0000000000962149

AUTHOR

Michel Michel

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Automated detection of patient movement during a CBCT scan based on the projection data.

2015

Objectives To develop an automated procedure to detect patient motion on the projection images acquired during a cone beam computed tomography (CBCT) scan and to evaluate the method's feasibility on small real-world CBCT images in relation to visual assessment. Methods Based on optical flow theory, software was developed using the sequence of the projection images of a CBCT machine for automated detection of patient motion. Averaged acceleration vectors were used as measurement data and compared with visual assessment of the projection images displayed as video. Seventy-nine CBCT data sets (small field-of-view: 40 mm) from our patient database were selected in a sequential fashion and evalu…

Cone beam computed tomographyComputer scienceMovementOptical flowVideo RecordingSensitivity and SpecificityPathology and Forensic MedicineAccelerationSoftwareImaging Three-DimensionalHumansRadiology Nuclear Medicine and imagingDentistry (miscellaneous)Computer visionSensitivity (control systems)Projection (set theory)Pixelbusiness.industryPhantoms ImagingFrame (networking)Cone-Beam Computed TomographyFeasibility StudiesRadiographic Image Interpretation Computer-AssistedSurgeryArtificial intelligenceOral SurgerybusinessArtifactsAlgorithmsSoftwareOral surgery, oral medicine, oral pathology and oral radiology
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