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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Taheri, S. Sim Heng Ong Chong, V. |
| Copyright Year | 2007 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., National Univ. of Singapore (Taheri, S.; Sim Heng Ong) |
| Abstract | Three-dimensional segmentation is reliable approach to achieve a proper estimation of tumor volume. Among all possible methods for this purpose, level set can be used as a powerful tool which implicitly extracts the tumor surface. In this paper, we introduce a threshold-based algorithm for 3D tumor segmentation using level set (TSL). This algorithm uses a global threshold to form the level set speed function which is updated iteratively throughout the level set growing process. An important feature of TSL is that no explicit knowledge about the tumor and non-tumor density functions is required. The proposed method can be implemented in the automatic and semi-automatic forms depending on the complexity of the tumor shape. TSL is examined on several clinical MRIs for both visual and quantitative evaluation. Experimental results demonstrate the effectiveness of our approach |
| Starting Page | 45 |
| Ending Page | 45 |
| File Size | 2729339 |
| Page Count | 1 |
| File Format | |
| ISBN | 0769527949 |
| ISSN | 15505790 |
| DOI | 10.1109/WACV.2007.59 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-02-21 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Neoplasms Level set Iterative algorithms Density functional theory Shape Magnetic resonance imaging Image segmentation Iterative methods Radiology Medical treatment |
| Content Type | Text |
| Resource Type | Article |
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