Evaluation of center-line extraction algorithms in quantitative coronary angiography

H. Greenspan; M. Laifenfeld; S. Einav; O. Barnea

doi:10.1109/42.952730

Evaluation of center-line extraction algorithms in quantitative coronary angiography

H. Greenspan, M. Laifenfeld, S. Einav, O. Barnea

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

55 Scopus citations

Abstract

Objective testing of centerline extraction accuracy in quantitative coronary angiography (QCA) algorithms is a very difficult task. Standard tools for this task are not yet available. We present a simulation tool that generates synthetic angiographic images of a single coronary artery with predetermined centerline and diameter function. This simulation tool was used creating a library of images for the objective comparison and evaluation of QCA algorithms. This technique also provides the means for understanding the relationship between the algorithms' performance and limitations and the vessel's geometrical parameters. In this paper, two algorithms are evaluated and the results are presented.

Original language	English
Pages (from-to)	928-941
Number of pages	14
Journal	IEEE Transactions on Medical Imaging
Volume	20
Issue number	9
DOIs	https://doi.org/10.1109/42.952730
State	Published - Sep 2001
Externally published	Yes

Keywords

Centerline estimation
Coronary geometrical complexity
Lumen centerline detection
Performance evaluation
QCA
Simulation tool

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10.1109/42.952730

Cite this

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title = "Evaluation of center-line extraction algorithms in quantitative coronary angiography",

abstract = "Objective testing of centerline extraction accuracy in quantitative coronary angiography (QCA) algorithms is a very difficult task. Standard tools for this task are not yet available. We present a simulation tool that generates synthetic angiographic images of a single coronary artery with predetermined centerline and diameter function. This simulation tool was used creating a library of images for the objective comparison and evaluation of QCA algorithms. This technique also provides the means for understanding the relationship between the algorithms' performance and limitations and the vessel's geometrical parameters. In this paper, two algorithms are evaluated and the results are presented.",

keywords = "Centerline estimation, Coronary geometrical complexity, Lumen centerline detection, Performance evaluation, QCA, Simulation tool",

author = "H. Greenspan and M. Laifenfeld and S. Einav and O. Barnea",

note = "Funding Information: Manuscript received February 15, 2000; revised June 18, 2001. This work was supported by the Elizabeth and Nicholas Slezak Super-center for Cardiac research and Medical Engineering. The work of H. Greenspan was supported by the Israeli Ministry of Science under the Eshkol Grant. The Associate Editor responsible for coordinating the review of this paper and recommending its publication was J. Liang. Asterisk indicates corresponding author. *H. Greenspan is with the Department of Biomedical Engineering, Faculty of Engineering, Tel-Aviv University, Tel-Aviv 69978, Israel (e-mail: [email protected]).",

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doi = "10.1109/42.952730",

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AU - Laifenfeld, M.

AU - Einav, S.

AU - Barnea, O.

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N2 - Objective testing of centerline extraction accuracy in quantitative coronary angiography (QCA) algorithms is a very difficult task. Standard tools for this task are not yet available. We present a simulation tool that generates synthetic angiographic images of a single coronary artery with predetermined centerline and diameter function. This simulation tool was used creating a library of images for the objective comparison and evaluation of QCA algorithms. This technique also provides the means for understanding the relationship between the algorithms' performance and limitations and the vessel's geometrical parameters. In this paper, two algorithms are evaluated and the results are presented.

AB - Objective testing of centerline extraction accuracy in quantitative coronary angiography (QCA) algorithms is a very difficult task. Standard tools for this task are not yet available. We present a simulation tool that generates synthetic angiographic images of a single coronary artery with predetermined centerline and diameter function. This simulation tool was used creating a library of images for the objective comparison and evaluation of QCA algorithms. This technique also provides the means for understanding the relationship between the algorithms' performance and limitations and the vessel's geometrical parameters. In this paper, two algorithms are evaluated and the results are presented.

KW - Centerline estimation

KW - Coronary geometrical complexity

KW - Lumen centerline detection

KW - Performance evaluation

KW - QCA

KW - Simulation tool

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Evaluation of center-line extraction algorithms in quantitative coronary angiography

Abstract

Keywords

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