3D segmentation of great vessels using active contours and morphological image processing techniques
The scope of this project is to present a semi-automated vessels segmentation algorithm, to describe its usage and results. This will be achieved combining several segmentation algorithms to get proper vessel segmentation and visualization. Consequently, automatic segmentation can significantly red...
| Κύριος συγγραφέας: | |
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| Άλλοι συγγραφείς: | |
| Μορφή: | Thesis |
| Γλώσσα: | English |
| Έκδοση: |
2010
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| Θέματα: | |
| Διαθέσιμο Online: | http://nemertes.lis.upatras.gr/jspui/handle/10889/3073 |
| Περίληψη: | The scope of this project is to present a semi-automated vessels segmentation algorithm, to describe its usage and results. This will be achieved combining several segmentation algorithms to get proper vessel segmentation and visualization. Consequently, automatic
segmentation can significantly reduce the scan-to-diagnosis time, thus helping the
clinicians to reach the fundamental goal of efficient patient management.
In order to complete our project, we can identify different phases:
- Correct reading of CT and MR images and extraction of data needed for
the post-processing.
- Processing of these images using the most appropriate segmentation
techniques to get the desired contour.
- Visualization of the contour. |
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