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Robotic Autonomy for Magnetic Endoscope Biopsy.
Martin, James W; Barducci, Lavinia; Scaglioni, Bruno; Norton, Joseph C; Winters, Conchubhair; Subramanian, Venkataraman; Arezzo, Alberto; Obstein, Keith L; Valdastri, Pietro.
Affiliation
  • Martin JW; STORM Lab UK, University of Leeds, Leeds, UK.
  • Barducci L; STORM Lab UK, University of Leeds, Leeds, UK.
  • Scaglioni B; STORM Lab UK, University of Leeds, Leeds, UK.
  • Norton JC; STORM Lab UK, University of Leeds, Leeds, UK.
  • Winters C; Leeds Teaching Hospitals NHS Trust, St James's University Hospital, Leeds, UK.
  • Subramanian V; Leeds Teaching Hospitals NHS Trust, St James's University Hospital, Leeds, UK.
  • Arezzo A; Department of Surgical Sciences, University of Torino, Turin, Italy.
  • Obstein KL; STORM Lab USA, Vanderbilt University, Nashville, TN, USA, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Valdastri P; STORM Lab UK, University of Leeds, Leeds, UK.
IEEE Trans Med Robot Bionics ; 4(3): 599-607, 2022 Aug.
Article in En | MEDLINE | ID: mdl-36249558
Magnetically actuated endoscopes are currently transitioning in to clinical use for procedures such as colonoscopy, presenting numerous benefits over their conventional counterparts. Intelligent and easy-to-use control strategies are an essential part of their clinical effectiveness due to the un-intuitive nature of magnetic field interaction. However, work on developing intelligent control for these devices has mainly been focused on general purpose endoscope navigation. In this work, we investigate the use of autonomous robotic control for magnetic colonoscope intervention via biopsy, another major component of clinical viability. We have developed control strategies with varying levels of robotic autonomy, including semi-autonomous routines for identifying and performing targeted biopsy, as well as random quadrant biopsy. We present and compare the performance of these approaches to magnetic endoscope biopsy against the use of a standard flexible endoscope on bench-top using a colonoscopy training simulator and silicone colon model. The semi-autonomous routines for targeted and random quadrant biopsy were shown to reduce user workload with comparable times to using a standard flexible endoscope.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: IEEE Trans Med Robot Bionics Year: 2022 Document type: Article Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: IEEE Trans Med Robot Bionics Year: 2022 Document type: Article Country of publication: