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.
Similar content being viewed by others
References
Stroke Center, 2010 http://www.strokecenter.org/patients/about.htm
Zhou, Y., Ye, W., Brasic, J. R., and Wong, D. F., Multi-graphical analysis of dynamic PET. Neuroimage 49:2947–2957, 2010.
Gjedde, A., High- and low-affinity transport of D-Glucose from blood to brain. J. Neurochem. 36:1463–1471, 1981.
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.
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.
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.
Finn Arup Nielsen, Technical University of Denmark, http://www2.imm.dtu.dk/~fn/ps/Nielsen2004Tools_slide.pdf, 2004.
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.
Fillard, P., Gerig, G., Analysis tool for diffusion tensor MRI, Lecture Notes in Computer Science, 967–968, Vol. 2879/2003.
Taheri, S., and Sood, R., Kalman filtering for reliable estimation of BBB permeability. Magn. Reson. Imaging 24:1039–1049, 2006.
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.
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.
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.
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.
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.
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.
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.
Acknowledgments
The author would like to thank Dr. Rohid Sood and Dr. Unal Sakoglu for their contributions and cooperation.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Çetin, Ö. An Analysis Tool to Calculate Permeability Based on the Patlak Method. J Med Syst 36, 1317–1326 (2012). https://doi.org/10.1007/s10916-010-9592-y
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10916-010-9592-y