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.
This work supported by NIH grant 1U54RR021813 and the Center for Computational Biology, an NIH National Center of Biomedical Computing.
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© 2008 Springer-Verlag Berlin Heidelberg
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Leung, K.T., Parker, D.S., Cunha, A., Hojatkashani, C., Dinov, I., Toga, A.W. (2008). IRMA: An Image Registration Meta-algorithm. In: Ludäscher, B., Mamoulis, N. (eds) Scientific and Statistical Database Management. SSDBM 2008. Lecture Notes in Computer Science, vol 5069. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69497-7_46
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DOI: https://doi.org/10.1007/978-3-540-69497-7_46
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69476-2
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