NDLI: Biologically inspired microtexturing: Investigation into the surface topography of next-generation neurosurgical probes

Content Provider	IEEE Xplore Digital Library
Author	Frasson, L. Parittotokkaporn, T. Schneider, A. Davies, B.L. Vincent, J.F.V. Huq, S.E. Degenaar, P. Baena, F.M. Rodriguez
Copyright Year	2008
Description	Author affiliation: Faculty of Engineering, Imperial College London, SW7 2AZ, UK (Frasson, L.; Parittotokkaporn, T.; Davies, B.L.; Degenaar, P.; Baena, F.M. Rodriguez) \|\| Biomimetics at the Dept. of Mechanical Engineering, University of Bath, BA2 7AY, UK (Vincent, J.F.V.) \|\| Science and Technology Facilities Council, Rutherford Appleton Laboratory, Technology - Central Microstructure Facility, Harwell Science and Innovation Campus, Didcot, OX11 0QX, UK (Schneider, A.; Huq, S.E.)
Abstract	Minimally Invasive (MI) surgery represents the future of many types of medical intervention (keyhole neurosurgery, natural orifice trans-luminal endoscopic surgery, etc.). However, the shortcomings of today's surgical tools fuel the need for the development of next-generation “smart instrumentation”, which will be more accurate and safer for the patient. This paper presents the preliminary results of a biologically inspired microtexturing method, based on UV-lithography, and its application to MI neurosurgery. These results suggest that the size and geometry of the texture “printed” on the outer surface of a neurosurgical probe clearly affect the insertion and extraction forces generated at the brain-probe interface. Thus, by carefully choosing an appropriate microtexture, unique insertion characteristics can be obtained, which can improve the performance of existing instruments (e.g. reducing slippage in permanent electrodes such as those used in deep brain stimulation) or enable the development of novel designs altogether.
Starting Page	5611
Ending Page	5614
File Size	421911
Page Count	4
File Format	PDF
ISBN	9781424418145
ISSN	1557170X
DOI	10.1109/IEMBS.2008.4650486
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-08-20
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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