Fusion of Histological Sections and MR Images: Towards the Construction of an Atlas of the Human Basal Ganglia
Identifieur interne : 000603 ( Istex/Corpus ); précédent : 000602; suivant : 000604Fusion of Histological Sections and MR Images: Towards the Construction of an Atlas of the Human Basal Ganglia
Auteurs : S. Ourselin ; E. Bardinet ; D. Dormont ; G. Malandain ; A. Roche ; N. Ayache ; D. Tandé ; K. Parain ; J. YelnikSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2001.
Abstract
Abstract: In neurosurgery, localisation of deep brain structures is a crucial issue, which can be assisted by a 3-dimensional brain atlases. Our goal is to build such an atlas by fusing histological data with a 3D MR image of the same subject. This requires two steps: first a 2D realignment of the histological sections in order to obtain a three-dimensional block, then a 3D registration between this reconstructed block and the MR image. Both steps are based on the same robust registration algorithm.
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DOI: 10.1007/3-540-45468-3_89
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Yelnik</name><affiliation><mods:affiliation>Salpêtrière Hospital, INSERM U289, France</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="s">Lecture Notes in Computer Science</title><imprint><date>2001</date></imprint><idno type="ISSN">0302-9743</idno><idno type="ISSN">0302-9743</idno></series><idno type="istex">5ECD9381E61DE26EECCD151ECFB3D80658B0E687</idno><idno type="DOI">10.1007/3-540-45468-3_89</idno><idno type="ChapterID">89</idno><idno type="ChapterID">Chap89</idno></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: In neurosurgery, localisation of deep brain structures is a crucial issue, which can be assisted by a 3-dimensional brain atlases. 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Both steps are based on the same robust registration algorithm.</abstract><qualityIndicators><score>4.013</score><pdfVersion>1.3</pdfVersion><pdfPageSize>431 x 666 pts</pdfPageSize><refBibsNative>false</refBibsNative><keywordCount>0</keywordCount><abstractCharCount>504</abstractCharCount><pdfWordCount>3017</pdfWordCount><pdfCharCount>18227</pdfCharCount><pdfPageCount>9</pdfPageCount><abstractWordCount>83</abstractWordCount></qualityIndicators><title>Fusion of Histological Sections and MR Images: Towards the Construction of an Atlas of the Human Basal Ganglia</title><chapterId><json:string>89</json:string><json:string>Chap89</json:string></chapterId><refBibs><json:item><author><json:item><name>A,L Benabid</name></json:item><json:item><name>P Pollak</name></json:item><json:item><name>C Gervason</name></json:item><json:item><name>D Hoffmann</name></json:item><json:item><name>D,M Gao</name></json:item><json:item><name>M Hommel</name></json:item><json:item><name>J Perret</name></json:item><json:item><name>J De Rougemont</name></json:item></author><host><volume>337</volume><pages><last>406</last><first>403</first></pages><author></author><title>Lancet</title><publicationDate>1991</publicationDate></host><title>Long-term suppression of tremors by chronic stimulation of the ventral intermediate thalamic nucleus</title><publicationDate>1991</publicationDate></json:item><json:item><author><json:item><name>A,L Benabid</name></json:item><json:item><name>P Pollak</name></json:item><json:item><name>A Louveau</name></json:item><json:item><name>S Henry</name></json:item><json:item><name>J De Rougemont</name></json:item></author><host><volume>50</volume><pages><last>6</last><first>1</first></pages><author></author><title>Appl. 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Neurophysiol</title><publicationDate>1987</publicationDate></host><title>Creation of a Three-Dimensional Atlas by Interpolation from Schaltenbrand-Bailey's Atlas</title><publicationDate>1987</publicationDate></json:item></refBibs><genre><json:string>conference</json:string></genre><serie><editor><json:item><name>Gerhard Goos</name><affiliations><json:string>Karlsruhe University, Germany</json:string></affiliations></json:item><json:item><name>Juris Hartmanis</name><affiliations><json:string>Cornell University, NY, USA</json:string></affiliations></json:item><json:item><name>Jan van Leeuwen</name><affiliations><json:string>Utrecht University, The Netherlands</json:string></affiliations></json:item></editor><issn><json:string>0302-9743</json:string></issn><language><json:string>unknown</json:string></language><title>Lecture Notes in Computer Science</title><copyrightDate>2001</copyrightDate></serie><host><editor><json:item><name>Wiro J. Niessen</name><affiliations><json:string>Image Sciences Institute, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands</json:string><json:string>E-mail: wiro@isi.uu.nl</json:string></affiliations></json:item><json:item><name>Max A. Viergever</name><affiliations><json:string>Image Sciences Institute, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands</json:string><json:string>E-mail: max@isi.uu.nl</json:string></affiliations></json:item></editor><subject><json:item><value>Computer Science</value></json:item><json:item><value>Computer Science</value></json:item><json:item><value>Image Processing and Computer Vision</value></json:item><json:item><value>Health Informatics</value></json:item><json:item><value>Surgery</value></json:item><json:item><value>Pattern Recognition</value></json:item><json:item><value>Computer Graphics</value></json:item><json:item><value>Artificial Intelligence (incl. 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Basal Ganglia</title><author xml:id="author-1"><persName><forename type="first">S.</forename><surname>Ourselin</surname></persName><affiliation>Epidaure Project, INRIA, Sophia Antipolis, France</affiliation></author><author xml:id="author-2"><persName><forename type="first">E.</forename><surname>Bardinet</surname></persName><affiliation>Epidaure Project, INRIA, Sophia Antipolis, France</affiliation></author><author xml:id="author-3"><persName><forename type="first">D.</forename><surname>Dormont</surname></persName><affiliation>Neuroradiology Dept and LENA UPR 640-CNRS, Salpêtrière Hospital, France</affiliation></author><author xml:id="author-4"><persName><forename type="first">G.</forename><surname>Malandain</surname></persName><affiliation>Epidaure Project, INRIA, Sophia Antipolis, France</affiliation></author><author xml:id="author-5"><persName><forename type="first">A.</forename><surname>Roche</surname></persName><affiliation>Epidaure Project, INRIA, Sophia Antipolis, France</affiliation></author><author xml:id="author-6"><persName><forename type="first">N.</forename><surname>Ayache</surname></persName><affiliation>Epidaure Project, INRIA, Sophia Antipolis, France</affiliation></author><author xml:id="author-7"><persName><forename type="first">D.</forename><surname>Tandé</surname></persName><affiliation>Salpêtrière Hospital, INSERM U289, France</affiliation></author><author xml:id="author-8"><persName><forename type="first">K.</forename><surname>Parain</surname></persName><affiliation>Salpêtrière Hospital, INSERM U289, France</affiliation></author><author xml:id="author-9"><persName><forename type="first">J.</forename><surname>Yelnik</surname></persName><affiliation>Salpêtrière Hospital, INSERM U289, France</affiliation></author></analytic><monogr><title level="m">Medical Image Computing and Computer-Assisted Intervention – MICCAI 2001</title><title level="m" type="sub">4th International Conference Utrecht, The Netherlands, October 14–17, 2001 Proceedings</title><idno type="pISBN">978-3-540-42697-4</idno><idno type="eISBN">978-3-540-45468-7</idno><idno type="pISSN">0302-9743</idno><idno type="DOI">10.1007/3-540-45468-3</idno><idno type="book-ID">3-540-45468-3</idno><idno type="book-title-ID">69498</idno><idno type="book-sequence-number">2208</idno><idno type="book-volume-number">2208</idno><idno type="book-chapter-count">258</idno><editor><persName><forename type="first">Wiro</forename><forename type="first">J.</forename><surname>Niessen</surname></persName><email>wiro@isi.uu.nl</email><affiliation>Image Sciences Institute, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands</affiliation></editor><editor><persName><forename type="first">Max</forename><forename type="first">A.</forename><surname>Viergever</surname></persName><email>max@isi.uu.nl</email><affiliation>Image Sciences Institute, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands</affiliation></editor><imprint><publisher>Springer Berlin Heidelberg</publisher><pubPlace>Berlin, Heidelberg</pubPlace><date type="published" when="2001-10-05"></date><biblScope unit="volume">2208</biblScope><biblScope unit="page" from="743">743</biblScope><biblScope unit="page" to="751">751</biblScope></imprint></monogr><series><title level="s">Lecture Notes in Computer Science</title><editor><persName><forename type="first">Gerhard</forename><surname>Goos</surname></persName><affiliation>Karlsruhe University, Germany</affiliation></editor><editor><persName><forename type="first">Juris</forename><surname>Hartmanis</surname></persName><affiliation>Cornell University, NY, USA</affiliation></editor><editor><persName><forename type="first">Jan</forename><surname>van Leeuwen</surname></persName><affiliation>Utrecht University, The Netherlands</affiliation></editor><biblScope><date>2001</date></biblScope><idno type="pISSN">0302-9743</idno><idno type="series-Id">558</idno></series><idno type="istex">5ECD9381E61DE26EECCD151ECFB3D80658B0E687</idno><idno type="DOI">10.1007/3-540-45468-3_89</idno><idno type="ChapterID">89</idno><idno type="ChapterID">Chap89</idno></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>2001</date></creation><langUsage><language ident="en">en</language></langUsage><abstract xml:lang="en"><p>Abstract: In neurosurgery, localisation of deep brain structures is a crucial issue, which can be assisted by a 3-dimensional brain atlases. Our goal is to build such an atlas by fusing histological data with a 3D MR image of the same subject. This requires two steps: first a 2D realignment of the histological sections in order to obtain a three-dimensional block, then a 3D registration between this reconstructed block and the MR image. 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2001</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff5"><AuthorName DisplayOrder="Western"><GivenName>S.</GivenName><FamilyName>Ourselin</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff5"><AuthorName DisplayOrder="Western"><GivenName>E.</GivenName><FamilyName>Bardinet</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff7"><AuthorName DisplayOrder="Western"><GivenName>D.</GivenName><FamilyName>Dormont</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff5"><AuthorName DisplayOrder="Western"><GivenName>G.</GivenName><FamilyName>Malandain</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff5"><AuthorName DisplayOrder="Western"><GivenName>A.</GivenName><FamilyName>Roche</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff5"><AuthorName DisplayOrder="Western"><GivenName>N.</GivenName><FamilyName>Ayache</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff6"><AuthorName 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Language="En"><Heading>Abstract</Heading><Para>In neurosurgery, localisation of deep brain structures is a crucial issue, which can be assisted by a 3-dimensional brain atlases. 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