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Influence of model based iterative reconstruction algorithm on image quality of multiplanar reformations in reduced dose chest CT

BACKGROUND: Model-based iterative reconstruction (MBIR) reduces image noise and improves image quality (IQ) but its influence on post-processing tools including maximal intensity projection (MIP) and minimal intensity projection (mIP) remains unknown. PURPOSE: To evaluate the influence on IQ of MBIR...

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Autores principales: Barras, Heloise, Dunet, Vincent, Hachulla, Anne-Lise, Grimm, Jochen, Beigelman-Aubry, Catherine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5012508/
https://www.ncbi.nlm.nih.gov/pubmed/27635253
http://dx.doi.org/10.1177/2058460116662299
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author Barras, Heloise
Dunet, Vincent
Hachulla, Anne-Lise
Grimm, Jochen
Beigelman-Aubry, Catherine
author_facet Barras, Heloise
Dunet, Vincent
Hachulla, Anne-Lise
Grimm, Jochen
Beigelman-Aubry, Catherine
author_sort Barras, Heloise
collection PubMed
description BACKGROUND: Model-based iterative reconstruction (MBIR) reduces image noise and improves image quality (IQ) but its influence on post-processing tools including maximal intensity projection (MIP) and minimal intensity projection (mIP) remains unknown. PURPOSE: To evaluate the influence on IQ of MBIR on native, mIP, MIP axial and coronal reformats of reduced dose computed tomography (RD-CT) chest acquisition. MATERIAL AND METHODS: Raw data of 50 patients, who underwent a standard dose CT (SD-CT) and a follow-up RD-CT with a CT dose index (CTDI) of 2–3 mGy, were reconstructed by MBIR and FBP. Native slices, 4-mm-thick MIP, and 3-mm-thick mIP axial and coronal reformats were generated. The relative IQ, subjective IQ, image noise, and number of artifacts were determined in order to compare different reconstructions of RD-CT with reference SD-CT. RESULTS: The lowest noise was observed with MBIR. RD-CT reconstructed by MBIR exhibited the best relative and subjective IQ on coronal view regardless of the post-processing tool. MBIR generated the lowest rate of artefacts on coronal mIP/MIP reformats and the highest one on axial reformats, mainly represented by distortions and stairsteps artifacts. CONCLUSION: The MBIR algorithm reduces image noise but generates more artifacts than FBP on axial mIP and MIP reformats of RD-CT. Conversely, it significantly improves IQ on coronal views, without increasing artifacts, regardless of the post-processing technique.
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spelling pubmed-50125082016-09-15 Influence of model based iterative reconstruction algorithm on image quality of multiplanar reformations in reduced dose chest CT Barras, Heloise Dunet, Vincent Hachulla, Anne-Lise Grimm, Jochen Beigelman-Aubry, Catherine Acta Radiol Open Research BACKGROUND: Model-based iterative reconstruction (MBIR) reduces image noise and improves image quality (IQ) but its influence on post-processing tools including maximal intensity projection (MIP) and minimal intensity projection (mIP) remains unknown. PURPOSE: To evaluate the influence on IQ of MBIR on native, mIP, MIP axial and coronal reformats of reduced dose computed tomography (RD-CT) chest acquisition. MATERIAL AND METHODS: Raw data of 50 patients, who underwent a standard dose CT (SD-CT) and a follow-up RD-CT with a CT dose index (CTDI) of 2–3 mGy, were reconstructed by MBIR and FBP. Native slices, 4-mm-thick MIP, and 3-mm-thick mIP axial and coronal reformats were generated. The relative IQ, subjective IQ, image noise, and number of artifacts were determined in order to compare different reconstructions of RD-CT with reference SD-CT. RESULTS: The lowest noise was observed with MBIR. RD-CT reconstructed by MBIR exhibited the best relative and subjective IQ on coronal view regardless of the post-processing tool. MBIR generated the lowest rate of artefacts on coronal mIP/MIP reformats and the highest one on axial reformats, mainly represented by distortions and stairsteps artifacts. CONCLUSION: The MBIR algorithm reduces image noise but generates more artifacts than FBP on axial mIP and MIP reformats of RD-CT. Conversely, it significantly improves IQ on coronal views, without increasing artifacts, regardless of the post-processing technique. SAGE Publications 2016-08-24 /pmc/articles/PMC5012508/ /pubmed/27635253 http://dx.doi.org/10.1177/2058460116662299 Text en © The Foundation Acta Radiologica 2016 http://creativecommons.org/licenses/by-nc/3.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 3.0 License (http://www.creativecommons.org/licenses/by-nc/3.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page(https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Research
Barras, Heloise
Dunet, Vincent
Hachulla, Anne-Lise
Grimm, Jochen
Beigelman-Aubry, Catherine
Influence of model based iterative reconstruction algorithm on image quality of multiplanar reformations in reduced dose chest CT
title Influence of model based iterative reconstruction algorithm on image quality of multiplanar reformations in reduced dose chest CT
title_full Influence of model based iterative reconstruction algorithm on image quality of multiplanar reformations in reduced dose chest CT
title_fullStr Influence of model based iterative reconstruction algorithm on image quality of multiplanar reformations in reduced dose chest CT
title_full_unstemmed Influence of model based iterative reconstruction algorithm on image quality of multiplanar reformations in reduced dose chest CT
title_short Influence of model based iterative reconstruction algorithm on image quality of multiplanar reformations in reduced dose chest CT
title_sort influence of model based iterative reconstruction algorithm on image quality of multiplanar reformations in reduced dose chest ct
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5012508/
https://www.ncbi.nlm.nih.gov/pubmed/27635253
http://dx.doi.org/10.1177/2058460116662299
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