Microbubble acoustic signatures: bubble deflation

G.A. ten Brinke, Cornelis H. Slump

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

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Abstract

Ultrasound Contrast Agents (UCAs) are used in medical imaging to enhance the visibility of structures, especially blood vessels and the liver. An example application of UCAs is the detection and classification of tumors. The most common UCA consist of microbubbles, which have pronounced non-linear acoustical scattering properties. Research on the characteristics of these microbubbles is still in progress. The project described in this paper is focussed on the classification of the microbubbles. The acoustic response of a single microbubble depends on the environment and the location of the microbubble. Three classes can be defined: Microbubbles floating freely, microbubbles in the neighborhood of a (vessel) wall, and clusters of interfering microbubbles. Many different bubble models are available and the most appropriate one must be selected to be used in the classification algorithms. Classification of these microbubbles using the characteristics of the received ultrasound signal is necessary to gain knowledge about the location and environment of the microbubble, which in turn represents properties of the tissue. In this paper, the deflation rate or aging of a microbubble is discussed. Because of the limited number of bubbles in the data-set at this moment, we are unable to define a relation between bubble size and deflation rate.
Original languageUndefined
Title of host publication17th Annual Workshop on Circuits, ProRISK 2006
Place of PublicationUtrecht
PublisherSTW
Pages530-533
Number of pages4
ISBN (Print)978-90-73461-44-4
Publication statusPublished - 23 Nov 2006
Event17th Annual Workshop on Circuits, Systems and Signal Processing, ProRISC 2006 - Veldhoven, Netherlands
Duration: 23 Nov 200624 Nov 2006
Conference number: 17

Publication series

Name
NumberTechnical

Workshop

Workshop17th Annual Workshop on Circuits, Systems and Signal Processing, ProRISC 2006
Abbreviated titleProRISC 2006
CountryNetherlands
CityVeldhoven
Period23/11/0624/11/06

Keywords

  • IR-63886
  • METIS-237869
  • EWI-8922

Cite this

ten Brinke, G. A., & Slump, C. H. (2006). Microbubble acoustic signatures: bubble deflation. In 17th Annual Workshop on Circuits, ProRISK 2006 (pp. 530-533). Utrecht: STW.
ten Brinke, G.A. ; Slump, Cornelis H. / Microbubble acoustic signatures: bubble deflation. 17th Annual Workshop on Circuits, ProRISK 2006. Utrecht : STW, 2006. pp. 530-533
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ten Brinke, GA & Slump, CH 2006, Microbubble acoustic signatures: bubble deflation. in 17th Annual Workshop on Circuits, ProRISK 2006. STW, Utrecht, pp. 530-533, 17th Annual Workshop on Circuits, Systems and Signal Processing, ProRISC 2006, Veldhoven, Netherlands, 23/11/06.

Microbubble acoustic signatures: bubble deflation. / ten Brinke, G.A.; Slump, Cornelis H.

17th Annual Workshop on Circuits, ProRISK 2006. Utrecht : STW, 2006. p. 530-533.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

TY - GEN

T1 - Microbubble acoustic signatures: bubble deflation

AU - ten Brinke, G.A.

AU - Slump, Cornelis H.

PY - 2006/11/23

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N2 - Ultrasound Contrast Agents (UCAs) are used in medical imaging to enhance the visibility of structures, especially blood vessels and the liver. An example application of UCAs is the detection and classification of tumors. The most common UCA consist of microbubbles, which have pronounced non-linear acoustical scattering properties. Research on the characteristics of these microbubbles is still in progress. The project described in this paper is focussed on the classification of the microbubbles. The acoustic response of a single microbubble depends on the environment and the location of the microbubble. Three classes can be defined: Microbubbles floating freely, microbubbles in the neighborhood of a (vessel) wall, and clusters of interfering microbubbles. Many different bubble models are available and the most appropriate one must be selected to be used in the classification algorithms. Classification of these microbubbles using the characteristics of the received ultrasound signal is necessary to gain knowledge about the location and environment of the microbubble, which in turn represents properties of the tissue. In this paper, the deflation rate or aging of a microbubble is discussed. Because of the limited number of bubbles in the data-set at this moment, we are unable to define a relation between bubble size and deflation rate.

AB - Ultrasound Contrast Agents (UCAs) are used in medical imaging to enhance the visibility of structures, especially blood vessels and the liver. An example application of UCAs is the detection and classification of tumors. The most common UCA consist of microbubbles, which have pronounced non-linear acoustical scattering properties. Research on the characteristics of these microbubbles is still in progress. The project described in this paper is focussed on the classification of the microbubbles. The acoustic response of a single microbubble depends on the environment and the location of the microbubble. Three classes can be defined: Microbubbles floating freely, microbubbles in the neighborhood of a (vessel) wall, and clusters of interfering microbubbles. Many different bubble models are available and the most appropriate one must be selected to be used in the classification algorithms. Classification of these microbubbles using the characteristics of the received ultrasound signal is necessary to gain knowledge about the location and environment of the microbubble, which in turn represents properties of the tissue. In this paper, the deflation rate or aging of a microbubble is discussed. Because of the limited number of bubbles in the data-set at this moment, we are unable to define a relation between bubble size and deflation rate.

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ten Brinke GA, Slump CH. Microbubble acoustic signatures: bubble deflation. In 17th Annual Workshop on Circuits, ProRISK 2006. Utrecht: STW. 2006. p. 530-533