Automatic Detection of Calcified Plaque with Acoustic Shadowing

Zhifan Gao; William Kongto Hau; Heye Zhang; Yuan-Ting Zhang

doi:10.1007/978-3-319-03005-0_50

Automatic Detection of Calcified Plaque with Acoustic Shadowing

Zhifan Gao^*, William Kongto Hau, Heye Zhang, Yuan-Ting Zhang

^*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

4 Citations (Scopus)

Abstract

Intravascular ultrasound (IVUS) is one medical imaging technology using invasive ultrasound imaging modality, and has been widely used in the assessment of the extent and severity of the atherosclerosis. Automatic and accurate detection of the shape of the calcified plaque with acoustic shadowing can assist the evaluation and treatment of the pathological changes in the cardiovascular vessels. In this paper, we have developed a method to automatically detect the range of the calcified plaque with acoustic shadowing in IVUS images by combining of the Gaussian mixture model and Markov random field. The results of this study on In-Vivo IVUS images demonstrate that the proposedmethod has great potential for automatically detecting the calcified plaque with acoustic shadowing.

Original language	English
Title of host publication	The International Conference on Health Informatics
Editors	Igor Lacković, Paulo de Carvalho, Yuan-Ting Zhang, Ratko Magjarević
Publisher	Springer International Publishing
Pages	197-199
ISBN (Electronic)	9783319030050
ISBN (Print)	9783319030043
DOIs	https://doi.org/10.1007/978-3-319-03005-0_50
Publication status	Published - Nov 2013
Externally published	Yes
Event	International Conference on Health Informatics, ICHI 2013: “Integrating Information and Communication Technologies with Biomedicine for Global Health” - Vilamoura, Portugal Duration: 7 Nov 2013 → 9 Nov 2013 http://2016.ifmbe.org/ifmbe-ichi/

Publication series

Name	IFMBE Proceedings
Volume	42
ISSN (Print)	1680-0737
ISSN (Electronic)	1433-9277

Conference

Conference	International Conference on Health Informatics, ICHI 2013
Place	Portugal
City	Vilamoura
Period	7/11/13 → 9/11/13
Internet address	http://2016.ifmbe.org/ifmbe-ichi/

Research Keywords

Image segmentation
IVUS
Calcified plaque
Acoustic shadowing

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10.1007/978-3-319-03005-0_50

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Cite this

@inproceedings{d7329b02fcd743e8acf0846866a21f58,

title = "Automatic Detection of Calcified Plaque with Acoustic Shadowing",

abstract = "Intravascular ultrasound (IVUS) is one medical imaging technology using invasive ultrasound imaging modality, and has been widely used in the assessment of the extent and severity of the atherosclerosis. Automatic and accurate detection of the shape of the calcified plaque with acoustic shadowing can assist the evaluation and treatment of the pathological changes in the cardiovascular vessels. In this paper, we have developed a method to automatically detect the range of the calcified plaque with acoustic shadowing in IVUS images by combining of the Gaussian mixture model and Markov random field. The results of this study on In-Vivo IVUS images demonstrate that the proposedmethod has great potential for automatically detecting the calcified plaque with acoustic shadowing.",

keywords = "Image segmentation, IVUS, Calcified plaque, Acoustic shadowing",

author = "Zhifan Gao and Hau, {William Kongto} and Heye Zhang and Yuan-Ting Zhang",

year = "2013",

month = nov,

doi = "10.1007/978-3-319-03005-0_50",

language = "English",

isbn = "9783319030043",

series = "IFMBE Proceedings",

publisher = "Springer International Publishing ",

pages = "197--199",

editor = "Igor Lackovi{\'c} and {de Carvalho}, Paulo and Yuan-Ting Zhang and Ratko Magjarevi{\'c}",

booktitle = "The International Conference on Health Informatics",

address = "Switzerland",

note = "International Conference on Health Informatics, ICHI 2013 : “Integrating Information and Communication Technologies with Biomedicine for Global Health” ; Conference date: 07-11-2013 Through 09-11-2013",

url = "http://2016.ifmbe.org/ifmbe-ichi/",

}

Gao, Z, Hau, WK, Zhang, H & Zhang, Y-T 2013, Automatic Detection of Calcified Plaque with Acoustic Shadowing. in I Lacković, P de Carvalho, Y-T Zhang & R Magjarević (eds), The International Conference on Health Informatics. IFMBE Proceedings, vol. 42, Springer International Publishing , pp. 197-199, International Conference on Health Informatics, ICHI 2013, Vilamoura, Portugal, 7/11/13. https://doi.org/10.1007/978-3-319-03005-0_50

Automatic Detection of Calcified Plaque with Acoustic Shadowing. / Gao, Zhifan; Hau, William Kongto; Zhang, Heye et al.
The International Conference on Health Informatics. ed. / Igor Lacković; Paulo de Carvalho; Yuan-Ting Zhang; Ratko Magjarević. Springer International Publishing , 2013. p. 197-199 (IFMBE Proceedings; Vol. 42).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Automatic Detection of Calcified Plaque with Acoustic Shadowing

AU - Gao, Zhifan

AU - Hau, William Kongto

AU - Zhang, Heye

AU - Zhang, Yuan-Ting

PY - 2013/11

Y1 - 2013/11

N2 - Intravascular ultrasound (IVUS) is one medical imaging technology using invasive ultrasound imaging modality, and has been widely used in the assessment of the extent and severity of the atherosclerosis. Automatic and accurate detection of the shape of the calcified plaque with acoustic shadowing can assist the evaluation and treatment of the pathological changes in the cardiovascular vessels. In this paper, we have developed a method to automatically detect the range of the calcified plaque with acoustic shadowing in IVUS images by combining of the Gaussian mixture model and Markov random field. The results of this study on In-Vivo IVUS images demonstrate that the proposedmethod has great potential for automatically detecting the calcified plaque with acoustic shadowing.

AB - Intravascular ultrasound (IVUS) is one medical imaging technology using invasive ultrasound imaging modality, and has been widely used in the assessment of the extent and severity of the atherosclerosis. Automatic and accurate detection of the shape of the calcified plaque with acoustic shadowing can assist the evaluation and treatment of the pathological changes in the cardiovascular vessels. In this paper, we have developed a method to automatically detect the range of the calcified plaque with acoustic shadowing in IVUS images by combining of the Gaussian mixture model and Markov random field. The results of this study on In-Vivo IVUS images demonstrate that the proposedmethod has great potential for automatically detecting the calcified plaque with acoustic shadowing.

KW - Image segmentation

KW - IVUS

KW - Calcified plaque

KW - Acoustic shadowing

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U2 - 10.1007/978-3-319-03005-0_50

DO - 10.1007/978-3-319-03005-0_50

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9783319030043

T3 - IFMBE Proceedings

SP - 197

EP - 199

BT - The International Conference on Health Informatics

A2 - Lacković, Igor

A2 - de Carvalho, Paulo

A2 - Zhang, Yuan-Ting

A2 - Magjarević, Ratko

PB - Springer International Publishing

T2 - International Conference on Health Informatics, ICHI 2013

Y2 - 7 November 2013 through 9 November 2013

ER -

Automatic Detection of Calcified Plaque with Acoustic Shadowing

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