Non-rigid multimodal image registration using mutual information
Identifieur interne : 000F43 ( Istex/Corpus ); précédent : 000F42; suivant : 000F44Non-rigid multimodal image registration using mutual information
Auteurs : Tom Gaens ; Frederik Maes ; Dirk Vandermeulen ; Paul SuetensSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 1998.
Abstract
Abstract: A fully automated voxel-based algorithm for multimodal non-rigid image registration using a mutual information based similarity criterion is presented. The image deformation vector field is found by dividing images into overlapping neighborhood regions and translating these regions to locally increase the similarity criterion. The calculated displacement in each region is assigned to the centered pixel of each neighborhood region and propagated to its neighbors with a Gaussian window function assuring continuity and smoothness of the deformation field. Initial experiments on 2D test data qualitatively demonstrate the feasibility of this approach.
Url:
DOI: 10.1007/BFb0056299
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The image deformation vector field is found by dividing images into overlapping neighborhood regions and translating these regions to locally increase the similarity criterion. The calculated displacement in each region is assigned to the centered pixel of each neighborhood region and propagated to its neighbors with a Gaussian window function assuring continuity and smoothness of the deformation field. Initial experiments on 2D test data qualitatively demonstrate the feasibility of this approach.</div></front></TEI><istex><corpusName>springer</corpusName><author><json:item><name>Tom Gaens</name><affiliations><json:string>Laboratory for Medical Imaging Computing, ESAT/Radiology, Univ. Hosp. 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The image deformation vector field is found by dividing images into overlapping neighborhood regions and translating these regions to locally increase the similarity criterion. The calculated displacement in each region is assigned to the centered pixel of each neighborhood region and propagated to its neighbors with a Gaussian window function assuring continuity and smoothness of the deformation field. Initial experiments on 2D test data qualitatively demonstrate the feasibility of this approach.</abstract><relatedItem type="host"><titleInfo><title>Medical Image Computing and Computer-Assisted Interventation — MICCAI’98</title><subTitle>First International Conference Cambridge, MA, USA, October 11–13, 1998 Proceedings</subTitle></titleInfo><name type="personal"><namePart type="given">William</namePart><namePart type="given">M.</namePart><namePart type="family">Wells</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Alan</namePart><namePart type="family">Colchester</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Scott</namePart><namePart type="family">Delp</namePart><role><roleTerm type="text">editor</roleTerm></role></name><genre type="Book Series" displayLabel="Proceedings"></genre><originInfo><copyrightDate encoding="w3cdtf">1998</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="I2203X">Pattern Recognition</topic><topic authority="SpringerSubjectCodes" authorityURI="T2700X">Biomedical Engineering</topic><topic authority="SpringerSubjectCodes" authorityURI="I21017">Artificial Intelligence (incl. Robotics)</topic><topic authority="SpringerSubjectCodes" authorityURI="H33061">Gastroenterology</topic></subject><identifier type="DOI">10.1007/BFb0056181</identifier><identifier type="ISBN">978-3-540-65136-9</identifier><identifier type="eISBN">978-3-540-49563-5</identifier><identifier type="ISSN">0302-9743</identifier><identifier type="eISSN">1611-3349</identifier><identifier type="BookTitleID">55440</identifier><identifier type="BookID">3-540-65136-5</identifier><identifier type="BookChapterCount">133</identifier><identifier type="BookVolumeNumber">1496</identifier><part><date>1998</date><detail type="volume"><number>1496</number><caption>vol.</caption></detail><extent unit="pages"><start>1099</start><end>1106</end></extent></part><recordInfo><recordOrigin>Springer-Verlag, 1998</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><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Juris</namePart><namePart type="family">Hartmanis</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Jan</namePart><namePart type="family">van Leeuwen</namePart><role><roleTerm type="text">editor</roleTerm></role></name><originInfo><copyrightDate encoding="w3cdtf">1998</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, 1998</recordOrigin></recordInfo></relatedItem><identifier type="istex">4E4ACD6ED41E80CA0EFF9A5A9CAD360BC43C3AC5</identifier><identifier type="DOI">10.1007/BFb0056299</identifier><identifier type="ChapterID">118</identifier><identifier type="ChapterID">Chap118</identifier><accessCondition type="use and reproduction" contentType="copyright">Springer-Verlag, 1998</accessCondition><recordInfo><recordContentSource>SPRINGER</recordContentSource><recordOrigin>Springer-Verlag, 1998</recordOrigin></recordInfo></mods></metadata></istex></record>Pour manipuler ce document sous Unix (Dilib)
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