Toward intraoperative image-guided transoral robotic surgery

Wen P. Liu, Sureerat Reaugamornrat, Anton Deguet, Jonathan M. Sorger, Jeffrey H. Siewerdsen, Jeremy Richmon, Russell H. Taylor

Research output: Contribution to journalArticlepeer-review

Abstract

This paper presents the development and evaluation of video augmentation on the stereoscopic da Vinci S system with intraoperative image guidance for base of tongue tumor resection in transoral robotic surgery (TORS). The proposed workflow for image-guided TORS begins by identifying and segmenting critical oropharyngeal structures (e.g., the tumor and adjacent arteries and nerves) from preoperative computed tomography (CT) and/or magnetic resonance (MR) imaging. These preoperative planned data can be deformably registered to the intraoperative endoscopic view using mobile C-arm cone-beam computed tomography (CBCT) [Daly et al. in Med Phys 2006; 33(10):3767-3780; Siewerdsen et al. in SPIE Medical Imaging 2009]. Augmentation of TORS endoscopic video defining surgical targets and critical structures has the potential to improve navigation, spatial orientation, and confidence in tumor resection. Experiments in animal specimens achieved statistically significant improvement in target localization error when comparing the proposed image guidance system to simulated current practice.

Original languageEnglish (US)
Pages (from-to)217-225
Number of pages9
JournalJournal of Robotic Surgery
Volume7
Issue number3
DOIs
StatePublished - Sep 2013

Keywords

  • Cone-beam computed tomography
  • Deformable registration
  • Intraoperative image guidance
  • Minimally invasive surgery
  • Stereoscopic video augmentation
  • Transoral robotic surgery

ASJC Scopus subject areas

  • Surgery
  • Health Informatics

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