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Skeletal Approach to Mandible Reconstruction Represented as an Image
Published in Taylor and Francis Inc.
2015
Volume: 12
   
Issue: 5
Pages: 639 - 650
Abstract
ABSTRACT: Mandible or facial bone reconstruction is a serious challenge in craniomaxillofacial surgery. Considering the complex shape and structure of the mandible, careful presurgical planning or availability of objective methods to analyse the patient mandible is necessary to achieve predictable outcomes. It has become evident that methods that can retrieve back the exact shape and structure of the mandibular defect across any anatomical location of the mandible are required. Skeletons, a dimensionally reduced version of the shape, are an important descriptor capable of capturing the most relevant features. In this paper, a technique to retrieve the shape of the mandible from its skeleton properties, by comparing it to the skeleton of a mandible with no defects, also called template mandible has been addressed. It is also employed to correct the mandibular structure for the type of discontinuity in it, to obtain a reconstructed mandible. This will enable to look at how the defect or the discontinuity in the structure will appear after reconstruction in the presurgical phase. Moreover, this kind of analysis will provide a good basis for planning the reconstruction technique to be used clinically. Width calculation for structural shape like mandible has also been implemented. Imaging a mandible with segmental defect and performing its reconstruction validate the results. In this work, an image of the mandible is used as a template mandible. © 2015 CAD Solutions, LLC.
About the journal
JournalData powered by TypesetComputer-Aided Design and Applications
PublisherData powered by TypesetTaylor and Francis Inc.
ISSN16864360
Open AccessYes
Concepts (12)
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    Defects
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    Image reconstruction
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    Musculoskeletal system
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    ANATOMICAL LOCATIONS
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    CRANIO-MAXILLOFACIAL SURGERY
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    OBJECTIVE METHODS
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    PRESURGICAL PLANNING
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    RECONSTRUCTION TECHNIQUES
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    RELEVANT FEATURES
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    SHAPE RETRIEVAL
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    Skeleton
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    Image processing