2008
DOI: 10.1038/sj.jid.5700991
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The Importance of Long-Term Monitoring to Evaluate the Microvascular Response to Light-Based Therapies

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Cited by 46 publications
(66 citation statements)
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“…The relative blood flow is equivalent to the inverse of the correlation time (1/s c ) and, thus, a speckle flow index (SFI) map is computed. For this study, we set the value of T to 10 milliseconds which was selected based on flow phantom experiments performed previously [7].…”
Section: Speckle Image Processingmentioning
confidence: 99%
See 1 more Smart Citation
“…The relative blood flow is equivalent to the inverse of the correlation time (1/s c ) and, thus, a speckle flow index (SFI) map is computed. For this study, we set the value of T to 10 milliseconds which was selected based on flow phantom experiments performed previously [7].…”
Section: Speckle Image Processingmentioning
confidence: 99%
“…Laser Doppler flowmetry and laser Doppler imaging, both established methods in studies of microvascular skin characterization, are limited by the need for mechanical scanning of the probe laser beam, resulting in long (on the order of minute) image collection times. We instead propose use of laser speckle imaging (LSI) [6][7][8][9] to provide real-time, quantitative feedback during laser surgery. LSI relies on acquisition and analysis of a single image captured at an exposure time that is considerably longer than a characteristic correlation time associated with the fluctuation frequency.…”
Section: Introductionmentioning
confidence: 99%
“…A queue buffer allows the transfer of data between different parts of a block diagram-in this case, the two while loops. As soon as an image 5 LabVIEW pseudocode used to acquire and process data from the camera. Two for loops are employed such that images can be processed while newer images are acquired.…”
Section: Real-time Labview Lsi Visualization With Gpu Integrationmentioning
confidence: 99%
“…Recently, LSI has found uses in monitoring blood flow in the brain, 2 retina, 3 and skin. 4,5 Conversion of raw laser speckle images to speckle contrast (SC) and speckle flow index (SFI) images is computationally intensive and CPU-based algorithms are not well suited for realtime processing of high-resolution images, let alone real-time visualization of the postprocessed images. One of the reasons for the slow processing times is that the architecture of modern CPUs is optimized for execution of sequential code, with only a fraction of CPU transistors dedicated to arithmetic operations.…”
Section: Introductionmentioning
confidence: 99%
“…The relative blood flow is equivalent to the inverse of the correlation time (1/τ c ) and, thus, a speckle flow index (SFI) map is computed. For this study, we set the value of T to 10 milliseconds which was selected based on flow phantom experiments performed previously [7].…”
Section: Speckle Image Processingmentioning
confidence: 99%