AI Article Synopsis
- The study focuses on creating a statistical shape model (SSM) for the second cervical vertebra (C2), which aims to enhance the efficiency of segmentation processes and the development of 3D models.
- The SSM was developed using 92 CT scans, with methodologies including procrustes alignment and Gaussian process for registration, along with principal component analysis to account for variability.
- This model is now publicly accessible through Slicer software, providing valuable resources for the scientific community and potentially improving surgical planning through semi-automatic segmentation and 3D modeling.
Article Abstract
Purpose: Statistical shape and appearance models play an important role in reducing the segmentation processing time of a vertebra and in improving results for 3D model development. Here, we describe the different steps in generating a statistical 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 model is 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 and generalization ability. The SSM of the C2 is freely available to the scientific community in Slicer (an open source software 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 will enable semi-automatic segmentation and 3D model generation of the vertebra, which would greatly benefit surgery planning.
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| http://dx.doi.org/10.1007/s11548-014-1121-x | DOI Listing |
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