Poster + Paper
29 March 2024 Monocular microscope to CT registration using pose estimation of the incus for augmented reality cochlear implant surgery
Author Affiliations +
Conference Poster
Abstract
For those experiencing severe-to-profound sensorineural hearing loss, the cochlear implant (CI) is the preferred treatment. Augmented reality (AR) aided surgery can potentially improve CI procedures and hearing outcomes. Typically, AR solutions for image-guided surgery rely on optical tracking systems to register pre-operative planning information to the display so that hidden anatomy or other important information can be overlayed and co-registered with the view of the surgical scene. In this paper, our goal is to develop a method that permits direct 2D-to-3D registration of the microscope video to the pre-operative Computed Tomography (CT) scan without the need for external tracking equipment. Our proposed solution involves using surface mapping of a portion of the incus in surgical recordings and determining the pose of this structure relative to the surgical microscope by performing pose estimation via the perspective-n-point (PnP) algorithm. This registration can then be applied to pre-operative segmentations of other anatomy-of-interest, as well as the planned electrode insertion trajectory to co-register this information for the AR display. Our results demonstrate the accuracy with an average rotation error of less than 25 degrees and a translation error of less than 2 mm, 3 mm, and 0.55% for the x, y, and z axes, respectively. Our proposed method has the potential to be applicable and generalized to other surgical procedures while only needing a monocular microscope during intra-operation.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Yike Zhang, Eduardo Davalos, Dingjie Su, Ange Lou, and Jack H. Noble "Monocular microscope to CT registration using pose estimation of the incus for augmented reality cochlear implant surgery", Proc. SPIE 12928, Medical Imaging 2024: Image-Guided Procedures, Robotic Interventions, and Modeling, 129282I (29 March 2024); https://doi.org/10.1117/12.3008830
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KEYWORDS
Microscopes

Pose estimation

Augmented reality

Surgery

Cochlea

Computed tomography

Image registration

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