Reducing motion sensitivity in 3D high-resolution T 2 -weighted MRI by navigator-based motion and nonlinear magnetic field correction
T *-weighted gradient echo (GRE) MRI at high field is uniquely sensitive to the magnetic properties of tissue and allows the study of brain and vascular anatomy at high spatial resolution. However, it is also sensitive to B field changes induced by head motion and physiological processes such as the...
Gespeichert in:
Veröffentlicht in: | NeuroImage (Orlando, Fla.) Fla.), 2020-02, Vol.206, p.116332 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | |
container_start_page | 116332 |
container_title | NeuroImage (Orlando, Fla.) |
container_volume | 206 |
creator | Liu, Jiaen van Gelderen, Peter de Zwart, Jacco A Duyn, Jeff H |
description | T
*-weighted gradient echo (GRE) MRI at high field is uniquely sensitive to the magnetic properties of tissue and allows the study of brain and vascular anatomy at high spatial resolution. However, it is also sensitive to B
field changes induced by head motion and physiological processes such as the respiratory cycle. Conventional motion correction techniques do not take these field changes into account, and consequently do not fully recover image quality in T
*-weighted MRI. Here, a novel approach was developed to address this by monitoring the B
field with a volumetric EPI phase navigator. The navigator was acquired at a shorter echo time than that of the (higher resolution) T
*-weighted GRE imaging data and accelerated with parallel imaging for high temporal resolution. At 4 mm isotropic spatial resolution and 0.54 s temporal resolution, the accuracy for estimation of rotation and translation was better than 0.2° and 0.1 mm, respectively. The 10% and 90% percentiles of B
measurement error using the navigator were -1.8 and 1.5 Hz at 7 T, respectively. A fast retrospective reconstruction algorithm correcting for both motion and nonlinear B
changes was also developed. The navigator and reconstruction algorithm were evaluated in correcting motion-corrupted high-resolution T
*-weighted GRE MRI on healthy human subjects at 7 T. Excellent image quality was demonstrated with the proposed correction method. |
doi_str_mv | 10.1016/j.neuroimage.2019.116332 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_proquest_journals_2340235104</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2340235104</sourcerecordid><originalsourceid>FETCH-LOGICAL-p136t-4e3bbdf006c651d7dc6e8664ca1ac43245c5e1763b463a56dd6bf8534668590d3</originalsourceid><addsrcrecordid>eNo1kF1LwzAYhYMobk7_ggS8Tk2aj7WXMr8GE2HM65Imb7uMLplpO9kP8H_b6bw6L4eH8x4OQpjRhFGm7jeJhz4Gt9U1JCllecKY4jw9Q2NGc0lyOU3Pj7fkJGMsH6Grtt1QSnMmsks04kxlueRyjL6XYHvjfI23oXPB4xZ86zq3d90BO4_5I167ek0itKHpf4kVTjH5gsHtwOK35RyXB-z13tW6C5GUuh3sU5r2FvvgG-dBRzzU9dA5gysHjcUmxAjmyF2ji0o3LdycdII-np9Ws1eyeH-Zzx4WZMe46ogAXpa2olQZJZmdWqMgU0oYzbQRPBXSSGBTxUuhuJbKWlVWmeRCqUzm1PIJuvvL3cXw2UPbFZvQRz-8LFIuaMolo2Kgbk9UX27BFrs4DB0Pxf9q_Ae9onN9</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2340235104</pqid></control><display><type>article</type><title>Reducing motion sensitivity in 3D high-resolution T 2 -weighted MRI by navigator-based motion and nonlinear magnetic field correction</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>ScienceDirect Journals (5 years ago - present)</source><source>ProQuest Central UK/Ireland</source><creator>Liu, Jiaen ; van Gelderen, Peter ; de Zwart, Jacco A ; Duyn, Jeff H</creator><creatorcontrib>Liu, Jiaen ; van Gelderen, Peter ; de Zwart, Jacco A ; Duyn, Jeff H</creatorcontrib><description>T
*-weighted gradient echo (GRE) MRI at high field is uniquely sensitive to the magnetic properties of tissue and allows the study of brain and vascular anatomy at high spatial resolution. However, it is also sensitive to B
field changes induced by head motion and physiological processes such as the respiratory cycle. Conventional motion correction techniques do not take these field changes into account, and consequently do not fully recover image quality in T
*-weighted MRI. Here, a novel approach was developed to address this by monitoring the B
field with a volumetric EPI phase navigator. The navigator was acquired at a shorter echo time than that of the (higher resolution) T
*-weighted GRE imaging data and accelerated with parallel imaging for high temporal resolution. At 4 mm isotropic spatial resolution and 0.54 s temporal resolution, the accuracy for estimation of rotation and translation was better than 0.2° and 0.1 mm, respectively. The 10% and 90% percentiles of B
measurement error using the navigator were -1.8 and 1.5 Hz at 7 T, respectively. A fast retrospective reconstruction algorithm correcting for both motion and nonlinear B
changes was also developed. The navigator and reconstruction algorithm were evaluated in correcting motion-corrupted high-resolution T
*-weighted GRE MRI on healthy human subjects at 7 T. Excellent image quality was demonstrated with the proposed correction method.</description><identifier>ISSN: 1053-8119</identifier><identifier>EISSN: 1095-9572</identifier><identifier>DOI: 10.1016/j.neuroimage.2019.116332</identifier><identifier>PMID: 31689535</identifier><language>eng</language><publisher>United States: Elsevier Limited</publisher><subject>Algorithms ; Brain - diagnostic imaging ; Humans ; Image Processing, Computer-Assisted - methods ; Imaging, Three-Dimensional - methods ; Magnetic Fields ; Magnetic properties ; Magnetic resonance imaging ; Magnetic Resonance Imaging - methods ; Motion ; Movement ; Neuroimaging ; Respiration ; Rotation ; Spatial discrimination</subject><ispartof>NeuroImage (Orlando, Fla.), 2020-02, Vol.206, p.116332</ispartof><rights>Published by Elsevier Inc.</rights><rights>Copyright Elsevier Limited Feb 1, 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2340235104?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,864,27924,27925,64385,64389,72469</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31689535$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Liu, Jiaen</creatorcontrib><creatorcontrib>van Gelderen, Peter</creatorcontrib><creatorcontrib>de Zwart, Jacco A</creatorcontrib><creatorcontrib>Duyn, Jeff H</creatorcontrib><title>Reducing motion sensitivity in 3D high-resolution T 2 -weighted MRI by navigator-based motion and nonlinear magnetic field correction</title><title>NeuroImage (Orlando, Fla.)</title><addtitle>Neuroimage</addtitle><description>T
*-weighted gradient echo (GRE) MRI at high field is uniquely sensitive to the magnetic properties of tissue and allows the study of brain and vascular anatomy at high spatial resolution. However, it is also sensitive to B
field changes induced by head motion and physiological processes such as the respiratory cycle. Conventional motion correction techniques do not take these field changes into account, and consequently do not fully recover image quality in T
*-weighted MRI. Here, a novel approach was developed to address this by monitoring the B
field with a volumetric EPI phase navigator. The navigator was acquired at a shorter echo time than that of the (higher resolution) T
*-weighted GRE imaging data and accelerated with parallel imaging for high temporal resolution. At 4 mm isotropic spatial resolution and 0.54 s temporal resolution, the accuracy for estimation of rotation and translation was better than 0.2° and 0.1 mm, respectively. The 10% and 90% percentiles of B
measurement error using the navigator were -1.8 and 1.5 Hz at 7 T, respectively. A fast retrospective reconstruction algorithm correcting for both motion and nonlinear B
changes was also developed. The navigator and reconstruction algorithm were evaluated in correcting motion-corrupted high-resolution T
*-weighted GRE MRI on healthy human subjects at 7 T. Excellent image quality was demonstrated with the proposed correction method.</description><subject>Algorithms</subject><subject>Brain - diagnostic imaging</subject><subject>Humans</subject><subject>Image Processing, Computer-Assisted - methods</subject><subject>Imaging, Three-Dimensional - methods</subject><subject>Magnetic Fields</subject><subject>Magnetic properties</subject><subject>Magnetic resonance imaging</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Motion</subject><subject>Movement</subject><subject>Neuroimaging</subject><subject>Respiration</subject><subject>Rotation</subject><subject>Spatial discrimination</subject><issn>1053-8119</issn><issn>1095-9572</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNo1kF1LwzAYhYMobk7_ggS8Tk2aj7WXMr8GE2HM65Imb7uMLplpO9kP8H_b6bw6L4eH8x4OQpjRhFGm7jeJhz4Gt9U1JCllecKY4jw9Q2NGc0lyOU3Pj7fkJGMsH6Grtt1QSnMmsks04kxlueRyjL6XYHvjfI23oXPB4xZ86zq3d90BO4_5I167ek0itKHpf4kVTjH5gsHtwOK35RyXB-z13tW6C5GUuh3sU5r2FvvgG-dBRzzU9dA5gysHjcUmxAjmyF2ji0o3LdycdII-np9Ws1eyeH-Zzx4WZMe46ogAXpa2olQZJZmdWqMgU0oYzbQRPBXSSGBTxUuhuJbKWlVWmeRCqUzm1PIJuvvL3cXw2UPbFZvQRz-8LFIuaMolo2Kgbk9UX27BFrs4DB0Pxf9q_Ae9onN9</recordid><startdate>20200201</startdate><enddate>20200201</enddate><creator>Liu, Jiaen</creator><creator>van Gelderen, Peter</creator><creator>de Zwart, Jacco A</creator><creator>Duyn, Jeff H</creator><general>Elsevier Limited</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>3V.</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M7P</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>RC3</scope></search><sort><creationdate>20200201</creationdate><title>Reducing motion sensitivity in 3D high-resolution T 2 -weighted MRI by navigator-based motion and nonlinear magnetic field correction</title><author>Liu, Jiaen ; van Gelderen, Peter ; de Zwart, Jacco A ; Duyn, Jeff H</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p136t-4e3bbdf006c651d7dc6e8664ca1ac43245c5e1763b463a56dd6bf8534668590d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Algorithms</topic><topic>Brain - diagnostic imaging</topic><topic>Humans</topic><topic>Image Processing, Computer-Assisted - methods</topic><topic>Imaging, Three-Dimensional - methods</topic><topic>Magnetic Fields</topic><topic>Magnetic properties</topic><topic>Magnetic resonance imaging</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Motion</topic><topic>Movement</topic><topic>Neuroimaging</topic><topic>Respiration</topic><topic>Rotation</topic><topic>Spatial discrimination</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Jiaen</creatorcontrib><creatorcontrib>van Gelderen, Peter</creatorcontrib><creatorcontrib>de Zwart, Jacco A</creatorcontrib><creatorcontrib>Duyn, Jeff H</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>ProQuest Central (Corporate)</collection><collection>Neurosciences Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>Genetics Abstracts</collection><jtitle>NeuroImage (Orlando, Fla.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Jiaen</au><au>van Gelderen, Peter</au><au>de Zwart, Jacco A</au><au>Duyn, Jeff H</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Reducing motion sensitivity in 3D high-resolution T 2 -weighted MRI by navigator-based motion and nonlinear magnetic field correction</atitle><jtitle>NeuroImage (Orlando, Fla.)</jtitle><addtitle>Neuroimage</addtitle><date>2020-02-01</date><risdate>2020</risdate><volume>206</volume><spage>116332</spage><pages>116332-</pages><issn>1053-8119</issn><eissn>1095-9572</eissn><abstract>T
*-weighted gradient echo (GRE) MRI at high field is uniquely sensitive to the magnetic properties of tissue and allows the study of brain and vascular anatomy at high spatial resolution. However, it is also sensitive to B
field changes induced by head motion and physiological processes such as the respiratory cycle. Conventional motion correction techniques do not take these field changes into account, and consequently do not fully recover image quality in T
*-weighted MRI. Here, a novel approach was developed to address this by monitoring the B
field with a volumetric EPI phase navigator. The navigator was acquired at a shorter echo time than that of the (higher resolution) T
*-weighted GRE imaging data and accelerated with parallel imaging for high temporal resolution. At 4 mm isotropic spatial resolution and 0.54 s temporal resolution, the accuracy for estimation of rotation and translation was better than 0.2° and 0.1 mm, respectively. The 10% and 90% percentiles of B
measurement error using the navigator were -1.8 and 1.5 Hz at 7 T, respectively. A fast retrospective reconstruction algorithm correcting for both motion and nonlinear B
changes was also developed. The navigator and reconstruction algorithm were evaluated in correcting motion-corrupted high-resolution T
*-weighted GRE MRI on healthy human subjects at 7 T. Excellent image quality was demonstrated with the proposed correction method.</abstract><cop>United States</cop><pub>Elsevier Limited</pub><pmid>31689535</pmid><doi>10.1016/j.neuroimage.2019.116332</doi><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1053-8119 |
ispartof | NeuroImage (Orlando, Fla.), 2020-02, Vol.206, p.116332 |
issn | 1053-8119 1095-9572 |
language | eng |
recordid | cdi_proquest_journals_2340235104 |
source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; ScienceDirect Journals (5 years ago - present); ProQuest Central UK/Ireland |
subjects | Algorithms Brain - diagnostic imaging Humans Image Processing, Computer-Assisted - methods Imaging, Three-Dimensional - methods Magnetic Fields Magnetic properties Magnetic resonance imaging Magnetic Resonance Imaging - methods Motion Movement Neuroimaging Respiration Rotation Spatial discrimination |
title | Reducing motion sensitivity in 3D high-resolution T 2 -weighted MRI by navigator-based motion and nonlinear magnetic field correction |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-02T21%3A37%3A08IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Reducing%20motion%20sensitivity%20in%203D%20high-resolution%20T%202%20-weighted%20MRI%20by%20navigator-based%20motion%20and%20nonlinear%20magnetic%20field%20correction&rft.jtitle=NeuroImage%20(Orlando,%20Fla.)&rft.au=Liu,%20Jiaen&rft.date=2020-02-01&rft.volume=206&rft.spage=116332&rft.pages=116332-&rft.issn=1053-8119&rft.eissn=1095-9572&rft_id=info:doi/10.1016/j.neuroimage.2019.116332&rft_dat=%3Cproquest_pubme%3E2340235104%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2340235104&rft_id=info:pmid/31689535&rfr_iscdi=true |