U.S. Department of EnergyOffice of Scientific and Technical Information
Calibration method for a spectral computerized tomography system
Abstract
A calibration method for an x-ray computerized tomography system and a method of tomographic reconstruction are provided. The calibration method includes steps of measuring at least one point spread function (PSF) at each of a plurality of points, compressing each PSF, and in one or more storing operations, storing the compressed PSFs in a computer-accessible storage medium. The PSF measurements are made in a grid of calibration points in a field of view (FOV) of the system. In the measuring step, an absorber is positioned at each of the calibration points, and an x-ray projection is taken at least once at each of those absorber positions. In the method of tomographic image reconstruction, projection data from an x-ray tomographic projection system are input to an iterative image reconstruction algorithm. The algorithm retrieves and utilizes a priori system information (APSI) The APSI comprises comprising point spread functions (PSFs) of all voxels in a voxelization of the field of view that are compressed in the form of vectors of parameters. For utilization, each retrieved vector of parameters is decompressed so as to generate a discretized PSF.
- Inventors:
- Publication Date:
- Research Org.:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA)
- OSTI Identifier:
- 1892668
- Patent Number(s):
- 11,263,792
- Application Number:
- 16/725,549
- Assignee:
- National Technology & Engineering Solutions of Sandia, LLC (Albuquerque, NM)
- DOE Contract Number:
- NA0003525
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 12/23/2019
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Jimenez, Jr., Edward Steven, Koundinyan, Srivathsan Prabu, Gallegos, Isabel, Stohn, Adriana, and Dalton, Gabriella. Calibration method for a spectral computerized tomography system. United States: N. p., 2022.
Web.
Jimenez, Jr., Edward Steven, Koundinyan, Srivathsan Prabu, Gallegos, Isabel, Stohn, Adriana, & Dalton, Gabriella. Calibration method for a spectral computerized tomography system. United States.
Jimenez, Jr., Edward Steven, Koundinyan, Srivathsan Prabu, Gallegos, Isabel, Stohn, Adriana, and Dalton, Gabriella. 2022.
"Calibration method for a spectral computerized tomography system". United States. https://www.osti.gov/servlets/purl/1892668.
@article{osti_1892668,
title = {Calibration method for a spectral computerized tomography system},
author = {Jimenez, Jr., Edward Steven and Koundinyan, Srivathsan Prabu and Gallegos, Isabel and Stohn, Adriana and Dalton, Gabriella},
abstractNote = {A calibration method for an x-ray computerized tomography system and a method of tomographic reconstruction are provided. The calibration method includes steps of measuring at least one point spread function (PSF) at each of a plurality of points, compressing each PSF, and in one or more storing operations, storing the compressed PSFs in a computer-accessible storage medium. The PSF measurements are made in a grid of calibration points in a field of view (FOV) of the system. In the measuring step, an absorber is positioned at each of the calibration points, and an x-ray projection is taken at least once at each of those absorber positions. In the method of tomographic image reconstruction, projection data from an x-ray tomographic projection system are input to an iterative image reconstruction algorithm. The algorithm retrieves and utilizes a priori system information (APSI) The APSI comprises comprising point spread functions (PSFs) of all voxels in a voxelization of the field of view that are compressed in the form of vectors of parameters. For utilization, each retrieved vector of parameters is decompressed so as to generate a discretized PSF.},
doi = {},
url = {https://www.osti.gov/biblio/1892668},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Mar 01 00:00:00 EST 2022},
month = {Tue Mar 01 00:00:00 EST 2022}
}
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