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Toward Intraoperative Image-Guided Transoral Robotic Surgery.
Liu, Wen P; Reaugamornrat, Sureerat; Deguet, Anton; Sorger, Jonathan M; Siewerdsen, Jeffrey H; Richmon, Jeremy; Taylor, Russell H.
Afiliação
  • Liu WP; Department of Computer Science, Johns Hopkins University.
  • Reaugamornrat S; Department of Computer Science, Johns Hopkins University.
  • Deguet A; Department of Computer Science, Johns Hopkins University.
  • Sorger JM; Intuitive Surgical Inc., Sunnyvale, USA.
  • Siewerdsen JH; Department of Computer Science, Johns Hopkins University ; Department of Biomedical Engineering, Johns Hopkins University.
  • Richmon J; Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins Hospital.
  • Taylor RH; Department of Computer Science, Johns Hopkins University ; Department of Biomedical Engineering, Johns Hopkins University.
J Robot Surg ; 7(3): 217-25, 2013 Sep.
Article em En | MEDLINE | ID: mdl-25525474
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). 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) [1, 2]. 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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline Idioma: En Revista: J Robot Surg Ano de publicação: 2013 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline Idioma: En Revista: J Robot Surg Ano de publicação: 2013 Tipo de documento: Article