Log on/register
BioMed Central home | Journals A-Z | Feedback | Support | My details
 
Open AccessHighly AccessResearch

Development of a theoretical framework for analyzing cerebrospinal fluid dynamics

Benjamin Cohen1 email, Abram Voorhees2 email, Søren Vedel3 email and Timothy Wei1 email

Mechanical, Aerospace and Nuclear Engineering, Rensselaer Polytechnic Institute, 110 8th Street, Troy, NY 12180, USA

Siemens Healthcare, 51 Valley Stream Parkway, Malvern, PA 19355, USA

Department of Micro- and Nanotechnology, Technical University of Denmark, DTU Nanotech Building, 345 East, DK-2800 Kongens Lyngby, Denmark

author email corresponding author email

Cerebrospinal Fluid Research 2009, 6:12doi:10.1186/1743-8454-6-12

Published: 22 September 2009

Abstract

Background

To date hydrocephalus researchers acknowledge the need for rigorous but utilitarian fluid mechanics understanding and methodologies in studying normal and hydrocephalic intracranial dynamics. Pressure volume models and electric circuit analogs introduced pressure into volume conservation; but control volume analysis enforces independent conditions on pressure and volume. Previously, utilization of clinical measurements has been limited to understanding of the relative amplitude and timing of flow, volume and pressure waveforms; qualitative approaches without a clear framework for meaningful quantitative comparison.

Methods

Control volume analysis is presented to introduce the reader to the theoretical background of this foundational fluid mechanics technique for application to general control volumes. This approach is able to directly incorporate the diverse measurements obtained by clinicians to better elucidate intracranial dynamics and progression to disorder.

Results

Several examples of meaningful intracranial control volumes and the particular measurement sets needed for the analysis are discussed.

Conclusion

Control volume analysis provides a framework to guide the type and location of measurements and also a way to interpret the resulting data within a fundamental fluid physics analysis.


© 1999-2010 BioMed Central Ltd unless otherwise stated. Part of Springer Science+Business Media.