A transmissive laser speckle imaging technique for measuring deep tissue blood flow: An example application in finger joints

2011 ◽  
Vol 43 (1) ◽  
pp. 21-28 ◽  
Author(s):  
J.F. Dunn ◽  
K.R. Forrester ◽  
L. Martin ◽  
J. Tulip ◽  
R.C. Bray
2006 ◽  
Vol 24 (8) ◽  
pp. 1650-1659 ◽  
Author(s):  
R. C. Bray ◽  
K. R. Forrester ◽  
J. Reed ◽  
C. Leonard ◽  
J. Tulip

2019 ◽  
Vol 8 (2S8) ◽  
pp. 1413-1419

This paper aims to demonstrate the feasibility of using a low cost laser speckle imaging built for the detection of changes of tissue blood flow with different experimental conditions. Images of anterior portion of the wrist of four healthy adult volunteers illuminated by a laser source of wavelength 650 nm were collected via a monochromatic charge-coupled device (CCD) imager. The mean and standard deviation (SD) of blood flow perfusion was predicted as 3.92 ± 1.47 and 2.90 ± 1.39, respectively, for measurements at rest condition and during blood flow occlusion. This work showed the ability of the developed system to detect changes in blood flow perfusion with differences in the experimental conditions. However, further works are required to further confirm the suitability of the system before it is used for different clinical applications such as monitoring of blood flow during diabetic foot ulcers healing following standard medical treatment.


2019 ◽  
Vol 9 (1) ◽  
Author(s):  
J. Buijs ◽  
J. van der Gucht ◽  
J. Sprakel

Abstract Laser speckle imaging is a powerful imaging technique that visualizes microscopic motion within turbid materials. At current two methods are widely used to analyze speckle data: one is fast but qualitative, the other quantitative but computationally expensive. We have developed a new processing algorithm based on the fast Fourier transform, which converts raw speckle patterns into maps of microscopic motion and is both fast and quantitative, providing a dynamnic spectrum of the material over a frequency range spanning several decades. In this article we show how to apply this algorithm and how to measure a diffusion coefficient with it. We show that this method is quantitative and several orders of magnitude faster than the existing quantitative method. Finally we harness the potential of this new approach by constructing a portable laser speckle imaging setup that performs quantitative data processing in real-time on a tablet.


Author(s):  
Qingming Luo ◽  
Haiying Cheng ◽  
Zheng Wang ◽  
Valery V. Tuchin

2011 ◽  
Vol 16 (8) ◽  
pp. 086011 ◽  
Author(s):  
Minheng Li ◽  
Peng Miao ◽  
Yisheng Zhu ◽  
Shanbao Tong

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