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The assessment of microvascular flow and tissue perfusion using ultrasound imaging.

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Title: The assessment of microvascular flow and tissue perfusion using ultrasound imaging.
Authors: Sboros V (AUTHOR), Tang MX (AUTHOR), Sboros, V1 (AUTHOR), Tang, M-X (AUTHOR)
Source: Proceedings of the Institution of Mechanical Engineers -- Part H -- Journal of Engineering in Medicine (Professional Engineering Publishing). 2010, Vol. 224 Issue 2, p273-290. 18p.
Abstract: Imaging microvascular flow is of diagnostic value for a wide range of diseases including cancer, inflammation, and cardiovascular disease. The introduction of microbubbles as ultrasound contrast agents offers significant signal enhancement to the otherwise weakly scattered signal from blood in the circulation. Microbubbles provide maximum impedance mismatch, but are not linear scatterers. Their complex response to ultrasound has generated research on both their behaviour and their scattered-signal processing. Nearly 20 years ago signal processing started with simple spectral filtering of harmonics showing contrast-enhanced images. More recent pulse encoding techniques have achieved good cancellation of tissue echoes. The good quality contrast-only images enabled ultrasound contrast-imaging applications to be established in microvascular measurements in the liver and the myocardium. The field promises to advance the quantification of microvascular flow kinetics. [ABSTRACT FROM AUTHOR]
Copyright of Proceedings of the Institution of Mechanical Engineers -- Part H -- Journal of Engineering in Medicine (Professional Engineering Publishing) is the property of Professional Engineering Publishing and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: The assessment of microvascular flow and tissue perfusion using ultrasound imaging.
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  Data: <searchLink fieldCode="AR" term="%22Sboros+V%22">Sboros V</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tang+MX%22">Tang MX</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sboros%2C+V%22">Sboros, V</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tang%2C+M-X%22">Tang, M-X</searchLink> (AUTHOR)
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– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Imaging microvascular flow is of diagnostic value for a wide range of diseases including cancer, inflammation, and cardiovascular disease. The introduction of microbubbles as ultrasound contrast agents offers significant signal enhancement to the otherwise weakly scattered signal from blood in the circulation. Microbubbles provide maximum impedance mismatch, but are not linear scatterers. Their complex response to ultrasound has generated research on both their behaviour and their scattered-signal processing. Nearly 20 years ago signal processing started with simple spectral filtering of harmonics showing contrast-enhanced images. More recent pulse encoding techniques have achieved good cancellation of tissue echoes. The good quality contrast-only images enabled ultrasound contrast-imaging applications to be established in microvascular measurements in the liver and the myocardium. The field promises to advance the quantification of microvascular flow kinetics. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Proceedings of the Institution of Mechanical Engineers -- Part H -- Journal of Engineering in Medicine (Professional Engineering Publishing) is the property of Professional Engineering Publishing and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Text: English
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            NameFull: Tang MX
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              Text: 2010
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