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Fully automatic three‐dimensional quantitative analysis of intracoronary optical coherence tomography
Author(s) -
Sihan Kenji,
Botha Charl,
Post Frits,
de Winter Sebastiaan,
Gonzalo Nieves,
Regar Evelyn,
Serruys Patrick J.W.C.,
Hamers Ronald,
Bruining Nico
Publication year - 2009
Publication title -
catheterization and cardiovascular interventions
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.988
H-Index - 116
eISSN - 1522-726X
pISSN - 1522-1946
DOI - 10.1002/ccd.22125
Subject(s) - optical coherence tomography , artificial intelligence , computer vision , medicine , artifact (error) , matlab , computer science , radiology , operating system
Objectives and background : Quantitative analysis of intracoronary optical coherence tomography (OCT) image data (QOCT) is currently performed by a time‐consuming manual contour tracing process in individual OCT images acquired during a pullback procedure (frame‐based method). To get an efficient quantitative analysis process, we developed a fully automatic three‐dimensional (3D) lumen contour detection method and evaluated the results against those derived by expert human observers. Methods : The method was developed using Matlab (The Mathworks, Natick, MA). It incorporates a graphical user interface for contour display and, in the selected cases where this might be necessary, editing. OCT image data of 20 randomly selected patients, acquired with a commercially available system (Lightlab imaging, Westford, MA), were pulled from our OCT database for validation. Results : A total of 4,137 OCT images were analyzed. There was no statistically significant difference in mean lumen areas between the two methods (5.03 ± 2.16 vs. 5.02 ± 2.21 mm 2 ; P = 0.6, human vs. automated). Regression analysis showed a good correlation with an r value of 0.99. The method requires an average 2–5 sec calculation time per OCT image. In 3% of the detected contours an observer correction was necessary. Conclusion : Fully automatic lumen contour detection in OCT images is feasible with only a select few contours showing an artifact (3%) that can be easily corrected. This QOCT method may be a valuable tool for future coronary imaging studies incorporating OCT. © 2009 Wiley‐Liss, Inc.