X-ray measurement model and information-theoretic system metric incorporating material variability (Conference Presentation)

Masoudi, Ahmad; Voris, Jay; Coccarelli, David; Greenberg, Joel A.; Gehm, Michael E.; Ashok, Amit

doi:10.1117/12.2307242

Cited by 4 publications

(5 citation statements)

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“…at. [7] incorporated the Poisson distribution in an energy-uncorrelated model. Their model performances better than our model, when shot noise is dominating and material variation is not important.…”

Section: Discussionmentioning

confidence: 99%

“…at. [7] improved the model by incorporating material variability under the assumption of energy (statistical) independence. However, the energy-correlations are intrinsic in X-ray attenuation and cannot be ultimately ignored.…”

Section: Introductionmentioning

confidence: 99%

“…Each vial contains 4 materials, which is randomly sampled from a library of materials. The lengths of the vials are randomly chosen between 0.5 cm to 20 cm.A material library and a variability model of the material composition has been previously developed[7]. The material library contains 25 threat materials and 33 non-threat materials.…”

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confidence: 99%

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X-ray measurement model incorporating energy-correlated material variability and its application in information-theoretic system analysis

Ding¹,

Ashok²

2020

Preprint

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Extending our prior work, we propose a multi-energy X-ray measurement model incorporating material variability with energy correlations to enable the analysis and exploration of the performance of X-ray imaging and sensing systems. Based on this measurement model, we provide analytical expressions for bounds on the probability of error, P e , to quantify the performance limits of an X-ray measurement system for binary classification task. We analyze the performance of a prototypical X-ray measurement system to demonstrate the utility of our proposed material variability measurement model.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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X-ray measurement model incorporating energy-correlated material variability and its application in information-theoretic system analysis

Ding¹,

Ashok²

2020

Preprint

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“…Instead, we assume access to these X-ray material properties, but allow for material variability to exist. 1,2 This variability may be due to variations in processing, history, temperature, packing, chemical composition, etc. which may arise naturally as well as noise or related statistical uncertainty that may be present in the measurement.…”

Section: Motivation For Hybrid Measurement: a Toy Problemmentioning

confidence: 99%

“…The challenge to performing accurate, material-based threat detection via transmission measurements stems from the fundamental X-ray-matter interaction physics coupled with the inherent variability of materials. 1,2 These two elements conspire to create a considerable overlap between threat and non-threat materials in 'transmission space.' Orthogonal technologies, such as X-ray diffraction tomography (XRDT), provide complementary, material-specific information that has been shown to provide additional features by which threat and non-threat materials can be better separated.…”

Section: Introductionmentioning

confidence: 99%

Motivations and methods for the analysis of multi-modality x-ray systems for explosives detection

Carpenter

Ding

Hurlock

et al. 2019

Anomaly Detection and Imaging With X-Rays (ADIX) IV

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Transmission-based imaging and X-ray diffraction-based material analysis have largely developed independently. However, for a variety of applications ranging from in-vivo soft tissue analysis to concealed explosives detection, it is necessary to realize high-fidelity, spatially-resolved material discrimination. We therefore seek to understand to what degree transmission and X-ray diffraction (XRD) complement one another and can be implemented practically, particularly in the case of explosives detection in aviation security. Using a combination of simulated and experimental data, we identify the relative value of the X-ray signatures available to transmission and XRD measurements, and explore how the measurement fidelity can impact these results.

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An information theoretic approach to system optimization accounting for material variability

Coccarelli

Greenberg

Thamvichai

et al. 2018

Anomaly Detection and Imaging With X-Rays (ADIX) III

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X-ray measurement model and information-theoretic system metric incorporating material variability (Conference Presentation)

Cited by 4 publications

References 0 publications

X-ray measurement model incorporating energy-correlated material variability and its application in information-theoretic system analysis

X-ray measurement model incorporating energy-correlated material variability and its application in information-theoretic system analysis

Motivations and methods for the analysis of multi-modality x-ray systems for explosives detection

An information theoretic approach to system optimization accounting for material variability

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