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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Medical image analysis 2004-12, Vol.8 (4), p.447-464
Hauptverfasser: Hastreiter, Peter, Rezk-Salama, Christof, Soza, Grzegorz, Bauer, Michael, Greiner, Günther, Fahlbusch, Rudolf, Ganslandt, Oliver, Nimsky, Christopher
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 464
container_issue 4
container_start_page 447
container_title Medical image analysis
container_volume 8
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
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_67137473</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S1361841504000155</els_id><sourcerecordid>67137473</sourcerecordid><originalsourceid>FETCH-LOGICAL-c388t-ff46ebece7ada65e26134e7d98e5cfa8ef39808b74a7852453efc52b2d3afaa73</originalsourceid><addsrcrecordid>eNqFkE1LAzEQhoMoVqu_QJC96G3XydcmPXiQ4hcUPKjnkM1ONGW7W5NtwX_v1ha96WkG5nnfgYeQMwoFBVpezYsF1sEWDEAUwAoAukeOKC9prgXj-z87lSNynNIcAJQQcEhGVMpSKdBH5OK5j7bHt4Ap813MqmhDm6X34PsM17ZZ2T507Qk58LZJeLqbY_J6d_syfchnT_eP05tZ7rjWfe69KLFCh8rWtpTISsoFqnqiUTpvNXo-0aArJazSkgnJ0TvJKlZz661VfEwut73L2H2sMPVmEZLDprEtdqtkSkW5Eor_C1LFQUK5AfkWdLFLKaI3yxgWNn4aCmaj0czNt0az0WiAmUHjkDrf1a-q4fqb2XkbgOstgIONdcBokgvYuqEpoutN3YU_H3wBEPKD0g</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>17305063</pqid></control><display><type>article</type><title>Strategies for brain shift evaluation</title><source>MEDLINE</source><source>Elsevier ScienceDirect Journals</source><creator>Hastreiter, Peter ; Rezk-Salama, Christof ; Soza, Grzegorz ; Bauer, Michael ; Greiner, Günther ; Fahlbusch, Rudolf ; Ganslandt, Oliver ; Nimsky, Christopher</creator><creatorcontrib>Hastreiter, Peter ; Rezk-Salama, Christof ; Soza, Grzegorz ; Bauer, Michael ; Greiner, Günther ; Fahlbusch, Rudolf ; Ganslandt, Oliver ; Nimsky, Christopher</creatorcontrib><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.</description><identifier>ISSN: 1361-8415</identifier><identifier>EISSN: 1361-8423</identifier><identifier>DOI: 10.1016/j.media.2004.02.001</identifier><identifier>PMID: 15567708</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>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</subject><ispartof>Medical image analysis, 2004-12, Vol.8 (4), p.447-464</ispartof><rights>2004 Elsevier B.V.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c388t-ff46ebece7ada65e26134e7d98e5cfa8ef39808b74a7852453efc52b2d3afaa73</citedby><cites>FETCH-LOGICAL-c388t-ff46ebece7ada65e26134e7d98e5cfa8ef39808b74a7852453efc52b2d3afaa73</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.media.2004.02.001$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3536,27903,27904,45974</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/15567708$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><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><title>Strategies for brain shift evaluation</title><title>Medical image analysis</title><addtitle>Med Image Anal</addtitle><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.</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>
fulltext fulltext
identifier ISSN: 1361-8415
ispartof Medical image analysis, 2004-12, Vol.8 (4), p.447-464
issn 1361-8415
1361-8423
language eng
recordid cdi_proquest_miscellaneous_67137473
source MEDLINE; Elsevier ScienceDirect Journals
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
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-21T23%3A36%3A39IST&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=Strategies%20for%20brain%20shift%20evaluation&rft.jtitle=Medical%20image%20analysis&rft.au=Hastreiter,%20Peter&rft.date=2004-12-01&rft.volume=8&rft.issue=4&rft.spage=447&rft.epage=464&rft.pages=447-464&rft.issn=1361-8415&rft.eissn=1361-8423&rft_id=info:doi/10.1016/j.media.2004.02.001&rft_dat=%3Cproquest_cross%3E67137473%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=17305063&rft_id=info:pmid/15567708&rft_els_id=S1361841504000155&rfr_iscdi=true