Monte Carlo Modeling and Design of a High-Resolution Hyperspectral Computed Tomography System with a Multi-Material Patterned Anodes for Material Identification Applications
Abstract not provided.
Publications
Monte-Carlo Modeling and Design of a High-Resolution Hyperspectral Computed Tomography System with a Multi-Material Patterned Anodes for Material Identification Applications
Abstract not provided.
Material identification with multichannel radiographs
AIP Conference Proceedings
This work aims to validate previous exploratory work done to characterize materials by matching their attenuation profiles using a multichannel radiograph given an initial energy spectrum. The experiment was performed in order to evaluate the effects of noise on the resulting attenuation profiles, which was ignored in simulation. Spectrum measurements have also been collected from various materials of interest. Additionally, a MATLAB optimization algorithm has been applied to these candidate spectrum measurements in order to extract an estimate of the attenuation profile. Being able to characterize materials through this nondestructive method has an extensive range of applications for a wide variety of fields, including quality assessment, industry, and national security.
Developing Imaging Capabilities of Multi-Channel Detectors Comparable to Traditional X-Ray Detector Technology for Industrial and Security Applications
Abstract not provided.
Material Identification with Multichannel Radiographs
Abstract not provided.
Developing imaging capabilities of multi-channel detectors comparable to traditional x-ray detector technology for industrial and security applications
Proceedings of SPIE - The International Society for Optical Engineering
This work will investigate the imaging capabilities of the Multix multi-channel linear array detector and its potential suitability for big-data industrial and security applications versus that which is currently deployed. Multi-channel imaging data holds huge promise in not only finer resolution in materials classification, but also in materials identification and elevated data quality for various radiography and computed tomography applications. The potential pitfall is the signal quality contained within individual channels as well as the required exposure and acquisition time necessary to obtain images comparable to those of traditional configurations. This work will present results of these detector technologies as they pertain to a subset of materials of interest to the industrial and security communities; namely, water, copper, lead, polyethylene, and tin.
An Experiment for Material Classification using Multichannel Radiographs
Abstract not provided.
7 Results