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Multicolour imaging with spectral photon-counting CT: a phantom study

BACKGROUND: To evaluate the feasibility of multicolour quantitative imaging with spectral photon-counting computed tomography (SPCCT) of different mixed contrast agents. METHODS: Phantoms containing eleven tubes with mixtures of varying proportions of two contrast agents (i.e. two selected from gado...

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Autores principales: Si-Mohamed, Salim, Bar-Ness, Daniel, Sigovan, Monica, Tatard-Leitman, Valérie, Cormode, David P., Naha, Pratap C., Coulon, Philippe, Rascle, Lucie, Roessl, Ewald, Rokni, Michal, Altman, Ami, Yagil, Yoad, Boussel, Loic, Douek, Philippe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6191405/
https://www.ncbi.nlm.nih.gov/pubmed/30327898
http://dx.doi.org/10.1186/s41747-018-0063-4
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author Si-Mohamed, Salim
Bar-Ness, Daniel
Sigovan, Monica
Tatard-Leitman, Valérie
Cormode, David P.
Naha, Pratap C.
Coulon, Philippe
Rascle, Lucie
Roessl, Ewald
Rokni, Michal
Altman, Ami
Yagil, Yoad
Boussel, Loic
Douek, Philippe
author_facet Si-Mohamed, Salim
Bar-Ness, Daniel
Sigovan, Monica
Tatard-Leitman, Valérie
Cormode, David P.
Naha, Pratap C.
Coulon, Philippe
Rascle, Lucie
Roessl, Ewald
Rokni, Michal
Altman, Ami
Yagil, Yoad
Boussel, Loic
Douek, Philippe
author_sort Si-Mohamed, Salim
collection PubMed
description BACKGROUND: To evaluate the feasibility of multicolour quantitative imaging with spectral photon-counting computed tomography (SPCCT) of different mixed contrast agents. METHODS: Phantoms containing eleven tubes with mixtures of varying proportions of two contrast agents (i.e. two selected from gadolinium, iodine or gold nanoparticles) were prepared so that the attenuation of each tube was about 280 HU. Scans were acquired at 120 kVp and 100 mAs using a five-bin preclinical SPCCT prototype, generating conventional, water, iodine, gadolinium and gold images. The correlation between prepared and measured concentrations was assessed using linear regression. The cross-contamination was measured for each material as the root mean square error (RMSE) of its concentration in the other material images, where no signal was expected. The contrast-to-noise ratio (CNR) relative to a phosphate buffered saline tube was calculated for each contrast agent. RESULTS: The solutions had similar attenuations (279 ± 10 HU, mean ± standard deviation) and could not be differentiated on conventional images. However, a distinction was observed in the material images within the same samples, and the measured and prepared concentrations were strongly correlated (R(2) ≥ 0.97, 0.81 ≤ slope ≤ 0.95, -0.68 ≤ offset ≤ 0.89 mg/mL). Cross-contamination in the iodine images for the mixture of gold and gadolinium contrast agents (RMSE = 0.34 mg/mL) was observed. CNR for 1 mg/mL of contrast agent was better for the mixture of iodine and gadolinium (CNR(iodine) = 3.20, CNR(gadolinium) = 2.80) than gold and gadolinium (CNR(gadolinium) = 1.67, CNR(gold) = 1.37). CONCLUSIONS: SPCCT enables multicolour quantitative imaging. As a result, it should be possible to perform imaging of multiple uptake phases of a given tissue/organ within a single scan by injecting different contrast agents sequentially.
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spelling pubmed-61914052018-10-28 Multicolour imaging with spectral photon-counting CT: a phantom study Si-Mohamed, Salim Bar-Ness, Daniel Sigovan, Monica Tatard-Leitman, Valérie Cormode, David P. Naha, Pratap C. Coulon, Philippe Rascle, Lucie Roessl, Ewald Rokni, Michal Altman, Ami Yagil, Yoad Boussel, Loic Douek, Philippe Eur Radiol Exp Original Article BACKGROUND: To evaluate the feasibility of multicolour quantitative imaging with spectral photon-counting computed tomography (SPCCT) of different mixed contrast agents. METHODS: Phantoms containing eleven tubes with mixtures of varying proportions of two contrast agents (i.e. two selected from gadolinium, iodine or gold nanoparticles) were prepared so that the attenuation of each tube was about 280 HU. Scans were acquired at 120 kVp and 100 mAs using a five-bin preclinical SPCCT prototype, generating conventional, water, iodine, gadolinium and gold images. The correlation between prepared and measured concentrations was assessed using linear regression. The cross-contamination was measured for each material as the root mean square error (RMSE) of its concentration in the other material images, where no signal was expected. The contrast-to-noise ratio (CNR) relative to a phosphate buffered saline tube was calculated for each contrast agent. RESULTS: The solutions had similar attenuations (279 ± 10 HU, mean ± standard deviation) and could not be differentiated on conventional images. However, a distinction was observed in the material images within the same samples, and the measured and prepared concentrations were strongly correlated (R(2) ≥ 0.97, 0.81 ≤ slope ≤ 0.95, -0.68 ≤ offset ≤ 0.89 mg/mL). Cross-contamination in the iodine images for the mixture of gold and gadolinium contrast agents (RMSE = 0.34 mg/mL) was observed. CNR for 1 mg/mL of contrast agent was better for the mixture of iodine and gadolinium (CNR(iodine) = 3.20, CNR(gadolinium) = 2.80) than gold and gadolinium (CNR(gadolinium) = 1.67, CNR(gold) = 1.37). CONCLUSIONS: SPCCT enables multicolour quantitative imaging. As a result, it should be possible to perform imaging of multiple uptake phases of a given tissue/organ within a single scan by injecting different contrast agents sequentially. Springer International Publishing 2018-10-17 /pmc/articles/PMC6191405/ /pubmed/30327898 http://dx.doi.org/10.1186/s41747-018-0063-4 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Article
Si-Mohamed, Salim
Bar-Ness, Daniel
Sigovan, Monica
Tatard-Leitman, Valérie
Cormode, David P.
Naha, Pratap C.
Coulon, Philippe
Rascle, Lucie
Roessl, Ewald
Rokni, Michal
Altman, Ami
Yagil, Yoad
Boussel, Loic
Douek, Philippe
Multicolour imaging with spectral photon-counting CT: a phantom study
title Multicolour imaging with spectral photon-counting CT: a phantom study
title_full Multicolour imaging with spectral photon-counting CT: a phantom study
title_fullStr Multicolour imaging with spectral photon-counting CT: a phantom study
title_full_unstemmed Multicolour imaging with spectral photon-counting CT: a phantom study
title_short Multicolour imaging with spectral photon-counting CT: a phantom study
title_sort multicolour imaging with spectral photon-counting ct: a phantom study
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6191405/
https://www.ncbi.nlm.nih.gov/pubmed/30327898
http://dx.doi.org/10.1186/s41747-018-0063-4
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