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  • Title: Fully automatic three-dimensional quantitative analysis of intracoronary optical coherence tomography: method and Validation.
    Author: Sihan K, Botha C, Post F, de Winter S, Gonzalo N, Regar E, Serruys PJ, Hamers R, Bruining N.
    Journal: Catheter Cardiovasc Interv; 2009 Dec 01; 74(7):1058-65. PubMed ID: 19521990.
    Abstract:
    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 + or - 2.16 vs. 5.02 + or - 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.
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