A Monte Carlo simulation of scattering reduction in spectral x-ray computed tomography

Matteo Busi, Ulrik Lund Olsen, Erik Bergbäck Knudsen, Jeppe Revall Frisvad, Jan Kehres, Erik D. Christensen, Mohamad Khalil, Kristoffer Haldrup

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Abstract

In X-ray computed tomography (CT), scattered radiation plays an important role in the accurate reconstruction of the inspected object, leading to a loss of contrast between the different materials in the reconstruction volume and cupping artifacts in the images. We present a Monte Carlo simulation tool for spectral X-ray CT to predict the scattered radiation generated by complex samples. An experimental setup is presented to isolate the energy distribution of scattered radiation. Spectral CT is a novel technique implementing photon-counting detectors able to discriminate the energy of incoming photons, enabling spectral analysis of X-ray images. This technique is useful to extract efficiently more information on energy dependent quantities (e.g. mass attenuations coefficients) and study matter interactions (e.g. X-ray scattering, photoelectric absorption, etc...). Having a good knowledge of the spectral distribution of the scattered X-rays is fundamental to establish methods attempting to correct for it. The simulations are validated by real measurements using a CdTe spectral resolving detector (Multix ME-100). We observed the effect of the scattered radiation on the image reconstruction, becoming relevant in the energy range where the Compton events are dominant (i.e. above 50keV).
Original languageEnglish
Title of host publicationAdvances in Computational Methods for X-Ray Optics IV
EditorsOleg Chubar, Kawal Sawhney
Number of pages9
Volume10388
PublisherSPIE - International Society for Optical Engineering
Publication date2017
Article number103880P
DOIs
Publication statusPublished - 2017
EventSPIE Optics + Photonics 2017 - San Diego, United States
Duration: 6 Aug 201710 Aug 2017
http://spie.org/conferences-and-exhibitions/past-conferences-and-exhibitions/optics-and-photonics-2017

Conference

ConferenceSPIE Optics + Photonics 2017
CountryUnited States
CitySan Diego
Period06/08/201710/08/2017
Internet address
SeriesProceedings of S P I E - International Society for Optical Engineering
ISSN0277-786X

Keywords

  • Computed tomography
  • Spectral CT
  • X-ray scattering
  • MOnte Carlo simulations
  • Scattered radiation
  • Fan beam CT

Cite this

Busi, M., Olsen, U. L., Bergbäck Knudsen, E., Frisvad, J. R., Kehres, J., Christensen, E. D., ... Haldrup, K. (2017). A Monte Carlo simulation of scattering reduction in spectral x-ray computed tomography. In O. Chubar, & K. Sawhney (Eds.), Advances in Computational Methods for X-Ray Optics IV (Vol. 10388). [103880P] SPIE - International Society for Optical Engineering. Proceedings of S P I E - International Society for Optical Engineering https://doi.org/10.1117/12.2273763
Busi, Matteo ; Olsen, Ulrik Lund ; Bergbäck Knudsen, Erik ; Frisvad, Jeppe Revall ; Kehres, Jan ; Christensen, Erik D. ; Khalil, Mohamad ; Haldrup, Kristoffer. / A Monte Carlo simulation of scattering reduction in spectral x-ray computed tomography. Advances in Computational Methods for X-Ray Optics IV. editor / Oleg Chubar ; Kawal Sawhney. Vol. 10388 SPIE - International Society for Optical Engineering, 2017. (Proceedings of S P I E - International Society for Optical Engineering).
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title = "A Monte Carlo simulation of scattering reduction in spectral x-ray computed tomography",
abstract = "In X-ray computed tomography (CT), scattered radiation plays an important role in the accurate reconstruction of the inspected object, leading to a loss of contrast between the different materials in the reconstruction volume and cupping artifacts in the images. We present a Monte Carlo simulation tool for spectral X-ray CT to predict the scattered radiation generated by complex samples. An experimental setup is presented to isolate the energy distribution of scattered radiation. Spectral CT is a novel technique implementing photon-counting detectors able to discriminate the energy of incoming photons, enabling spectral analysis of X-ray images. This technique is useful to extract efficiently more information on energy dependent quantities (e.g. mass attenuations coefficients) and study matter interactions (e.g. X-ray scattering, photoelectric absorption, etc...). Having a good knowledge of the spectral distribution of the scattered X-rays is fundamental to establish methods attempting to correct for it. The simulations are validated by real measurements using a CdTe spectral resolving detector (Multix ME-100). We observed the effect of the scattered radiation on the image reconstruction, becoming relevant in the energy range where the Compton events are dominant (i.e. above 50keV).",
keywords = "Computed tomography , Spectral CT, X-ray scattering, MOnte Carlo simulations, Scattered radiation, Fan beam CT",
author = "Matteo Busi and Olsen, {Ulrik Lund} and {Bergb{\"a}ck Knudsen}, Erik and Frisvad, {Jeppe Revall} and Jan Kehres and Christensen, {Erik D.} and Mohamad Khalil and Kristoffer Haldrup",
year = "2017",
doi = "10.1117/12.2273763",
language = "English",
volume = "10388",
series = "Proceedings of S P I E - International Society for Optical Engineering",
publisher = "SPIE - International Society for Optical Engineering",
editor = "Chubar, {Oleg } and Sawhney, {Kawal }",
booktitle = "Advances in Computational Methods for X-Ray Optics IV",

}

Busi, M, Olsen, UL, Bergbäck Knudsen, E, Frisvad, JR, Kehres, J, Christensen, ED, Khalil, M & Haldrup, K 2017, A Monte Carlo simulation of scattering reduction in spectral x-ray computed tomography. in O Chubar & K Sawhney (eds), Advances in Computational Methods for X-Ray Optics IV. vol. 10388, 103880P, SPIE - International Society for Optical Engineering, Proceedings of S P I E - International Society for Optical Engineering, SPIE Optics + Photonics 2017, San Diego, United States, 06/08/2017. https://doi.org/10.1117/12.2273763

A Monte Carlo simulation of scattering reduction in spectral x-ray computed tomography. / Busi, Matteo; Olsen, Ulrik Lund; Bergbäck Knudsen, Erik; Frisvad, Jeppe Revall; Kehres, Jan; Christensen, Erik D.; Khalil, Mohamad; Haldrup, Kristoffer.

Advances in Computational Methods for X-Ray Optics IV. ed. / Oleg Chubar; Kawal Sawhney. Vol. 10388 SPIE - International Society for Optical Engineering, 2017. 103880P (Proceedings of S P I E - International Society for Optical Engineering).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

TY - GEN

T1 - A Monte Carlo simulation of scattering reduction in spectral x-ray computed tomography

AU - Busi, Matteo

AU - Olsen, Ulrik Lund

AU - Bergbäck Knudsen, Erik

AU - Frisvad, Jeppe Revall

AU - Kehres, Jan

AU - Christensen, Erik D.

AU - Khalil, Mohamad

AU - Haldrup, Kristoffer

PY - 2017

Y1 - 2017

N2 - In X-ray computed tomography (CT), scattered radiation plays an important role in the accurate reconstruction of the inspected object, leading to a loss of contrast between the different materials in the reconstruction volume and cupping artifacts in the images. We present a Monte Carlo simulation tool for spectral X-ray CT to predict the scattered radiation generated by complex samples. An experimental setup is presented to isolate the energy distribution of scattered radiation. Spectral CT is a novel technique implementing photon-counting detectors able to discriminate the energy of incoming photons, enabling spectral analysis of X-ray images. This technique is useful to extract efficiently more information on energy dependent quantities (e.g. mass attenuations coefficients) and study matter interactions (e.g. X-ray scattering, photoelectric absorption, etc...). Having a good knowledge of the spectral distribution of the scattered X-rays is fundamental to establish methods attempting to correct for it. The simulations are validated by real measurements using a CdTe spectral resolving detector (Multix ME-100). We observed the effect of the scattered radiation on the image reconstruction, becoming relevant in the energy range where the Compton events are dominant (i.e. above 50keV).

AB - In X-ray computed tomography (CT), scattered radiation plays an important role in the accurate reconstruction of the inspected object, leading to a loss of contrast between the different materials in the reconstruction volume and cupping artifacts in the images. We present a Monte Carlo simulation tool for spectral X-ray CT to predict the scattered radiation generated by complex samples. An experimental setup is presented to isolate the energy distribution of scattered radiation. Spectral CT is a novel technique implementing photon-counting detectors able to discriminate the energy of incoming photons, enabling spectral analysis of X-ray images. This technique is useful to extract efficiently more information on energy dependent quantities (e.g. mass attenuations coefficients) and study matter interactions (e.g. X-ray scattering, photoelectric absorption, etc...). Having a good knowledge of the spectral distribution of the scattered X-rays is fundamental to establish methods attempting to correct for it. The simulations are validated by real measurements using a CdTe spectral resolving detector (Multix ME-100). We observed the effect of the scattered radiation on the image reconstruction, becoming relevant in the energy range where the Compton events are dominant (i.e. above 50keV).

KW - Computed tomography

KW - Spectral CT

KW - X-ray scattering

KW - MOnte Carlo simulations

KW - Scattered radiation

KW - Fan beam CT

U2 - 10.1117/12.2273763

DO - 10.1117/12.2273763

M3 - Article in proceedings

VL - 10388

T3 - Proceedings of S P I E - International Society for Optical Engineering

BT - Advances in Computational Methods for X-Ray Optics IV

A2 - Chubar, Oleg

A2 - Sawhney, Kawal

PB - SPIE - International Society for Optical Engineering

ER -

Busi M, Olsen UL, Bergbäck Knudsen E, Frisvad JR, Kehres J, Christensen ED et al. A Monte Carlo simulation of scattering reduction in spectral x-ray computed tomography. In Chubar O, Sawhney K, editors, Advances in Computational Methods for X-Ray Optics IV. Vol. 10388. SPIE - International Society for Optical Engineering. 2017. 103880P. (Proceedings of S P I E - International Society for Optical Engineering). https://doi.org/10.1117/12.2273763