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Integrated Photoacoustic Ophthalmoscopy and Spectral-domain Optical Coherence Tomography
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Optimized Computer-Aided Segmentation and Three-Dimensional Reconstruction Using Intracoronary Optical Coherence

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    |July 4, 2018
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    Summary

    A new method accurately reconstructs 3-D coronary arteries from optical coherence tomography (OCT) images. This computer-aided approach enhances lumen detection and 3-D vessel modeling for research and clinical use.

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    Area of Science:

    • Cardiovascular Imaging
    • Medical Image Analysis
    • Computational Fluid Dynamics

    Background:

    • Accurate three-dimensional (3-D) reconstruction of coronary arteries is crucial for diagnosing and treating cardiovascular diseases.
    • Existing methods for intracoronary lumen detection and 3-D modeling can be time-consuming and may lack precision.

    Purpose of the Study:

    • To develop and validate a novel, time-efficient computer-aided method for intracoronary lumen detection and 3-D coronary artery reconstruction using optical coherence tomography (OCT) images.

    Main Methods:

    • Reconstructed longitudinal cross-section (LOCS) images from OCT data acquired at various angles.
    • Extracted 2-D lumen contours and transformed them into 3-D space, aligned with a 3-D vessel centerline derived from angiographic projections.
    • Validated the method against 613 expert manual annotations, comparing 2-D contours, 3-D models, and calculated wall shear stress (WSS).

    Main Results:

    • Achieved high correlation coefficients for lumen area (r = 0.98) and local WSS (r = 0.97) compared to expert data.
    • Demonstrated high overlap ratio (0.92) and low non-overlap ratio (0.14) between the proposed method and expert annotations.
    • Bland-Altman analysis showed no significant bias and good limits of agreement for lumen area and WSS measurements.

    Conclusions:

    • The proposed computer-aided lumen extraction and 3-D vessel reconstruction method is fast and accurate.
    • This technique shows significant potential to aid in both research and clinical applications for cardiovascular imaging and analysis.