1. Distortion and Instability Compensation with Deep Learning for Rotational Scanning Endoscopic Optical Coherence Tomography

    Distortion and Instability Compensation with Deep Learning for Rotational Scanning Endoscopic Optical Coherence Tomography

    Optical Coherence Tomography (OCT) is increasingly used in endoluminal procedures since it provides high-speed and high resolution imaging. Distortion and instability of images obtained with a proximal scanning endoscopic OCT system are significant due to the motor rotation irregularity, the friction between the rotating probe and outer sheath and synchronization issues. On-line compensation of artefacts is essential to ensure image quality suitable for real-time assistance during diagnosis or minimally invasive treatment. In this paper, we propose a new online correction method to tackle both B-scan distortion, video stream shaking and drift problem of endoscopic OCT linked to A-line level image ...

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