Strategies for brain shift evaluation
For the analysis of the brain shift phenomenon different strategies were applied. In 32 glioma cases pre- and intraoperative MR datasets were acquired in order to evaluate the maximum displacement of the brain surface and the deep tumor margin. After rigid registration using the software of the neur...
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Veröffentlicht in: | Medical image analysis 2004-12, Vol.8 (4), p.447-464 |
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creator | Hastreiter, Peter Rezk-Salama, Christof Soza, Grzegorz Bauer, Michael Greiner, Günther Fahlbusch, Rudolf Ganslandt, Oliver Nimsky, Christopher |
description | For the analysis of the brain shift phenomenon different strategies were applied. In 32 glioma cases pre- and intraoperative MR datasets were acquired in order to evaluate the maximum displacement of the brain surface and the deep tumor margin. After rigid registration using the software of the neuronavigation system, a direct comparison was made with 2D- and 3D visualizations. As a result, a great variability of the brain shift was observed ranging up to 24 mm for cortical displacement and exceeding 3 mm for the deep tumor margin in 66% of all cases. Following intraoperative imaging the neuronavigation system was updated in eight cases providing reliable guidance. For a more comprehensive analysis a voxel-based nonlinear registration was applied. Aiming at improved speed of alignment we performed all interpolation operations with 3D texture mapping based on OpenGL functions supported in graphics hardware. Further acceleration was achieved with an adaptive refinement of the underlying control point grid focusing on the main deformation areas. For a quick overview the registered datasets were evaluated with different 3D visualization approaches. Finally, the results were compared to the initial measurements contributing to a better understanding of the brain shift phenomenon. Overall, the experiments clearly demonstrate that deformations of the brain surface and deeper brain structures are uncorrelated. |
doi_str_mv | 10.1016/j.media.2004.02.001 |
format | Article |
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In 32 glioma cases pre- and intraoperative MR datasets were acquired in order to evaluate the maximum displacement of the brain surface and the deep tumor margin. After rigid registration using the software of the neuronavigation system, a direct comparison was made with 2D- and 3D visualizations. As a result, a great variability of the brain shift was observed ranging up to 24 mm for cortical displacement and exceeding 3 mm for the deep tumor margin in 66% of all cases. Following intraoperative imaging the neuronavigation system was updated in eight cases providing reliable guidance. For a more comprehensive analysis a voxel-based nonlinear registration was applied. Aiming at improved speed of alignment we performed all interpolation operations with 3D texture mapping based on OpenGL functions supported in graphics hardware. Further acceleration was achieved with an adaptive refinement of the underlying control point grid focusing on the main deformation areas. For a quick overview the registered datasets were evaluated with different 3D visualization approaches. Finally, the results were compared to the initial measurements contributing to a better understanding of the brain shift phenomenon. Overall, the experiments clearly demonstrate that deformations of the brain surface and deeper brain structures are uncorrelated.</description><subject>Brain Neoplasms - pathology</subject><subject>Brain Neoplasms - surgery</subject><subject>Brain shift</subject><subject>Glioma - pathology</subject><subject>Glioma - surgery</subject><subject>Graphics hardware</subject><subject>Humans</subject><subject>Image Processing, Computer-Assisted</subject><subject>Imaging, Three-Dimensional</subject><subject>Intraoperative MRI</subject><subject>Magnetic Resonance Imaging</subject><subject>Models, Statistical</subject><subject>Monitoring, Intraoperative</subject><subject>Neurosurgical Procedures - methods</subject><subject>Registration</subject><issn>1361-8415</issn><issn>1361-8423</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2004</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkE1LAzEQhoMoVqu_QJC96G3XydcmPXiQ4hcUPKjnkM1ONGW7W5NtwX_v1ha96WkG5nnfgYeQMwoFBVpezYsF1sEWDEAUwAoAukeOKC9prgXj-z87lSNynNIcAJQQcEhGVMpSKdBH5OK5j7bHt4Ap813MqmhDm6X34PsM17ZZ2T507Qk58LZJeLqbY_J6d_syfchnT_eP05tZ7rjWfe69KLFCh8rWtpTISsoFqnqiUTpvNXo-0aArJazSkgnJ0TvJKlZz661VfEwut73L2H2sMPVmEZLDprEtdqtkSkW5Eor_C1LFQUK5AfkWdLFLKaI3yxgWNn4aCmaj0czNt0az0WiAmUHjkDrf1a-q4fqb2XkbgOstgIONdcBokgvYuqEpoutN3YU_H3wBEPKD0g</recordid><startdate>20041201</startdate><enddate>20041201</enddate><creator>Hastreiter, Peter</creator><creator>Rezk-Salama, Christof</creator><creator>Soza, Grzegorz</creator><creator>Bauer, Michael</creator><creator>Greiner, Günther</creator><creator>Fahlbusch, Rudolf</creator><creator>Ganslandt, Oliver</creator><creator>Nimsky, Christopher</creator><general>Elsevier B.V</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>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>7X8</scope></search><sort><creationdate>20041201</creationdate><title>Strategies for brain shift evaluation</title><author>Hastreiter, Peter ; Rezk-Salama, Christof ; Soza, Grzegorz ; Bauer, Michael ; Greiner, Günther ; Fahlbusch, Rudolf ; Ganslandt, Oliver ; Nimsky, Christopher</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c388t-ff46ebece7ada65e26134e7d98e5cfa8ef39808b74a7852453efc52b2d3afaa73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Brain Neoplasms - pathology</topic><topic>Brain Neoplasms - surgery</topic><topic>Brain shift</topic><topic>Glioma - pathology</topic><topic>Glioma - surgery</topic><topic>Graphics hardware</topic><topic>Humans</topic><topic>Image Processing, Computer-Assisted</topic><topic>Imaging, Three-Dimensional</topic><topic>Intraoperative MRI</topic><topic>Magnetic Resonance Imaging</topic><topic>Models, Statistical</topic><topic>Monitoring, Intraoperative</topic><topic>Neurosurgical Procedures - methods</topic><topic>Registration</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hastreiter, Peter</creatorcontrib><creatorcontrib>Rezk-Salama, Christof</creatorcontrib><creatorcontrib>Soza, Grzegorz</creatorcontrib><creatorcontrib>Bauer, Michael</creatorcontrib><creatorcontrib>Greiner, Günther</creatorcontrib><creatorcontrib>Fahlbusch, Rudolf</creatorcontrib><creatorcontrib>Ganslandt, Oliver</creatorcontrib><creatorcontrib>Nimsky, Christopher</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Medical image analysis</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hastreiter, Peter</au><au>Rezk-Salama, Christof</au><au>Soza, Grzegorz</au><au>Bauer, Michael</au><au>Greiner, Günther</au><au>Fahlbusch, Rudolf</au><au>Ganslandt, Oliver</au><au>Nimsky, Christopher</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Strategies for brain shift evaluation</atitle><jtitle>Medical image analysis</jtitle><addtitle>Med Image Anal</addtitle><date>2004-12-01</date><risdate>2004</risdate><volume>8</volume><issue>4</issue><spage>447</spage><epage>464</epage><pages>447-464</pages><issn>1361-8415</issn><eissn>1361-8423</eissn><abstract>For the analysis of the brain shift phenomenon different strategies were applied. In 32 glioma cases pre- and intraoperative MR datasets were acquired in order to evaluate the maximum displacement of the brain surface and the deep tumor margin. After rigid registration using the software of the neuronavigation system, a direct comparison was made with 2D- and 3D visualizations. As a result, a great variability of the brain shift was observed ranging up to 24 mm for cortical displacement and exceeding 3 mm for the deep tumor margin in 66% of all cases. Following intraoperative imaging the neuronavigation system was updated in eight cases providing reliable guidance. For a more comprehensive analysis a voxel-based nonlinear registration was applied. Aiming at improved speed of alignment we performed all interpolation operations with 3D texture mapping based on OpenGL functions supported in graphics hardware. Further acceleration was achieved with an adaptive refinement of the underlying control point grid focusing on the main deformation areas. For a quick overview the registered datasets were evaluated with different 3D visualization approaches. Finally, the results were compared to the initial measurements contributing to a better understanding of the brain shift phenomenon. Overall, the experiments clearly demonstrate that deformations of the brain surface and deeper brain structures are uncorrelated.</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>15567708</pmid><doi>10.1016/j.media.2004.02.001</doi><tpages>18</tpages></addata></record> |
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subjects | Brain Neoplasms - pathology Brain Neoplasms - surgery Brain shift Glioma - pathology Glioma - surgery Graphics hardware Humans Image Processing, Computer-Assisted Imaging, Three-Dimensional Intraoperative MRI Magnetic Resonance Imaging Models, Statistical Monitoring, Intraoperative Neurosurgical Procedures - methods Registration |
title | Strategies for brain shift evaluation |
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