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Assessment of brain volumes obtained from MP-RAGE and MP2RAGE images, quantified using different segmentation methods
Objective For clinical purposes and research projects in neurological disease, it is of interest to evaluate the performance and comparability of available sequences and software packages for brain volume assessment to determine whether they provide equivalent results. This study compares cross-sect...
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Published in: | Magma (New York, N.Y.) N.Y.), 2020-12, Vol.33 (6), p.757-767 |
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creator | Alonso, Juli Pareto, Deborah Alberich, Manel Kober, Tobias Maréchal, Bénédicte Lladó, Xavier Rovira, Alex |
description | Objective
For clinical purposes and research projects in neurological disease, it is of interest to evaluate the performance and comparability of available sequences and software packages for brain volume assessment to determine whether they provide equivalent results. This study compares cross-sectional brain volume values derived from images obtained with MP-RAGE or MP2RAGE sequences, using SIENA/X, SPM, or MorphoBox.
Materials and methods
MP-RAGE and MP2RAGE T1-weighted images were obtained from 24 healthy volunteers. Back-to-back scans were performed in 12 of them. Brain volumes, coefficients of variation, and concordance coefficients were determined.
Results
Significant differences were found for most brain volumes derived from MP-RAGE and MP2RAGE images. MP2RAGE-derived measures showed a non-significant trend to larger coefficients of variation. There were statistical differences between brain volumes determined with the three software packages, whereas coefficients of variation were comparable for most brain volumes. Correlation and concordance values were lower for CSF and brain parenchyma fraction measures.
Conclusion
The results obtained advise caution when comparing brain volumes obtained by different sequences and software packages. Of note, for most brain volume measures, the MP2RAGE and MorphoBox coefficients of variation were similar to those obtained with MP-RAGE, SIENA/X or SPM, accepted tools for clinical research. |
doi_str_mv | 10.1007/s10334-020-00854-4 |
format | article |
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For clinical purposes and research projects in neurological disease, it is of interest to evaluate the performance and comparability of available sequences and software packages for brain volume assessment to determine whether they provide equivalent results. This study compares cross-sectional brain volume values derived from images obtained with MP-RAGE or MP2RAGE sequences, using SIENA/X, SPM, or MorphoBox.
Materials and methods
MP-RAGE and MP2RAGE T1-weighted images were obtained from 24 healthy volunteers. Back-to-back scans were performed in 12 of them. Brain volumes, coefficients of variation, and concordance coefficients were determined.
Results
Significant differences were found for most brain volumes derived from MP-RAGE and MP2RAGE images. MP2RAGE-derived measures showed a non-significant trend to larger coefficients of variation. There were statistical differences between brain volumes determined with the three software packages, whereas coefficients of variation were comparable for most brain volumes. Correlation and concordance values were lower for CSF and brain parenchyma fraction measures.
Conclusion
The results obtained advise caution when comparing brain volumes obtained by different sequences and software packages. Of note, for most brain volume measures, the MP2RAGE and MorphoBox coefficients of variation were similar to those obtained with MP-RAGE, SIENA/X or SPM, accepted tools for clinical research.</description><identifier>ISSN: 0968-5243</identifier><identifier>EISSN: 1352-8661</identifier><identifier>DOI: 10.1007/s10334-020-00854-4</identifier><identifier>PMID: 32468150</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Basic Science - Image analysis ; Biomedical Engineering and Bioengineering ; Computer Appl. in Life Sciences ; Health Informatics ; Imaging ; Medicine ; Medicine & Public Health ; Radiology ; Research Article ; Solid State Physics</subject><ispartof>Magma (New York, N.Y.), 2020-12, Vol.33 (6), p.757-767</ispartof><rights>European Society for Magnetic Resonance in Medicine and Biology (ESMRMB) 2020</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c450t-acaab4fde0e477b59d6034fbf65e20668d7508e455a466f38a1c6cacbbb37e6a3</citedby><cites>FETCH-LOGICAL-c450t-acaab4fde0e477b59d6034fbf65e20668d7508e455a466f38a1c6cacbbb37e6a3</cites><orcidid>0000-0001-7356-3769 ; 0000-0002-2132-6750 ; 0000-0003-2777-3479 ; 0000-0002-0828-2925 ; 0000-0001-7598-9456 ; 0000-0001-7866-2854 ; 0000-0002-4132-0620</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32468150$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Alonso, Juli</creatorcontrib><creatorcontrib>Pareto, Deborah</creatorcontrib><creatorcontrib>Alberich, Manel</creatorcontrib><creatorcontrib>Kober, Tobias</creatorcontrib><creatorcontrib>Maréchal, Bénédicte</creatorcontrib><creatorcontrib>Lladó, Xavier</creatorcontrib><creatorcontrib>Rovira, Alex</creatorcontrib><title>Assessment of brain volumes obtained from MP-RAGE and MP2RAGE images, quantified using different segmentation methods</title><title>Magma (New York, N.Y.)</title><addtitle>Magn Reson Mater Phy</addtitle><addtitle>MAGMA</addtitle><description>Objective
For clinical purposes and research projects in neurological disease, it is of interest to evaluate the performance and comparability of available sequences and software packages for brain volume assessment to determine whether they provide equivalent results. This study compares cross-sectional brain volume values derived from images obtained with MP-RAGE or MP2RAGE sequences, using SIENA/X, SPM, or MorphoBox.
Materials and methods
MP-RAGE and MP2RAGE T1-weighted images were obtained from 24 healthy volunteers. Back-to-back scans were performed in 12 of them. Brain volumes, coefficients of variation, and concordance coefficients were determined.
Results
Significant differences were found for most brain volumes derived from MP-RAGE and MP2RAGE images. MP2RAGE-derived measures showed a non-significant trend to larger coefficients of variation. There were statistical differences between brain volumes determined with the three software packages, whereas coefficients of variation were comparable for most brain volumes. Correlation and concordance values were lower for CSF and brain parenchyma fraction measures.
Conclusion
The results obtained advise caution when comparing brain volumes obtained by different sequences and software packages. Of note, for most brain volume measures, the MP2RAGE and MorphoBox coefficients of variation were similar to those obtained with MP-RAGE, SIENA/X or SPM, accepted tools for clinical research.</description><subject>Basic Science - Image analysis</subject><subject>Biomedical Engineering and Bioengineering</subject><subject>Computer Appl. in Life Sciences</subject><subject>Health Informatics</subject><subject>Imaging</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Radiology</subject><subject>Research Article</subject><subject>Solid State Physics</subject><issn>0968-5243</issn><issn>1352-8661</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp9kE1P3DAQhq2qFWwpf6CHysceapj4K9njClFaCdQK0bNlJ-Nt0MYGT4LUf4-XpT325Neadx5pHsY-NnDWALTn1IBSWoAEAdAZLfQbtmqUkaKztnnLVrC2nTBSq2P2nugeQDYG1BE7VlLbruYVWzZESDRhmnmOPBQ_Jv6Ud8uExHOY6xcHHkue-M1Pcbu5uuQ-DTXLlzxOfov0hT8uPs1jHGt3oTFt-TDGiGVPJdzu6X4ec-ITzr_zQB_Yu-h3hKev7wn79fXy7uKbuP5x9f1icy16bWAWvvc-6DggoG7bYNaDBaVjiNagBGu7oTXQoTbGa2uj6nzT2973IQTVovXqhH0-cB9KflyQZjeN1ONu5xPmhZzU0ElozVrVqjxU-5KJCkb3UOp15Y9rwO11u4NuV3W7F91O16VPr_wlTDj8W_nrtxbUoUB1lLZY3H1eSqo3_w_7DOT5i98</recordid><startdate>20201201</startdate><enddate>20201201</enddate><creator>Alonso, Juli</creator><creator>Pareto, Deborah</creator><creator>Alberich, Manel</creator><creator>Kober, Tobias</creator><creator>Maréchal, Bénédicte</creator><creator>Lladó, Xavier</creator><creator>Rovira, Alex</creator><general>Springer International Publishing</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-7356-3769</orcidid><orcidid>https://orcid.org/0000-0002-2132-6750</orcidid><orcidid>https://orcid.org/0000-0003-2777-3479</orcidid><orcidid>https://orcid.org/0000-0002-0828-2925</orcidid><orcidid>https://orcid.org/0000-0001-7598-9456</orcidid><orcidid>https://orcid.org/0000-0001-7866-2854</orcidid><orcidid>https://orcid.org/0000-0002-4132-0620</orcidid></search><sort><creationdate>20201201</creationdate><title>Assessment of brain volumes obtained from MP-RAGE and MP2RAGE images, quantified using different segmentation methods</title><author>Alonso, Juli ; Pareto, Deborah ; Alberich, Manel ; Kober, Tobias ; Maréchal, Bénédicte ; Lladó, Xavier ; Rovira, Alex</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c450t-acaab4fde0e477b59d6034fbf65e20668d7508e455a466f38a1c6cacbbb37e6a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Basic Science - Image analysis</topic><topic>Biomedical Engineering and Bioengineering</topic><topic>Computer Appl. in Life Sciences</topic><topic>Health Informatics</topic><topic>Imaging</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Radiology</topic><topic>Research Article</topic><topic>Solid State Physics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Alonso, Juli</creatorcontrib><creatorcontrib>Pareto, Deborah</creatorcontrib><creatorcontrib>Alberich, Manel</creatorcontrib><creatorcontrib>Kober, Tobias</creatorcontrib><creatorcontrib>Maréchal, Bénédicte</creatorcontrib><creatorcontrib>Lladó, Xavier</creatorcontrib><creatorcontrib>Rovira, Alex</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Magma (New York, N.Y.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Alonso, Juli</au><au>Pareto, Deborah</au><au>Alberich, Manel</au><au>Kober, Tobias</au><au>Maréchal, Bénédicte</au><au>Lladó, Xavier</au><au>Rovira, Alex</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessment of brain volumes obtained from MP-RAGE and MP2RAGE images, quantified using different segmentation methods</atitle><jtitle>Magma (New York, N.Y.)</jtitle><stitle>Magn Reson Mater Phy</stitle><addtitle>MAGMA</addtitle><date>2020-12-01</date><risdate>2020</risdate><volume>33</volume><issue>6</issue><spage>757</spage><epage>767</epage><pages>757-767</pages><issn>0968-5243</issn><eissn>1352-8661</eissn><abstract>Objective
For clinical purposes and research projects in neurological disease, it is of interest to evaluate the performance and comparability of available sequences and software packages for brain volume assessment to determine whether they provide equivalent results. This study compares cross-sectional brain volume values derived from images obtained with MP-RAGE or MP2RAGE sequences, using SIENA/X, SPM, or MorphoBox.
Materials and methods
MP-RAGE and MP2RAGE T1-weighted images were obtained from 24 healthy volunteers. Back-to-back scans were performed in 12 of them. Brain volumes, coefficients of variation, and concordance coefficients were determined.
Results
Significant differences were found for most brain volumes derived from MP-RAGE and MP2RAGE images. MP2RAGE-derived measures showed a non-significant trend to larger coefficients of variation. There were statistical differences between brain volumes determined with the three software packages, whereas coefficients of variation were comparable for most brain volumes. Correlation and concordance values were lower for CSF and brain parenchyma fraction measures.
Conclusion
The results obtained advise caution when comparing brain volumes obtained by different sequences and software packages. Of note, for most brain volume measures, the MP2RAGE and MorphoBox coefficients of variation were similar to those obtained with MP-RAGE, SIENA/X or SPM, accepted tools for clinical research.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>32468150</pmid><doi>10.1007/s10334-020-00854-4</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0001-7356-3769</orcidid><orcidid>https://orcid.org/0000-0002-2132-6750</orcidid><orcidid>https://orcid.org/0000-0003-2777-3479</orcidid><orcidid>https://orcid.org/0000-0002-0828-2925</orcidid><orcidid>https://orcid.org/0000-0001-7598-9456</orcidid><orcidid>https://orcid.org/0000-0001-7866-2854</orcidid><orcidid>https://orcid.org/0000-0002-4132-0620</orcidid></addata></record> |
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subjects | Basic Science - Image analysis Biomedical Engineering and Bioengineering Computer Appl. in Life Sciences Health Informatics Imaging Medicine Medicine & Public Health Radiology Research Article Solid State Physics |
title | Assessment of brain volumes obtained from MP-RAGE and MP2RAGE images, quantified using different segmentation methods |
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