A Framework of Vertebra Segmentation Using the Active Shape Model-Based Approach
| Autor: | Mohammed Benjelloun, Saïd Mahmoudi, Fabian Lecron |
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| Jazyk: | angličtina |
| Rok vydání: | 2011 |
| Předmět: | |
| Zdroj: | International Journal of Biomedical Imaging, Vol 2011 (2011) |
| Druh dokumentu: | article |
| ISSN: | 1687-4188 1687-4196 02412896 |
| DOI: | 10.1155/2011/621905 |
| Popis: | We propose a medical image segmentation approach based on the Active Shape Model theory. We apply this method for cervical vertebra detection. The main advantage of this approach is the application of a statistical model created after a training stage. Thus, the knowledge and interaction of the domain expert intervene in this approach. Our application allows the use of two different models, that is, a global one (with several vertebrae) and a local one (with a single vertebra). Two modes of segmentation are also proposed: manual and semiautomatic. For the manual mode, only two points are selected by the user on a given image. The first point needs to be close to the lower anterior corner of the last vertebra and the second near the upper anterior corner of the first vertebra. These two points are required to initialize the segmentation process. We propose to use the Harris corner detector combined with three successive filters to carry out the semiautomatic process. The results obtained on a large set of X-ray images are very promising. |
| Databáze: | Directory of Open Access Journals |
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