Please use this identifier to cite or link to this item: https://doi.org/10.1109/TMI.2007.892643
Title: New insights into image processing of cortical blood flow monitors using laser speckle imaging
Authors: Le, T.M. 
Paul, J.S.
Al-Nashash, H.
Tan, A.
Luft, A.R.
Sheu, F.S. 
Ong, S.H.
Keywords: Blood flow and perfusion
Laser speckle imaging
Medical image processing
Subjective and objective quality
Time-varying speckle
Issue Date: Jun-2007
Source: Le, T.M., Paul, J.S., Al-Nashash, H., Tan, A., Luft, A.R., Sheu, F.S., Ong, S.H. (2007-06). New insights into image processing of cortical blood flow monitors using laser speckle imaging. IEEE Transactions on Medical Imaging 26 (6) : 833-842. ScholarBank@NUS Repository. https://doi.org/10.1109/TMI.2007.892643
Abstract: Laser speckle imaging has increasingly become a viable technique for real-time medical imaging. However, the computational intricacies and the viewing experience involved limit its usefulness for real-time monitors such as those intended for neurosurgical applications. In this paper, we propose a new technique, tLASCA, which processes statistics primarily in the temporal direction using the laser speckle contrast analysis (LASCA) equation, proposed by Briers and Webster. This technique is thoroughly compared with the existing techniques for signal processing of laser speckle images, including, the spatial-based sLASCA and the temporal-based modified laser speckle imaging (mLSI) techniques. sLASCA is an improvement of the basic LASCA technique. In sLASCA, the derived contrasts are further averaged over a predetermined number of raw speckle images. mLSI, on the other hand, is the technique in which temporal statistics are processed using the equation described by Ohtsubo and Asakura. tLASCA preserves the original image resolution similar to mLSI. tLASCA outperforms sLASCA (window size M = 5) with faster convergence of K values (5.32 versus 20.56 s), shorter per-frame processing time (0.34 versus 2.51 s), and better subjective and objective quality evaluations of contrast images. tLASCA also outperforms mLSI with faster convergence of K values (5.32 s) compared to N values (10.44 s), shorter per-frame processing time (0.34 versus 0.91 s), smaller intensity fluctuations among frames (8%-10% versus 15%-35%), and better subjective and objective quality evaluations of contrast images. As laser speckle imaging becomes an important tool for real-time monitoring of blood flows and vascular perfusion, tLASCA is proven to be the technique of choice. © 2007 IEEE.
Source Title: IEEE Transactions on Medical Imaging
URI: http://scholarbank.nus.edu.sg/handle/10635/56799
ISSN: 02780062
DOI: 10.1109/TMI.2007.892643
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

44
checked on Dec 5, 2017

WEB OF SCIENCETM
Citations

24
checked on Nov 16, 2017

Page view(s)

48
checked on Dec 9, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.