摘要:
A method for visualization of ultrasound images comprises the steps of deriving ultrasound images of an object; freezing and storing in space and time selected ones of the images; displaying the selected ones of the images as a set; selectively freezing and adding to the set a further one of the images; and, optionally, selectively removing an image from the set.
摘要:
The present invention comprises using error propagation for building feature spaces with variable uncertainty and using variable-bandwidth mean shift for the analysis of such spaces, to provide peak detection and space partitioning. The invention applies these techniques to construct and analyze Hough spaces for line and geometrical shape detection, as well as to detect objects that are represented by peaks in the Hough space. This invention can be further used for background modeling by taking into account the uncertainty of the transformed image color and uncertainty of the motion flow. Furthermore, the invention can be used to segment video data in invariant spaces, by propagating the uncertainty from the original space and using the variable-bandwidth mean shift to detect peaks. The invention can be used in a variety of applications such as medical, surveillance, monitoring, automotive, augmented reality, and inspection.
摘要:
A method for local 3-dimensional (3D) reconstruction from 2-dimensional (2D) ultrasound images includes deriving a 2D image of an object; defining a target region within said 2D image; defining a volume scan period; during the volume scan period, deriving further 2D images of the target region and storing respective pose information for the further 2D images; and reconstructing a 3D image representation for the target region by utilizing the 2D images and the respective pose information.