Imperial College London

DrBennyLo

Faculty of MedicineDepartment of Metabolism, Digestion and Reproduction

Visiting Reader
 
 
 
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Contact

 

+44 (0)20 7594 0806benny.lo Website

 
 
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Location

 

Bessemer BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Berthelot:2018:10.1109/BSN.2018.8329665,
author = {Berthelot, M and Yang, G-Z and Lo, B},
doi = {10.1109/BSN.2018.8329665},
pages = {86--89},
publisher = {IEEE},
title = {Tomographic probe for perfusion analysis in deep layer tissue},
url = {http://dx.doi.org/10.1109/BSN.2018.8329665},
year = {2018}
}

RIS format (EndNote, RefMan)

TY  - CPAPER
AB - Continuous buried soft tissue free flap postoperative monitoring is crucial to detect flap failure and enable early intervention. In this case, clinical assessment is challenging as the flap is buried and only implantable or hand held devices can be used for regular monitoring. These devices have limitations in their price, usability and specificity. Near-infrared spectroscopy (NIRS) has shown promising results for superficial free flap postoperative monitoring, but it has not been considered for buried free flap, mainly due to the limited penetration depth of conventional approaches. A wearable wireless tomographic probe has been developed for continuous monitoring of tissue perfusion at different depths. Using the NIRS method, blood flow can be continuously measured at different tissue depths. This device has been designed following conclusions of extensive computerised simulations and it has been validated using a vascular phantom.
AU - Berthelot,M
AU - Yang,G-Z
AU - Lo,B
DO - 10.1109/BSN.2018.8329665
EP - 89
PB - IEEE
PY - 2018///
SN - 2376-8886
SP - 86
TI - Tomographic probe for perfusion analysis in deep layer tissue
UR - http://dx.doi.org/10.1109/BSN.2018.8329665
UR - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000492758000022&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR - https://ieeexplore.ieee.org/document/8329665
UR - http://hdl.handle.net/10044/1/75183
ER -