Multiscale flow patterns within an intracranial aneurysm phantom

Henk A. Marquering; Pim van Ooij; Geert J. Streekstra; Joppe J. Schneiders; Charles B. Majoie; Ed VanBavel; Aart J. Nederveen

doi:https://doi.org/10.1109/TBME.2011.2163070

Multiscale flow patterns within an intracranial aneurysm phantom

Henk A. Marquering, Pim van Ooij, Geert J. Streekstra, Joppe J. Schneiders, Charles B. Majoie, Ed VanBavel, Aart J. Nederveen

Research output: Contribution to journal › Article › Academic › peer-review

9 Citations (Scopus)

Abstract

Straightforward quantification of variations of flow patterns within aneurysms fails to accurately describe flow patterns of interest. We applied a multiscale decomposition of the flow in well-defined patterns to detect and quantify flow patterns in an aneurysm phantom that was studied with three different modalities: MRI, computational fluid dynamics, and particle image velocimetry. The method intuitively visualizes main patterns such as locally uniform flow, in- and outflow, and vortices. It is shown that this method is a valuable tool to quantitatively compare scale-dependent complex flow patterns in aneurysms

Original language	English
Pages (from-to)	3447-3450
Number of pages	4
Journal	IEEE transactions on bio-medical engineering
Volume	58
Issue number	12
DOIs	https://doi.org/10.1109/TBME.2011.2163070
Publication status	Published - 2011

Keywords

Blood Flow Velocity/physiology
Computer Simulation
Humans
Image Processing, Computer-Assisted
Intracranial Aneurysm/physiopathology
Magnetic Resonance Angiography
Models, Cardiovascular
Phantoms, Imaging
Rheology

Access to Document

https://doi.org/10.1109/TBME.2011.2163070

Cite this

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title = "Multiscale flow patterns within an intracranial aneurysm phantom",

abstract = "Straightforward quantification of variations of flow patterns within aneurysms fails to accurately describe flow patterns of interest. We applied a multiscale decomposition of the flow in well-defined patterns to detect and quantify flow patterns in an aneurysm phantom that was studied with three different modalities: MRI, computational fluid dynamics, and particle image velocimetry. The method intuitively visualizes main patterns such as locally uniform flow, in- and outflow, and vortices. It is shown that this method is a valuable tool to quantitatively compare scale-dependent complex flow patterns in aneurysms",

keywords = "Blood Flow Velocity/physiology, Computer Simulation, Humans, Image Processing, Computer-Assisted, Intracranial Aneurysm/physiopathology, Magnetic Resonance Angiography, Models, Cardiovascular, Phantoms, Imaging, Rheology",

author = "Marquering, {Henk A.} and {van Ooij}, Pim and Streekstra, {Geert J.} and Schneiders, {Joppe J.} and Majoie, {Charles B.} and Ed VanBavel and Nederveen, {Aart J.}",

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language = "English",

volume = "58",

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journal = "IEEE transactions on bio-medical engineering",

issn = "0018-9294",

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T1 - Multiscale flow patterns within an intracranial aneurysm phantom

AU - Marquering, Henk A.

AU - van Ooij, Pim

AU - Streekstra, Geert J.

AU - Schneiders, Joppe J.

AU - Majoie, Charles B.

AU - VanBavel, Ed

AU - Nederveen, Aart J.

PY - 2011

Y1 - 2011

N2 - Straightforward quantification of variations of flow patterns within aneurysms fails to accurately describe flow patterns of interest. We applied a multiscale decomposition of the flow in well-defined patterns to detect and quantify flow patterns in an aneurysm phantom that was studied with three different modalities: MRI, computational fluid dynamics, and particle image velocimetry. The method intuitively visualizes main patterns such as locally uniform flow, in- and outflow, and vortices. It is shown that this method is a valuable tool to quantitatively compare scale-dependent complex flow patterns in aneurysms

AB - Straightforward quantification of variations of flow patterns within aneurysms fails to accurately describe flow patterns of interest. We applied a multiscale decomposition of the flow in well-defined patterns to detect and quantify flow patterns in an aneurysm phantom that was studied with three different modalities: MRI, computational fluid dynamics, and particle image velocimetry. The method intuitively visualizes main patterns such as locally uniform flow, in- and outflow, and vortices. It is shown that this method is a valuable tool to quantitatively compare scale-dependent complex flow patterns in aneurysms

KW - Blood Flow Velocity/physiology

KW - Computer Simulation

KW - Humans

KW - Image Processing, Computer-Assisted

KW - Intracranial Aneurysm/physiopathology

KW - Magnetic Resonance Angiography

KW - Models, Cardiovascular

KW - Phantoms, Imaging

KW - Rheology

U2 - https://doi.org/10.1109/TBME.2011.2163070

DO - https://doi.org/10.1109/TBME.2011.2163070

M3 - Article

C2 - 21803678

SN - 0018-9294

VL - 58

SP - 3447

EP - 3450

JO - IEEE transactions on bio-medical engineering

JF - IEEE transactions on bio-medical engineering

IS - 12

ER -