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Updated: Jun 22, 2026
13:07
Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression
Published on: January 15, 2022
Fully automatic three-dimensional quantitative analysis of intracoronary optical coherence tomography: method and
Kenji Sihan1, Charl Botha, Frits Post
1Thoraxcenter, Delft, The Netherlands.
Summary
A new automated method for analyzing intracoronary optical coherence tomography (OCT) images significantly speeds up quantitative analysis (QOCT). This 3D lumen contour detection is accurate and efficient, requiring minimal correction.
Area of Science:
- Cardiovascular Imaging
- Medical Image Analysis
- Biomedical Engineering
Background:
- Manual contour tracing in intracoronary optical coherence tomography (OCT) for quantitative analysis (QOCT) is time-consuming.
- Current frame-based methods limit the efficiency of processing pullback OCT data.
Purpose of the Study:
- To develop and validate a fully automatic three-dimensional (3D) lumen contour detection method for OCT images.
- To improve the efficiency of quantitative analysis of intracoronary OCT data.
Main Methods:
- Developed a novel algorithm using Matlab with a graphical user interface for contour display and editing.
- Validated the automated method against manual analysis on 4,137 OCT images from 20 patients.
Main Results:
- The automated method showed no statistically significant difference in mean lumen areas compared to manual analysis (P = 0.6).
- Excellent correlation (r=0.99) was observed between automated and manual methods.
- The automated analysis required only 2-5 seconds per image, with a 3% artifact rate needing correction.
Conclusions:
- Fully automatic lumen contour detection in OCT images is feasible and highly accurate.
- This automated QOCT method offers a valuable, efficient tool for coronary imaging studies.
- Minimal manual correction is needed, streamlining the analysis process.
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