Awards Information

DESCRIPTION provided by applicant This project will develop a commercial product that will enable for the first time realtime tumor tracking during radiotherapy at an attractive price point and with minimal interference with standard clinical practice The key novel technology is an optimized multi source X ray tube with focal spots that is placed below the multi leaf collimator MLC of a r ...

DESCRIPTION provided by applicant This project will lead to the development of an optimized X ray tube with focal spots that can be placed immediately below and around the multi leaf collimator MLC of a radiotherapy system By steering a focused electron beam e beam on a series of cooled tungsten targets in sequence this system will provide a set of projection images that can be reco ...

The X-ray intensity as measured by detectors depends on all aspects of the imaging system ranging from the source spectrum to various scatter events during the photon transport. The proposed simulator models the entire X-ray detection process from photon generation to various scatter events to the eventual detection of transmitted/scattered photons. In particular, the simulator models the two impo ...

For Phase II work, we propose to complete the development of the DICOS compliant ATR algorithm whose feasibility has been demonstrated by results of Phase I work. Important project milestones for the first base year of Phase II are as follows: (1) implementation of the DICOS standard including network protocol, (2) improvement of the proposed ATR algorithm in terms of explosive detection performan ...

This Phase I proposal describes the development of an Automatic Threat Recognition (ATR) algorithm for volumetric CT data. Our ATR algorithm consists of four stages: (1) preprocessing of CT data, (2) object segmentation of preprocessed CT data, (3) post-processing of segmentation results, and (4) explosive detection from the segmented objects. The ATR algorithm will be made computationally efficie ...

This Phase I proposal describes (1) an automated image quality assessment (IQA) software to objectively quantify image quality of airport security X-ray imaging systems for both checked and carry-on baggage and (2) a design for a novel test phantom specialized for security CT scanners. For fixed images, automated algorithms will measure the Modulation Transfer Function (MTF) and Contrast-to-Noise ...