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Article dans une revue
Augmented Reality of the Middle Ear Combining Otoendoscopy and Temporal Bone Computed Tomography
Abstract : HYPOTHESIS:
Augmented reality (AR) may enhance otologic procedures by providing sub-millimetric accuracy and allowing the unification of information in a single screen.
BACKGROUND:
Several issues related to otologic procedures can be addressed through an AR system by providing sub-millimetric precision, supplying a global view of the middle ear cleft, and advantageously unifying the information in a single screen. The AR system is obtained by combining otoendoscopy with temporal bone computer tomography (CT).
METHODS:
Four human temporal bone specimens were explored by high-resolution CT-scan and dynamic otoendoscopy with video recordings. The initialization of the system consisted of a semi-automatic registration between the otoendoscopic video and the 3D CT-scan reconstruction of the middle ear. Endoscope movements were estimated by several computer vision techniques (feature detectors/descriptors and optical flow) and used to warp the CT-scan to keep the correspondence with the otoendoscopic video.
RESULTS:
The system maintained synchronization between the CT-scan image and the otoendoscopic video in all experiments during slow and rapid (5-10 mm/s) endoscope movements. Among tested algorithms, two feature-based methods, scale-invariant feature transform (SIFT); and speeded up robust features (SURF), provided sub-millimeter mean tracking errors (0.38 ± 0.53 mm and 0.20 ± 0.16 mm, respectively) and an adequate image refresh rate (11 and 17 frames per second, respectively) after 2 minutes of procedure with continuous endoscope movements.
CONCLUSION:
A precise augmented reality combining video and 3D CT-scan data can be applied to otoendoscopy without the use of conventional neuronavigation tracking thanks to computer vision algorithms.
https://hal-univ-bourgogne.archives-ouvertes.fr/hal-01862746
Contributeur : Le2i - Université de Bourgogne <>
Soumis le : lundi 27 août 2018 - 16:35:11
Dernière modification le : vendredi 17 juillet 2020 - 14:59:10
Contributeur : Le2i - Université de Bourgogne <>
Soumis le : lundi 27 août 2018 - 16:35:11
Dernière modification le : vendredi 17 juillet 2020 - 14:59:10