Literature DB >> 33426704

Semiempirical, parameterized spectrum estimation for x-ray computed tomography.

Paul FitzGerald1, Stephen Araujo1, Mingye Wu1, Bruno De Man1.   

Abstract

PURPOSE: To develop a tool to produce accurate, well-validated x-ray spectra for standalone use or for use in an open-access x-ray/CT simulation tool. Spectrum models will be developed for tube voltages in the range of 80 kVp through 140 kVp and for anode takeoff angles in the range of 5° to 9°.
METHODS: Spectra were initialized based on physics models, then refined using empirical measurements, as follows. A new spectrum-parameterization method was developed, including 13 spline knots to represent the bremsstrahlung component and 4 values to represent characteristic lines. Initial spectra at 80, 100, 120, and 140 kVp and at takeoff angles from 5° to 9° were produced using physics-based spectrum estimation tools XSPECT and SpekPy. Empirical experiments were systematically designed with careful selection of attenuator materials and thicknesses, and by reducing measurement contamination from scatter to <1%. Measurements were made on a 64-row CT scanner using the scanner's detector and using multiple layers of polymethylmethacrylate (PMMA), aluminum, titanium, tin, and neodymium. Measurements were made at 80, 100, 120, and 140 kVp and covering the entire 64-row detector (takeoff angles from 5° to 9°); a total of 6,144 unique measurements were made. After accounting for the detector's energy response, parameterized representations of the initial spectra were refined for best agreement with measurements using two proposed optimization schemes: based on modulation and based on gradient descent. X-ray transmission errors were computed for measurements vs calculations using the nonoptimized and optimized spectra. Half-value, tenth-value, and hundredth-value layers for PMMA, Al, and Ti were calculated.
RESULTS: Spectra before and after parameterization were in excellent agreement (e.g., R2 values of 0.995 and 0.997). Empirical measurements produced smoothly varying curves with x-ray transmission covering a range of up to 3.5 orders of magnitude. Spectra from the two optimization schemes, compared with the unoptimized physic-based spectra, each improved agreement with measurements by twofold through tenfold, for both postlog transmission data and for fractional value layers.
CONCLUSION: The resulting well-validated spectra are appropriate for use in the open-access x-ray/CT simulator under development, the x-ray-based Cancer Imaging Toolkit (XCIST), or for standalone use. These spectra can be readily interpolated to produce spectra at arbitrary kVps over the range of 80 to 140 kVp and arbitrary takeoff angles over the range of 5° to 9°. Furthermore, interpolated spectra over these ranges can be obtained by applying the standalone Matlab function available at https://github.com/xcist/documentation/blob/master/XCISTspectrum.m.
© 2021 American Association of Physicists in Medicine.

Entities:  

Keywords:  simulation; spectrum model; x-ray

Mesh:

Year:  2021        PMID: 33426704      PMCID: PMC8140990          DOI: 10.1002/mp.14715

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  32 in total

1.  Evaluation of the use of six diagnostic X-ray spectra computer codes.

Authors:  P Meyer; E Buffard; L Mertz; C Kennel; A Constantinesco; P Siffert
Journal:  Br J Radiol       Date:  2004-03       Impact factor: 3.039

2.  Calculation of x-ray spectra emerging from an x-ray tube. Part I. electron penetration characteristics in x-ray targets.

Authors:  Gavin G Poludniowski; Philip M Evans
Journal:  Med Phys       Date:  2007-06       Impact factor: 4.071

3.  Diagnostic x-ray spectra: a comparison of spectra generated by different computational methods with a measured spectrum.

Authors:  M Bhat; J Pattison; G Bibbo; M Caon
Journal:  Med Phys       Date:  1998-01       Impact factor: 4.071

4.  A model for the energy and angular distribution of x rays emitted from an x-ray tube. Part I. Bremsstrahlung production.

Authors:  Artur Omar; Pedro Andreo; Gavin Poludniowski
Journal:  Med Phys       Date:  2020-08-08       Impact factor: 4.071

5.  Segmentation-free x-ray energy spectrum estimation for computed tomography using dual-energy material decomposition.

Authors:  Wei Zhao; Lei Xing; Qiude Zhang; Qingguo Xie; Tianye Niu
Journal:  J Med Imaging (Bellingham)       Date:  2017-06-30

6.  Tungsten anode spectral model using interpolating cubic splines: unfiltered x-ray spectra from 20 kV to 640 kV.

Authors:  Andrew M Hernandez; John M Boone
Journal:  Med Phys       Date:  2014-04       Impact factor: 4.071

7.  A model of tungsten anode x-ray spectra.

Authors:  G Hernández; F Fernández
Journal:  Med Phys       Date:  2016-08       Impact factor: 4.071

8.  Computation of bremsstrahlung X-ray spectra and comparison with spectra measured with a Ge(Li) detector.

Authors:  R Birch; M Marshall
Journal:  Phys Med Biol       Date:  1979-05       Impact factor: 3.609

9.  A validation of SpekPy: A software toolkit for modelling X-ray tube spectra.

Authors:  Robert Bujila; Artur Omar; Gavin Poludniowski
Journal:  Phys Med       Date:  2020-06-05       Impact factor: 2.685

10.  Technical Note: spektr 3.0-A computational tool for x-ray spectrum modeling and analysis.

Authors:  J Punnoose; J Xu; A Sisniega; W Zbijewski; J H Siewerdsen
Journal:  Med Phys       Date:  2016-08       Impact factor: 4.071

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