%0 Journal Article %1 martin2022robotic %A Martin, James W. %A Barducci, Lavinia %A Scaglioni, Bruno %A Norton, Joseph C. %A Winters, Conchubhair %A Subramanian, Venkataraman %A Arezzo, Alberto %A Obstein, Keith L. %A Valdastri, Pietro %D 2022 %J IEEE Transactions on Medical Robotics and Bionics %K Medical control device,robot robotics,autonomous systems,endoscopes,medical %N 3 %P 599--607 %R 10.1109/TMRB.2022.3187028 %T Robotic Autonomy for Magnetic Endoscope Biopsy %V 4 %X 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.

@article{martin2022robotic, abstract = {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.}, added-at = {2023-05-10T16:23:27.000+0200}, author = {Martin, James W. and Barducci, Lavinia and Scaglioni, Bruno and Norton, Joseph C. and Winters, Conchubhair and Subramanian, Venkataraman and Arezzo, Alberto and Obstein, Keith L. and Valdastri, Pietro}, biburl = {https://www.bibsonomy.org/bibtex/2bb0fba49d4753ff526e91391526d4c7b/sassw}, doi = {10.1109/TMRB.2022.3187028}, interhash = {e98d4a48fde1fa4cc50bdc6dc0ec0e6d}, intrahash = {bb0fba49d4753ff526e91391526d4c7b}, issn = {25763202}, journal = {IEEE Transactions on Medical Robotics and Bionics}, keywords = {Medical control device,robot robotics,autonomous systems,endoscopes,medical}, number = 3, pages = {599--607}, timestamp = {2023-05-10T16:23:27.000+0200}, title = {{Robotic Autonomy for Magnetic Endoscope Biopsy}}, volume = 4, year = 2022 }