Imperial College London

Professor Dan Elson

Faculty of MedicineDepartment of Surgery & Cancer

Professor of Surgical Imaging
 
 
 
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Contact

 

+44 (0)20 7594 1700daniel.elson Website

 
 
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Location

 

415 Bessemer BuildingBessemer BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Song:2018:2040-8986/aac4be,
author = {Song, L and Wang, X and Zhang, R and Zhang, K and Zhou, Z and Elson, DS},
doi = {2040-8986/aac4be},
journal = {JOURNAL OF OPTICS},
title = {Improving temporal resolution and speed sensitivity of laser speckle contrast analysis imaging based on noise reduction with an anisotropic diffusion filter},
url = {http://dx.doi.org/10.1088/2040-8986/aac4be},
volume = {20},
year = {2018}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - The fluctuation of contrast caused by statistical noise degenerates the temporal/spatial resolution of laser speckle contrast imaging (LSCI) and limits the maximum speed when imaging. In this study, we investigated the application of the anisotropic diffusion filter (ADF) to temporal LSCI and found that the edge magnitude parameter of the ADF can be determined by the mean of the contrast image. Because the edge magnitude parameter is usually denoted as K, we term this the K-constant ADF (KC-ADF) and show that temporal sensitivity is improved when imaging because of the enhanced signal-to-noise ratio when using the KC-ADF in small-animal experiments. The cardiac cycle of a rat as high as 390 bpm can be imaged with an industrial camera.
AU - Song,L
AU - Wang,X
AU - Zhang,R
AU - Zhang,K
AU - Zhou,Z
AU - Elson,DS
DO - 2040-8986/aac4be
PY - 2018///
SN - 2040-8978
TI - Improving temporal resolution and speed sensitivity of laser speckle contrast analysis imaging based on noise reduction with an anisotropic diffusion filter
T2 - JOURNAL OF OPTICS
UR - http://dx.doi.org/10.1088/2040-8986/aac4be
UR - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000433910300001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR - http://hdl.handle.net/10044/1/60799
VL - 20
ER -