Intel Corporation

University System of Maryland

The Cleveland Clinic Foundation

Carlos R Castro-Pareja

Raj Shekhar

Jogikal M Jagadeesh

Omkar S Dandekar

Allan Xiao Yu Gu

Improved masks for double patterning lithography are described. In one example, conflict spaces between features of a target design are identified. The conflict spaces are represented as nodes of a graph. Connections are inserted between nodes based on a local search. The connections are cut to determine double patterning mask assignment. The connections are extended to form a checkerboard that is then overlayed on the target mask design to split the features of the target mask design for double patterning.

Masks for double patterning photolithography

Techniques for accelerated elastic registration include receiving reference scan data and floating scan data, and a first transformation for mapping coordinates of scan elements from the first scan to coordinates of scan elements in the second scan. A subset of contiguous scan elements is determined. At least one of several enhancements is implemented. In one enhancement cubic spline interpolation is nested by dimensions within a subset. In another enhancement, a local joint histogram of mutual information based on the reference scan data and the floating scan data for the subset is determined and subtracted from an overall joint histogram to determine a remainder joint histogram. Each subset is then transformed, used to compute an updated local histogram, and added to the remainder joint histogram to produce an updated joint histogram. In another enhancement, a measure of similarity other than non-normalized mutual information is derived from the updated joint histogram.

Method and apparatus for accelerated elastic registration of multiple scans of internal properties of a body

A system architecture is disclosed that facilitates rapid execution of 3D registration or alignment algorithms. A first image module (e.g., RAM) is included to store data corresponding to images to be registered. A processor coupled to the first storage module accesses the data and determined mutual histogram (MH) values which are then used to compute mutual information (MI) between the images. The processor accumulates the MH values in a second image module. The second storage module is accessible so that registered images can be displayed. The architecture is scalable facilitating distributed calculations to speed-up the registration process.

Growing community of inventors

Aloha, OR, United States of America

Carlos R Castro-Pareja