High-resolution diffusion tensor imaging and tractography of the human optic chiasm at 9.4 T

The optic chiasm with its complex fiber micro-structure is a challenge for diffusion tensor models and tractography methods. Likewise, it is an ideal candidate for evaluation of diffusion tensor imaging tractography approaches in resolving inter-regional connectivity because the macroscopic connecti...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:NeuroImage (Orlando, Fla.) Fla.), 2008, Vol.39 (1), p.157-168
Hauptverfasser: Roebroeck, Alard, Galuske, Ralf, Formisano, Elia, Chiry, Oriana, Bratzke, Hansjürgen, Ronen, Itamar, Kim, Dae-shik, Goebel, Rainer
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 168
container_issue 1
container_start_page 157
container_title NeuroImage (Orlando, Fla.)
container_volume 39
creator Roebroeck, Alard
Galuske, Ralf
Formisano, Elia
Chiry, Oriana
Bratzke, Hansjürgen
Ronen, Itamar
Kim, Dae-shik
Goebel, Rainer
description The optic chiasm with its complex fiber micro-structure is a challenge for diffusion tensor models and tractography methods. Likewise, it is an ideal candidate for evaluation of diffusion tensor imaging tractography approaches in resolving inter-regional connectivity because the macroscopic connectivity of the optic chiasm is well known. Here, high-resolution (156 μm in-plane) diffusion tensor imaging of the human optic chiasm was performed ex vivo at ultra-high field (9.4 T). Estimated diffusion tensors at this high resolution were able to capture complex fiber configurations such as sharp curves, and convergence and divergence of tracts, but were unable to resolve directions at sites of crossing fibers. Despite the complex microstructure of the fiber paths through the optic chiasm, all known connections could be tracked by a line propagation algorithm. However, fibers crossing from the optic nerve to the contralateral tract were heavily underrepresented, whereas ipsilateral nerve-to-tract connections, as well as tract-to-tract connections, were overrepresented, and erroneous nerve-to-nerve connections were tracked. The effects of spatial resolution and the varying degrees of partial volume averaging of complex fiber architecture on the performance of these methods could be investigated. Errors made by the tractography algorithm at high resolution were shown to increase at lower resolutions closer to those used in vivo. This study shows that increases in resolution, made possible by higher field strengths, improve the accuracy of DTI-based tractography. More generally, post-mortem investigation of fixed tissue samples with diffusion imaging at high field strengths is important in the evaluation of MR-based diffusion models and tractography algorithms.
doi_str_mv 10.1016/j.neuroimage.2007.08.015
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_70104724</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S105381190700729X</els_id><sourcerecordid>70104724</sourcerecordid><originalsourceid>FETCH-LOGICAL-c450t-d1c9f5219e60b25eaaf5616c56988a165685e947517b42e996715317eb442f363</originalsourceid><addsrcrecordid>eNqFkc1q3DAUhU1paNK0r1AEhe7s6tr6sZZtSJtAIJtkWYRGvh5rGEtTSS7kbfosebLKzECgm6zuXXznnss5VUWANkBBfN01HpcY3Gy22LSUyob2DQX-proAqnituGzfrjvv6h5AnVfvU9pRShWw_l11DlJ1ovAX1a8bt53qiCnsl-yCJ4MbxyWtW0afQiSrifNbYvxAcjQ2h200h-mJhJHkCcm0zMaTcMjOEjs5k2ZiMlENe_778KE6G80-4cfTvKwef1w_XN3Ud_c_b6--3dWWcZrrAawaeQsKBd20HI0ZuQBhuVB9b0Bw0XNUTHKQG9aiUkIC70DihrF27ER3WX053j3E8HvBlPXsksX93ngMS9KSAmWyZQX8_B-4C0v05TcNnArZKiWhUP2RsjGkFHHUh1hiiE8aqF4L0Dv9UoBeC9C01yXQIv10Mlg2Mw4vwlPiBfh-BLDk8cdh1Mk69BYHF9FmPQT3uss_elKbaA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1506729971</pqid></control><display><type>article</type><title>High-resolution diffusion tensor imaging and tractography of the human optic chiasm at 9.4 T</title><source>MEDLINE</source><source>Access via ScienceDirect (Elsevier)</source><source>ProQuest Central UK/Ireland</source><creator>Roebroeck, Alard ; Galuske, Ralf ; Formisano, Elia ; Chiry, Oriana ; Bratzke, Hansjürgen ; Ronen, Itamar ; Kim, Dae-shik ; Goebel, Rainer</creator><creatorcontrib>Roebroeck, Alard ; Galuske, Ralf ; Formisano, Elia ; Chiry, Oriana ; Bratzke, Hansjürgen ; Ronen, Itamar ; Kim, Dae-shik ; Goebel, Rainer</creatorcontrib><description>The optic chiasm with its complex fiber micro-structure is a challenge for diffusion tensor models and tractography methods. Likewise, it is an ideal candidate for evaluation of diffusion tensor imaging tractography approaches in resolving inter-regional connectivity because the macroscopic connectivity of the optic chiasm is well known. Here, high-resolution (156 μm in-plane) diffusion tensor imaging of the human optic chiasm was performed ex vivo at ultra-high field (9.4 T). Estimated diffusion tensors at this high resolution were able to capture complex fiber configurations such as sharp curves, and convergence and divergence of tracts, but were unable to resolve directions at sites of crossing fibers. Despite the complex microstructure of the fiber paths through the optic chiasm, all known connections could be tracked by a line propagation algorithm. However, fibers crossing from the optic nerve to the contralateral tract were heavily underrepresented, whereas ipsilateral nerve-to-tract connections, as well as tract-to-tract connections, were overrepresented, and erroneous nerve-to-nerve connections were tracked. The effects of spatial resolution and the varying degrees of partial volume averaging of complex fiber architecture on the performance of these methods could be investigated. Errors made by the tractography algorithm at high resolution were shown to increase at lower resolutions closer to those used in vivo. This study shows that increases in resolution, made possible by higher field strengths, improve the accuracy of DTI-based tractography. More generally, post-mortem investigation of fixed tissue samples with diffusion imaging at high field strengths is important in the evaluation of MR-based diffusion models and tractography algorithms.</description><identifier>ISSN: 1053-8119</identifier><identifier>EISSN: 1095-9572</identifier><identifier>DOI: 10.1016/j.neuroimage.2007.08.015</identifier><identifier>PMID: 17936015</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Adult ; Algorithms ; Anisotropy ; Brain ; Diffusion ; Diffusion Magnetic Resonance Imaging - methods ; Female ; Humans ; Image Enhancement - methods ; Image Interpretation, Computer-Assisted - methods ; Male ; Nerve Fibers, Myelinated - ultrastructure ; Optic Chiasm - cytology ; Propagation ; Reproducibility of Results ; Sensitivity and Specificity ; Visual Pathways - cytology</subject><ispartof>NeuroImage (Orlando, Fla.), 2008, Vol.39 (1), p.157-168</ispartof><rights>2007 Elsevier Inc.</rights><rights>Copyright Elsevier Limited Jan 1, 2008</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c450t-d1c9f5219e60b25eaaf5616c56988a165685e947517b42e996715317eb442f363</citedby><cites>FETCH-LOGICAL-c450t-d1c9f5219e60b25eaaf5616c56988a165685e947517b42e996715317eb442f363</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/1506729971?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,3550,4024,27923,27924,27925,45995,64385,64387,64389,72469</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/17936015$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Roebroeck, Alard</creatorcontrib><creatorcontrib>Galuske, Ralf</creatorcontrib><creatorcontrib>Formisano, Elia</creatorcontrib><creatorcontrib>Chiry, Oriana</creatorcontrib><creatorcontrib>Bratzke, Hansjürgen</creatorcontrib><creatorcontrib>Ronen, Itamar</creatorcontrib><creatorcontrib>Kim, Dae-shik</creatorcontrib><creatorcontrib>Goebel, Rainer</creatorcontrib><title>High-resolution diffusion tensor imaging and tractography of the human optic chiasm at 9.4 T</title><title>NeuroImage (Orlando, Fla.)</title><addtitle>Neuroimage</addtitle><description>The optic chiasm with its complex fiber micro-structure is a challenge for diffusion tensor models and tractography methods. Likewise, it is an ideal candidate for evaluation of diffusion tensor imaging tractography approaches in resolving inter-regional connectivity because the macroscopic connectivity of the optic chiasm is well known. Here, high-resolution (156 μm in-plane) diffusion tensor imaging of the human optic chiasm was performed ex vivo at ultra-high field (9.4 T). Estimated diffusion tensors at this high resolution were able to capture complex fiber configurations such as sharp curves, and convergence and divergence of tracts, but were unable to resolve directions at sites of crossing fibers. Despite the complex microstructure of the fiber paths through the optic chiasm, all known connections could be tracked by a line propagation algorithm. However, fibers crossing from the optic nerve to the contralateral tract were heavily underrepresented, whereas ipsilateral nerve-to-tract connections, as well as tract-to-tract connections, were overrepresented, and erroneous nerve-to-nerve connections were tracked. The effects of spatial resolution and the varying degrees of partial volume averaging of complex fiber architecture on the performance of these methods could be investigated. Errors made by the tractography algorithm at high resolution were shown to increase at lower resolutions closer to those used in vivo. This study shows that increases in resolution, made possible by higher field strengths, improve the accuracy of DTI-based tractography. More generally, post-mortem investigation of fixed tissue samples with diffusion imaging at high field strengths is important in the evaluation of MR-based diffusion models and tractography algorithms.</description><subject>Adult</subject><subject>Algorithms</subject><subject>Anisotropy</subject><subject>Brain</subject><subject>Diffusion</subject><subject>Diffusion Magnetic Resonance Imaging - methods</subject><subject>Female</subject><subject>Humans</subject><subject>Image Enhancement - methods</subject><subject>Image Interpretation, Computer-Assisted - methods</subject><subject>Male</subject><subject>Nerve Fibers, Myelinated - ultrastructure</subject><subject>Optic Chiasm - cytology</subject><subject>Propagation</subject><subject>Reproducibility of Results</subject><subject>Sensitivity and Specificity</subject><subject>Visual Pathways - cytology</subject><issn>1053-8119</issn><issn>1095-9572</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</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>eNqFkc1q3DAUhU1paNK0r1AEhe7s6tr6sZZtSJtAIJtkWYRGvh5rGEtTSS7kbfosebLKzECgm6zuXXznnss5VUWANkBBfN01HpcY3Gy22LSUyob2DQX-proAqnituGzfrjvv6h5AnVfvU9pRShWw_l11DlJ1ovAX1a8bt53qiCnsl-yCJ4MbxyWtW0afQiSrifNbYvxAcjQ2h200h-mJhJHkCcm0zMaTcMjOEjs5k2ZiMlENe_778KE6G80-4cfTvKwef1w_XN3Ud_c_b6--3dWWcZrrAawaeQsKBd20HI0ZuQBhuVB9b0Bw0XNUTHKQG9aiUkIC70DihrF27ER3WX053j3E8HvBlPXsksX93ngMS9KSAmWyZQX8_B-4C0v05TcNnArZKiWhUP2RsjGkFHHUh1hiiE8aqF4L0Dv9UoBeC9C01yXQIv10Mlg2Mw4vwlPiBfh-BLDk8cdh1Mk69BYHF9FmPQT3uss_elKbaA</recordid><startdate>2008</startdate><enddate>2008</enddate><creator>Roebroeck, Alard</creator><creator>Galuske, Ralf</creator><creator>Formisano, Elia</creator><creator>Chiry, Oriana</creator><creator>Bratzke, Hansjürgen</creator><creator>Ronen, Itamar</creator><creator>Kim, Dae-shik</creator><creator>Goebel, Rainer</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>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>RC3</scope><scope>7X8</scope></search><sort><creationdate>2008</creationdate><title>High-resolution diffusion tensor imaging and tractography of the human optic chiasm at 9.4 T</title><author>Roebroeck, Alard ; Galuske, Ralf ; Formisano, Elia ; Chiry, Oriana ; Bratzke, Hansjürgen ; Ronen, Itamar ; Kim, Dae-shik ; Goebel, Rainer</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c450t-d1c9f5219e60b25eaaf5616c56988a165685e947517b42e996715317eb442f363</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Adult</topic><topic>Algorithms</topic><topic>Anisotropy</topic><topic>Brain</topic><topic>Diffusion</topic><topic>Diffusion Magnetic Resonance Imaging - methods</topic><topic>Female</topic><topic>Humans</topic><topic>Image Enhancement - methods</topic><topic>Image Interpretation, Computer-Assisted - methods</topic><topic>Male</topic><topic>Nerve Fibers, Myelinated - ultrastructure</topic><topic>Optic Chiasm - cytology</topic><topic>Propagation</topic><topic>Reproducibility of Results</topic><topic>Sensitivity and Specificity</topic><topic>Visual Pathways - cytology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Roebroeck, Alard</creatorcontrib><creatorcontrib>Galuske, Ralf</creatorcontrib><creatorcontrib>Formisano, Elia</creatorcontrib><creatorcontrib>Chiry, Oriana</creatorcontrib><creatorcontrib>Bratzke, Hansjürgen</creatorcontrib><creatorcontrib>Ronen, Itamar</creatorcontrib><creatorcontrib>Kim, Dae-shik</creatorcontrib><creatorcontrib>Goebel, Rainer</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>ProQuest Health and Medical</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 &amp; Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest Psychology Journals</collection><collection>ProQuest Biological Science Journals</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><collection>MEDLINE - Academic</collection><jtitle>NeuroImage (Orlando, Fla.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Roebroeck, Alard</au><au>Galuske, Ralf</au><au>Formisano, Elia</au><au>Chiry, Oriana</au><au>Bratzke, Hansjürgen</au><au>Ronen, Itamar</au><au>Kim, Dae-shik</au><au>Goebel, Rainer</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>High-resolution diffusion tensor imaging and tractography of the human optic chiasm at 9.4 T</atitle><jtitle>NeuroImage (Orlando, Fla.)</jtitle><addtitle>Neuroimage</addtitle><date>2008</date><risdate>2008</risdate><volume>39</volume><issue>1</issue><spage>157</spage><epage>168</epage><pages>157-168</pages><issn>1053-8119</issn><eissn>1095-9572</eissn><abstract>The optic chiasm with its complex fiber micro-structure is a challenge for diffusion tensor models and tractography methods. Likewise, it is an ideal candidate for evaluation of diffusion tensor imaging tractography approaches in resolving inter-regional connectivity because the macroscopic connectivity of the optic chiasm is well known. Here, high-resolution (156 μm in-plane) diffusion tensor imaging of the human optic chiasm was performed ex vivo at ultra-high field (9.4 T). Estimated diffusion tensors at this high resolution were able to capture complex fiber configurations such as sharp curves, and convergence and divergence of tracts, but were unable to resolve directions at sites of crossing fibers. Despite the complex microstructure of the fiber paths through the optic chiasm, all known connections could be tracked by a line propagation algorithm. However, fibers crossing from the optic nerve to the contralateral tract were heavily underrepresented, whereas ipsilateral nerve-to-tract connections, as well as tract-to-tract connections, were overrepresented, and erroneous nerve-to-nerve connections were tracked. The effects of spatial resolution and the varying degrees of partial volume averaging of complex fiber architecture on the performance of these methods could be investigated. Errors made by the tractography algorithm at high resolution were shown to increase at lower resolutions closer to those used in vivo. This study shows that increases in resolution, made possible by higher field strengths, improve the accuracy of DTI-based tractography. More generally, post-mortem investigation of fixed tissue samples with diffusion imaging at high field strengths is important in the evaluation of MR-based diffusion models and tractography algorithms.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>17936015</pmid><doi>10.1016/j.neuroimage.2007.08.015</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1053-8119
ispartof NeuroImage (Orlando, Fla.), 2008, Vol.39 (1), p.157-168
issn 1053-8119
1095-9572
language eng
recordid cdi_proquest_miscellaneous_70104724
source MEDLINE; Access via ScienceDirect (Elsevier); ProQuest Central UK/Ireland
subjects Adult
Algorithms
Anisotropy
Brain
Diffusion
Diffusion Magnetic Resonance Imaging - methods
Female
Humans
Image Enhancement - methods
Image Interpretation, Computer-Assisted - methods
Male
Nerve Fibers, Myelinated - ultrastructure
Optic Chiasm - cytology
Propagation
Reproducibility of Results
Sensitivity and Specificity
Visual Pathways - cytology
title High-resolution diffusion tensor imaging and tractography of the human optic chiasm at 9.4 T
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-25T16%3A35%3A43IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=High-resolution%20diffusion%20tensor%20imaging%20and%20tractography%20of%20the%20human%20optic%20chiasm%20at%209.4%C2%A0T&rft.jtitle=NeuroImage%20(Orlando,%20Fla.)&rft.au=Roebroeck,%20Alard&rft.date=2008&rft.volume=39&rft.issue=1&rft.spage=157&rft.epage=168&rft.pages=157-168&rft.issn=1053-8119&rft.eissn=1095-9572&rft_id=info:doi/10.1016/j.neuroimage.2007.08.015&rft_dat=%3Cproquest_cross%3E70104724%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1506729971&rft_id=info:pmid/17936015&rft_els_id=S105381190700729X&rfr_iscdi=true