| A morphology-based approach for interslice interpolation of anatomical slices from volumetric images. | |
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MedLine Citation:
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PMID: 18632365 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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This paper proposes a new morphology-based approach for the interslice interpolation of current transformer (CT) and MRI datasets composed of parallel slices. Our approach is object based and accepts as input data binary slices belonging to the same anatomical structure. Such slices may contain one or more regions, since topological changes between two adjacent slices may occur. Our approach handles explicitly interslice topology changes by decomposing a many-to-many correspondence into three fundamental cases: one-to-one, one-to-many, and zero-to-one correspondences. The proposed interpolation process is iterative. One iteration of this process computes a transition sequence between a pair of corresponding input slices, and selects the element located at equal distance from the input slices. This algorithmic design yields a gradual, smooth change of shape between the input slices. Therefore, the main contribution of our approach is its ability to interpolate between two anatomic shapes by creating a smooth, gradual change of shape, and without generating over-smoothed interpolated shapes. |
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Authors:
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Alexandra Branzan Albu; Trevor Beugeling; Denis Laurendeau |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: IEEE transactions on bio-medical engineering Volume: 55 ISSN: 1558-2531 ISO Abbreviation: IEEE Trans Biomed Eng Publication Date: 2008 Aug |
Date Detail:
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Created Date: 2008-07-17 Completed Date: 2008-08-29 Revised Date: 2009-11-11 |
Medline Journal Info:
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Nlm Unique ID: 0012737 Medline TA: IEEE Trans Biomed Eng Country: United States |
Other Details:
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Languages: eng Pagination: 2022-38 Citation Subset: IM |
Affiliation:
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Department of Electrical and Computer Engineering, University of Victoria, Victoria, BC V8W3P6, Canada. aalbu@ece.uvic.ca |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Algorithms* Anatomy, Cross-Sectional / methods* Artificial Intelligence* Computer Simulation Image Enhancement / methods Image Interpretation, Computer-Assisted / methods* Imaging, Three-Dimensional / methods* Models, Anatomic Pattern Recognition, Automated / methods* Reproducibility of Results Sensitivity and Specificity Subtraction Technique* |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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