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| Automated Vertebrae Extraction Using Watershed Segmentation and Tree-based Modelling Approach |
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Abstract Vertebra segmentation and extraction are essential steps for
automated vertebrae fracture assessment system. This study focuses
on vertebra segmentation, which is a challenging task due to high
noise and poor contrast of X-Ray images. The objective of this
study is to develop and test an automated cervical vertebrae
extraction to facilitate the medical researchers and physicians.
The novelty of the proposed method is the combination of watershed
segmentation and tree-based modelling algorithm. The proposed method
has been successfully applied to a set of 50 cervical X-Ray images.
Five performance metrics are calculated, which are accuracy,
sensitivity, specificity, correlation and error where the best
obtained results are 0.9886, 0.0655, 0.99, 0.7246 and 0.01135,
respectively.
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| Cite this article: |
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Ili Ayuni Mohd Ikhsan,Aini Hussain,Mohd Asyraf Zulkifley, et al. Automated Vertebrae Extraction Using Watershed Segmentation and Tree-based Modelling Approach[J]. Journal of Fiber Bioengineering and Informatics, 2015, 8(3): 547-555.
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2015, Vol. 8 
