Assessment of quantification accuracy and image quality of a full‐body dual‐layer spectral CT system
The performance of a recently introduced spectral computed tomography system based on a dual‐layer detector has been investigated. A semi‐anthropomorphic abdomen phantom for CT performance evaluation was imaged on the dual‐layer spectral CT at different radiation exposure levels (CTDIvol of 10 mGy,...
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Published in: | Journal of applied clinical medical physics Vol. 19; no. 1; pp. 204 - 217 |
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01-01-2018
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Abstract | The performance of a recently introduced spectral computed tomography system based on a dual‐layer detector has been investigated. A semi‐anthropomorphic abdomen phantom for CT performance evaluation was imaged on the dual‐layer spectral CT at different radiation exposure levels (CTDIvol of 10 mGy, 20 mGy and 30 mGy). The phantom was equipped with specific low‐contrast and tissue‐equivalent inserts including water‐, adipose‐, muscle‐, liver‐, bone‐like materials and a variation in iodine concentrations. Additionally, the phantom size was varied using different extension rings to simulate different patient sizes. Contrast‐to‐noise (CNR) ratio over the range of available virtual mono‐energetic images (VMI) and the quantitative accuracy of VMI Hounsfield Units (HU), effective‐Z maps and iodine concentrations have been evaluated. Central and peripheral locations in the field‐of‐view have been examined. For all evaluated imaging tasks the results are within the calculated theoretical range of the tissue‐equivalent inserts. Especially at low energies, the CNR in VMIs could be boosted by up to 330% with respect to conventional images using iDose/spectral reconstructions at level 0. The mean bias found in effective‐Z maps and iodine concentrations averaged over all exposure levels and phantom sizes was 1.9% (eff. Z) and 3.4% (iodine). Only small variations were observed with increasing phantom size (+3%) while the bias was nearly independent of the exposure level (±0.2%). Therefore, dual‐layer detector based CT offers high quantitative accuracy of spectral images over the complete field‐of‐view without any compromise in radiation dose or diagnostic image quality. |
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AbstractList | The performance of a recently introduced spectral computed tomography system based on a dual‐layer detector has been investigated. A semi‐anthropomorphic abdomen phantom for CT performance evaluation was imaged on the dual‐layer spectral CT at different radiation exposure levels (CTDIvol of 10 mGy, 20 mGy and 30 mGy). The phantom was equipped with specific low‐contrast and tissue‐equivalent inserts including water‐, adipose‐, muscle‐, liver‐, bone‐like materials and a variation in iodine concentrations. Additionally, the phantom size was varied using different extension rings to simulate different patient sizes. Contrast‐to‐noise (CNR) ratio over the range of available virtual mono‐energetic images (VMI) and the quantitative accuracy of VMI Hounsfield Units (HU), effective‐Z maps and iodine concentrations have been evaluated. Central and peripheral locations in the field‐of‐view have been examined. For all evaluated imaging tasks the results are within the calculated theoretical range of the tissue‐equivalent inserts. Especially at low energies, the CNR in VMIs could be boosted by up to 330% with respect to conventional images using iDose/spectral reconstructions at level 0. The mean bias found in effective‐Z maps and iodine concentrations averaged over all exposure levels and phantom sizes was 1.9% (eff. Z) and 3.4% (iodine). Only small variations were observed with increasing phantom size (+3%) while the bias was nearly independent of the exposure level (±0.2%). Therefore, dual‐layer detector based CT offers high quantitative accuracy of spectral images over the complete field‐of‐view without any compromise in radiation dose or diagnostic image quality. The performance of a recently introduced spectral computed tomography system based on a dual‐layer detector has been investigated. A semi‐anthropomorphic abdomen phantom for CT performance evaluation was imaged on the dual‐layer spectral CT at different radiation exposure levels ( CTDI vol of 10 mG y, 20 mG y and 30 mG y). The phantom was equipped with specific low‐contrast and tissue‐equivalent inserts including water‐, adipose‐, muscle‐, liver‐, bone‐like materials and a variation in iodine concentrations. Additionally, the phantom size was varied using different extension rings to simulate different patient sizes. Contrast‐to‐noise ( CNR ) ratio over the range of available virtual mono‐energetic images ( VMI ) and the quantitative accuracy of VMI Hounsfield Units ( HU ), effective‐Z maps and iodine concentrations have been evaluated. Central and peripheral locations in the field‐of‐view have been examined. For all evaluated imaging tasks the results are within the calculated theoretical range of the tissue‐equivalent inserts. Especially at low energies, the CNR in VMI s could be boosted by up to 330% with respect to conventional images using iD ose/spectral reconstructions at level 0. The mean bias found in effective‐Z maps and iodine concentrations averaged over all exposure levels and phantom sizes was 1.9% (eff. Z) and 3.4% (iodine). Only small variations were observed with increasing phantom size (+3%) while the bias was nearly independent of the exposure level (±0.2%). Therefore, dual‐layer detector based CT offers high quantitative accuracy of spectral images over the complete field‐of‐view without any compromise in radiation dose or diagnostic image quality. The performance of a recently introduced spectral computed tomography system based on a dual-layer detector has been investigated. A semi-anthropomorphic abdomen phantom for CT performance evaluation was imaged on the dual-layer spectral CT at different radiation exposure levels (CTDI of 10 mGy, 20 mGy and 30 mGy). The phantom was equipped with specific low-contrast and tissue-equivalent inserts including water-, adipose-, muscle-, liver-, bone-like materials and a variation in iodine concentrations. Additionally, the phantom size was varied using different extension rings to simulate different patient sizes. Contrast-to-noise (CNR) ratio over the range of available virtual mono-energetic images (VMI) and the quantitative accuracy of VMI Hounsfield Units (HU), effective-Z maps and iodine concentrations have been evaluated. Central and peripheral locations in the field-of-view have been examined. For all evaluated imaging tasks the results are within the calculated theoretical range of the tissue-equivalent inserts. Especially at low energies, the CNR in VMIs could be boosted by up to 330% with respect to conventional images using iDose/spectral reconstructions at level 0. The mean bias found in effective-Z maps and iodine concentrations averaged over all exposure levels and phantom sizes was 1.9% (eff. Z) and 3.4% (iodine). Only small variations were observed with increasing phantom size (+3%) while the bias was nearly independent of the exposure level (±0.2%). Therefore, dual-layer detector based CT offers high quantitative accuracy of spectral images over the complete field-of-view without any compromise in radiation dose or diagnostic image quality. |
Author | Fingerle, Alexander A. Dangelmaier, Julia Renger, Bernhard Braren, Rickmer Pfeiffer, Franz Duda, Manuela Kopp, Felix Herzen, Julia Ehn, Sebastian Sauter, Andreas Sellerer, Thorsten Noël, Peter B. Schwaiger, Benedikt J. Rummeny, Ernst J. Riederer, Isabelle Mei, Kai Muenzel, Daniela Renz, Martin |
AuthorAffiliation | 2 Department of diagnostic and interventional Radiology Technical University of Munich Munich Germany 1 Chair of Biomedical Physics Department of Physics and Munich School of BioEngineering Technical University of Munich Garching Germany |
AuthorAffiliation_xml | – name: 2 Department of diagnostic and interventional Radiology Technical University of Munich Munich Germany – name: 1 Chair of Biomedical Physics Department of Physics and Munich School of BioEngineering Technical University of Munich Garching Germany |
Author_xml | – sequence: 1 givenname: Sebastian surname: Ehn fullname: Ehn, Sebastian email: sebastian.ehn@ph.tum.de organization: Technical University of Munich – sequence: 2 givenname: Thorsten surname: Sellerer fullname: Sellerer, Thorsten organization: Technical University of Munich – sequence: 3 givenname: Daniela surname: Muenzel fullname: Muenzel, Daniela organization: Technical University of Munich – sequence: 4 givenname: Alexander A. surname: Fingerle fullname: Fingerle, Alexander A. organization: Technical University of Munich – sequence: 5 givenname: Felix surname: Kopp fullname: Kopp, Felix organization: Technical University of Munich – sequence: 6 givenname: Manuela surname: Duda fullname: Duda, Manuela organization: Technical University of Munich – sequence: 7 givenname: Kai surname: Mei fullname: Mei, Kai organization: Technical University of Munich – sequence: 8 givenname: Bernhard surname: Renger fullname: Renger, Bernhard organization: Technical University of Munich – sequence: 9 givenname: Julia surname: Herzen fullname: Herzen, Julia organization: Technical University of Munich – sequence: 10 givenname: Julia surname: Dangelmaier fullname: Dangelmaier, Julia organization: Technical University of Munich – sequence: 11 givenname: Benedikt J. surname: Schwaiger fullname: Schwaiger, Benedikt J. organization: Technical University of Munich – sequence: 12 givenname: Andreas surname: Sauter fullname: Sauter, Andreas organization: Technical University of Munich – sequence: 13 givenname: Isabelle surname: Riederer fullname: Riederer, Isabelle organization: Technical University of Munich – sequence: 14 givenname: Martin surname: Renz fullname: Renz, Martin organization: Technical University of Munich – sequence: 15 givenname: Rickmer surname: Braren fullname: Braren, Rickmer organization: Technical University of Munich – sequence: 16 givenname: Ernst J. surname: Rummeny fullname: Rummeny, Ernst J. organization: Technical University of Munich – sequence: 17 givenname: Franz surname: Pfeiffer fullname: Pfeiffer, Franz organization: Technical University of Munich – sequence: 18 givenname: Peter B. surname: Noël fullname: Noël, Peter B. organization: Technical University of Munich |
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Copyright | 2017 The Authors. published by Wiley Periodicals, Inc. on behalf of American Association of Physicists in Medicine. 2017 The Authors. Journal of Applied Clinical Medical Physics published by Wiley Periodicals, Inc. on behalf of American Association of Physicists in Medicine. 2018. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
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Keywords | spectral CT dual-energy CT effective atomic number virtual mono-energetic imaging iodine quantification |
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Snippet | The performance of a recently introduced spectral computed tomography system based on a dual‐layer detector has been investigated. A semi‐anthropomorphic... The performance of a recently introduced spectral computed tomography system based on a dual-layer detector has been investigated. A semi-anthropomorphic... |
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SubjectTerms | Accuracy dual‐energy CT effective atomic number Energy Humans Image Processing, Computer-Assisted - methods Iodine iodine quantification Medical Imaging Phantoms, Imaging Quality Assurance, Health Care - standards Radiation Dosage Radiation Protection - instrumentation Radiation Protection - methods Radiography, Dual-Energy Scanned Projection - instrumentation Radiography, Dual-Energy Scanned Projection - methods Sensors spectral CT Tomography, X-Ray Computed - instrumentation Tomography, X-Ray Computed - methods virtual mono‐energetic imaging Whole Body Imaging - methods |
Title | Assessment of quantification accuracy and image quality of a full‐body dual‐layer spectral CT system |
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