Abstract:
Accurate spatial calibration for mobile imaging modality is the essential and enabling technology for augmented-reality based surgical navigation systems. Despite years o...View moreMetadata
Abstract:
Accurate spatial calibration for mobile imaging modality is the essential and enabling technology for augmented-reality based surgical navigation systems. Despite years of research, spatial calibration for surgical camera and freehand ultrasound remains areas of active research. In this paper, we present a unified spatial calibration framework for ultrasound probe calibration and camera hand-eye calibration using the same mathematical principle. By treating spatial calibration as a registration problem between paired points and lines, our framework provides i) efficient solutions with guaranteed convergence properties, and ii) based on error propagation model, a set of heuristic rules for fiducial placements that leads to accurate calibration consistently. Monte Carlo simulation demonstrated that accuracy camera hand-eye calibration (≈ 5 pixel) is possible with the Microsoft HoloLens 2 using as few as 6 fiducial measurements, and accurate ultrasound probe calibration can be consistently obtained using as few as 12 fiducial measurements.
Date of Conference: 26-28 October 2022
Date Added to IEEE Xplore: 05 December 2022
ISBN Information: