Deformable registration of DT-MRI data based on transformation invariant tensor characteristics
Conventional deformable registration methods are mostly driven by the interface between different brain structures. In recent years, Diffusion Tensor Magnetic Resonance Imaging (DT-MRI) has been used in conjunction with other conventional Magnetic Resonance (MR) pulse sequences to provide more struc...
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| creator | Guimond, A. Guttmann, C.R.G. Warfield, S.K. Westin, C.-F. |
| description | Conventional deformable registration methods are mostly driven by the interface between different brain structures. In recent years, Diffusion Tensor Magnetic Resonance Imaging (DT-MRI) has been used in conjunction with other conventional Magnetic Resonance (MR) pulse sequences to provide more structural information during the registration process. Due to the geometric nature of the DT-MRI information, tensors need to be reoriented during warping, which results in a significant increase in algorithmic complexity and computation time. This work is our first attempt to circumvent this problem by using for registration tensors characteristics that are invariant to rigid transformations, instead of the tensors themselves. The invariants used in the experiments reported here are the tensor eigenvalues. |
| doi_str_mv | 10.1109/ISBI.2002.1029369 |
| format | Conference Proceeding |
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In recent years, Diffusion Tensor Magnetic Resonance Imaging (DT-MRI) has been used in conjunction with other conventional Magnetic Resonance (MR) pulse sequences to provide more structural information during the registration process. Due to the geometric nature of the DT-MRI information, tensors need to be reoriented during warping, which results in a significant increase in algorithmic complexity and computation time. This work is our first attempt to circumvent this problem by using for registration tensors characteristics that are invariant to rigid transformations, instead of the tensors themselves. 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In recent years, Diffusion Tensor Magnetic Resonance Imaging (DT-MRI) has been used in conjunction with other conventional Magnetic Resonance (MR) pulse sequences to provide more structural information during the registration process. Due to the geometric nature of the DT-MRI information, tensors need to be reoriented during warping, which results in a significant increase in algorithmic complexity and computation time. This work is our first attempt to circumvent this problem by using for registration tensors characteristics that are invariant to rigid transformations, instead of the tensors themselves. The invariants used in the experiments reported here are the tensor eigenvalues.</description><subject>Anisotropic magnetoresistance</subject><subject>Biomedical imaging</subject><subject>Brain</subject><subject>Diffusion tensor imaging</subject><subject>Eigenvalues and eigenfunctions</subject><subject>Hospitals</subject><subject>Magnetic resonance</subject><subject>Radiology</subject><subject>Tensile stress</subject><subject>Vents</subject><isbn>078037584X</isbn><isbn>9780780375840</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2002</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotkN1KAzEQhQMiqLUPIN7kBXadJNtkc6mt1oWKoBW8W_Iz0Ui7K0kQfHuX2rkZmDPng3MIuWJQMwb6pnu962oOwGsGXAupT8gFqBaEWrTN-xmZ5_wF04hJWzTnpF9hGNPe2B3ShB8xl2RKHAc6BrraVk8vHfWmGGpNRk-n-6QP-WA5vMXhx6RohkILDnlM1H2aZFzBNKGiy5fkNJhdxvlxz8jbw_12-Vhtntfd8nZTOc5FqZBLZbn1TMnAUSqntBRWgxMefONaw4CBA9eqoJhupUOAKZGSorHcBylm5PqfGxGx_05xb9Jvf-xA_AESNlMZ</recordid><startdate>2002</startdate><enddate>2002</enddate><creator>Guimond, A.</creator><creator>Guttmann, C.R.G.</creator><creator>Warfield, S.K.</creator><creator>Westin, C.-F.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>2002</creationdate><title>Deformable registration of DT-MRI data based on transformation invariant tensor characteristics</title><author>Guimond, A. ; Guttmann, C.R.G. ; Warfield, S.K. ; Westin, C.-F.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c223t-e267b2bd176f2e67c7963b90c3d0d4c8a1010c0c87f71986ce007587634b2df63</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2002</creationdate><topic>Anisotropic magnetoresistance</topic><topic>Biomedical imaging</topic><topic>Brain</topic><topic>Diffusion tensor imaging</topic><topic>Eigenvalues and eigenfunctions</topic><topic>Hospitals</topic><topic>Magnetic resonance</topic><topic>Radiology</topic><topic>Tensile stress</topic><topic>Vents</topic><toplevel>online_resources</toplevel><creatorcontrib>Guimond, A.</creatorcontrib><creatorcontrib>Guttmann, C.R.G.</creatorcontrib><creatorcontrib>Warfield, S.K.</creatorcontrib><creatorcontrib>Westin, C.-F.</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></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Guimond, A.</au><au>Guttmann, C.R.G.</au><au>Warfield, S.K.</au><au>Westin, C.-F.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Deformable registration of DT-MRI data based on transformation invariant tensor characteristics</atitle><btitle>Proceedings IEEE International Symposium on Biomedical Imaging</btitle><stitle>ISBI</stitle><date>2002</date><risdate>2002</risdate><spage>761</spage><epage>764</epage><pages>761-764</pages><isbn>078037584X</isbn><isbn>9780780375840</isbn><abstract>Conventional deformable registration methods are mostly driven by the interface between different brain structures. In recent years, Diffusion Tensor Magnetic Resonance Imaging (DT-MRI) has been used in conjunction with other conventional Magnetic Resonance (MR) pulse sequences to provide more structural information during the registration process. Due to the geometric nature of the DT-MRI information, tensors need to be reoriented during warping, which results in a significant increase in algorithmic complexity and computation time. This work is our first attempt to circumvent this problem by using for registration tensors characteristics that are invariant to rigid transformations, instead of the tensors themselves. The invariants used in the experiments reported here are the tensor eigenvalues.</abstract><pub>IEEE</pub><doi>10.1109/ISBI.2002.1029369</doi><tpages>4</tpages></addata></record> |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Anisotropic magnetoresistance Biomedical imaging Brain Diffusion tensor imaging Eigenvalues and eigenfunctions Hospitals Magnetic resonance Radiology Tensile stress Vents |
| title | Deformable registration of DT-MRI data based on transformation invariant tensor characteristics |
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