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Validation of a Low Dose Simulation Technique for Computed Tomography Images
PURPOSE: Evaluation of a new software tool for generation of simulated low-dose computed tomography (CT) images from an original higher dose scan. MATERIALS AND METHODS: Original CT scan data (100 mAs, 80 mAs, 60 mAs, 40 mAs, 20 mAs, 10 mAs; 100 kV) of a swine were acquired (approved by the regional...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4172631/ https://www.ncbi.nlm.nih.gov/pubmed/25247422 http://dx.doi.org/10.1371/journal.pone.0107843 |
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author | Muenzel, Daniela Koehler, Thomas Brown, Kevin Žabić, Stanislav Fingerle, Alexander A. Waldt, Simone Bendik, Edgar Zahel, Tina Schneider, Armin Dobritz, Martin Rummeny, Ernst J. Noël, Peter B. |
author_facet | Muenzel, Daniela Koehler, Thomas Brown, Kevin Žabić, Stanislav Fingerle, Alexander A. Waldt, Simone Bendik, Edgar Zahel, Tina Schneider, Armin Dobritz, Martin Rummeny, Ernst J. Noël, Peter B. |
author_sort | Muenzel, Daniela |
collection | PubMed |
description | PURPOSE: Evaluation of a new software tool for generation of simulated low-dose computed tomography (CT) images from an original higher dose scan. MATERIALS AND METHODS: Original CT scan data (100 mAs, 80 mAs, 60 mAs, 40 mAs, 20 mAs, 10 mAs; 100 kV) of a swine were acquired (approved by the regional governmental commission for animal protection). Simulations of CT acquisition with a lower dose (simulated 10–80 mAs) were calculated using a low-dose simulation algorithm. The simulations were compared to the originals of the same dose level with regard to density values and image noise. Four radiologists assessed the realistic visual appearance of the simulated images. RESULTS: Image characteristics of simulated low dose scans were similar to the originals. Mean overall discrepancy of image noise and CT values was −1.2% (range −9% to 3.2%) and −0.2% (range −8.2% to 3.2%), respectively, p>0.05. Confidence intervals of discrepancies ranged between 0.9–10.2 HU (noise) and 1.9–13.4 HU (CT values), without significant differences (p>0.05). Subjective observer evaluation of image appearance showed no visually detectable difference. CONCLUSION: Simulated low dose images showed excellent agreement with the originals concerning image noise, CT density values, and subjective assessment of the visual appearance of the simulated images. An authentic low-dose simulation opens up opportunity with regard to staff education, protocol optimization and introduction of new techniques. |
format | Online Article Text |
id | pubmed-4172631 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-41726312014-10-02 Validation of a Low Dose Simulation Technique for Computed Tomography Images Muenzel, Daniela Koehler, Thomas Brown, Kevin Žabić, Stanislav Fingerle, Alexander A. Waldt, Simone Bendik, Edgar Zahel, Tina Schneider, Armin Dobritz, Martin Rummeny, Ernst J. Noël, Peter B. PLoS One Research Article PURPOSE: Evaluation of a new software tool for generation of simulated low-dose computed tomography (CT) images from an original higher dose scan. MATERIALS AND METHODS: Original CT scan data (100 mAs, 80 mAs, 60 mAs, 40 mAs, 20 mAs, 10 mAs; 100 kV) of a swine were acquired (approved by the regional governmental commission for animal protection). Simulations of CT acquisition with a lower dose (simulated 10–80 mAs) were calculated using a low-dose simulation algorithm. The simulations were compared to the originals of the same dose level with regard to density values and image noise. Four radiologists assessed the realistic visual appearance of the simulated images. RESULTS: Image characteristics of simulated low dose scans were similar to the originals. Mean overall discrepancy of image noise and CT values was −1.2% (range −9% to 3.2%) and −0.2% (range −8.2% to 3.2%), respectively, p>0.05. Confidence intervals of discrepancies ranged between 0.9–10.2 HU (noise) and 1.9–13.4 HU (CT values), without significant differences (p>0.05). Subjective observer evaluation of image appearance showed no visually detectable difference. CONCLUSION: Simulated low dose images showed excellent agreement with the originals concerning image noise, CT density values, and subjective assessment of the visual appearance of the simulated images. An authentic low-dose simulation opens up opportunity with regard to staff education, protocol optimization and introduction of new techniques. Public Library of Science 2014-09-23 /pmc/articles/PMC4172631/ /pubmed/25247422 http://dx.doi.org/10.1371/journal.pone.0107843 Text en © 2014 Muenzel et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Muenzel, Daniela Koehler, Thomas Brown, Kevin Žabić, Stanislav Fingerle, Alexander A. Waldt, Simone Bendik, Edgar Zahel, Tina Schneider, Armin Dobritz, Martin Rummeny, Ernst J. Noël, Peter B. Validation of a Low Dose Simulation Technique for Computed Tomography Images |
title | Validation of a Low Dose Simulation Technique for Computed Tomography Images |
title_full | Validation of a Low Dose Simulation Technique for Computed Tomography Images |
title_fullStr | Validation of a Low Dose Simulation Technique for Computed Tomography Images |
title_full_unstemmed | Validation of a Low Dose Simulation Technique for Computed Tomography Images |
title_short | Validation of a Low Dose Simulation Technique for Computed Tomography Images |
title_sort | validation of a low dose simulation technique for computed tomography images |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4172631/ https://www.ncbi.nlm.nih.gov/pubmed/25247422 http://dx.doi.org/10.1371/journal.pone.0107843 |
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