US2015049178A1PendingUtilityA1
Methods of producing laser speckle contrast images
Est. expiryFeb 17, 2029(~2.6 yrs left)· nominal 20-yr term from priority
G06T 5/009A61B 5/0261G06T 2207/20048G06T 2207/30104A61B 5/0059A61B 5/02028A61B 5/7257G02B 27/48G06T 5/92
47
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Claims
Abstract
Methods of imaging are provided. In some embodiments, the methods may comprise obtaining a raw speckle image of a sample, converting the raw speckle image to a laser speckle contrast image using a laser speckle contrast algorithm, and converting a laser speckle contrast image to a relative correlation time image using a relative correlation time algorithm.
Claims
exact text as granted — not AI-modifiedWhat is claimed is:
1 . A method comprising:
obtaining a raw speckle image of a sample; converting the raw speckle image to a laser speckle contrast image using a laser speckle contrast algorithm; and converting the laser speckle contrast image to a relative correlation time image using a relative correlation time algorithm.
2 . The method of claim 1 wherein the laser speckle contrast algorithm is a direct algorithm, a sums algorithm, a fast Fourier transform-based convolution algorithm, a roll algorithm, or a vectorized algorithm.
3 . The method of claim 1 wherein the laser speckle contrast algorithm is a threaded algorithm.
4 . The method of claim 3 wherein the threaded algorithm is a mean threading algorithm, a split method algorithm, or a non-redundant method algorithm.
5 . The method of claim 1 wherein the relative correlation time algorithm is a Newton method algorithm, a table method algorithm, a hybrid method algorithm, or an asymptote method algorithm.
6 . The method of claim 1 wherein converting the raw speckle image to a laser speckle contrast image occurs at a rate greater than or equal to 100 images per second.
7 . The method of claim 1 wherein converting the laser speckle contrast image to the relative correlation time image occurs at a rate greater than or equal to 200 images per second.
8 . The method of claim 1 wherein single instruction multiple data operations are used to implement the laser speckle contrast algorithm, the relative correlation time algorithm, or both.
9 . The method of claim 1 wherein obtaining a raw speckle image of a sample comprises providing coherent light to a sample and detecting the light using a photodetector.
10 . A method comprising:
obtaining a raw speckle image of a sample; converting the raw speckle image to a laser speckle contrast image using a laser speckle contrast algorithm; and converting the laser speckle contrast image to a relative correlation time image using a relative correlation time algorithm selected from the group consisting of a Newton method algorithm, a table method algorithm, a hybrid method algorithm, or an asymptote method algorithm.
11 . The method of claim 10 wherein converting the raw speckle image to a laser speckle contrast image occurs at a rate greater than or equal to 100 images per second.
12 . The method of claim 10 wherein converting the laser speckle contrast image to the relative correlation time image occurs at a rate greater than or equal to 200 images per second.
13 . A laser speckle contrast imaging system comprising:
a laser light source; a detector for the measurement of reflected light comprising at least one camera and at least one magnification objective; a microprocessor or data acquisition unit; and a memory, the memory including executable instructions that, when executed, cause the microprocessor or data acquisition unit to convert a raw speckle image to a laser speckle contrast image using a laser speckle contrast algorithm.
14 . The system of claim 13 wherein the memory further includes executable instructions, that when executed, cause the microprocessor or data acquisition unit to convert the laser speckle contrast image to a relative correlation time image using a relative correlation time algorithm.Join the waitlist — get patent alerts
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