Method for ultrasound motion tracking via synthetic speckle patterns
A method for measuring motion from biological imaging data including collecting non-carrier data images; patterning the non-carrier data images with synthetic carrier properties; and processing the patterned non-carrier data images with a carrier based motion tracking technique to generate images representing motion measurements. The method preferably converts images lacking a carrier signal to ones with a synthetic carrier signal such that highly accurate and robust speckle tracking can be achieved.
1. A method for measuring ultrasound image motion for biomedical applications comprising:
an ultrasound processor is programmed to perform:
acquiring ultrasound images without carrier properties;
applying at least one complex filter to the ultrasound images to generate a synthetic speckle pattern, the at least one complex filter comprising at least one unique pattern parameter identifying an aspect of the ultrasound images to which the at least one complex filter will be applied wherein the at least one unique pattern parameter is at least one of a center frequency parameter and a bandwidth parameter;
deriving artificial carrier properties for the images from the synthetic speckle pattern;
producing speckle tracking data with a speckle tracking algorithm operating on the images and the artificial carrier properties;
wherein the producing speckle tracking data includes:
producing a first set of speckle tracking data according to a first set of speckle tracking parameters to generate a first stage result; and
producing at least a second set of speckle tracking data according to a second set of speckle tracking parameters to generate a second stage result;
wherein producing at least a second set of speckle tracking data comprises using the first stage result
extracting motion tracking parameters from the speckle tracking data; and
creating images representing motions based on the motion parameters.
2. The method of claim 1 , wherein the ultrasound images comprise B-mode ultrasound images.
3. The method of claim 1 , wherein producing the speckle tracking data includes processing the first set in a first coordinate and processing the second set in at least a second coordinate.
4. The method of claim 1 , further comprising spatially resampling pixels of at least one ultrasound image to an optimal spatial order for the speckle tracking algorithm.
5. The method of claim 4 , further comprising remapping pixels of at least one ultrasound image to an optimal pixel value space of the speckle tracking algorithm.
6. The method of claim 1 , wherein generating the synthetic speckle pattern includes generating a first pattern in a first image coordinate; and wherein producing the speckle tracking data includes operating on at least one ultrasound image in the first image coordinate to generate a result in the first image coordinate.
7. The method of claim 6 , wherein generating the synthetic speckle pattern includes generating a second pattern in at least a second image coordinate, and wherein producing the speckle tracking data includes operating on at least one ultrasound image in at least the second image coordinate to generate a result in at least the second image coordinate.
8. The method of claim 7 , wherein generating the second pattern in at least a second image coordinate utilizes the result in the first image coordinate.