Cargando…

Magnetic resonance velocity imaging derived pressure differential using control volume analysis

BACKGROUND: Diagnosis and treatment of hydrocephalus is hindered by a lack of systemic understanding of the interrelationships between pressures and flow of cerebrospinal fluid in the brain. Control volume analysis provides a fluid physics approach to quantify and relate pressure and flow informatio...

Descripción completa

Detalles Bibliográficos
Autores principales: Cohen, Benjamin, Voorhees, Abram, Wei, Timothy
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3077315/
https://www.ncbi.nlm.nih.gov/pubmed/21414222
http://dx.doi.org/10.1186/2045-8118-8-16
_version_ 1782201862194200576
author Cohen, Benjamin
Voorhees, Abram
Wei, Timothy
author_facet Cohen, Benjamin
Voorhees, Abram
Wei, Timothy
author_sort Cohen, Benjamin
collection PubMed
description BACKGROUND: Diagnosis and treatment of hydrocephalus is hindered by a lack of systemic understanding of the interrelationships between pressures and flow of cerebrospinal fluid in the brain. Control volume analysis provides a fluid physics approach to quantify and relate pressure and flow information. The objective of this study was to use control volume analysis and magnetic resonance velocity imaging to non-invasively estimate pressure differentials in vitro. METHOD: A flow phantom was constructed and water was the experimental fluid. The phantom was connected to a high-resolution differential pressure sensor and a computer controlled pump producing sinusoidal flow. Magnetic resonance velocity measurements were taken and subsequently analyzed to derive pressure differential waveforms using momentum conservation principles. Independent sensor measurements were obtained for comparison. RESULTS: Using magnetic resonance data the momentum balance in the phantom was computed. The measured differential pressure force had amplitude of 14.4 dynes (pressure gradient amplitude 0.30 Pa/cm). A 12.5% normalized root mean square deviation between derived and directly measured pressure differential was obtained. These experiments demonstrate one example of the potential utility of control volume analysis and the concepts involved in its application. CONCLUSIONS: This study validates a non-invasive measurement technique for relating velocity measurements to pressure differential. These methods may be applied to clinical measurements to estimate pressure differentials in vivo which could not be obtained with current clinical sensors.
format Text
id pubmed-3077315
institution National Center for Biotechnology Information
language English
publishDate 2011
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-30773152011-04-15 Magnetic resonance velocity imaging derived pressure differential using control volume analysis Cohen, Benjamin Voorhees, Abram Wei, Timothy Fluids Barriers CNS Research BACKGROUND: Diagnosis and treatment of hydrocephalus is hindered by a lack of systemic understanding of the interrelationships between pressures and flow of cerebrospinal fluid in the brain. Control volume analysis provides a fluid physics approach to quantify and relate pressure and flow information. The objective of this study was to use control volume analysis and magnetic resonance velocity imaging to non-invasively estimate pressure differentials in vitro. METHOD: A flow phantom was constructed and water was the experimental fluid. The phantom was connected to a high-resolution differential pressure sensor and a computer controlled pump producing sinusoidal flow. Magnetic resonance velocity measurements were taken and subsequently analyzed to derive pressure differential waveforms using momentum conservation principles. Independent sensor measurements were obtained for comparison. RESULTS: Using magnetic resonance data the momentum balance in the phantom was computed. The measured differential pressure force had amplitude of 14.4 dynes (pressure gradient amplitude 0.30 Pa/cm). A 12.5% normalized root mean square deviation between derived and directly measured pressure differential was obtained. These experiments demonstrate one example of the potential utility of control volume analysis and the concepts involved in its application. CONCLUSIONS: This study validates a non-invasive measurement technique for relating velocity measurements to pressure differential. These methods may be applied to clinical measurements to estimate pressure differentials in vivo which could not be obtained with current clinical sensors. BioMed Central 2011-03-17 /pmc/articles/PMC3077315/ /pubmed/21414222 http://dx.doi.org/10.1186/2045-8118-8-16 Text en Copyright ©2011 Cohen et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Cohen, Benjamin
Voorhees, Abram
Wei, Timothy
Magnetic resonance velocity imaging derived pressure differential using control volume analysis
title Magnetic resonance velocity imaging derived pressure differential using control volume analysis
title_full Magnetic resonance velocity imaging derived pressure differential using control volume analysis
title_fullStr Magnetic resonance velocity imaging derived pressure differential using control volume analysis
title_full_unstemmed Magnetic resonance velocity imaging derived pressure differential using control volume analysis
title_short Magnetic resonance velocity imaging derived pressure differential using control volume analysis
title_sort magnetic resonance velocity imaging derived pressure differential using control volume analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3077315/
https://www.ncbi.nlm.nih.gov/pubmed/21414222
http://dx.doi.org/10.1186/2045-8118-8-16
work_keys_str_mv AT cohenbenjamin magneticresonancevelocityimagingderivedpressuredifferentialusingcontrolvolumeanalysis
AT voorheesabram magneticresonancevelocityimagingderivedpressuredifferentialusingcontrolvolumeanalysis
AT weitimothy magneticresonancevelocityimagingderivedpressuredifferentialusingcontrolvolumeanalysis