TY - JOUR
T1 - Evaluation of center-line extraction algorithms in quantitative coronary angiography
AU - Greenspan, H.
AU - Laifenfeld, M.
AU - Einav, S.
AU - Barnea, O.
N1 - 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]).
PY - 2001/9
Y1 - 2001/9
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
UR - http://www.scopus.com/inward/record.url?scp=0035438866&partnerID=8YFLogxK
U2 - 10.1109/42.952730
DO - 10.1109/42.952730
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C2 - 11585209
AN - SCOPUS:0035438866
SN - 0278-0062
VL - 20
SP - 928
EP - 941
JO - IEEE Transactions on Medical Imaging
JF - IEEE Transactions on Medical Imaging
IS - 9
ER -