Loop Modeling Forward and Feedback Analysis in Cerebral Arteriovenous Malformation

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.

Authors and Affiliations

Y. Kiran Kumar, Shashi Mehta, Manjunath Ramachandra

Keywords

Related Articles

A Distributed Method to Localization for Mobile Sensor Networks based on the convex hull

There has been recently a trend of exploiting the heterogeneity in WSNs and the mobility of either the sensor nodes or the sink nodes to facilitate data dissemination in WSNs. Recently, there has been much focus on mobil...

IoT Technological Development: Prospect and Implication for Cyberstability

Failure to address the risk poses by future technological development could cause devastating damage to public trust in the technologies. Therefore, ascendant technologies such as artificial intelligence are the key comp...

 Modeling of neural image compression using GA and BP a comparative approach

  It is well known that the classic image compression techniques such as JPEG and MPEG have serious limitations at high compression rate; the decompressed image gets really fuzzy or indistinguishable. To overco...

Monitoring Vaccine Cold Chain Model with Coloured Petri Net

To protect and prevent vaccines from excessively high or low temperatures throughout the supply chain, from manufacturing to administration, it is necessary to monitor and evaluate vaccine cold chain performance in real...

Download PDF file
  • EP ID EP157469
  • DOI 10.14569/IJACSA.2013.041213
  • Views 81
  • Downloads 0

How To Cite

Y. Kiran Kumar, Shashi Mehta, Manjunath Ramachandra (2013). Loop Modeling Forward and Feedback Analysis in Cerebral Arteriovenous Malformation. International Journal of Advanced Computer Science & Applications, 4(12), 86-89. https://europub.co.uk./articles/-A-157469