tool to Calculate Permeability Based on the Patlak Method
verfasst von
Özdemir Çetin
Publikationsdatum
01.06.2012
Verlag
Springer US
Erschienen in
Journal of Medical Systems / Ausgabe 3/2012
Print ISSN: 0148-5598
Elektronische ISSN: 1573-689X
DOI
https://doi.org/10.1007/s10916-010-9592-y

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