| New method for 3D reconstruction of the human cranial vault from CT-scan data. | |
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MedLine Citation:
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PMID: 21764623 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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This study presents a new method for the 3D reconstruction of the human cranial vault from routine Computed Tomography (CT) data. The reconstruction method was based on the conceptualization of the shape of the cranial vault with a parametric description. An initialization was first realized with the identification of anatomical landmarks and contours on Digitally Reconstructed Radiographs (DRR) in order to obtain a pre-personalized reconstruction. Then an optimization of the reconstruction was performed to segment the internal and external surfaces of the cranial vault for thickness computation. The method was validated by comparing final reconstructions issued from our approach and from a manual slice-by-slice segmentation method on ten CT-scans. Errors were comparable to the CT image resolution, and less than 2min were dedicated to the operatordependant marking step. The reconstruction of internal and external surfaces of the cranial vault allows quantifying and visualizing of thickness throughout the cranial vault. This thickness mapping is useful for clinical purposes as additional pre-surgical information. Moreover, this study constitutes a first step in the personalized characterization of skull resistance directly from routine exams. |
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Authors:
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Cédric P Laurent; Erwan Jolivet; Jerome Hodel; Philippe Decq; Wafa Skalli |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-7-14 |
Journal Detail:
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Title: Medical engineering & physics Volume: - ISSN: 1873-4030 ISO Abbreviation: - Publication Date: 2011 Jul |
Date Detail:
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Created Date: 2011-7-18 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9422753 Medline TA: Med Eng Phys Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Copyright Information:
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Copyright © 2011 IPEM. Published by Elsevier Ltd. All rights reserved. |
Affiliation:
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Arts et Métiers Paristech, CNRS, LBM, 151 boulevard de l'hôpital 75013, France. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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