Efficient processing of laser speckle contrast images

W. James Tom; Adrien Ponticorvo; Andrew K. Dunn

doi:10.1109/TMI.2008.925081

Efficient processing of laser speckle contrast images

W. James Tom, Adrien Ponticorvo, Andrew K. Dunn

Research output: Contribution to journal › Article › peer-review

69 Scopus citations

Abstract

Though laser speckle contrast imaging enables the measurement of scattering particle dynamics with high temporal resolution, the subsequent processing has previously been much slower. In prior studies, generating a laser speckle contrast image required about 1 s to process a raw image potentially collected in 10 ms or less. In this paper, novel algorithms are described which are demonstrated to convert 291 raw images per second to laser speckle contrast images and as many as 410 laser speckle contrast images per second to relative correlation time images. As long as image processing occurs during image acquisition, these algorithms render processing time irrelevant in most circumstances and enable real-time imaging of blood flow dynamics.

Original language	English (US)
Article number	4520154
Pages (from-to)	1728-1738
Number of pages	11
Journal	IEEE Transactions on Medical Imaging
Volume	27
Issue number	12
DOIs	https://doi.org/10.1109/TMI.2008.925081
State	Published - Dec 2008
Externally published	Yes

Keywords

Biomedical image processing
Blood flow
Blood vessels
Optical imaging
Speckle

ASJC Scopus subject areas

Software
Radiological and Ultrasound Technology
Computer Science Applications
Electrical and Electronic Engineering

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10.1109/TMI.2008.925081

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title = "Efficient processing of laser speckle contrast images",

abstract = "Though laser speckle contrast imaging enables the measurement of scattering particle dynamics with high temporal resolution, the subsequent processing has previously been much slower. In prior studies, generating a laser speckle contrast image required about 1 s to process a raw image potentially collected in 10 ms or less. In this paper, novel algorithms are described which are demonstrated to convert 291 raw images per second to laser speckle contrast images and as many as 410 laser speckle contrast images per second to relative correlation time images. As long as image processing occurs during image acquisition, these algorithms render processing time irrelevant in most circumstances and enable real-time imaging of blood flow dynamics.",

keywords = "Biomedical image processing, Blood flow, Blood vessels, Optical imaging, Speckle",

author = "Tom, {W. James} and Adrien Ponticorvo and Dunn, {Andrew K.}",

note = "Funding Information: Manuscript received April 2, 2008; revised April 21, 2008. Current version published November 21, 2008. This work was supported by the National Institutes of Health under Grant NS050150, in part by the American Heart Association under Grant 0735136N, and in part by the National Science Foundation under Grant CBET/0737731. Asterisk indicates corresponding author. *W. J. Tom is with the Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712 USA (e-mail: wjtom@mail.utexas. edu).",

year = "2008",

month = dec,

doi = "10.1109/TMI.2008.925081",

language = "English (US)",

volume = "27",

pages = "1728--1738",

journal = "IEEE Transactions on Medical Imaging",

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AU - Tom, W. James

AU - Ponticorvo, Adrien

AU - Dunn, Andrew K.

N1 - Funding Information: Manuscript received April 2, 2008; revised April 21, 2008. Current version published November 21, 2008. This work was supported by the National Institutes of Health under Grant NS050150, in part by the American Heart Association under Grant 0735136N, and in part by the National Science Foundation under Grant CBET/0737731. Asterisk indicates corresponding author. *W. J. Tom is with the Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712 USA (e-mail: wjtom@mail.utexas. edu).

PY - 2008/12

Y1 - 2008/12

N2 - Though laser speckle contrast imaging enables the measurement of scattering particle dynamics with high temporal resolution, the subsequent processing has previously been much slower. In prior studies, generating a laser speckle contrast image required about 1 s to process a raw image potentially collected in 10 ms or less. In this paper, novel algorithms are described which are demonstrated to convert 291 raw images per second to laser speckle contrast images and as many as 410 laser speckle contrast images per second to relative correlation time images. As long as image processing occurs during image acquisition, these algorithms render processing time irrelevant in most circumstances and enable real-time imaging of blood flow dynamics.

AB - Though laser speckle contrast imaging enables the measurement of scattering particle dynamics with high temporal resolution, the subsequent processing has previously been much slower. In prior studies, generating a laser speckle contrast image required about 1 s to process a raw image potentially collected in 10 ms or less. In this paper, novel algorithms are described which are demonstrated to convert 291 raw images per second to laser speckle contrast images and as many as 410 laser speckle contrast images per second to relative correlation time images. As long as image processing occurs during image acquisition, these algorithms render processing time irrelevant in most circumstances and enable real-time imaging of blood flow dynamics.

KW - Biomedical image processing

KW - Blood flow

KW - Blood vessels

KW - Optical imaging

KW - Speckle

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Efficient processing of laser speckle contrast images

Abstract

Keywords

ASJC Scopus subject areas

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