Liver tumor volume estimation
In this study, two new methods to extract the liver tumor regions are developed. The first method involves a combination of thresholding, morphological operations and Fuzzy c-Means clustering techniques. Results show that tumor lesions, except the ones close to the liver brink, can be effectively ex...
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| Format: | Theses and Dissertations |
| Published: |
2008
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| Online Access: | https://hdl.handle.net/10356/4837 |
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| Institution: | Nanyang Technological University |
| Summary: | In this study, two new methods to extract the liver tumor regions are developed. The first method involves a combination of thresholding, morphological operations and Fuzzy c-Means clustering techniques. Results show that tumor lesions, except the ones close to the liver brink, can be effectively extracted from the CT images. The second method uses an active contour model to detect the boundaries of the tumors. In this method, the tumor region is extracted based on the minimization of an energy function and it yields a good description of the tumor boundary, while the initial contour has to be indicated by an operator manually. |
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