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DOI: 10.14569/IJACSA.2013.041213
PDF

Loop Modeling Forward and Feedback Analysis in Cerebral Arteriovenous Malformation

Author 1: Y. Kiran Kumar
Author 2: Shashi.B.Mehta
Author 3: Manjunath Ramachandra

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 4 Issue 12, 2013.

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Abstract: Cerebral Arteriovenous Malformation (CAVM) hemodynamic in disease condition results changes in the flow and pressure level in blood vessels. Cerebral Arteriovenous Malformation (CAVM) is an abnormal shunting of vessels between arteries and veins. It is one of the common Brain disorder. In general, the blood flows of cerebral region are from arteries to veins through capillary bed. This paper is focus on the creation of a new electrical model for spiral loop structures that will simulate the pressure at various locations of the CAVM Complex blood vessels. The proposed model helps Doctors to take diagnostic and treatment planning for treatment by non-invasive measurement.. This can cause rupture or decreased blood supply to the tissue through capillary causing infarct. Measuring flow and pressure without intervention along the vessel is big challenge due to loop structures of feedback and forward flows in Arteriovenous Malformation patients. In this paper, we proposed a lumped model for the spiral loop in CAVM Structures that will help doctors to find the pressure and velocity measurements non-invasively.

Keywords: Vessel Loops; AVM; Lumped Model

Y. Kiran Kumar, Shashi.B.Mehta and Manjunath Ramachandra, “Loop Modeling Forward and Feedback Analysis in Cerebral Arteriovenous Malformation” International Journal of Advanced Computer Science and Applications(IJACSA), 4(12), 2013. http://dx.doi.org/10.14569/IJACSA.2013.041213

@article{Kumar2013,
title = {Loop Modeling Forward and Feedback Analysis in Cerebral Arteriovenous Malformation},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2013.041213},
url = {http://dx.doi.org/10.14569/IJACSA.2013.041213},
year = {2013},
publisher = {The Science and Information Organization},
volume = {4},
number = {12},
author = {Y. Kiran Kumar and Shashi.B.Mehta and Manjunath Ramachandra}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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