Algotec Systems Ltd.

Cisco Technology, Inc.

Gad Miller

Shmuel Akerman

Ido Milstein

Hadar Porat

Laurent Cohen

Jean-Philippe Vasseur

Grégory Mermoud

Jürg Nicolaus Diemand

In one embodiment, a device predicts, for each of a set of paths via which traffic for an online application can be routed, a distribution of an application experience metric for the online application. The device computes, for different subsets of the set of paths, aggregated distributions of their distributions of the application experience metric predicted by the device. The device makes comparisons between the aggregated distributions for the different subsets of the set of paths. The device causes, based on the comparisons, the traffic for the online application to be routed via a particular subset of the set of paths.

Adaptive selection of network paths based on long-term predictions of user experience

A method of centerline determination for a tubular tissue in a medical image data set defined in a data space, comprising receiving at least one start point and one end point inside a tubular tissue volume; automatically determining a path between said points that remains inside said volume; automatically segmenting said tubular tissue using said path; and automatically determining a centerline for said tubular tissue from said segmentation, wherein said receiving, said determining a path and said segmenting, said determining a centerline are all performed on a same data space of said medical image data set.

Vessel centerline determination

A method of finding a path from a start point to a target point, in multi-dimensional space, including: (a) determining a plurality of points in a physical space, including a start point and an target point; (b) computing, using a cost function, for said points an accumulated path cost from the start point to a point; representing a minimal cost path from the start point to the point with respect to an optimization criteria; (c) computing for at least some of said points an estimated-cost-to-target from a point to the target point; and (d) after computing said costs, determining at least one of a minimal path or a minimal path cost of a path from the start point to the target point in the physical space, wherein the determination is based on said accumulated path costs, and is minimal with respect to the optimization criteria.

Targeted marching

A method of automatically identifying bone components in a medical image data set of voxels, the method comprising: a) applying a first set of one or more tests to accept voxels as belonging to seeds, b) applying a second set of one or more tests to accept seeds as bone seeds, and c) expanding the bone seeds into bone components by progressively identifying candidate bone voxels, adjacent to the bone seeds or to other previously identified bone voxels, as bone voxels, responsive to predetermined criteria which distinguish bone voxels from voxels of other body tissue.

Bone segmentation

A method of automatically identifying bone components in a medical image data set of voxels, the method comprising:

A method for forming a high spatial resolution perspective rendering from a low spatial resolution voxel space is disclosed. The method comprises steps of: a) initializing a virtual window of predetermined resolution pixels, and placing the virtual window in or near the voxel space; b) sparsely ray-casting a plurality of vectors from a predetermined vantage-point through the virtual window into the voxel space; and c) calculating a visualization-value at a series of positions along each vector. In a position ordering of steps from the vantage-point to the pixel, an accumulated transparency-value threshold is calculated. Values of proximate voxels are interpolated into an interpolated voxel value for each position. The interpolated voxel values are then transformed into a derived visualization-value and transparency value.

Method of forming a perspective rendering from a voxel space

A method of determining a z-buffer for a voxel data set, comprising first raycasting at least a first ray to determine a value for a first z-buffer element; and second raycasting at least a second ray to determine a value for a second z-buffer element, where said z-buffer element values are determined at different accuracies, which different accuracies are responsive to characteristics of the data set at a neighborhood of said rays. Preferably, said different accuracies are achieved by modifying the accuracy of determination of an intersection between a cast ray and a solid voxel of said data set. Alternatively or additionally, said different accuracies are achieved by modifying the density of raycasting into the z-buffer.

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Paris, France

Gad Miller