Tracking the Endocardial Border in Artifact-Prone 3D Images

K.Y. Esther Leung; Mikhail G. Danilouchkine; Marijn van Stralen; Nico de Jong; Antonius F.W. van der Steen; J.G. Bosch

doi:10.1109/ULTSYM.2009.5442017

Tracking the Endocardial Border in Artifact-Prone 3D Images

K.Y. Esther Leung, Mikhail G. Danilouchkine, Marijn van Stralen, Nico de Jong, Antonius F.W. van der Steen, J.G. Bosch

Physics of Fluids

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

Echocardiography is a commonly-used, safe, and noninvasive method for assessing cardiac dysfunction and related coronary artery disease. The analysis of echocardiograms, whether visual or automated, has traditionally been hampered by the presence of ultrasound artifacts, which obscure the moving myocardial wall. In this study, a novel method is proposed for tracking the endocardial surface in 3D ultrasound images. Artifacts which obscure the myocardium are detected in order to improve the quality of cardiac boundary segmentation. The expectation-maximization algorithm is applied in a stationary and dynamic, cardiac-motion frame-of-reference, and weights are derived accordingly. The weights are integrated with an optical-flow based contour tracking method, which incorporates prior knowledge via a statistical model of cardiac motion. Evaluation on 35 three-dimensional echocardiographic sequences shows that this weighed tracking method significantly improves the tracking results. In conclusion, the proposed weights are able to reduce the influence of artifacts, resulting in a more accurate quantitative analysis.

Original language	English
Title of host publication	2009 IEEE International Ultrasonics Symposium
Place of Publication	Piscataway, NJ
Publisher	IEEE
Number of pages	4
ISBN (Electronic)	978-1-4244-4390-1
ISBN (Print)	978-1-4244-4389-5
DOIs	https://doi.org/10.1109/ULTSYM.2009.5442017
Publication status	Published - 20 Sept 2009
Event	IEEE International Ultrasonics Symposium, IUS 2009 - Rome, Italy Duration: 20 Sept 2009 → 23 Sept 2009

Conference

Conference	IEEE International Ultrasonics Symposium, IUS 2009
Abbreviated title	IUS
Country/Territory	Italy
City	Rome
Period	20/09/09 → 23/09/09

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/ULTSYM.2009.5442017

Cite this

@inproceedings{c3750d092a74488bb0d30c86a9760fb5,

title = "Tracking the Endocardial Border in Artifact-Prone 3D Images",

abstract = "Echocardiography is a commonly-used, safe, and noninvasive method for assessing cardiac dysfunction and related coronary artery disease. The analysis of echocardiograms, whether visual or automated, has traditionally been hampered by the presence of ultrasound artifacts, which obscure the moving myocardial wall. In this study, a novel method is proposed for tracking the endocardial surface in 3D ultrasound images. Artifacts which obscure the myocardium are detected in order to improve the quality of cardiac boundary segmentation. The expectation-maximization algorithm is applied in a stationary and dynamic, cardiac-motion frame-of-reference, and weights are derived accordingly. The weights are integrated with an optical-flow based contour tracking method, which incorporates prior knowledge via a statistical model of cardiac motion. Evaluation on 35 three-dimensional echocardiographic sequences shows that this weighed tracking method significantly improves the tracking results. In conclusion, the proposed weights are able to reduce the influence of artifacts, resulting in a more accurate quantitative analysis.",

author = "Leung, {K.Y. Esther} and Danilouchkine, {Mikhail G.} and {van Stralen}, Marijn and {de Jong}, Nico and {van der Steen}, {Antonius F.W.} and J.G. Bosch",

year = "2009",

month = sep,

day = "20",

doi = "10.1109/ULTSYM.2009.5442017",

language = "English",

isbn = "978-1-4244-4389-5",

booktitle = "2009 IEEE International Ultrasonics Symposium",

publisher = "IEEE",

address = "United States",

note = "IEEE International Ultrasonics Symposium, IUS 2009, IUS ; Conference date: 20-09-2009 Through 23-09-2009",

}

TY - GEN

T1 - Tracking the Endocardial Border in Artifact-Prone 3D Images

AU - Leung, K.Y. Esther

AU - Danilouchkine, Mikhail G.

AU - van Stralen, Marijn

AU - de Jong, Nico

AU - van der Steen, Antonius F.W.

AU - Bosch, J.G.

PY - 2009/9/20

Y1 - 2009/9/20

N2 - Echocardiography is a commonly-used, safe, and noninvasive method for assessing cardiac dysfunction and related coronary artery disease. The analysis of echocardiograms, whether visual or automated, has traditionally been hampered by the presence of ultrasound artifacts, which obscure the moving myocardial wall. In this study, a novel method is proposed for tracking the endocardial surface in 3D ultrasound images. Artifacts which obscure the myocardium are detected in order to improve the quality of cardiac boundary segmentation. The expectation-maximization algorithm is applied in a stationary and dynamic, cardiac-motion frame-of-reference, and weights are derived accordingly. The weights are integrated with an optical-flow based contour tracking method, which incorporates prior knowledge via a statistical model of cardiac motion. Evaluation on 35 three-dimensional echocardiographic sequences shows that this weighed tracking method significantly improves the tracking results. In conclusion, the proposed weights are able to reduce the influence of artifacts, resulting in a more accurate quantitative analysis.

AB - Echocardiography is a commonly-used, safe, and noninvasive method for assessing cardiac dysfunction and related coronary artery disease. The analysis of echocardiograms, whether visual or automated, has traditionally been hampered by the presence of ultrasound artifacts, which obscure the moving myocardial wall. In this study, a novel method is proposed for tracking the endocardial surface in 3D ultrasound images. Artifacts which obscure the myocardium are detected in order to improve the quality of cardiac boundary segmentation. The expectation-maximization algorithm is applied in a stationary and dynamic, cardiac-motion frame-of-reference, and weights are derived accordingly. The weights are integrated with an optical-flow based contour tracking method, which incorporates prior knowledge via a statistical model of cardiac motion. Evaluation on 35 three-dimensional echocardiographic sequences shows that this weighed tracking method significantly improves the tracking results. In conclusion, the proposed weights are able to reduce the influence of artifacts, resulting in a more accurate quantitative analysis.

U2 - 10.1109/ULTSYM.2009.5442017

DO - 10.1109/ULTSYM.2009.5442017

M3 - Conference contribution

SN - 978-1-4244-4389-5

BT - 2009 IEEE International Ultrasonics Symposium

PB - IEEE

CY - Piscataway, NJ

T2 - IEEE International Ultrasonics Symposium, IUS 2009

Y2 - 20 September 2009 through 23 September 2009

ER -

Tracking the Endocardial Border in Artifact-Prone 3D Images

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UN SDGs

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