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Grant: Discovery Grants Program - Individual

Carleton University

$58,000.00

Towards Realistic Surgical Simulation and Training Systems

FY 2019-20

Summary
At present, surgical residents acquire and develop hands-on skills mainly through trials on animals, cadavers and patients. There are, however, obvious disadvantages to these conventional training approaches: animals have different anatomies from humans; cadavers are unable to provide appropriate physiological responses; it is risky when students practice on patients.****    With recent advances in haptics and computer graphics, visual reality based surgical simulation is rapidly emerging and increasingly perceived as a valuable addition to, or replacement of, traditional training methods. Simulators can generate virtual patients with realistic human anatomy and physiological responses, potentially providing a risk-free training environment with the possibility of unlimited training over a wide range of pathologies. In addition to these benefits, new and complex surgical procedures can be practiced safely on a simulator before proceeding to patients; students can practice on their own schedules; training sessions can be stored and later reviewed by physicians.****    While a small number of companies are starting to offer surgical simulation training systems of varying quality, no simulators are able to provide a sufficiently high degree of resemblance to real-life surgery. There still exist numerous fundamental challenges and technical difficulties, such as the dexterity of haptic interfaces, accuracy of virtual patient models, collision modelling, real-time and immersive visualization of the operating scene, etc. ***    In this research, we propose to develop principles, algorithms and tools that are essential to realize highly realistic surgical simulation, enabling medical institutions to train surgeons using simulators. Due to the broad scope of potential research topics, we limit our efforts to a subset of problems including: 1. haptic feedback, 2. tissue modelling, and 3.validation criteria. At the end, the anticipated results will be integrated and validated by the development of a cricothyroidotomy simulator.***
Program
Discovery Grants Program - Individual
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
RGPIN-2015-04629
Name nom
Liu, Peter
Department département
Systems and Computer Engineering
Organization id
23
Institution établissement
Carleton University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2019
Competition year année de concours
2015
Award amount
58000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1510
Committee name en
Electrical and Computer Engineering
Committee name fr
Génie électrique et informatique
Area of application code
1102
Area of application group en
Health, education and social services
Area of application group fr
Santé publique, éducation et services sociaux
Area of application en
Biomedical engineering
Area of application fr
Génie biomédical
Research subject code
2500
Research subject group en
Electrical and electronic engineering
Research subject group fr
Génie électrique et électronique
Research subject en
Electrical and electronic engineering
Research subject fr
Génie électrique et électronique
Installment
inst:5 - 5
Partie
5
Nb partie
5
Application title
Towards Realistic Surgical Simulation and Training Systems
Keyword
NSERC
Application summary
At present, surgical residents acquire and develop hands-on skills mainly through trials on animals, cadavers and patients. There are, however, obvious disadvantages to these conventional training approaches: animals have different anatomies from humans; cadavers are unable to provide appropriate physiological responses; it is risky when students practice on patients.****    With recent advances in haptics and computer graphics, visual reality based surgical simulation is rapidly emerging and increasingly perceived as a valuable addition to, or replacement of, traditional training methods. Simulators can generate virtual patients with realistic human anatomy and physiological responses, potentially providing a risk-free training environment with the possibility of unlimited training over a wide range of pathologies. In addition to these benefits, new and complex surgical procedures can be practiced safely on a simulator before proceeding to patients; students can practice on their own schedules; training sessions can be stored and later reviewed by physicians.****    While a small number of companies are starting to offer surgical simulation training systems of varying quality, no simulators are able to provide a sufficiently high degree of resemblance to real-life surgery. There still exist numerous fundamental challenges and technical difficulties, such as the dexterity of haptic interfaces, accuracy of virtual patient models, collision modelling, real-time and immersive visualization of the operating scene, etc. ***    In this research, we propose to develop principles, algorithms and tools that are essential to realize highly realistic surgical simulation, enabling medical institutions to train surgeons using simulators. Due to the broad scope of potential research topics, we limit our efforts to a subset of problems including: 1. haptic feedback, 2. tissue modelling, and 3.validation criteria. At the end, the anticipated results will be integrated and validated by the development of a cricothyroidotomy simulator.***