| Group-wise registration of point sets for statistical shape models. | |
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MedLine Citation:
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PMID: 22692899 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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This paper presents a novel, fast, group-wise registration technique based on establishing soft correspondences between groups of point sets. The registration approach is used to create a statistical shape model, capable of learning the shape variations within a training set. The shape model consists of a mean shape and its transformations to all training shapes. We decouple the procedure into two steps: updating the mean shape and registering it to the training shapes. The algorithm alternates between these two steps until convergence. Following the generation of the statistical shape model, we use the soft correspondence approach to register the model to a new observation. We perform extensive experiments on two data sets: lumbar spine and hippocampi. We compare our algorithm to available stateof- the-art group-wise registration algorithms including featurebased and volume-based approaches. We demonstrate improved generalization, specificity and compactness compared to these algorithms. |
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Authors:
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A Rasoulian; R Rohling; P Abolmaesumi |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2012-6-05 |
Journal Detail:
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Title: IEEE transactions on medical imaging Volume: - ISSN: 1558-254X ISO Abbreviation: IEEE Trans Med Imaging Publication Date: 2012 Jun |
Date Detail:
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Created Date: 2012-6-13 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 8310780 Medline TA: IEEE Trans Med Imaging Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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