IRMA: An Image Registration Meta-algorithm
Identifieur interne : 000874 ( Main/Corpus ); précédent : 000873; suivant : 000875IRMA: An Image Registration Meta-algorithm
Auteurs : T. Leung ; Stott Parker ; Alexandre Cunha ; Cornelius Hojatkashani ; Ivo Dinov ; W. TogaSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2008.
Abstract
Abstract: IRMA is a meta-algorithm for image registration (image alignment), evaluating results under multiple metrics using the LONI Pipeline workflow infrastructure, on the LONI/CCB grid computing facility. IRMA manages these results in a model base implemented with PostgreSQL. It permits scientists to catalog the results such as provenance information, and permits subsequent mining — exploring the space of alternatives in an organized fashion and building understanding about individual algorithms, and learn about strengths and weaknesses of algorithms over time.
Url:
DOI: 10.1007/978-3-540-69497-7_46
Links to Exploration step
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<ChapterTitle Language="En">IRMA: An Image Registration Meta-algorithm</ChapterTitle>
<ChapterSubTitle Language="En">Evaluating Alternative Algorithms with Multiple Metrics</ChapterSubTitle>
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<Postcode>CA 90095-1596</Postcode>
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<Affiliation ID="Aff2"><OrgName>UCLA Center for Computational Biology (CCB)</OrgName>
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<Postcode>CA 90095-1569</Postcode>
<Country> </Country>
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<OrgAddress><City>Pasadena</City>
<Postcode>CA 91125</Postcode>
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<Postcode>CA 90095-1569</Postcode>
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<Para>IRMA is a <Emphasis Type="Italic">meta-algorithm</Emphasis>
for image registration (image alignment), evaluating results under multiple metrics using the LONI Pipeline workflow infrastructure, on the LONI/CCB grid computing facility. IRMA manages these results in a model base implemented with PostgreSQL. It permits scientists to catalog the results such as provenance information, and permits subsequent mining — exploring the space of alternatives in an organized fashion and building understanding about individual algorithms, and learn about strengths and weaknesses of algorithms over time.</Para>
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<ArticleNote Type="Misc"><SimplePara>This work supported by NIH grant 1U54RR021813 and the Center for Computational Biology, an NIH National Center of Biomedical Computing.</SimplePara>
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<abstract lang="en">Abstract: IRMA is a meta-algorithm for image registration (image alignment), evaluating results under multiple metrics using the LONI Pipeline workflow infrastructure, on the LONI/CCB grid computing facility. IRMA manages these results in a model base implemented with PostgreSQL. It permits scientists to catalog the results such as provenance information, and permits subsequent mining — exploring the space of alternatives in an organized fashion and building understanding about individual algorithms, and learn about strengths and weaknesses of algorithms over time.</abstract>
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