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PATIENT EXPOSURE OPTIMISATION THROUGH TASK-BASED ASSESSMENT OF A NEW MODEL-BASED ITERATIVE RECONSTRUCTION TECHNIQUE

The goal of the present work was to report and investigate the performances of a new iterative reconstruction algorithm, using a model observer. For that, a dedicated low-contrast phantom containing different targets was scanned at four volume computed tomography dose index (CTDI(vol)) levels on a S...

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Autores principales: Ott, Julien G., Ba, Alexandre, Racine, Damien, Ryckx, Nick, Bochud, François O., Alkadhi, Hatem, Verdun, Francis R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4911965/
https://www.ncbi.nlm.nih.gov/pubmed/26962148
http://dx.doi.org/10.1093/rpd/ncw019
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author Ott, Julien G.
Ba, Alexandre
Racine, Damien
Ryckx, Nick
Bochud, François O.
Alkadhi, Hatem
Verdun, Francis R.
author_facet Ott, Julien G.
Ba, Alexandre
Racine, Damien
Ryckx, Nick
Bochud, François O.
Alkadhi, Hatem
Verdun, Francis R.
author_sort Ott, Julien G.
collection PubMed
description The goal of the present work was to report and investigate the performances of a new iterative reconstruction algorithm, using a model observer. For that, a dedicated low-contrast phantom containing different targets was scanned at four volume computed tomography dose index (CTDI(vol)) levels on a Siemens SOMATOM Force computed tomography (CT). The acquired images were reconstructed using the ADMIRE algorithm and were then assessed by three human observers who performed alternative forced choice experiments. Next, a channelised hotelling observer model was applied on the same set of images. The comparison between the two was performed using the percentage correct as a figure of merit. The results indicated a strong agreement between human and model observer as well as an improvement in the low-contrast detection when switching from an ADMIRE strength of 1–3. Good results were also observed even in situations where the target was hard to detect, suggesting that patient dose could be further reduced and optimised.
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spelling pubmed-49119652016-06-20 PATIENT EXPOSURE OPTIMISATION THROUGH TASK-BASED ASSESSMENT OF A NEW MODEL-BASED ITERATIVE RECONSTRUCTION TECHNIQUE Ott, Julien G. Ba, Alexandre Racine, Damien Ryckx, Nick Bochud, François O. Alkadhi, Hatem Verdun, Francis R. Radiat Prot Dosimetry Paper The goal of the present work was to report and investigate the performances of a new iterative reconstruction algorithm, using a model observer. For that, a dedicated low-contrast phantom containing different targets was scanned at four volume computed tomography dose index (CTDI(vol)) levels on a Siemens SOMATOM Force computed tomography (CT). The acquired images were reconstructed using the ADMIRE algorithm and were then assessed by three human observers who performed alternative forced choice experiments. Next, a channelised hotelling observer model was applied on the same set of images. The comparison between the two was performed using the percentage correct as a figure of merit. The results indicated a strong agreement between human and model observer as well as an improvement in the low-contrast detection when switching from an ADMIRE strength of 1–3. Good results were also observed even in situations where the target was hard to detect, suggesting that patient dose could be further reduced and optimised. Oxford University Press 2016-06 2016-06-07 /pmc/articles/PMC4911965/ /pubmed/26962148 http://dx.doi.org/10.1093/rpd/ncw019 Text en © The Author 2016. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Paper
Ott, Julien G.
Ba, Alexandre
Racine, Damien
Ryckx, Nick
Bochud, François O.
Alkadhi, Hatem
Verdun, Francis R.
PATIENT EXPOSURE OPTIMISATION THROUGH TASK-BASED ASSESSMENT OF A NEW MODEL-BASED ITERATIVE RECONSTRUCTION TECHNIQUE
title PATIENT EXPOSURE OPTIMISATION THROUGH TASK-BASED ASSESSMENT OF A NEW MODEL-BASED ITERATIVE RECONSTRUCTION TECHNIQUE
title_full PATIENT EXPOSURE OPTIMISATION THROUGH TASK-BASED ASSESSMENT OF A NEW MODEL-BASED ITERATIVE RECONSTRUCTION TECHNIQUE
title_fullStr PATIENT EXPOSURE OPTIMISATION THROUGH TASK-BASED ASSESSMENT OF A NEW MODEL-BASED ITERATIVE RECONSTRUCTION TECHNIQUE
title_full_unstemmed PATIENT EXPOSURE OPTIMISATION THROUGH TASK-BASED ASSESSMENT OF A NEW MODEL-BASED ITERATIVE RECONSTRUCTION TECHNIQUE
title_short PATIENT EXPOSURE OPTIMISATION THROUGH TASK-BASED ASSESSMENT OF A NEW MODEL-BASED ITERATIVE RECONSTRUCTION TECHNIQUE
title_sort patient exposure optimisation through task-based assessment of a new model-based iterative reconstruction technique
topic Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4911965/
https://www.ncbi.nlm.nih.gov/pubmed/26962148
http://dx.doi.org/10.1093/rpd/ncw019
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