endoSCOPE

In this issue...

The Newsletter of a Medical
Robotics project of the
Institute of Robotics and
Intelligent Systems, a
Federally Funded Network
of the Centres of Excellence



NUMBER 5 — JUNE 2000

Laparoscopy refers to visual inspection and surgery within the abdominal cavity with endoscopic tools. It means shorter recovery time, less infection risk, less pain and trauma for the patient, and reduced hospital costs. This rapidly growing field relies on video feedback and relatively primitive surgical instruments inserted through small incisions. The group is developing robotic assisting devices which help guide surgeons during both the training phase and the actual operation. These systems can also be used in a wide range of minimally invasive surgeries.


  Image Tracking System
click to enlarge An image tracking system has been developed to integrate with the existing 2D imaging system for laparoscopic surgery. Tracking hardware follows specially designed markers located at the tips of the laparoscopic tools. The system identifies the allowable four-degrees of freedom of motion for the laparoscopic tool.

The system will initially be applied in the LaparoRobot--a mechanism which holds the laparoscope (see endoSCOPE No. 4, 1999)--to position the tool within the desired field of view specified by the surgeon.


  Haptic Feedback Mechanism

click to enlarge click to enlarge We have developed a device similar to a conventional joystick that allows a surgeon to feel the sensation of force in his hands. The device gives force feedback for all four-degrees of freedom available in actual surgery. It's being integrated with our Laparoscopic Training Environment to give the surgeon the sensations of the virtual tools touching, pulling, and tearing their environment.


  Haptic Rendering

click to enlarge click to enlarge Just as computer graphics render the visual environment, similar tools are required to render the sense of touch. One of the main challenges in developing a Laparoscopic Training Environment is modelling the way compliant tissues and organs feel when they are touched. A major requirement is for the model to be computationally fast to increase the degree of realism. A framework has been identified and extended using a surface mesh with added physical attributes such as a mass-spring-damper. This approach can be used to model various 3D shapes and contours used in our Laparoscopic Training Environment. The model can create both the reaction force at the contact points and the proper graphical representation of the deformation.


  Volume Estimating System

Output of volume estimating system click to enlarge A system was developed which can be used in estimating the volume of the abdominal cavity during surgery. The system consists of a specially designed sensor and the required graphical interface. It was evaluated using an emulated environment consisting of an artificial cavity made of real tissue.


  Laparoscopic Training Environment

click to enlarge click to enlarge A virtual training environment under development can help surgeons improve hand-eye coordination and dexterity needed for laparoscopic surgery. The theme of the initial phase focuses on hand-eye coordination. The surgeon is required to make contact with a landmark on a compliant object from various initial starting positions of the tool. Completion times for such actions are recorded for further evaluation and comparison. The user can view sites similar to real laparoscopic operations with spotlight illumination. All the objects are compliant and users will eventually be able to feel the force of interactions through specially designed joysticks.



  Personnel

Shahram Payandeh ,
(local lead PI)
Experimental Robotics Lab, SFU
291-4290   shahram@cs.sfu.ca

Ash Parameswaran, (PI)
Micromachining Lab, SFU
291-4971   param@cs.sfu.ca

John Dill, (PI)
Computer Graphics Laboratory
Engineering Science
Professor, SFU 291-3574   dill@cs.sfu.ca

Christine MacKenzie, (PI)
Kinesiology
Professor, SFU 291-3004   mackenzb@sfu.ca

Collaborators

Dr. Javad Dragahi, (1998,99)
Research Associate
dargahi@cs.sfu.ca

Dr. A. Lomax, MD,
Consulting Surgeon
ajlomax@pris.bc.ca

Dr. L. Turner, MD,
Consulting Surgeon
ljturner@axionet.com

H. Van Der Wal,
SFU Mechanical Instrumentation Workshop
hvander@sfu.ca

John Meyer,
SFU Mechanical Instrumentation Workshop
jmeyer@sfu.ca


  Students and Research Assistants:

Caroline Cao, M.A.Sc. (1996)

X. Fang, R.A. (1996)

Ali Faraz, Ph.D. (1998)

William Li, B.A.Sc. (1997)

Jennifer Ibbotson, B.A.Sc. (1999)

Regan Mandryk, M.A.Sc. (2000)

Temei Li, Ph.D. candidate
tlib@cs.sfu.ca

Aaron Li, B.A.Sc. candidate
cleek@sfu.ca

Matt Leduc, B.A.Sc. candidate
mleduc@sfu.ca



Wayne Lim, B.A.Sc. (1999)

Kaari Koehu, B.A.Sc. (1995)

Manish Mehta, M.A.Sc. (1996)

Andon Salvarinov, M.A.Sc. (1999)

Drew MacDonald, B.A.Sc. candidate
andrews@sfu.ca

Zhu Liang Cai, M.A.Sc. (2000)
zcai@cs.sfu.ca

Jason Roth, B.A.Sc. candidate
rothe@sfu.ca

Xiaoli Zhang, M.A.Sc. candidate
xzhanga@sfu.ca

Tissa Mirfakhrai, M.A.Sc. candidate
tmirfakh@sfu.ca


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Last Updated: July 4, 2000