A statistical shape model of the human second cervical vertebra

Clogenson, Marine and Duff, John M. and Luethi, Marcel and Levivier, Marc and Meuli, Reto and Baur, Charles and Henein, Simon. (2014) A statistical shape model of the human second cervical vertebra. International journal of computer assisted radiology and surgery, 30.10.2014, 11 S..

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Official URL: http://edoc.unibas.ch/dok/A6328780

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Purpose: Statistical shape and appearance models play an important role in reducing the segmentation processing timeof a vertebra and in improving results for 3D model development. Here, we describe the different steps in generating astatistical shape model (SSM) of the second cervical vertebra (C2) and provide the shape model for general use by the scientific community. The main difficulties in its construction are the morphological complexity of the C2 and its variability in the population. Methods: The input dataset is composed of manually segmented anonymized patient computerized tomography (CT)scans. The alignment of the different datasets is done with the procrustes alignment on surface models, and then, the registration is cast as a model-fitting problem using a Gaussian process. A principal component analysis (PCA)-based modelis generated which includes the variability of the C2. Results: The SSM was generated using 92 CT scans. The resulting SSM was evaluated for specificity, compactness andgeneralization ability. The SSM of the C2 is freely available to the scientific community in Slicer (an open source soft-ware for image analysis and scientific visualization) with a module created to visualize the SSM using Statismo, a framework for statistical shape modeling. Conclusion: The SSM of the vertebra allows the shape variability of the C2 to be represented. Moreover, the SSM willenable semi-automatic segmentation and 3D model generation of the vertebra, which would greatly benefit surgery planning.
Faculties and Departments:05 Faculty of Science > Departement Mathematik und Informatik > Informatik > Computergraphik Bilderkennung (Vetter)
UniBasel Contributors:L├╝thi, Marcel
Item Type:Article, refereed
Article Subtype:Research Article
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:31 Dec 2015 10:56
Deposited On:09 Jan 2015 09:25

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