The Creation of a Brain Atlas for Image Guided Neurosurgery Using Serial Histological Data
Identifieur interne : 000D17 ( Istex/Corpus ); précédent : 000D16; suivant : 000D18The Creation of a Brain Atlas for Image Guided Neurosurgery Using Serial Histological Data
Auteurs : M. Mallar Chakravarty ; Gilles Bertrand ; Maxime Descouteaux ; Abbas F. Sadikot ; D. Louis CollinsSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2003.
Abstract
Abstract: Digital atlases of the human brain can help in the specific localization of structures of surgical relevance and interest in Image Guided Neurosurgery (IGNS). This paper outlines one of the steps in the creation of a digital atlas intended for IGNS, using histological data. The acquisition of histological data can include artefacts such as tearing, shearing, stretching, shrinking, as well as inhomogeneous staining leading to structural inhomogeneities. These inconsistencies are reduced using a non-linear intensity based registration procedure where deformations are defined using a maximized correlation coefficient estimate. The intensity artefacts brought about by inhomogeneous staining are reduced by applying a slice to slice intensity inhomogeneity correction by modelling the intensity mapping between slices as a third order polynomial that is estimated with a Least Trimmed Squared fit. The lateral ventricle was then segmented and to demonstrate increased smoothing along its surface.
Url:
DOI: 10.1007/978-3-540-39899-8_43
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Louis Collins</name><affiliation><mods:affiliation>Montreal Neurological Institute (MNI), McGill University, Montreal, Canada</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="s">Lecture Notes in Computer Science</title><imprint><date>2003</date></imprint><idno type="ISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="ISSN">0302-9743</idno></series></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0302-9743</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Abstract: Digital atlases of the human brain can help in the specific localization of structures of surgical relevance and interest in Image Guided Neurosurgery (IGNS). This paper outlines one of the steps in the creation of a digital atlas intended for IGNS, using histological data. The acquisition of histological data can include artefacts such as tearing, shearing, stretching, shrinking, as well as inhomogeneous staining leading to structural inhomogeneities. These inconsistencies are reduced using a non-linear intensity based registration procedure where deformations are defined using a maximized correlation coefficient estimate. The intensity artefacts brought about by inhomogeneous staining are reduced by applying a slice to slice intensity inhomogeneity correction by modelling the intensity mapping between slices as a third order polynomial that is estimated with a Least Trimmed Squared fit. 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Robotics)</BookSubject><BookSubject Code="I22013" Priority="5" Type="Secondary">Computer Graphics</BookSubject><BookSubject Code="I2203X" Priority="6" Type="Secondary">Pattern Recognition</BookSubject><SubjectCollection Code="SUCO11645">Computer Science</SubjectCollection></BookSubjectGroup><BookContext><SeriesID>558</SeriesID></BookContext></BookInfo><BookHeader><EditorGroup><Editor AffiliationIDS="Aff4"><EditorName DisplayOrder="Western"><GivenName>Randy</GivenName><GivenName>E.</GivenName><FamilyName>Ellis</FamilyName></EditorName><Contact><Email>ellis@cs.queensu.ca</Email></Contact></Editor><Editor AffiliationIDS="Aff5"><EditorName DisplayOrder="Western"><GivenName>Terry</GivenName><GivenName>M.</GivenName><FamilyName>Peters</FamilyName></EditorName><Contact><Email>tpeters@imaging.robarts.ca</Email></Contact></Editor><Affiliation ID="Aff4"><OrgName>Queen’s University</OrgName><OrgAddress><City>Kingston</City><State>Ontario</State><Country>Canada</Country></OrgAddress></Affiliation><Affiliation ID="Aff5"><OrgName>Canadian Surgical Technologies and Advanced Robotics, London</OrgName><OrgAddress><State>Ontario</State><Country>Canada</Country></OrgAddress></Affiliation></EditorGroup></BookHeader><Part ID="Part3"><PartInfo TocLevels="0"><PartID>3</PartID><PartSequenceNumber>3</PartSequenceNumber><PartTitle>Interventional Registration</PartTitle><PartChapterCount>16</PartChapterCount><PartContext><SeriesID>558</SeriesID><BookTitle>Medical Image Computing and Computer-Assisted Intervention - MICCAI 2003</BookTitle></PartContext></PartInfo><Chapter ID="Chap43" Language="En"><ChapterInfo ChapterType="OriginalPaper" ContainsESM="No" NumberingDepth="2" NumberingStyle="ContentOnly" TocLevels="0"><ChapterID>43</ChapterID><ChapterDOI>10.1007/978-3-540-39899-8_43</ChapterDOI><ChapterSequenceNumber>43</ChapterSequenceNumber><ChapterTitle Language="En">The Creation of a Brain Atlas for Image Guided Neurosurgery Using Serial Histological Data</ChapterTitle><ChapterFirstPage>343</ChapterFirstPage><ChapterLastPage>350</ChapterLastPage><ChapterCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2003</CopyrightYear></ChapterCopyright><ChapterGrants Type="Regular"><MetadataGrant Grant="OpenAccess"></MetadataGrant><AbstractGrant Grant="OpenAccess"></AbstractGrant><BodyPDFGrant Grant="Restricted"></BodyPDFGrant><BodyHTMLGrant Grant="Restricted"></BodyHTMLGrant><BibliographyGrant Grant="Restricted"></BibliographyGrant><ESMGrant Grant="Restricted"></ESMGrant></ChapterGrants><ChapterContext><SeriesID>558</SeriesID><PartID>3</PartID><BookID>978-3-540-39899-8</BookID><BookTitle>Medical Image Computing and Computer-Assisted Intervention - MICCAI 2003</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff6"><AuthorName DisplayOrder="Western"><GivenName>M.</GivenName><GivenName>Mallar</GivenName><FamilyName>Chakravarty</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff6 Aff8"><AuthorName DisplayOrder="Western"><GivenName>Gilles</GivenName><FamilyName>Bertrand</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff7"><AuthorName DisplayOrder="Western"><GivenName>Maxime</GivenName><FamilyName>Descouteaux</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff6 Aff8"><AuthorName DisplayOrder="Western"><GivenName>Abbas</GivenName><GivenName>F.</GivenName><FamilyName>Sadikot</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff6"><AuthorName DisplayOrder="Western"><GivenName>D.</GivenName><GivenName>Louis</GivenName><FamilyName>Collins</FamilyName></AuthorName></Author><Affiliation ID="Aff6"><OrgDivision>Montreal Neurological Institute (MNI)</OrgDivision><OrgName>McGill University</OrgName><OrgAddress><City>Montreal</City><Country>Canada</Country></OrgAddress></Affiliation><Affiliation ID="Aff7"><OrgDivision>Center for Intelligent Machines (CIM)</OrgDivision><OrgName>McGill University</OrgName><OrgAddress><City>Montreal</City><Country>Canada</Country></OrgAddress></Affiliation><Affiliation ID="Aff8"><OrgDivision>Division of Neurosurgery</OrgDivision><OrgName>McGill University</OrgName><OrgAddress><City>Montreal</City><Country>Canada</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>Digital atlases of the human brain can help in the specific localization of structures of surgical relevance and interest in Image Guided Neurosurgery (IGNS). This paper outlines one of the steps in the creation of a digital atlas intended for IGNS, using histological data. The acquisition of histological data can include artefacts such as tearing, shearing, stretching, shrinking, as well as inhomogeneous staining leading to structural inhomogeneities. These inconsistencies are reduced using a non-linear intensity based registration procedure where deformations are defined using a maximized correlation coefficient estimate. The intensity artefacts brought about by inhomogeneous staining are reduced by applying a slice to slice intensity inhomogeneity correction by modelling the intensity mapping between slices as a third order polynomial that is estimated with a Least Trimmed Squared fit. The lateral ventricle was then segmented and to demonstrate increased smoothing along its surface.</Para></Abstract></ChapterHeader><NoBody></NoBody></Chapter></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>The Creation of a Brain Atlas for Image Guided Neurosurgery Using Serial Histological Data</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>The Creation of a Brain Atlas for Image Guided Neurosurgery Using Serial Histological Data</title></titleInfo><name type="personal"><namePart type="given">M.</namePart><namePart type="given">Mallar</namePart><namePart type="family">Chakravarty</namePart><affiliation>Montreal Neurological Institute (MNI), McGill University, Montreal, Canada</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Gilles</namePart><namePart type="family">Bertrand</namePart><affiliation>Montreal Neurological Institute (MNI), McGill University, Montreal, Canada</affiliation><affiliation>Division of Neurosurgery, McGill University, Montreal, Canada</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Maxime</namePart><namePart type="family">Descouteaux</namePart><affiliation>Center for Intelligent Machines (CIM), McGill University, Montreal, Canada</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Abbas</namePart><namePart type="given">F.</namePart><namePart type="family">Sadikot</namePart><affiliation>Montreal Neurological Institute (MNI), McGill University, Montreal, Canada</affiliation><affiliation>Division of Neurosurgery, McGill University, Montreal, Canada</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">D.</namePart><namePart type="given">Louis</namePart><namePart type="family">Collins</namePart><affiliation>Montreal Neurological Institute (MNI), McGill University, Montreal, Canada</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="conference" displayLabel="OriginalPaper"></genre><originInfo><publisher>Springer Berlin Heidelberg</publisher><place><placeTerm type="text">Berlin, Heidelberg</placeTerm></place><dateIssued encoding="w3cdtf">2003</dateIssued><copyrightDate encoding="w3cdtf">2003</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract lang="en">Abstract: Digital atlases of the human brain can help in the specific localization of structures of surgical relevance and interest in Image Guided Neurosurgery (IGNS). This paper outlines one of the steps in the creation of a digital atlas intended for IGNS, using histological data. The acquisition of histological data can include artefacts such as tearing, shearing, stretching, shrinking, as well as inhomogeneous staining leading to structural inhomogeneities. These inconsistencies are reduced using a non-linear intensity based registration procedure where deformations are defined using a maximized correlation coefficient estimate. The intensity artefacts brought about by inhomogeneous staining are reduced by applying a slice to slice intensity inhomogeneity correction by modelling the intensity mapping between slices as a third order polynomial that is estimated with a Least Trimmed Squared fit. The lateral ventricle was then segmented and to demonstrate increased smoothing along its surface.</abstract><relatedItem type="host"><titleInfo><title>Medical Image Computing and Computer-Assisted Intervention - MICCAI 2003</title><subTitle>6th International Conference, Montréal, Canada, November 15-18, 2003. Proceedings</subTitle></titleInfo><name type="personal"><namePart type="given">Randy</namePart><namePart type="given">E.</namePart><namePart type="family">Ellis</namePart><affiliation>Queen’s University, Kingston, Ontario, Canada</affiliation><affiliation>E-mail: ellis@cs.queensu.ca</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Terry</namePart><namePart type="given">M.</namePart><namePart type="family">Peters</namePart><affiliation>Canadian Surgical Technologies and Advanced Robotics, London, Ontario, Canada</affiliation><affiliation>E-mail: tpeters@imaging.robarts.ca</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><genre type="book-series" displayLabel="Proceedings"></genre><originInfo><copyrightDate encoding="w3cdtf">2003</copyrightDate><issuance>monographic</issuance></originInfo><subject><genre>Book-Subject-Collection</genre><topic authority="SpringerSubjectCodes" authorityURI="SUCO11645">Computer Science</topic></subject><subject><genre>Book-Subject-Group</genre><topic authority="SpringerSubjectCodes" authorityURI="I">Computer Science</topic><topic authority="SpringerSubjectCodes" authorityURI="I22021">Image Processing and Computer Vision</topic><topic authority="SpringerSubjectCodes" authorityURI="H28009">Health Informatics</topic><topic authority="SpringerSubjectCodes" authorityURI="H29005">Imaging / Radiology</topic><topic authority="SpringerSubjectCodes" authorityURI="I21017">Artificial Intelligence (incl. Robotics)</topic><topic authority="SpringerSubjectCodes" authorityURI="I22013">Computer Graphics</topic><topic authority="SpringerSubjectCodes" authorityURI="I2203X">Pattern Recognition</topic></subject><identifier type="DOI">10.1007/b93810</identifier><identifier type="ISBN">978-3-540-20462-6</identifier><identifier type="eISBN">978-3-540-39899-8</identifier><identifier type="ISSN">0302-9743</identifier><identifier type="eISSN">1611-3349</identifier><identifier type="BookTitleID">80281</identifier><identifier type="BookID">978-3-540-39899-8</identifier><identifier type="BookChapterCount">98</identifier><identifier type="BookVolumeNumber">2878</identifier><identifier type="BookSequenceNumber">2878</identifier><identifier type="PartChapterCount">16</identifier><part><date>2003</date><detail type="part"><title>Interventional Registration</title></detail><detail type="volume"><number>2878</number><caption>vol.</caption></detail><extent unit="pages"><start>343</start><end>350</end></extent></part><recordInfo><recordOrigin>Springer-Verlag Berlin Heidelberg, 2003</recordOrigin></recordInfo></relatedItem><relatedItem type="series"><titleInfo><title>Lecture Notes in Computer Science</title></titleInfo><name type="personal"><namePart type="given">Gerhard</namePart><namePart type="family">Goos</namePart><affiliation>Karlsruhe University, Germany</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Juris</namePart><namePart type="family">Hartmanis</namePart><affiliation>Cornell University, NY, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Jan</namePart><namePart type="family">van Leeuwen</namePart><affiliation>Utrecht University, The Netherlands</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><originInfo><copyrightDate encoding="w3cdtf">2003</copyrightDate><issuance>serial</issuance></originInfo><identifier type="ISSN">0302-9743</identifier><identifier type="eISSN">1611-3349</identifier><identifier type="SeriesID">558</identifier><recordInfo><recordOrigin>Springer-Verlag Berlin Heidelberg, 2003</recordOrigin></recordInfo></relatedItem><identifier type="istex">BAE28F0E29CDB81C1859A4ADDD9D0A55C7DF65AF</identifier><identifier type="DOI">10.1007/978-3-540-39899-8_43</identifier><identifier type="ChapterID">43</identifier><identifier type="ChapterID">Chap43</identifier><accessCondition type="use and reproduction" contentType="copyright">Springer-Verlag Berlin Heidelberg, 2003</accessCondition><recordInfo><recordContentSource>SPRINGER</recordContentSource><recordOrigin>Springer-Verlag Berlin Heidelberg, 2003</recordOrigin></recordInfo></mods></metadata></istex></record>Pour manipuler ce document sous Unix (Dilib)
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