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Proceedings Paper

Laser speckle contrast analysis (LASCA): a real-time solution for monitoring capillary blood flow and velocity
Author(s): Xiao-Wei He; J. David Briers
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Paper Abstract

To realize a non-contact, non-invasive and fast measurement of skin blood flow, we have developed the laser speckle contrast analysis (LASCA) technique. The LASCA method is a spatial domain method, based on the aggregate of pixels composing a captured laser speckle image. The contrast calculation operates directly on these pixels. In this paper, we present the computer algorithms to achieve a real-time solution for monitoring capillary blood flow and velocity. First, we present an improved naive LASCA algorithm with the running time O(k2n), where n is the total number of pixels and k X k represents the size of the subimage considered. Then, we describe a fast LASCA algorithm, which takes time O(kn) to calculate the local contrasts. Finally, we use the fast sequential algorithm to design the first LASCA parallel algorithm to run on the CREW PRAM with the running time O(k/p n), where p is the number of processors. Experimental result shows that, to process a laser speckle image with the size of 640 X 480, it takes only about one second using the fast LASCA algorithm. Furthermore, our parallel algorithm is easily implemented to run under the Windows NT environment by using multi-threads technique.

Paper Details

Date Published: 3 July 1998
PDF: 10 pages
Proc. SPIE 3337, Medical Imaging 1998: Physiology and Function from Multidimensional Images, (3 July 1998); doi: 10.1117/12.312554
Show Author Affiliations
Xiao-Wei He, Kingston Univ. (United Kingdom)
J. David Briers, Kingston Univ. (United Kingdom)


Published in SPIE Proceedings Vol. 3337:
Medical Imaging 1998: Physiology and Function from Multidimensional Images
Eric A. Hoffman, Editor(s)

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