“Trajectory generation for ROI expansion in dental CBCT imaging: An out-of-FOV ROI annotation guided arc scan-based approach” has just been published in the Computational and Structural Biotechnology Journal.
This international collaborative project introduces a novel annotation-guided arc scan-based trajectory generation method aimed at controlled field-of-view (FOV) extension in dental cone-beam computed tomography (CBCT) image reconstruction. The approach leverages region-of-interest (ROI) annotations to guide optimized scan trajectories, enhancing imaging performance beyond conventional FOV limits, without exposing patients to extra radiation, meaning extended FOV was achieved with less radiation than usual.
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