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Details of Grant 

EPSRC Reference: GR/S09968/01
Title: INFRARED ENDOSCOPY: DEVELOPMENT AND EVALUTATION OF A DUAL-CHANNEL SYSTEM
Principal Investigator: Cuschieri, Professor Sir A
Other Investigators:
Frank, Dr T
Researcher Co-Investigators:
Dr PA Campbell
Project Partners:
QinetiQ
Department: Surgery and Oncology
Organisation: University of Dundee
Scheme: Standard Research (Pre-FEC)
Starts: 08 May 2003 Ends: 07 August 2006 Value (£): 63,859
EPSRC Research Topic Classifications:
Optoelect. Devices & Circuits
EPSRC Industrial Sector Classifications:
Healthcare
Related Grants:
GR/S09951/01
Panel History:  
Summary on Grant Application Form
Accidental damage to tissue can occur during energy-assisted laparoscopic (keyhole) surgery. This can lead to complications that may warrant further surgery down the line. Thermal collateral damage is often the root of the problem and a promising countermeasure lies in the development of infrared endoscopy in the 3-5 micron range. This offers the possibility for real time monitoring of output power via measurement of the associated collateral spread. In this way, power levels can be regulated and tailored to specific tissues.The proposal focuses on the design and construction of an infrared transmitting relay stage that can integrate directly to our existing IR detector hardware. Whilst the principal application will be with the in-situ assessment and monitoring of thermal spread, the instrument's inherent sensitivity will render it versatile enough to provide useful anatomical information that will aid localisation and assessment of particular vessels/tissues. Further, the enhanced vascular structure associated with tumours means that they appear hotter than background tissue, and may thus be identified and staged using infrared endoscopy. Finally, we will explore the possilbities of using novel mid-wave IR optical parametric oscillator sources with applications in fluorescence endoscopy (for pin-pointing small tumours) and also the ablation of sub-surface tumours. Procedures will be optimised using finite element based mathematical models that we will validate using thermographic data.
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Further Information:  
Organisation Website: http://www.dundee.ac.uk