Spectral computed tomography for quantitative decomposition of vulnerable plaques using a dual-energy technique

A Monte Carlo simulation study

B. D. Jo, S. J. Park, H. M. Kim, D. H. Kim, H. J. Kim

Research output: Contribution to journalArticle

Abstract

A spectral computed tomography (CT) system based on an energy-resolved photon-counting Cadmium Zinc Telluride (CZT) detector with a dual energy technique can provide spectral information and can possibly distinguish between two or more materials with a single X-ray exposure using energy thresholds. This work provides the potential for three-material decomposition of vulnerable plaques using two inverse fitting functions. Additionally, there exists the possibility of using gold nanoparticles as a contrast agent for the spectral CT system in conjunction with a CZT photon-counting detector. In this simulation study, we used fan beam CT geometry that consisted of a 90 kVp X-ray spectrum and performed calculations by using the SpekCal program (REAL Software, Inc.) with Monte Carlo simulations. A basic test phantom was imaged with the spectral CT system for the calibration and decomposition process. This phantom contained three different materials, including lipid, iodine and gold nanoparticles, with six holes 3 mm in diameter. In addition to reducing pile-up and charge sharing effect, the photon counting detector was considered an ideal detector. Then, the accuracy of material decomposition techniques with two inverse fitting functions were evaluated between decomposed images and reference images in terms of root mean square error (RMSE). The results showed that decomposed images had a good volumetric fraction for each material, and the RMSE between the measured and true volumes of lipid, iodine and gold nanoparticle fractions varied from 12.51% to 1.29% for inverse fitting functions. The study indicated that spectral CT in conjunction with a CZT photon-counting detector in conjunction with a dual energy technique can be used to identifying materials and may be a promising modality for quantifying material properties of vulnerable plaques.

Original languageEnglish
Article numberP02011
JournalJournal of Instrumentation
Volume11
Issue number2
DOIs
Publication statusPublished - 2016 Feb 17

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Computed Tomography
Tomography
Photon Counting
zinc tellurides
Monte Carlo Simulation
tomography
Simulation Study
cadmium tellurides
Decomposition
counting
decomposition
Decompose
Detector
Gold Nanoparticles
Detectors
detectors
Zinc
Photons
Energy
Cadmium

All Science Journal Classification (ASJC) codes

  • Instrumentation
  • Mathematical Physics

Cite this

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title = "Spectral computed tomography for quantitative decomposition of vulnerable plaques using a dual-energy technique: A Monte Carlo simulation study",
abstract = "A spectral computed tomography (CT) system based on an energy-resolved photon-counting Cadmium Zinc Telluride (CZT) detector with a dual energy technique can provide spectral information and can possibly distinguish between two or more materials with a single X-ray exposure using energy thresholds. This work provides the potential for three-material decomposition of vulnerable plaques using two inverse fitting functions. Additionally, there exists the possibility of using gold nanoparticles as a contrast agent for the spectral CT system in conjunction with a CZT photon-counting detector. In this simulation study, we used fan beam CT geometry that consisted of a 90 kVp X-ray spectrum and performed calculations by using the SpekCal program (REAL Software, Inc.) with Monte Carlo simulations. A basic test phantom was imaged with the spectral CT system for the calibration and decomposition process. This phantom contained three different materials, including lipid, iodine and gold nanoparticles, with six holes 3 mm in diameter. In addition to reducing pile-up and charge sharing effect, the photon counting detector was considered an ideal detector. Then, the accuracy of material decomposition techniques with two inverse fitting functions were evaluated between decomposed images and reference images in terms of root mean square error (RMSE). The results showed that decomposed images had a good volumetric fraction for each material, and the RMSE between the measured and true volumes of lipid, iodine and gold nanoparticle fractions varied from 12.51{\%} to 1.29{\%} for inverse fitting functions. The study indicated that spectral CT in conjunction with a CZT photon-counting detector in conjunction with a dual energy technique can be used to identifying materials and may be a promising modality for quantifying material properties of vulnerable plaques.",
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Spectral computed tomography for quantitative decomposition of vulnerable plaques using a dual-energy technique : A Monte Carlo simulation study. / Jo, B. D.; Park, S. J.; Kim, H. M.; Kim, D. H.; Kim, H. J.

In: Journal of Instrumentation, Vol. 11, No. 2, P02011, 17.02.2016.

Research output: Contribution to journalArticle

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AU - Jo, B. D.

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