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Effect of MRI acquisition acceleration via compressed sensing and parallel imaging on brain volumetry
OBJECTIVES: To investigate the effect of compressed SENSE (CS), an acceleration technique combining parallel imaging and compressed sensing, on potential bias and precision of brain volumetry and evaluate it in the context of normative brain volumetry. MATERIALS AND METHODS: In total, 171 scans from...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8338844/ https://www.ncbi.nlm.nih.gov/pubmed/33502667 http://dx.doi.org/10.1007/s10334-020-00906-9 |
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author | Dieckmeyer, Michael Roy, Abhijit Guha Senapati, Jyotirmay Wachinger, Christian Grundl, Lioba Döpfert, Jörg Bertran, Pere Ferrera Lemke, Andreas Zimmer, Claus Kirschke, Jan S. Hedderich, Dennis M. |
author_facet | Dieckmeyer, Michael Roy, Abhijit Guha Senapati, Jyotirmay Wachinger, Christian Grundl, Lioba Döpfert, Jörg Bertran, Pere Ferrera Lemke, Andreas Zimmer, Claus Kirschke, Jan S. Hedderich, Dennis M. |
author_sort | Dieckmeyer, Michael |
collection | PubMed |
description | OBJECTIVES: To investigate the effect of compressed SENSE (CS), an acceleration technique combining parallel imaging and compressed sensing, on potential bias and precision of brain volumetry and evaluate it in the context of normative brain volumetry. MATERIALS AND METHODS: In total, 171 scans from scan-rescan experiments on three healthy subjects were analyzed. Each subject received 3D-T1-weighted brain MRI scans at increasing degrees of acceleration (CS-factor = 1/4/8/12/16/20/32). Single-scan acquisition times ranged from 00:41 min (CS-factor = 32) to 21:52 min (CS-factor = 1). Brain segmentation and volumetry was performed using two different software tools: md.brain, a proprietary software based on voxel-based morphometry, and FreeSurfer, an open-source software based on surface-based morphometry. Four sub-volumes were analyzed: brain parenchyma (BP), total gray matter, total white matter, and cerebrospinal fluid (CSF). Coefficient of variation (CoV) of the repeated measurements as a measure of intra-subject reliability was calculated. Intraclass correlation coefficient (ICC) with regard to increasing CS-factor was calculated as another measure of reliability. Noise-to-contrast ratio as a measure of image quality was calculated for each dataset to analyze the association between acceleration factor, noise and volumetric brain measurements. RESULTS: For all sub-volumes, there is a systematic bias proportional to the CS-factor which is dependent on the utilized software and subvolume. Measured volumes deviated significantly from the reference standard (CS-factor = 1), e.g. ranging from 1 to 13% for BP. The CS-induced systematic bias is driven by increased image noise. Except for CSF, reliability of brain volumetry remains high, demonstrated by low CoV (< 1% for CS-factor up to 20) and good to excellent ICC for CS-factor up to 12. CONCLUSION: CS-acceleration has a systematic biasing effect on volumetric brain measurements. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10334-020-00906-9. |
format | Online Article Text |
id | pubmed-8338844 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-83388442021-08-20 Effect of MRI acquisition acceleration via compressed sensing and parallel imaging on brain volumetry Dieckmeyer, Michael Roy, Abhijit Guha Senapati, Jyotirmay Wachinger, Christian Grundl, Lioba Döpfert, Jörg Bertran, Pere Ferrera Lemke, Andreas Zimmer, Claus Kirschke, Jan S. Hedderich, Dennis M. MAGMA Research Article OBJECTIVES: To investigate the effect of compressed SENSE (CS), an acceleration technique combining parallel imaging and compressed sensing, on potential bias and precision of brain volumetry and evaluate it in the context of normative brain volumetry. MATERIALS AND METHODS: In total, 171 scans from scan-rescan experiments on three healthy subjects were analyzed. Each subject received 3D-T1-weighted brain MRI scans at increasing degrees of acceleration (CS-factor = 1/4/8/12/16/20/32). Single-scan acquisition times ranged from 00:41 min (CS-factor = 32) to 21:52 min (CS-factor = 1). Brain segmentation and volumetry was performed using two different software tools: md.brain, a proprietary software based on voxel-based morphometry, and FreeSurfer, an open-source software based on surface-based morphometry. Four sub-volumes were analyzed: brain parenchyma (BP), total gray matter, total white matter, and cerebrospinal fluid (CSF). Coefficient of variation (CoV) of the repeated measurements as a measure of intra-subject reliability was calculated. Intraclass correlation coefficient (ICC) with regard to increasing CS-factor was calculated as another measure of reliability. Noise-to-contrast ratio as a measure of image quality was calculated for each dataset to analyze the association between acceleration factor, noise and volumetric brain measurements. RESULTS: For all sub-volumes, there is a systematic bias proportional to the CS-factor which is dependent on the utilized software and subvolume. Measured volumes deviated significantly from the reference standard (CS-factor = 1), e.g. ranging from 1 to 13% for BP. The CS-induced systematic bias is driven by increased image noise. Except for CSF, reliability of brain volumetry remains high, demonstrated by low CoV (< 1% for CS-factor up to 20) and good to excellent ICC for CS-factor up to 12. CONCLUSION: CS-acceleration has a systematic biasing effect on volumetric brain measurements. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10334-020-00906-9. Springer International Publishing 2021-01-27 2021 /pmc/articles/PMC8338844/ /pubmed/33502667 http://dx.doi.org/10.1007/s10334-020-00906-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Article Dieckmeyer, Michael Roy, Abhijit Guha Senapati, Jyotirmay Wachinger, Christian Grundl, Lioba Döpfert, Jörg Bertran, Pere Ferrera Lemke, Andreas Zimmer, Claus Kirschke, Jan S. Hedderich, Dennis M. Effect of MRI acquisition acceleration via compressed sensing and parallel imaging on brain volumetry |
title | Effect of MRI acquisition acceleration via compressed sensing and parallel imaging on brain volumetry |
title_full | Effect of MRI acquisition acceleration via compressed sensing and parallel imaging on brain volumetry |
title_fullStr | Effect of MRI acquisition acceleration via compressed sensing and parallel imaging on brain volumetry |
title_full_unstemmed | Effect of MRI acquisition acceleration via compressed sensing and parallel imaging on brain volumetry |
title_short | Effect of MRI acquisition acceleration via compressed sensing and parallel imaging on brain volumetry |
title_sort | effect of mri acquisition acceleration via compressed sensing and parallel imaging on brain volumetry |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8338844/ https://www.ncbi.nlm.nih.gov/pubmed/33502667 http://dx.doi.org/10.1007/s10334-020-00906-9 |
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