![]() ![]() The efficiency and robustness of the proposed method are evaluated with synthetic scans as well as real scans under two scanning modes. As part of this article we discuss the proposed method in two different scanning modes: the first is a conventional pullback mode where the optical components move along the protection sheath, and the second is a self-designed scanning mode where the catheter is globally translated by using an external actuator. We train the network with synthetic OCT videos by intentionally adding rotational distortion into real OCT images. Characterising Watershed Coherence in Stream Dissolved Organic Carbon Across Boreal Shield Forested Catchments Morison, M. To solve the problem of accumulative error in iterative frame stream processing, we deploy an overall rotation estimation between reference orientation and actual OCT image orientation. A correlation map between two successive B-scans is computed and provided as input to the CNN. The algorithm first estimates the Non-Uniform Rotational Distortion (NURD) for each B-scan by using a Convolutional Neural Network (CNN). To further correct the rotational distortion in the OCT image, a volumetric data stabilization algorithm is proposed. By improving the scanning process, this instability can be partially reduced. The non-constant rotation speed of optical components in the OCT catheter tip causes rotational distortion in OCT volumetric scanning. Download a PDF of the paper titled Data Stream Stabilization for Optical Coherence Tomography Volumetric Scanning, by Guiqiu Liao and 8 other authors Download PDF Abstract:Optical Coherence Tomography (OCT) is an emerging medical imaging modality for luminal organ diagnosis.
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