Intel Corporation

University System of Maryland

Omkar S Dandekar

Vivek K Singh

Raj Shekhar

Bikram Baidya

Carlos R Castro-Pareja

Hale Erten

Bikram Baidva

Photolithography mask synthesis is disclosed for spacer patterning masks. In one example, backbone features are extracted from a target layout of a mask design. A connectivity graph is generated based on the target layout in which lines of the backbone features are represented as nodes on the connectivity graph. The nodes are connected based on spacer patterning process limitations and the connections are assigned to sets. A backbone mask layout is then generated based on one of the sets of nodes.

Photolithography mask synthesis for spacer patterning

A photolithography mask design is simplified. In one example, a target mask design is optimized for a photolithography mask. Medial axes of the design and assist features on the optimized mask are identified. These are simplified to lines. Lines that are distant from a respective design feature are pruned. The remaining lines are simplified and then thickened to form assist features.

Photolithography mask design simplification

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

Medical imaging often involves the collective use of information presented in multiple images of an individual, such as images generated through different imaging modalities (X-ray, CT, PET, etc.) The use of a composite of these images may involve image registration to adjust for the variable position and orientation discrepancies of the individual during imaging. However, registration may be complicated by soft tissue deformation between images, and implementations (particularly pure software implementations) of the mathematical models used in image registration may be computationally complex and may require up to several hours. Hardware architectures are presented that apply the mathematical techniques in an accelerated manner, thereby providing near-realtime image registration that may be of particular use for the short timeframe requirements of surgical environments. The composite image generated thereby may be used to target anatomic features of interest during various medical procedures, including surgical procedures. Moreover, such techniques may be applied to computationally difficult image processing techniques, such as the display of a composite image based at least in part on a PET image, which may otherwise be difficult to utilize in a time-sensitive manner such as a surgical setting.

Growing community of inventors

Hillsboro, OR, United States of America

Omkar S Dandekar