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Feasibility of photoacoustic image guidance for telerobotic endonasal transsphenoidal surgery

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Injury to the internal carotid arteries during the minimally invasive procedure to remove pituitary tumors (i.e., endonasal transsphenoidal surgery) could have many severe complications, including patient death. While preoperative CT or MR images are available to assist with navigation, the location of these arteries may be uncertain during surgery due to registration errors and intraoperative changes. Ideally, the surgeon should be able to visualize these arteries in real-Time, even though they are behind the bone being drilled. We are therefore exploring the feasibility of a novel photoacoustic image-guided telerobotic system to measure the location of the artery with respect to the drill tip and to accurately visualize the spatial relationship between the artery and drill tip with respect to the imaging system components (i.e., the optical fiber attached to the drill and the ultrasound transducer). The potential system accuracy was evaluated in a two-stage approach that includes gross localization of the vessel center, followed by refinement with an image-based algorithm. This method was tested with a research-based da Vinci Surgical System, simulated photoacoustic data, and experimental data, revealing mean absolute errors of 1.89±0.93 mm and 0.3±0.2 mm for gross and fine positioning, respectively. Results are promising for surgeons to visualize the internal carotid arteries and thereby avoid injury with a teleoperative robotic approach.

Original languageEnglish (US)
Title of host publication2016 6th IEEE International Conference on Biomedical Robotics and Biomechatronics, BioRob 2016
PublisherIEEE Computer Society
Pages482-488
Number of pages7
ISBN (Electronic)9781509032877
DOIs
StatePublished - Jul 26 2016
Event6th IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2016 - Singapore, Singapore
Duration: Jun 26 2016Jun 29 2016

Publication series

NameProceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics
Volume2016-July
ISSN (Print)2155-1774

Other

Other6th IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2016
Country/TerritorySingapore
CitySingapore
Period6/26/166/29/16

ASJC Scopus subject areas

  • Artificial Intelligence
  • Biomedical Engineering
  • Mechanical Engineering

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