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: An augmentation device for an imaging system has a bracket structured to be attachable to an imaging component, and a projector attached to the bracket. The projector is arranged and configured to project an image onto a surface in conjunction with imaging by the imaging system. A system for image-guided surgery has an imaging system, and a projector configured to project an image or pattern onto a region of interest during imaging by the imaging system. A capsule imaging device has an imaging system, and a local sensor system. The local sensor system provides information to reconstruct positions of the capsule endoscope free from external monitoring equipment.

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.