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Development of an Augmented Reality Guidance System for Head and Neck Cancer Resection
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  • Guansen Tong,
  • Jiayi Xu,
  • Michael Pfister,
  • Jumanh Atoum,
  • Kavita Prasad,
  • Alexis Miller,
  • Michael Topf,
  • Jie Ying Wu
Guansen Tong
Vanderbilt University
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Jiayi Xu
Vanderbilt University

Corresponding Author:[email protected]

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Michael Pfister
Vanderbilt University
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Jumanh Atoum
Vanderbilt University
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Kavita Prasad
Vanderbilt University Medical Center
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Alexis Miller
Vanderbilt University Medical Center
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Michael Topf
Vanderbilt University Medical Center
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Jie Ying Wu
Vanderbilt School of Engineering
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Abstract

The use of head-mounted augmented reality (AR) for surgeries has grown rapidly in recent years. AR aids in intraoperative surgical navigation through overlaying 3D holographic reconstructions of medical data. However, performing AR surgeries on complex areas poses challenges in terms of accuracy and speed. This study explores the feasibility of an AR guidance system for resections of positive tumor margins at the head and neck region. We present an intraoperative solution that enables surgeons to access holographic reconstructions of resected cadaver tissues. The solution involves using 3D scanner to capture detailed scans of the resected tissue, which are uploaded into our software. It then converts these scans into holograms that are viewable through a head-mounted AR display. Surgeons navigates the tumor site by re-aligning these holograms with cadavers using gestures or voice commands. This workflow runs concurrently with frozen section analysis. On average, we achieve an uploading time of 2.98 min, visualization time of 1.05 min and re-alignment time of 4.39 min, within the 20 - 30 min window for frozen section analysis. We achieve a mean re-alignment error of 3.1 mm. Our software provides a foundation for new product development in using AR to navigate complex anatomy in surgery.
09 Nov 2023Submitted to Healthcare Technology Letters
16 Nov 2023Submission Checks Completed
16 Nov 2023Assigned to Editor
19 Nov 2023Reviewer(s) Assigned
21 Nov 2023Review(s) Completed, Editorial Evaluation Pending
22 Nov 2023Editorial Decision: Accept