Automated Measurement of Stent Strut Coverage in Intravascular Optical Coherence Tomography

다국어 초록 (Multilingual Abstract)

Optical coherence tomography (OCT) is a non-invasive, cross-sectional imaging modality thathas become a prominent imaging method in percutaneous intracoronary intervention. We presentan automated detection algorithm for stent strut coordinates and coverage in OCT images. Thealgorithm for stent strut detection is composed of a coordinate transformation from the polarto the Cartesian domains and application of second derivative operators in the radial and thecircumferential directions. Local region-based active contouring was employed to detect lumenboundaries. We applied the method to the OCT pullback images acquired from human patientsin vivo to quantitatively measure stent strut coverage. The validation studies against manualexpert assessments demonstrated high Pearson’s coefficients (R = 0.99) in terms of the stent strutcoordinates, with no significant bias. An averaged Hausdorff distance of < 120 μm was obtainedfor vessel border detection. Quantitative comparison in stent strut to vessel wall distance found abias of < 12.3 μm and a 95% confidence of < 110 μm.

참고문헌 (Reference)

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