Voxel-wise group analysis of DTI
Diffusion tensor MRI (DTI) is now a widely used modality to investigate the fiber tissues in vivo, especially the white matter in brain. An automatic pipeline is described in this paper to conduct a localized voxel-wise multiple-subject group comparison study of DTI. The pipeline consists of 3 steps...
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| creator | Zhexing Liu Hongtu Zhu Marks, B.L. Katz, L.M. Goodlett, C.B. Gerig, G. Styner, M. |
| description | Diffusion tensor MRI (DTI) is now a widely used modality to investigate the fiber tissues in vivo, especially the white matter in brain. An automatic pipeline is described in this paper to conduct a localized voxel-wise multiple-subject group comparison study of DTI. The pipeline consists of 3 steps: (1) Preprocessing, including image format converting, image quality check, eddy-current and motion artifact correction, skull stripping and tensor image estimation, (2) study-specific unbiased DTI atlas computation via affine followed by fluid nonlinear registration and warping of all individual DTI images into the common atlas space to achieve voxel-wise correspondence, (3) voxel-wise statistical analysis via heterogeneous linear regression and wild bootstrap technique for correcting for multiple comparisons. This pipeline was applied to process data from a fitness and aging study and preliminary results are presented. The results show that this fully automatic pipeline is suitable for voxel-wise group DTI analysis. |
| doi_str_mv | 10.1109/ISBI.2009.5193172 |
| format | Conference Proceeding |
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An automatic pipeline is described in this paper to conduct a localized voxel-wise multiple-subject group comparison study of DTI. The pipeline consists of 3 steps: (1) Preprocessing, including image format converting, image quality check, eddy-current and motion artifact correction, skull stripping and tensor image estimation, (2) study-specific unbiased DTI atlas computation via affine followed by fluid nonlinear registration and warping of all individual DTI images into the common atlas space to achieve voxel-wise correspondence, (3) voxel-wise statistical analysis via heterogeneous linear regression and wild bootstrap technique for correcting for multiple comparisons. This pipeline was applied to process data from a fitness and aging study and preliminary results are presented. The results show that this fully automatic pipeline is suitable for voxel-wise group DTI analysis.</description><subject>Diffusion tensor</subject><subject>Diffusion tensor imaging</subject><subject>Group comparison</subject><subject>Image converters</subject><subject>Image quality</subject><subject>In vivo</subject><subject>Magnetic resonance imaging</subject><subject>Motion analysis</subject><subject>Motion estimation</subject><subject>MRI</subject><subject>Pipelines</subject><subject>Skull</subject><subject>Tensile stress</subject><subject>Voxel-wise analysis</subject><issn>1945-7928</issn><issn>1945-8452</issn><isbn>1424439310</isbn><isbn>9781424439317</isbn><isbn>1424439329</isbn><isbn>9781424439324</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVkctOwzAQRc1LtJR-AEJCWbJJsT12Ym-QoLwiVWJBYRs5yaQEpUmJE6B_j6WGArOYWZyrO6M7hJwwOmGM6ovo6TqacEr1RDINLOQ75IgJLgRo4HqXDJkW0ldC8r1fwOh-D0LN1YCMrX2jrkJHqTgkAw4hhUAFQ-K91F9Y-p-FRW_R1N3KM5Up17awXp17N_PomBzkprQ47ueIPN_dzqcP_uzxPppezfwUwrD1AQWkkEsBTJpEU53pDHNpQKtASqGpcqfxLGEqROSJUUmSB7lMnTTHRAGMyOXGd9UlS8xSrNrGlPGqKZamWce1KeL_pCpe40X9EUMQuHgCZ3DeGzT1e4e2jZeFTbEsTYV1Z2OmQErXqHbSs7-7tkt-YnGC042gQMQt7j8A30H_ccA</recordid><startdate>20090101</startdate><enddate>20090101</enddate><creator>Zhexing Liu</creator><creator>Hongtu Zhu</creator><creator>Marks, B.L.</creator><creator>Katz, L.M.</creator><creator>Goodlett, C.B.</creator><creator>Gerig, G.</creator><creator>Styner, M.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope><scope>NPM</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20090101</creationdate><title>Voxel-wise group analysis of DTI</title><author>Zhexing Liu ; Hongtu Zhu ; Marks, B.L. ; Katz, L.M. ; Goodlett, C.B. ; Gerig, G. ; Styner, M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c377t-3e43c3f54315ab909d9def5a39865549082442db187ee2ba8bbf6f5cb90feb833</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Diffusion tensor</topic><topic>Diffusion tensor imaging</topic><topic>Group comparison</topic><topic>Image converters</topic><topic>Image quality</topic><topic>In vivo</topic><topic>Magnetic resonance imaging</topic><topic>Motion analysis</topic><topic>Motion estimation</topic><topic>MRI</topic><topic>Pipelines</topic><topic>Skull</topic><topic>Tensile stress</topic><topic>Voxel-wise analysis</topic><toplevel>online_resources</toplevel><creatorcontrib>Zhexing Liu</creatorcontrib><creatorcontrib>Hongtu Zhu</creatorcontrib><creatorcontrib>Marks, B.L.</creatorcontrib><creatorcontrib>Katz, L.M.</creatorcontrib><creatorcontrib>Goodlett, C.B.</creatorcontrib><creatorcontrib>Gerig, G.</creatorcontrib><creatorcontrib>Styner, M.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection><collection>PubMed</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Zhexing Liu</au><au>Hongtu Zhu</au><au>Marks, B.L.</au><au>Katz, L.M.</au><au>Goodlett, C.B.</au><au>Gerig, G.</au><au>Styner, M.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Voxel-wise group analysis of DTI</atitle><btitle>2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro</btitle><stitle>ISBI</stitle><addtitle>Proc IEEE Int Symp Biomed Imaging</addtitle><date>2009-01-01</date><risdate>2009</risdate><spage>807</spage><epage>810</epage><pages>807-810</pages><issn>1945-7928</issn><eissn>1945-8452</eissn><isbn>1424439310</isbn><isbn>9781424439317</isbn><eisbn>1424439329</eisbn><eisbn>9781424439324</eisbn><abstract>Diffusion tensor MRI (DTI) is now a widely used modality to investigate the fiber tissues in vivo, especially the white matter in brain. An automatic pipeline is described in this paper to conduct a localized voxel-wise multiple-subject group comparison study of DTI. The pipeline consists of 3 steps: (1) Preprocessing, including image format converting, image quality check, eddy-current and motion artifact correction, skull stripping and tensor image estimation, (2) study-specific unbiased DTI atlas computation via affine followed by fluid nonlinear registration and warping of all individual DTI images into the common atlas space to achieve voxel-wise correspondence, (3) voxel-wise statistical analysis via heterogeneous linear regression and wild bootstrap technique for correcting for multiple comparisons. This pipeline was applied to process data from a fitness and aging study and preliminary results are presented. The results show that this fully automatic pipeline is suitable for voxel-wise group DTI analysis.</abstract><cop>United States</cop><pub>IEEE</pub><pmid>23703686</pmid><doi>10.1109/ISBI.2009.5193172</doi><tpages>4</tpages><oa>free_for_read</oa></addata></record> |
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| identifier | ISSN: 1945-7928 |
| ispartof | 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2009, p.807-810 |
| issn | 1945-7928 1945-8452 |
| language | eng |
| recordid | cdi_ieee_primary_5193172 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Diffusion tensor Diffusion tensor imaging Group comparison Image converters Image quality In vivo Magnetic resonance imaging Motion analysis Motion estimation MRI Pipelines Skull Tensile stress Voxel-wise analysis |
| title | Voxel-wise group analysis of DTI |
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