Ultrafast inverse imaging techniques for fMRI
Inverse imaging (InI) supercharges the sampling rate of traditional functional MRI 10–100 fold at a cost of a moderate reduction in spatial resolution. The technique is inspired by similarities between multi-sensor magnetoencephalography (MEG) and highly parallel radio-frequency (RF) MRI detector ar...
Gespeichert in:
| Veröffentlicht in: | NeuroImage (Orlando, Fla.) Fla.), 2012-08, Vol.62 (2), p.699-705 |
|---|---|
| Hauptverfasser: | , , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 705 |
|---|---|
| container_issue | 2 |
| container_start_page | 699 |
| container_title | NeuroImage (Orlando, Fla.) |
| container_volume | 62 |
| creator | Lin, Fa-Hsuan Tsai, Kevin W.K. Chu, Ying-Hua Witzel, Thomas Nummenmaa, Aapo Raij, Tommi Ahveninen, Jyrki Kuo, Wen-Jui Belliveau, John W. |
| description | Inverse imaging (InI) supercharges the sampling rate of traditional functional MRI 10–100 fold at a cost of a moderate reduction in spatial resolution. The technique is inspired by similarities between multi-sensor magnetoencephalography (MEG) and highly parallel radio-frequency (RF) MRI detector arrays. Using presently available 32-channel head coils at 3T, InI can be sampled at 10Hz and provides about 5-mm cortical spatial resolution with whole-brain coverage. Here we discuss the present applications of InI, as well as potential future challenges and opportunities in further improving its spatiotemporal resolution and sensitivity. InI may become a helpful tool for clinicians and neuroscientists for revealing the complex dynamics of brain functions during task-related and resting states. |
| doi_str_mv | 10.1016/j.neuroimage.2012.01.072 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3377851</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S1053811912000894</els_id><sourcerecordid>3642070871</sourcerecordid><originalsourceid>FETCH-LOGICAL-c540t-12577601dab085649ac9828eb7de3df7f94b8099e9f7f549c1af85eac114ef8f3</originalsourceid><addsrcrecordid>eNqNkU1r3DAQhkVpaT7_QjHk0otdjWxZ0qWQhDYNpBRKchZaebTR4pUSyV7ov6_MJunHpT1pQM-88868hFRAG6DQf9g0AecU_dassWEUWEOhoYK9IodAFa8VF-z1UvO2lgDqgBzlvKGUKujkW3LAGJOcMTgk9d04JeNMniofdpgyVouqD-tqQnsf_OOMuXIxVe7r9-sT8saZMePp03tM7j5_ur38Ut98u7q-PL-pLe_oVAPjQvQUBrOikvedMlZJJnElBmwHJ5zqVpIqharUvFMWjJMcjQXo0EnXHpOPe92HebXFwWIoJkf9kIq39ENH4_WfP8Hf63Xc6bYVQnIoAu-fBFJcNpj01meL42gCxjlroK3sQSjB_wNlLVO8pbKgZ3-hmzinUC6hoe_LRn0HolByT9kUc07oXnwD1Ut8eqN_xaeX-DQFXeIrre9-3_ul8TmvAlzsASzX33lMOluPweLgE9pJD9H_e8pPfL2wIw</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1668096417</pqid></control><display><type>article</type><title>Ultrafast inverse imaging techniques for fMRI</title><source>MEDLINE</source><source>Access via ScienceDirect (Elsevier)</source><source>ProQuest Central UK/Ireland</source><creator>Lin, Fa-Hsuan ; Tsai, Kevin W.K. ; Chu, Ying-Hua ; Witzel, Thomas ; Nummenmaa, Aapo ; Raij, Tommi ; Ahveninen, Jyrki ; Kuo, Wen-Jui ; Belliveau, John W.</creator><creatorcontrib>Lin, Fa-Hsuan ; Tsai, Kevin W.K. ; Chu, Ying-Hua ; Witzel, Thomas ; Nummenmaa, Aapo ; Raij, Tommi ; Ahveninen, Jyrki ; Kuo, Wen-Jui ; Belliveau, John W.</creatorcontrib><description>Inverse imaging (InI) supercharges the sampling rate of traditional functional MRI 10–100 fold at a cost of a moderate reduction in spatial resolution. The technique is inspired by similarities between multi-sensor magnetoencephalography (MEG) and highly parallel radio-frequency (RF) MRI detector arrays. Using presently available 32-channel head coils at 3T, InI can be sampled at 10Hz and provides about 5-mm cortical spatial resolution with whole-brain coverage. Here we discuss the present applications of InI, as well as potential future challenges and opportunities in further improving its spatiotemporal resolution and sensitivity. InI may become a helpful tool for clinicians and neuroscientists for revealing the complex dynamics of brain functions during task-related and resting states.</description><identifier>ISSN: 1053-8119</identifier><identifier>EISSN: 1095-9572</identifier><identifier>DOI: 10.1016/j.neuroimage.2012.01.072</identifier><identifier>PMID: 22285221</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Brain - physiology ; Brain Mapping - methods ; Brain research ; Fast imaging ; Humans ; Image Processing, Computer-Assisted - methods ; InI ; Inverse problem ; Magnetic Resonance Imaging - methods ; Medical research ; Parallel imaging ; Sampling techniques ; Time Factors</subject><ispartof>NeuroImage (Orlando, Fla.), 2012-08, Vol.62 (2), p.699-705</ispartof><rights>2012 Elsevier Inc.</rights><rights>Copyright © 2012 Elsevier Inc. All rights reserved.</rights><rights>Copyright Elsevier Limited Aug 15, 2012</rights><rights>2012 Elsevier Inc. All rights reserved. 2012</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c540t-12577601dab085649ac9828eb7de3df7f94b8099e9f7f549c1af85eac114ef8f3</citedby><cites>FETCH-LOGICAL-c540t-12577601dab085649ac9828eb7de3df7f94b8099e9f7f549c1af85eac114ef8f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/1668096417?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>230,314,780,784,885,3550,27924,27925,45995,64385,64387,64389,72469</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22285221$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lin, Fa-Hsuan</creatorcontrib><creatorcontrib>Tsai, Kevin W.K.</creatorcontrib><creatorcontrib>Chu, Ying-Hua</creatorcontrib><creatorcontrib>Witzel, Thomas</creatorcontrib><creatorcontrib>Nummenmaa, Aapo</creatorcontrib><creatorcontrib>Raij, Tommi</creatorcontrib><creatorcontrib>Ahveninen, Jyrki</creatorcontrib><creatorcontrib>Kuo, Wen-Jui</creatorcontrib><creatorcontrib>Belliveau, John W.</creatorcontrib><title>Ultrafast inverse imaging techniques for fMRI</title><title>NeuroImage (Orlando, Fla.)</title><addtitle>Neuroimage</addtitle><description>Inverse imaging (InI) supercharges the sampling rate of traditional functional MRI 10–100 fold at a cost of a moderate reduction in spatial resolution. The technique is inspired by similarities between multi-sensor magnetoencephalography (MEG) and highly parallel radio-frequency (RF) MRI detector arrays. Using presently available 32-channel head coils at 3T, InI can be sampled at 10Hz and provides about 5-mm cortical spatial resolution with whole-brain coverage. Here we discuss the present applications of InI, as well as potential future challenges and opportunities in further improving its spatiotemporal resolution and sensitivity. InI may become a helpful tool for clinicians and neuroscientists for revealing the complex dynamics of brain functions during task-related and resting states.</description><subject>Brain - physiology</subject><subject>Brain Mapping - methods</subject><subject>Brain research</subject><subject>Fast imaging</subject><subject>Humans</subject><subject>Image Processing, Computer-Assisted - methods</subject><subject>InI</subject><subject>Inverse problem</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Medical research</subject><subject>Parallel imaging</subject><subject>Sampling techniques</subject><subject>Time Factors</subject><issn>1053-8119</issn><issn>1095-9572</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</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>eNqNkU1r3DAQhkVpaT7_QjHk0otdjWxZ0qWQhDYNpBRKchZaebTR4pUSyV7ov6_MJunHpT1pQM-88868hFRAG6DQf9g0AecU_dassWEUWEOhoYK9IodAFa8VF-z1UvO2lgDqgBzlvKGUKujkW3LAGJOcMTgk9d04JeNMniofdpgyVouqD-tqQnsf_OOMuXIxVe7r9-sT8saZMePp03tM7j5_ur38Ut98u7q-PL-pLe_oVAPjQvQUBrOikvedMlZJJnElBmwHJ5zqVpIqharUvFMWjJMcjQXo0EnXHpOPe92HebXFwWIoJkf9kIq39ENH4_WfP8Hf63Xc6bYVQnIoAu-fBFJcNpj01meL42gCxjlroK3sQSjB_wNlLVO8pbKgZ3-hmzinUC6hoe_LRn0HolByT9kUc07oXnwD1Ut8eqN_xaeX-DQFXeIrre9-3_ul8TmvAlzsASzX33lMOluPweLgE9pJD9H_e8pPfL2wIw</recordid><startdate>20120815</startdate><enddate>20120815</enddate><creator>Lin, Fa-Hsuan</creator><creator>Tsai, Kevin W.K.</creator><creator>Chu, Ying-Hua</creator><creator>Witzel, Thomas</creator><creator>Nummenmaa, Aapo</creator><creator>Raij, Tommi</creator><creator>Ahveninen, Jyrki</creator><creator>Kuo, Wen-Jui</creator><creator>Belliveau, John W.</creator><general>Elsevier Inc</general><general>Elsevier Limited</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</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>PSYQQ</scope><scope>Q9U</scope><scope>RC3</scope><scope>7X8</scope><scope>7QO</scope><scope>5PM</scope></search><sort><creationdate>20120815</creationdate><title>Ultrafast inverse imaging techniques for fMRI</title><author>Lin, Fa-Hsuan ; Tsai, Kevin W.K. ; Chu, Ying-Hua ; Witzel, Thomas ; Nummenmaa, Aapo ; Raij, Tommi ; Ahveninen, Jyrki ; Kuo, Wen-Jui ; Belliveau, John W.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c540t-12577601dab085649ac9828eb7de3df7f94b8099e9f7f549c1af85eac114ef8f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Brain - physiology</topic><topic>Brain Mapping - methods</topic><topic>Brain research</topic><topic>Fast imaging</topic><topic>Humans</topic><topic>Image Processing, Computer-Assisted - methods</topic><topic>InI</topic><topic>Inverse problem</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Medical research</topic><topic>Parallel imaging</topic><topic>Sampling techniques</topic><topic>Time Factors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lin, Fa-Hsuan</creatorcontrib><creatorcontrib>Tsai, Kevin W.K.</creatorcontrib><creatorcontrib>Chu, Ying-Hua</creatorcontrib><creatorcontrib>Witzel, Thomas</creatorcontrib><creatorcontrib>Nummenmaa, Aapo</creatorcontrib><creatorcontrib>Raij, Tommi</creatorcontrib><creatorcontrib>Ahveninen, Jyrki</creatorcontrib><creatorcontrib>Kuo, Wen-Jui</creatorcontrib><creatorcontrib>Belliveau, John W.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</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 One Psychology</collection><collection>ProQuest Central Basic</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>Biotechnology Research Abstracts</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>NeuroImage (Orlando, Fla.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lin, Fa-Hsuan</au><au>Tsai, Kevin W.K.</au><au>Chu, Ying-Hua</au><au>Witzel, Thomas</au><au>Nummenmaa, Aapo</au><au>Raij, Tommi</au><au>Ahveninen, Jyrki</au><au>Kuo, Wen-Jui</au><au>Belliveau, John W.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Ultrafast inverse imaging techniques for fMRI</atitle><jtitle>NeuroImage (Orlando, Fla.)</jtitle><addtitle>Neuroimage</addtitle><date>2012-08-15</date><risdate>2012</risdate><volume>62</volume><issue>2</issue><spage>699</spage><epage>705</epage><pages>699-705</pages><issn>1053-8119</issn><eissn>1095-9572</eissn><abstract>Inverse imaging (InI) supercharges the sampling rate of traditional functional MRI 10–100 fold at a cost of a moderate reduction in spatial resolution. The technique is inspired by similarities between multi-sensor magnetoencephalography (MEG) and highly parallel radio-frequency (RF) MRI detector arrays. Using presently available 32-channel head coils at 3T, InI can be sampled at 10Hz and provides about 5-mm cortical spatial resolution with whole-brain coverage. Here we discuss the present applications of InI, as well as potential future challenges and opportunities in further improving its spatiotemporal resolution and sensitivity. InI may become a helpful tool for clinicians and neuroscientists for revealing the complex dynamics of brain functions during task-related and resting states.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>22285221</pmid><doi>10.1016/j.neuroimage.2012.01.072</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1053-8119 |
| ispartof | NeuroImage (Orlando, Fla.), 2012-08, Vol.62 (2), p.699-705 |
| issn | 1053-8119 1095-9572 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3377851 |
| source | MEDLINE; Access via ScienceDirect (Elsevier); ProQuest Central UK/Ireland |
| subjects | Brain - physiology Brain Mapping - methods Brain research Fast imaging Humans Image Processing, Computer-Assisted - methods InI Inverse problem Magnetic Resonance Imaging - methods Medical research Parallel imaging Sampling techniques Time Factors |
| title | Ultrafast inverse imaging techniques for fMRI |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-20T09%3A32%3A20IST&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=Ultrafast%20inverse%20imaging%20techniques%20for%20fMRI&rft.jtitle=NeuroImage%20(Orlando,%20Fla.)&rft.au=Lin,%20Fa-Hsuan&rft.date=2012-08-15&rft.volume=62&rft.issue=2&rft.spage=699&rft.epage=705&rft.pages=699-705&rft.issn=1053-8119&rft.eissn=1095-9572&rft_id=info:doi/10.1016/j.neuroimage.2012.01.072&rft_dat=%3Cproquest_pubme%3E3642070871%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=1668096417&rft_id=info:pmid/22285221&rft_els_id=S1053811912000894&rfr_iscdi=true |