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A probabilistic template model for finding macromolecules in MET volume images
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
2013 (English)In: Pattern Recognition and Image Analysis, Springer Berlin/Heidelberg, 2013, p. 855-862Conference paper, Poster (with or without abstract) (Refereed)
Abstract [en]

We introduce and investigate probabilistic templates with particular focus on the application of protein identification in electron tomography volumes. We suggest to create templates with a weighted averaging operation of several object instances after alignment of an identified subpart. The subpart to be aligned should, ideally, correspond to a rigid and easily identifiable part of the object. The proposed templates enable common rigid template matching methods to also find different shape variations without increasing time complexity in the actual search procedure, since a static template is still used. We present general ideas on how to perform the object instance alignment and look specifically at how to do it for the antibody macromolecule IgG.

Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2013. p. 855-862
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 7887
National Category
Medical Image Processing
Research subject
Computerized Image Analysis
Identifiers
URN: urn:nbn:se:uu:diva-209645DOI: 10.1007/978-3-642-38628-2_101ISBN: 978-3-642-38627-5 (print)OAI: oai:DiVA.org:uu-209645DiVA, id: diva2:658827
Conference
IbPRIA 2013, June 5-7, Funchal, Madeira, Portugal
Available from: 2013-10-23 Created: 2013-10-23 Last updated: 2013-10-30Bibliographically approved

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ptemplates_ibpria2013.pdf(293 kB)489 downloads
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Svensson, LennartSintorn, Ida-Maria

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