Abstract: A method of processing ultrasound data includes receiving ultrasound data for a first ultrasound image, the first ultrasound image being represented as a first set of discrete pixels corresponding to positions of a region of interest; receiving ultrasound data for a second ultrasound image, the second ultrasound image being represented as a second set of discrete pixels corresponding to positions of the region of interest; generating a displacement map by minimizing a cost function using a dynamic programming procedure that identifies each of the first set of discrete pixels with a corresponding one of the second set of discrete pixels; refining the displacement map to obtain intermediate displacement values corresponding to positions between the discrete pixels based on minimizing a local approximation to the cost function; and calculating a physical property of the region of interest based on the displacement map.

Abstract: Disclosed is a system and method for computing out of plane motion between two ultrasound images. The method identifies regions of fully developed speckle that are common to the two images, computes a correlation coefficient corresponding to the two fully developed speckle image regions, and then computing an elevation distance corresponding to the correlation coefficient. The method exploits the measurable and characterizable relation between inter-image correlation and elevation distance, which may be determined from fully developed speckle regions. The method also identifies regions within the ultrasound images related to structure (e.g., vein or bone), and disregards these regions.

Abstract: A method of processing ultrasound data includes receiving ultrasound data for a first ultrasound image, the first ultrasound image being represented as a first set of discrete pixels corresponding to positions of a region of interest; receiving ultrasound data for a second ultrasound image, the second ultrasound image being represented as a second set of discrete pixels corresponding to positions of the region of interest; generating a displacement map by minimizing a cost function using a dynamic programming procedure that identifies each of the first set of discrete pixels with a corresponding one of the second set of discrete pixels; refining the displacement map to obtain intermediate displacement values corresponding to positions between the discrete pixels based on minimizing a local approximation to the cost function; and calculating a physical property of the region of interest based on the displacement map.

Abstract: Disclosed is a system and method for computing out of plane motion between two ultrasound images. The method identifies regions of fully developed speckle that are common to the two images, computes a correlation coefficient corresponding to the two fully developed speckle image regions, and then computing an elevation distance corresponding to the correlation coefficient. The method exploits the measurable and characterizable relation between inter-image correlation and elevation distance, which may be determined from fully developed speckle regions. The method also identifies regions within the ultrasound images related to structure (e.g., vein or bone), and disregards these regions.

Abstract: Disclosed is a system and method for computing ultrasound 3D elasticity images. The method includes acquiring ultrasound RF data in a rest state, in which substantially no pressure is applied to a tissue medium, and acquiring ultrasound data in a stressed state, in which pressure is applied to a tissue medium having an aberration, and computing a measured displacement image from the two RF data sets. The method also includes computing an initial estimated displacement image, which is derived from a 3D elasticity model. The method further includes computing an optimization loop, wherein the initial estimated displacement image is adjusted to converge on the measured displacement image. The optimized estimated displacement image is then segmented and superimposed over the rest state ultrasound image. Further, the original 3D elasticity model is adjusted to match the optimized estimated displacement image.