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Experimental quantification of the fluid dynamics in blood-processing devices through 4D-flow imaging: A pilot study on a real oxygenator/heat-exchanger module

The performance of blood-processing devices largely depends on the associated fluid dynamics, which hence represents a key aspect in their design and optimization. To this aim, two approaches are currently adopted: computational fluid-dynamics, which yields highly resolved three-dimensional data but... Full description

Journal Title: Journal of Biomechanics 08 February 2018, Vol.68, pp.14-23
Main Author: Piatti, Filippo
Other Authors: Palumbo, Maria Chiara , Consolo, Filippo , Pluchinotta, Francesca , Greiser, Andreas , Sturla, Francesco , Votta, Emiliano , Siryk, Sergii V , Vismara, Riccardo , Fiore, Gianfranco Beniamino , Lombardi, Massimo , Redaelli, Alberto
Format: Electronic Article Electronic Article
Language: English
Subjects:
ID: ISSN: 0021-9290 ; E-ISSN: 1873-2380 ; DOI: 10.1016/j.jbiomech.2017.12.014
Link: http://dx.doi.org/10.1016/j.jbiomech.2017.12.014
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recordid: elsevier_sdoi_10_1016_j_jbiomech_2017_12_014
title: Experimental quantification of the fluid dynamics in blood-processing devices through 4D-flow imaging: A pilot study on a real oxygenator/heat-exchanger module
format: Article
creator:
  • Piatti, Filippo
  • Palumbo, Maria Chiara
  • Consolo, Filippo
  • Pluchinotta, Francesca
  • Greiser, Andreas
  • Sturla, Francesco
  • Votta, Emiliano
  • Siryk, Sergii V
  • Vismara, Riccardo
  • Fiore, Gianfranco Beniamino
  • Lombardi, Massimo
  • Redaelli, Alberto
subjects:
  • Fluid Dynamics
  • Phase Contrast Magnetic Resonance Imaging
  • Extra-Corporeal Circulation
  • Blood-Processing Device
  • Design Optimization
  • Fluid Dynamics
  • Phase Contrast Magnetic Resonance Imaging
  • Extra-Corporeal Circulation
  • Blood-Processing Device
  • Design Optimization
  • Medicine
  • Engineering
  • Anatomy & Physiology
ispartof: Journal of Biomechanics, 08 February 2018, Vol.68, pp.14-23
description: The performance of blood-processing devices largely depends on the associated fluid dynamics, which hence represents a key aspect in their design and optimization. To this aim, two approaches are currently adopted: computational fluid-dynamics, which yields highly resolved three-dimensional data but relies on simplifying assumptions, and in vitro experiments, which typically involve the direct video-acquisition of the flow field and provide 2D data only. We propose a novel method that exploits space- and time-resolved magnetic resonance imaging (4D-flow) to quantify the complex 3D flow field in blood-processing devices and to overcome these limitations. We tested our method on a real device that integrates an oxygenator and a heat exchanger. A dedicated mock loop was implemented, and novel 4D-flow sequences with sub-millimetric spatial resolution and region-dependent velocity encodings were defined. Automated in house software was developed to quantify the complex...
language: eng
source:
identifier: ISSN: 0021-9290 ; E-ISSN: 1873-2380 ; DOI: 10.1016/j.jbiomech.2017.12.014
fulltext: no_fulltext
issn:
  • 0021-9290
  • 00219290
  • 1873-2380
  • 18732380
url: Link


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titleExperimental quantification of the fluid dynamics in blood-processing devices through 4D-flow imaging: A pilot study on a real oxygenator/heat-exchanger module
creatorPiatti, Filippo ; Palumbo, Maria Chiara ; Consolo, Filippo ; Pluchinotta, Francesca ; Greiser, Andreas ; Sturla, Francesco ; Votta, Emiliano ; Siryk, Sergii V ; Vismara, Riccardo ; Fiore, Gianfranco Beniamino ; Lombardi, Massimo ; Redaelli, Alberto
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subjectFluid Dynamics ; Phase Contrast Magnetic Resonance Imaging ; Extra-Corporeal Circulation ; Blood-Processing Device ; Design Optimization ; Fluid Dynamics ; Phase Contrast Magnetic Resonance Imaging ; Extra-Corporeal Circulation ; Blood-Processing Device ; Design Optimization ; Medicine ; Engineering ; Anatomy & Physiology
descriptionThe performance of blood-processing devices largely depends on the associated fluid dynamics, which hence represents a key aspect in their design and optimization. To this aim, two approaches are currently adopted: computational fluid-dynamics, which yields highly resolved three-dimensional data but relies on simplifying assumptions, and in vitro experiments, which typically involve the direct video-acquisition of the flow field and provide 2D data only. We propose a novel method that exploits space- and time-resolved magnetic resonance imaging (4D-flow) to quantify the complex 3D flow field in blood-processing devices and to overcome these limitations. We tested our method on a real device that integrates an oxygenator and a heat exchanger. A dedicated mock loop was implemented, and novel 4D-flow sequences with sub-millimetric spatial resolution and region-dependent velocity encodings were defined. Automated in house software was developed to quantify the complex...
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The performance of blood-processing devices largely depends on the associated fluid dynamics, which hence represents a key aspect in their design and optimization. To this aim, two approaches are currently adopted: computational fluid-dynamics, which yields highly resolved three-dimensional data but relies on simplifying assumptions, and in vitro experiments, which typically involve the direct video-acquisition of the flow field and provide 2D data only. We propose a novel method that exploits space- and time-resolved magnetic resonance imaging (4D-flow) to quantify the complex 3D flow field in blood-processing devices and to overcome these limitations.

We tested our method on a real device that integrates an oxygenator and a heat exchanger. A dedicated mock loop was implemented, and novel 4D-flow sequences with sub-millimetric spatial resolution and region-dependent velocity encodings were defined. Automated in house software was developed to quantify the complex...

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The performance of blood-processing devices largely depends on the associated fluid dynamics, which hence represents a key aspect in their design and optimization. To this aim, two approaches are currently adopted: computational fluid-dynamics, which yields highly resolved three-dimensional data but relies on simplifying assumptions, and in vitro experiments, which typically involve the direct video-acquisition of the flow field and provide 2D data only. We propose a novel method that exploits space- and time-resolved magnetic resonance imaging (4D-flow) to quantify the complex 3D flow field in blood-processing devices and to overcome these limitations.

We tested our method on a real device that integrates an oxygenator and a heat exchanger. A dedicated mock loop was implemented, and novel 4D-flow sequences with sub-millimetric spatial resolution and region-dependent velocity encodings were defined. Automated in house software was developed to quantify the complex...

pubElsevier Ltd
doi10.1016/j.jbiomech.2017.12.014
lad01Journal of Biomechanics
date2018-02-08