DocumentCode :
3529396
Title :
Multimodality tissue identification for neurosurgery: the NASA Smart Probe project
Author :
Andrews, E. ; Mah, R. ; Jeffrey, S. ; Aghevli, A. ; Freitas, K. ; Guerrero, M. ; Papasin, R. ; Reed, C.
fYear :
2000
fDate :
2000
Firstpage :
153
Lastpage :
157
Abstract :
Real-time tissue identification can benefit procedures such as stereotactic brain biopsy, functional neurosurgery, and brain tumor excision. Optical scattering spectroscopy has been shown effective at discriminating cancer from non-cancerous conditions in the colon, bladder, and breast. The NASA Smart Probe extends the concept of "optical biopsy" by using neural network techniques to combine the output from three microsensors contained within a cannula 2.7 mm in diameter (i.e. the diameter of a stereotactic brain biopsy needle). Experimental data from five rats show the clear differentiation between tissues such as brain, nerve, fat, artery, and muscle that can be achieved with optical scattering spectroscopy alone. These data and previous findings with other modalities such as (1) analysis of the image from a fiberoptic neuroendoscope and (2) the output from a micro strain gauge suggest the Smart Probe multiple microsensor technique shows promise for real-time tissue identification in neurosurgical procedures
Keywords :
biological tissues; biomedical transducers; brain; fibre optic sensors; microsensors; probes; strain gauges; surgery; tumours; visible spectroscopy; 2.7 mm; NASA Smart Probe project; Smart Probe multiple microsensor technique; artery; brain tumor excision; cancer; fat; fiberoptic neuroendoscope; functional neurosurgery; micro strain gauge; multimodality tissue identification; muscle; neural network techniques; neurosurgery; optical biopsy; optical scattering spectroscopy; real-time tissue identification; stereotactic brain biopsy; Biopsy; Breast neoplasms; Cancer; Colon; Microsensors; NASA; Neurosurgery; Optical scattering; Probes; Spectroscopy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applied Imagery Pattern Recognition Workshop, 2000. Proceedings. 29th
Conference_Location :
Washington, DC
Print_ISBN :
0-7695-0978-9
Type :
conf
DOI :
10.1109/AIPRW.2000.953618
Filename :
953618
Link To Document :
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