Automatic method of material identification for computed tomography
Abstract
A method is provided for isolating and labeling discrete features in a spectral radiographic image recorded as a set of images in different energy channels. The disclosed method involves creating a profile for each of at least some pixels in the spectral radiographic image. The profiles are sequences of pixel values, in which each pixel value is a photon count or a similar radiographic exposure value indicative of the attenuation of a portion of the scanning beam in a respective energy channel. Iterative hierarchical clustering is used to cluster the pixels on the basis of their respective profiles. Labels are assigned to one or more of the resulting clusters. In implementations, each label can be associated with an inferred material composition or with an inference that the material composition is unknown.
- Inventors:
- Issue Date:
- Research Org.:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA)
- OSTI Identifier:
- 1805462
- Patent Number(s):
- 10908098
- Application Number:
- 16/456,235
- Assignee:
- National Technology & Engineering Solutions of Sandia, LLC (Albuquerque, NM)
- DOE Contract Number:
- NA0003525
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 06/28/2019
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Jimenez, Jr., Edward Steven, Gallegos, Isabel, Stohn, Adriana, Koundinyan, Srivathsan, and Thompson, Kyle. Automatic method of material identification for computed tomography. United States: N. p., 2021.
Web.
Jimenez, Jr., Edward Steven, Gallegos, Isabel, Stohn, Adriana, Koundinyan, Srivathsan, & Thompson, Kyle. Automatic method of material identification for computed tomography. United States.
Jimenez, Jr., Edward Steven, Gallegos, Isabel, Stohn, Adriana, Koundinyan, Srivathsan, and Thompson, Kyle. Tue .
"Automatic method of material identification for computed tomography". United States. https://www.osti.gov/servlets/purl/1805462.
@article{osti_1805462,
title = {Automatic method of material identification for computed tomography},
author = {Jimenez, Jr., Edward Steven and Gallegos, Isabel and Stohn, Adriana and Koundinyan, Srivathsan and Thompson, Kyle},
abstractNote = {A method is provided for isolating and labeling discrete features in a spectral radiographic image recorded as a set of images in different energy channels. The disclosed method involves creating a profile for each of at least some pixels in the spectral radiographic image. The profiles are sequences of pixel values, in which each pixel value is a photon count or a similar radiographic exposure value indicative of the attenuation of a portion of the scanning beam in a respective energy channel. Iterative hierarchical clustering is used to cluster the pixels on the basis of their respective profiles. Labels are assigned to one or more of the resulting clusters. In implementations, each label can be associated with an inferred material composition or with an inference that the material composition is unknown.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2021},
month = {2}
}