An automatic registration method for frameless stereotaxy, image guided surgery, and enhanced reality visualization
There is a need for frameless guidance systems to help surgeons plan the exact location for incisions, to define the margins of tumors, and to precisely identify locations of neighboring critical structures. The authors have developed an automatic technique for registering clinical data, such as seg...
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| Veröffentlicht in: | IEEE Transactions on Medical Imaging 1996-04, Vol.15 (2), p.129-140 |
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| container_title | IEEE Transactions on Medical Imaging |
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| creator | Grimson, W.E.L. Ettinger, G.J. White, S.J. Lozano-Perez, T. Wells, W.M. Kikinis, R. |
| description | There is a need for frameless guidance systems to help surgeons plan the exact location for incisions, to define the margins of tumors, and to precisely identify locations of neighboring critical structures. The authors have developed an automatic technique for registering clinical data, such as segmented magnetic resonance imaging (MRI) or computed tomography (CT) reconstructions, with any view of the patient on the operating table. The authors demonstrate on the specific example of neurosurgery. The method enables a visual mix of live video of the patient and the segmented three-dimensional (3-D) MRI or CT model. This supports enhanced reality techniques for planning and guiding neurosurgical procedures and allows us to interactively view extracranial or intracranial structures nonintrusively. Extensions of the method include image guided biopsies, focused therapeutic procedures, and clinical studies involving change detection over time sequences of images. |
| doi_str_mv | 10.1109/42.491415 |
| format | Article |
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The authors have developed an automatic technique for registering clinical data, such as segmented magnetic resonance imaging (MRI) or computed tomography (CT) reconstructions, with any view of the patient on the operating table. The authors demonstrate on the specific example of neurosurgery. The method enables a visual mix of live video of the patient and the segmented three-dimensional (3-D) MRI or CT model. This supports enhanced reality techniques for planning and guiding neurosurgical procedures and allows us to interactively view extracranial or intracranial structures nonintrusively. Extensions of the method include image guided biopsies, focused therapeutic procedures, and clinical studies involving change detection over time sequences of images.</description><identifier>ISSN: 0278-0062</identifier><identifier>EISSN: 1558-254X</identifier><identifier>DOI: 10.1109/42.491415</identifier><identifier>PMID: 18215896</identifier><identifier>CODEN: ITMID4</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Artificial intelligence ; Biological and medical sciences ; BIOLOGY AND MEDICINE, BASIC STUDIES ; Biomedical imaging ; Biopsy ; Computed tomography ; COMPUTERIZED TOMOGRAPHY ; Data visualization ; IMAGE PROCESSING ; Image segmentation ; Magnetic resonance imaging ; Medical sciences ; Minimally invasive surgery ; NERVOUS SYSTEM ; NERVOUS SYSTEM DISEASES ; Neurosurgery ; NMR IMAGING ; SURGERY ; Surgery (general aspects). Transplantations, organ and tissue grafts. Graft diseases ; Technology. Biomaterials. Equipments ; Three dimensional displays ; THREE-DIMENSIONAL CALCULATIONS</subject><ispartof>IEEE Transactions on Medical Imaging, 1996-04, Vol.15 (2), p.129-140</ispartof><rights>1996 INIST-CNRS</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c418t-e39242a20ea00bb9f71ab598d61a87b1b63ddde22e7c07464d6be925a1ffb2333</citedby><cites>FETCH-LOGICAL-c418t-e39242a20ea00bb9f71ab598d61a87b1b63ddde22e7c07464d6be925a1ffb2333</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/491415$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,881,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/491415$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=3045792$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/18215896$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://www.osti.gov/biblio/227871$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Grimson, W.E.L.</creatorcontrib><creatorcontrib>Ettinger, G.J.</creatorcontrib><creatorcontrib>White, S.J.</creatorcontrib><creatorcontrib>Lozano-Perez, T.</creatorcontrib><creatorcontrib>Wells, W.M.</creatorcontrib><creatorcontrib>Kikinis, R.</creatorcontrib><title>An automatic registration method for frameless stereotaxy, image guided surgery, and enhanced reality visualization</title><title>IEEE Transactions on Medical Imaging</title><addtitle>TMI</addtitle><addtitle>IEEE Trans Med Imaging</addtitle><description>There is a need for frameless guidance systems to help surgeons plan the exact location for incisions, to define the margins of tumors, and to precisely identify locations of neighboring critical structures. The authors have developed an automatic technique for registering clinical data, such as segmented magnetic resonance imaging (MRI) or computed tomography (CT) reconstructions, with any view of the patient on the operating table. The authors demonstrate on the specific example of neurosurgery. The method enables a visual mix of live video of the patient and the segmented three-dimensional (3-D) MRI or CT model. This supports enhanced reality techniques for planning and guiding neurosurgical procedures and allows us to interactively view extracranial or intracranial structures nonintrusively. Extensions of the method include image guided biopsies, focused therapeutic procedures, and clinical studies involving change detection over time sequences of images.</description><subject>Artificial intelligence</subject><subject>Biological and medical sciences</subject><subject>BIOLOGY AND MEDICINE, BASIC STUDIES</subject><subject>Biomedical imaging</subject><subject>Biopsy</subject><subject>Computed tomography</subject><subject>COMPUTERIZED TOMOGRAPHY</subject><subject>Data visualization</subject><subject>IMAGE PROCESSING</subject><subject>Image segmentation</subject><subject>Magnetic resonance imaging</subject><subject>Medical sciences</subject><subject>Minimally invasive surgery</subject><subject>NERVOUS SYSTEM</subject><subject>NERVOUS SYSTEM DISEASES</subject><subject>Neurosurgery</subject><subject>NMR IMAGING</subject><subject>SURGERY</subject><subject>Surgery (general aspects). Transplantations, organ and tissue grafts. Graft diseases</subject><subject>Technology. Biomaterials. Equipments</subject><subject>Three dimensional displays</subject><subject>THREE-DIMENSIONAL CALCULATIONS</subject><issn>0278-0062</issn><issn>1558-254X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1996</creationdate><recordtype>article</recordtype><recordid>eNqF0UGL1TAQB_AgivtcPXj1IFmQFcGuyTRpmuOyuCoseFHwVtJk-l6kbdYkFZ-f3mjLetNThpkfE5g_IU85u-Cc6TcCLoTmgst7ZMelbCuQ4st9smOg2oqxBk7Io5S-MsaFZPohOeEtcNnqZkfS5UzNksNksrc04t6nHEsdZjphPgRHhxDpEM2EI6ZEU8aIIZsfx9fUT2aPdL94h46mJe4xlq6ZHcX5YGZbuhHN6PORfvdpKdXPP5sfkweDGRM-2d5T8vn67aer99XNx3cfri5vKit4myusNQgwwNAw1vd6UNz0Ureu4aZVPe-b2jmHAKgsU6IRrulRgzR8GHqo6_qUnK17Q8q-S9ZntAcb5hlt7qDcRvFiXq7mNoZvC6bcTT5ZHEczY1hSp2oBQgFXRZ7_U0JbnOb8v5BLBQxAFPhqhTaGlCIO3W0sN43HjrPud7CdgG4Nttjn29Kln9D9lVuSBbzYgEnWjCWx2fp052ompNJQ2LOVeUS8m26f_AJtxLOZ</recordid><startdate>19960401</startdate><enddate>19960401</enddate><creator>Grimson, W.E.L.</creator><creator>Ettinger, G.J.</creator><creator>White, S.J.</creator><creator>Lozano-Perez, T.</creator><creator>Wells, W.M.</creator><creator>Kikinis, R.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><scope>IQODW</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>7SC</scope><scope>7U5</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>7X8</scope><scope>OTOTI</scope></search><sort><creationdate>19960401</creationdate><title>An automatic registration method for frameless stereotaxy, image guided surgery, and enhanced reality visualization</title><author>Grimson, W.E.L. ; Ettinger, G.J. ; White, S.J. ; Lozano-Perez, T. ; Wells, W.M. ; Kikinis, R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c418t-e39242a20ea00bb9f71ab598d61a87b1b63ddde22e7c07464d6be925a1ffb2333</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1996</creationdate><topic>Artificial intelligence</topic><topic>Biological and medical sciences</topic><topic>BIOLOGY AND MEDICINE, BASIC STUDIES</topic><topic>Biomedical imaging</topic><topic>Biopsy</topic><topic>Computed tomography</topic><topic>COMPUTERIZED TOMOGRAPHY</topic><topic>Data visualization</topic><topic>IMAGE PROCESSING</topic><topic>Image segmentation</topic><topic>Magnetic resonance imaging</topic><topic>Medical sciences</topic><topic>Minimally invasive surgery</topic><topic>NERVOUS SYSTEM</topic><topic>NERVOUS SYSTEM DISEASES</topic><topic>Neurosurgery</topic><topic>NMR IMAGING</topic><topic>SURGERY</topic><topic>Surgery (general aspects). Transplantations, organ and tissue grafts. Graft diseases</topic><topic>Technology. Biomaterials. Equipments</topic><topic>Three dimensional displays</topic><topic>THREE-DIMENSIONAL CALCULATIONS</topic><toplevel>online_resources</toplevel><creatorcontrib>Grimson, W.E.L.</creatorcontrib><creatorcontrib>Ettinger, G.J.</creatorcontrib><creatorcontrib>White, S.J.</creatorcontrib><creatorcontrib>Lozano-Perez, T.</creatorcontrib><creatorcontrib>Wells, W.M.</creatorcontrib><creatorcontrib>Kikinis, R.</creatorcontrib><collection>Pascal-Francis</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>Computer and Information Systems Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>MEDLINE - Academic</collection><collection>OSTI.GOV</collection><jtitle>IEEE Transactions on Medical Imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Grimson, W.E.L.</au><au>Ettinger, G.J.</au><au>White, S.J.</au><au>Lozano-Perez, T.</au><au>Wells, W.M.</au><au>Kikinis, R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An automatic registration method for frameless stereotaxy, image guided surgery, and enhanced reality visualization</atitle><jtitle>IEEE Transactions on Medical Imaging</jtitle><stitle>TMI</stitle><addtitle>IEEE Trans Med Imaging</addtitle><date>1996-04-01</date><risdate>1996</risdate><volume>15</volume><issue>2</issue><spage>129</spage><epage>140</epage><pages>129-140</pages><issn>0278-0062</issn><eissn>1558-254X</eissn><coden>ITMID4</coden><abstract>There is a need for frameless guidance systems to help surgeons plan the exact location for incisions, to define the margins of tumors, and to precisely identify locations of neighboring critical structures. The authors have developed an automatic technique for registering clinical data, such as segmented magnetic resonance imaging (MRI) or computed tomography (CT) reconstructions, with any view of the patient on the operating table. The authors demonstrate on the specific example of neurosurgery. The method enables a visual mix of live video of the patient and the segmented three-dimensional (3-D) MRI or CT model. This supports enhanced reality techniques for planning and guiding neurosurgical procedures and allows us to interactively view extracranial or intracranial structures nonintrusively. Extensions of the method include image guided biopsies, focused therapeutic procedures, and clinical studies involving change detection over time sequences of images.</abstract><cop>New York, NY</cop><pub>IEEE</pub><pmid>18215896</pmid><doi>10.1109/42.491415</doi><tpages>12</tpages></addata></record> |
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| ispartof | IEEE Transactions on Medical Imaging, 1996-04, Vol.15 (2), p.129-140 |
| issn | 0278-0062 1558-254X |
| language | eng |
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| subjects | Artificial intelligence Biological and medical sciences BIOLOGY AND MEDICINE, BASIC STUDIES Biomedical imaging Biopsy Computed tomography COMPUTERIZED TOMOGRAPHY Data visualization IMAGE PROCESSING Image segmentation Magnetic resonance imaging Medical sciences Minimally invasive surgery NERVOUS SYSTEM NERVOUS SYSTEM DISEASES Neurosurgery NMR IMAGING SURGERY Surgery (general aspects). Transplantations, organ and tissue grafts. Graft diseases Technology. Biomaterials. Equipments Three dimensional displays THREE-DIMENSIONAL CALCULATIONS |
| title | An automatic registration method for frameless stereotaxy, image guided surgery, and enhanced reality visualization |
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