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Grant: Discovery Grants Program - Individual

University of Ontario Institute of Technology

$32,000.00

Towards collaborative and autonomous robotic minimally invasive surgery

FY 2018-19

Summary
The objective of this research program is to develop human-machine interfaces and methods for collaborative and autonomous robotic surgery. Ever since robots have entered the operating room, surgery has gone through one of the greatest changes in the history of medicine. In teleoperated surgery, medical tools such as needles and catheters are operated remotely by a surgeon using a robotic arm. Recent advances gave rise to new trends in surgical robots spanning from intra-operative navigation of tools to the development of autonomous and semi-autonomous interventions, resulting in several open-ended research challenges. I propose to develop methods that allow for collaborative and fully autonomous robotic interventions that will combine two complementary research areas, namely ultrasound-based image guidance of surgical tools and human/machine cooperative teleoperation of surgical tasks.*Based on harmonic ultrasonic imaging, this research program will develop methods using nonlinear ultrasound to automatically and robustly track surgical tools inserted into human tissue. From the reaction of the tissue to the ultrasound signals at a given location, the mechanical properties of the tissue can be estimated. The sensation of directly touching and palpating the tissue can then be conveyed to the surgeon remotely using haptic feedback. This will also provide surgeons with safety barriers and guidance to increase the cognitive perception of the task being performed. I propose to combine trajectory planning and learning algorithms to teach a required action to the robot while compensating for dynamic changes in its environment. Potential applications include treatments for liver, prostate, kidney, pancreatic, brain, and bladder cancers, as well as cataracts surgery, and localized drug and implant delivery.*The proposed research will enable training of graduate and undergraduate students in key areas pertaining to the development of innovative state-of-the-art technologies for robotic surgery, which hold great promise for Canada.
Program
Discovery Grants Program - Individual
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
RGPIN-2018-06074
Name nom
Rossa, Carlos
Department département
Engineering and Applied Science, Faculty of
Organization id
19222
Institution établissement
University of Ontario Institute of Technology
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2018
Competition year année de concours
2018
Award amount
32000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1512
Committee name en
Mechanical Engineering
Committee name fr
Génie mécanique
Area of application code
1206
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Engineering
Area of application fr
Génie
Research subject code
2100
Research subject group en
Mechanical engineering
Research subject group fr
Génie mécanique
Research subject en
Mechanical engineering
Research subject fr
Génie mécanique
Partie
1
Nb partie
5
Application title
Towards collaborative and autonomous robotic minimally invasive surgery
Keyword
NSERC
Application summary
The objective of this research program is to develop human-machine interfaces and methods for collaborative and autonomous robotic surgery. Ever since robots have entered the operating room, surgery has gone through one of the greatest changes in the history of medicine. In teleoperated surgery, medical tools such as needles and catheters are operated remotely by a surgeon using a robotic arm. Recent advances gave rise to new trends in surgical robots spanning from intra-operative navigation of tools to the development of autonomous and semi-autonomous interventions, resulting in several open-ended research challenges. I propose to develop methods that allow for collaborative and fully autonomous robotic interventions that will combine two complementary research areas, namely ultrasound-based image guidance of surgical tools and human/machine cooperative teleoperation of surgical tasks.*Based on harmonic ultrasonic imaging, this research program will develop methods using nonlinear ultrasound to automatically and robustly track surgical tools inserted into human tissue. From the reaction of the tissue to the ultrasound signals at a given location, the mechanical properties of the tissue can be estimated. The sensation of directly touching and palpating the tissue can then be conveyed to the surgeon remotely using haptic feedback. This will also provide surgeons with safety barriers and guidance to increase the cognitive perception of the task being performed. I propose to combine trajectory planning and learning algorithms to teach a required action to the robot while compensating for dynamic changes in its environment. Potential applications include treatments for liver, prostate, kidney, pancreatic, brain, and bladder cancers, as well as cataracts surgery, and localized drug and implant delivery.*The proposed research will enable training of graduate and undergraduate students in key areas pertaining to the development of innovative state-of-the-art technologies for robotic surgery, which hold great promise for Canada.
University of Ontario Institute of Technology - $32,0… | Canada Spends