QUANTITATIVE ANALYSIS OF ULTRASOUND CONTRAST FLOW BEHAVIOR IN CAROTID PLAQUE NEOVASCULATURE

Assaf Hoogi; Zeynettin Akkus; Stijn C. H. van den Oord; Gerrit L. ten Kate; Arend F. L. Schinkel; Johan G. Bosch; Nico de Jong; Dan Adam; Antonius F. W. van der Steen

doi:10.1016/j.ultrasmedbio.2012.08.002

QUANTITATIVE ANALYSIS OF ULTRASOUND CONTRAST FLOW BEHAVIOR IN CAROTID PLAQUE NEOVASCULATURE

Assaf Hoogi, Zeynettin Akkus, Stijn C. H. van den Oord, Gerrit L. ten Kate, Arend F. L. Schinkel, Johan G. Bosch, Nico de Jong, Dan Adam, Antonius F. W. van der Steen

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

28 Scopus citations

Abstract

Intraplaque neovascularization is considered as an important indication for plaque vulnerability. We
propose a semiautomatic algorithm for quantification of neovasculature, thus, enabling assessment of plaque
vulnerability. The algorithm detects and tracks contrast spots using multidimensional dynamic programming.
Classification of contrast tracks into blood vessels and artifacts was performed. The results were compared
with manual tracking, visual classification and maximal intensity projection. In 28 plaques, 97% of the contrast
spots were detected. In 89% of the objects, the automatic tracking determined the contrast motion with an average
distance of less than 0.5 mm from the manual marking. Furthermore, 75% were correctly classified into artifacts
and vessels. The automated neovascularization grading agreed within 1 grade with visual analysis in 91% of the
cases, which was comparable to the interobserver variability of visual grading. These results show that the method
can successfully quantify features that are linked to vulnerability of the carotid plaque. (E-mail: ahoogi@gmail.
com) 2012 World Federation for Ultrasound in Medicine & Biology.

Original language	English
Pages (from-to)	2072-2083
Number of pages	12
Journal	Ultrasound in Medicine and Biology
Volume	38
Issue number	12
DOIs	https://doi.org/10.1016/j.ultrasmedbio.2012.08.002
State	Published - Dec 2012
Externally published	Yes

Keywords

Carotid plaque
Neovascularization
Contrast ultrasound
Quantification
Dynamic programming

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10.1016/j.ultrasmedbio.2012.08.002

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@article{9f99229a0e6a4fe38366609d5f06558c,

title = "QUANTITATIVE ANALYSIS OF ULTRASOUND CONTRAST FLOW BEHAVIOR IN CAROTID PLAQUE NEOVASCULATURE",

abstract = "Intraplaque neovascularization is considered as an important indication for plaque vulnerability. Wepropose a semiautomatic algorithm for quantification of neovasculature, thus, enabling assessment of plaquevulnerability. The algorithm detects and tracks contrast spots using multidimensional dynamic programming.Classification of contrast tracks into blood vessels and artifacts was performed. The results were comparedwith manual tracking, visual classification and maximal intensity projection. In 28 plaques, 97% of the contrastspots were detected. In 89% of the objects, the automatic tracking determined the contrast motion with an averagedistance of less than 0.5 mm from the manual marking. Furthermore, 75% were correctly classified into artifactsand vessels. The automated neovascularization grading agreed within 1 grade with visual analysis in 91% of thecases, which was comparable to the interobserver variability of visual grading. These results show that the methodcan successfully quantify features that are linked to vulnerability of the carotid plaque. (E-mail: [email protected]) 2012 World Federation for Ultrasound in Medicine & Biology.",

keywords = "Carotid plaque, Neovascularization, Contrast ultrasound, Quantification, Dynamic programming",

author = "Assaf Hoogi and Zeynettin Akkus and {van den Oord}, {Stijn C. H.} and {ten Kate}, {Gerrit L.} and Schinkel, {Arend F. L.} and Bosch, {Johan G.} and {de Jong}, Nico and Dan Adam and {van der Steen}, {Antonius F. W.}",

note = "Funding Information: This research was supported by the Center for Translational Molecular Medicine and The Netherlands Heart Foundation (PARISk) .",

year = "2012",

month = dec,

doi = "10.1016/j.ultrasmedbio.2012.08.002",

language = "אנגלית",

volume = "38",

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journal = "Ultrasound in Medicine and Biology",

issn = "0301-5629",

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AU - Hoogi, Assaf

AU - Akkus, Zeynettin

AU - van den Oord, Stijn C. H.

AU - ten Kate, Gerrit L.

AU - Schinkel, Arend F. L.

AU - Bosch, Johan G.

AU - de Jong, Nico

AU - Adam, Dan

AU - van der Steen, Antonius F. W.

N1 - Funding Information: This research was supported by the Center for Translational Molecular Medicine and The Netherlands Heart Foundation (PARISk) .

PY - 2012/12

Y1 - 2012/12

N2 - Intraplaque neovascularization is considered as an important indication for plaque vulnerability. Wepropose a semiautomatic algorithm for quantification of neovasculature, thus, enabling assessment of plaquevulnerability. The algorithm detects and tracks contrast spots using multidimensional dynamic programming.Classification of contrast tracks into blood vessels and artifacts was performed. The results were comparedwith manual tracking, visual classification and maximal intensity projection. In 28 plaques, 97% of the contrastspots were detected. In 89% of the objects, the automatic tracking determined the contrast motion with an averagedistance of less than 0.5 mm from the manual marking. Furthermore, 75% were correctly classified into artifactsand vessels. The automated neovascularization grading agreed within 1 grade with visual analysis in 91% of thecases, which was comparable to the interobserver variability of visual grading. These results show that the methodcan successfully quantify features that are linked to vulnerability of the carotid plaque. (E-mail: [email protected]) 2012 World Federation for Ultrasound in Medicine & Biology.

AB - Intraplaque neovascularization is considered as an important indication for plaque vulnerability. Wepropose a semiautomatic algorithm for quantification of neovasculature, thus, enabling assessment of plaquevulnerability. The algorithm detects and tracks contrast spots using multidimensional dynamic programming.Classification of contrast tracks into blood vessels and artifacts was performed. The results were comparedwith manual tracking, visual classification and maximal intensity projection. In 28 plaques, 97% of the contrastspots were detected. In 89% of the objects, the automatic tracking determined the contrast motion with an averagedistance of less than 0.5 mm from the manual marking. Furthermore, 75% were correctly classified into artifactsand vessels. The automated neovascularization grading agreed within 1 grade with visual analysis in 91% of thecases, which was comparable to the interobserver variability of visual grading. These results show that the methodcan successfully quantify features that are linked to vulnerability of the carotid plaque. (E-mail: [email protected]) 2012 World Federation for Ultrasound in Medicine & Biology.

KW - Carotid plaque

KW - Neovascularization

KW - Contrast ultrasound

KW - Quantification

KW - Dynamic programming

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QUANTITATIVE ANALYSIS OF ULTRASOUND CONTRAST FLOW BEHAVIOR IN CAROTID PLAQUE NEOVASCULATURE

Abstract

Keywords

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