Evaluation of center-line extraction algorithms in quantitative coronary angiography

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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

55 Scopus citations


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 languageEnglish
Pages (from-to)928-941
Number of pages14
JournalIEEE Transactions on Medical Imaging
Issue number9
StatePublished - Sep 2001


FundersFunder number
Israeli Ministry of Science
Nicholas and Elizabeth Slezak Super Center for Cardiac Research and Biomedical Engineering


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


    Dive into the research topics of 'Evaluation of center-line extraction algorithms in quantitative coronary angiography'. Together they form a unique fingerprint.

    Cite this