Reduced cross-scanner variability using vendor-agnostic sequences for single-shell diffusion MRI
To reduce the inter-scanner variability of diffusion MRI (dMRI) measures between scanners from different vendors by developing a vendor-neutral dMRI pulse sequence using the open-source vendor-agnostic Pulseq platform. We implemented a standard EPI based dMRI sequence in Pulseq. We tested it on two...
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Veröffentlicht in: | Magnetic resonance in medicine 2024-07, Vol.92 (1), p.246-256 |
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container_title | Magnetic resonance in medicine |
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creator | Liu, Qiang Ning, Lipeng Shaik, Imam Ahmed Liao, Congyu Gagoski, Borjan Bilgic, Berkin Grissom, William Nielsen, Jon-Fredrik Zaitsev, Maxim Rathi, Yogesh |
description | To reduce the inter-scanner variability of diffusion MRI (dMRI) measures between scanners from different vendors by developing a vendor-neutral dMRI pulse sequence using the open-source vendor-agnostic Pulseq platform.
We implemented a standard EPI based dMRI sequence in Pulseq. We tested it on two clinical scanners from different vendors (Siemens Prisma and GE Premier), systematically evaluating and comparing the within- and inter-scanner variability across the vendors, using both the vendor-provided and Pulseq dMRI sequences. Assessments covered both a diffusion phantom and three human subjects, using standard error (SE) and Lin's concordance correlation to measure the repeatability and reproducibility of standard DTI metrics including fractional anisotropy (FA) and mean diffusivity (MD).
Identical dMRI sequences were executed on both scanners using Pulseq. On the phantom, the Pulseq sequence showed more than a 2.5× reduction in SE (variability) across Siemens and GE scanners. Furthermore, Pulseq sequences exhibited markedly reduced SE in-vivo, maintaining scan-rescan repeatability while delivering lower variability in FA and MD (more than 50% reduction in cortical/subcortical regions) compared to vendor-provided sequences.
The Pulseq diffusion sequence reduces the cross-scanner variability for both phantom and in-vivo data, which will benefit multi-center neuroimaging studies and improve the reproducibility of neuroimaging studies. |
doi_str_mv | 10.1002/mrm.30062 |
format | Article |
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We implemented a standard EPI based dMRI sequence in Pulseq. We tested it on two clinical scanners from different vendors (Siemens Prisma and GE Premier), systematically evaluating and comparing the within- and inter-scanner variability across the vendors, using both the vendor-provided and Pulseq dMRI sequences. Assessments covered both a diffusion phantom and three human subjects, using standard error (SE) and Lin's concordance correlation to measure the repeatability and reproducibility of standard DTI metrics including fractional anisotropy (FA) and mean diffusivity (MD).
Identical dMRI sequences were executed on both scanners using Pulseq. On the phantom, the Pulseq sequence showed more than a 2.5× reduction in SE (variability) across Siemens and GE scanners. Furthermore, Pulseq sequences exhibited markedly reduced SE in-vivo, maintaining scan-rescan repeatability while delivering lower variability in FA and MD (more than 50% reduction in cortical/subcortical regions) compared to vendor-provided sequences.
The Pulseq diffusion sequence reduces the cross-scanner variability for both phantom and in-vivo data, which will benefit multi-center neuroimaging studies and improve the reproducibility of neuroimaging studies.</description><identifier>ISSN: 0740-3194</identifier><identifier>EISSN: 1522-2594</identifier><identifier>DOI: 10.1002/mrm.30062</identifier><identifier>PMID: 38469671</identifier><language>eng</language><publisher>United States: Wiley Subscription Services, Inc</publisher><subject>Anisotropy ; Magnetic resonance imaging ; Medical imaging ; Neuroimaging ; Reproducibility ; Scanners ; Standard error ; Variability</subject><ispartof>Magnetic resonance in medicine, 2024-07, Vol.92 (1), p.246-256</ispartof><rights>2024 International Society for Magnetic Resonance in Medicine.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c273t-c3496a8637e3f161a014f01401a4bf37efa5d78ddfa2a1187704ea63e61a87263</cites><orcidid>0000-0003-3777-2621 ; 0009-0007-6818-0115 ; 0000-0003-2270-276X ; 0000-0002-9080-7865</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/38469671$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Liu, Qiang</creatorcontrib><creatorcontrib>Ning, Lipeng</creatorcontrib><creatorcontrib>Shaik, Imam Ahmed</creatorcontrib><creatorcontrib>Liao, Congyu</creatorcontrib><creatorcontrib>Gagoski, Borjan</creatorcontrib><creatorcontrib>Bilgic, Berkin</creatorcontrib><creatorcontrib>Grissom, William</creatorcontrib><creatorcontrib>Nielsen, Jon-Fredrik</creatorcontrib><creatorcontrib>Zaitsev, Maxim</creatorcontrib><creatorcontrib>Rathi, Yogesh</creatorcontrib><title>Reduced cross-scanner variability using vendor-agnostic sequences for single-shell diffusion MRI</title><title>Magnetic resonance in medicine</title><addtitle>Magn Reson Med</addtitle><description>To reduce the inter-scanner variability of diffusion MRI (dMRI) measures between scanners from different vendors by developing a vendor-neutral dMRI pulse sequence using the open-source vendor-agnostic Pulseq platform.
We implemented a standard EPI based dMRI sequence in Pulseq. We tested it on two clinical scanners from different vendors (Siemens Prisma and GE Premier), systematically evaluating and comparing the within- and inter-scanner variability across the vendors, using both the vendor-provided and Pulseq dMRI sequences. Assessments covered both a diffusion phantom and three human subjects, using standard error (SE) and Lin's concordance correlation to measure the repeatability and reproducibility of standard DTI metrics including fractional anisotropy (FA) and mean diffusivity (MD).
Identical dMRI sequences were executed on both scanners using Pulseq. On the phantom, the Pulseq sequence showed more than a 2.5× reduction in SE (variability) across Siemens and GE scanners. Furthermore, Pulseq sequences exhibited markedly reduced SE in-vivo, maintaining scan-rescan repeatability while delivering lower variability in FA and MD (more than 50% reduction in cortical/subcortical regions) compared to vendor-provided sequences.
The Pulseq diffusion sequence reduces the cross-scanner variability for both phantom and in-vivo data, which will benefit multi-center neuroimaging studies and improve the reproducibility of neuroimaging studies.</description><subject>Anisotropy</subject><subject>Magnetic resonance imaging</subject><subject>Medical imaging</subject><subject>Neuroimaging</subject><subject>Reproducibility</subject><subject>Scanners</subject><subject>Standard error</subject><subject>Variability</subject><issn>0740-3194</issn><issn>1522-2594</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNpdkMtKAzEUhoMotlYXvoAE3Ohiam6TTJZSvBQUoeg6pjNJnTKT1GSm0Lc3vejCxeHA4Ts_Px8AlxiNMULkrg3tmCLEyREY4pyQjOSSHYMhEgxlFEs2AGcxLhFCUgp2Cga0YFxygYfgc2aqvjQVLIOPMYulds4EuNah1vO6qbsN7GPtFnBtXOVDphfOx64uYTTfvXGlidD6ALdIY7L4ZZoGVrW16ck7-DqbnoMTq5toLg57BD4eH94nz9nL29N0cv-SlUTQLispk1wXnApDLeZYI8xsGoQ1m9t0tTqvRFFVVhONcSEEYkZzahJaCMLpCNzsc1fBp2axU20dy1RHO-P7qIjMOc4LSmRCr_-hS98Hl9opipIYKZHEibrdUzszwVi1CnWrw0ZhpLbaVdKudtoTe3VI7Oetqf7IX8_0B5FvfXE</recordid><startdate>20240701</startdate><enddate>20240701</enddate><creator>Liu, Qiang</creator><creator>Ning, Lipeng</creator><creator>Shaik, Imam Ahmed</creator><creator>Liao, Congyu</creator><creator>Gagoski, Borjan</creator><creator>Bilgic, Berkin</creator><creator>Grissom, William</creator><creator>Nielsen, Jon-Fredrik</creator><creator>Zaitsev, Maxim</creator><creator>Rathi, Yogesh</creator><general>Wiley Subscription Services, Inc</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>FR3</scope><scope>K9.</scope><scope>M7Z</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-3777-2621</orcidid><orcidid>https://orcid.org/0009-0007-6818-0115</orcidid><orcidid>https://orcid.org/0000-0003-2270-276X</orcidid><orcidid>https://orcid.org/0000-0002-9080-7865</orcidid></search><sort><creationdate>20240701</creationdate><title>Reduced cross-scanner variability using vendor-agnostic sequences for single-shell diffusion MRI</title><author>Liu, Qiang ; Ning, Lipeng ; Shaik, Imam Ahmed ; Liao, Congyu ; Gagoski, Borjan ; Bilgic, Berkin ; Grissom, William ; Nielsen, Jon-Fredrik ; Zaitsev, Maxim ; Rathi, Yogesh</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c273t-c3496a8637e3f161a014f01401a4bf37efa5d78ddfa2a1187704ea63e61a87263</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Anisotropy</topic><topic>Magnetic resonance imaging</topic><topic>Medical imaging</topic><topic>Neuroimaging</topic><topic>Reproducibility</topic><topic>Scanners</topic><topic>Standard error</topic><topic>Variability</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Qiang</creatorcontrib><creatorcontrib>Ning, Lipeng</creatorcontrib><creatorcontrib>Shaik, Imam Ahmed</creatorcontrib><creatorcontrib>Liao, Congyu</creatorcontrib><creatorcontrib>Gagoski, Borjan</creatorcontrib><creatorcontrib>Bilgic, Berkin</creatorcontrib><creatorcontrib>Grissom, William</creatorcontrib><creatorcontrib>Nielsen, Jon-Fredrik</creatorcontrib><creatorcontrib>Zaitsev, Maxim</creatorcontrib><creatorcontrib>Rathi, Yogesh</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biochemistry Abstracts 1</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Magnetic resonance in medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Qiang</au><au>Ning, Lipeng</au><au>Shaik, Imam Ahmed</au><au>Liao, Congyu</au><au>Gagoski, Borjan</au><au>Bilgic, Berkin</au><au>Grissom, William</au><au>Nielsen, Jon-Fredrik</au><au>Zaitsev, Maxim</au><au>Rathi, Yogesh</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Reduced cross-scanner variability using vendor-agnostic sequences for single-shell diffusion MRI</atitle><jtitle>Magnetic resonance in medicine</jtitle><addtitle>Magn Reson Med</addtitle><date>2024-07-01</date><risdate>2024</risdate><volume>92</volume><issue>1</issue><spage>246</spage><epage>256</epage><pages>246-256</pages><issn>0740-3194</issn><eissn>1522-2594</eissn><abstract>To reduce the inter-scanner variability of diffusion MRI (dMRI) measures between scanners from different vendors by developing a vendor-neutral dMRI pulse sequence using the open-source vendor-agnostic Pulseq platform.
We implemented a standard EPI based dMRI sequence in Pulseq. We tested it on two clinical scanners from different vendors (Siemens Prisma and GE Premier), systematically evaluating and comparing the within- and inter-scanner variability across the vendors, using both the vendor-provided and Pulseq dMRI sequences. Assessments covered both a diffusion phantom and three human subjects, using standard error (SE) and Lin's concordance correlation to measure the repeatability and reproducibility of standard DTI metrics including fractional anisotropy (FA) and mean diffusivity (MD).
Identical dMRI sequences were executed on both scanners using Pulseq. On the phantom, the Pulseq sequence showed more than a 2.5× reduction in SE (variability) across Siemens and GE scanners. Furthermore, Pulseq sequences exhibited markedly reduced SE in-vivo, maintaining scan-rescan repeatability while delivering lower variability in FA and MD (more than 50% reduction in cortical/subcortical regions) compared to vendor-provided sequences.
The Pulseq diffusion sequence reduces the cross-scanner variability for both phantom and in-vivo data, which will benefit multi-center neuroimaging studies and improve the reproducibility of neuroimaging studies.</abstract><cop>United States</cop><pub>Wiley Subscription Services, Inc</pub><pmid>38469671</pmid><doi>10.1002/mrm.30062</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0003-3777-2621</orcidid><orcidid>https://orcid.org/0009-0007-6818-0115</orcidid><orcidid>https://orcid.org/0000-0003-2270-276X</orcidid><orcidid>https://orcid.org/0000-0002-9080-7865</orcidid></addata></record> |
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subjects | Anisotropy Magnetic resonance imaging Medical imaging Neuroimaging Reproducibility Scanners Standard error Variability |
title | Reduced cross-scanner variability using vendor-agnostic sequences for single-shell diffusion MRI |
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