Automatic Liver Segmentation Based on Shape Constrained Differeomorphic Demons Atlas Registration
文献类型：会议论文
| 作者 | Cheng Huang; Fucang Jia; Yuan Li; Xiaodong Zhang; Huoling Luo; Chihua Fang; Yingfang Fan |
| 出版日期 | 2012 |
| 会议名称 | ICECC '12 Proceedings of the 2012 International Conference on Electronics, Communications and Control |
| 英文摘要 | Liver segmentation from abdominal Computer Tomography (CT) images plays an important role in liver disease diagnosis as well as liver surgical planning. In this paper, a hybrid approach is proposed for fully automatic liver position search and liver segmentation in CT images. First liver intensity range is detected based on prior knowledge of liver volume. Then region of interest (ROI) is extracted using atlas-based affine and non-rigid registration. At the last step, to achieve more accurate segmentation, major liver tumors are detected using gray level and distance prior knowledge, and then a modified diffeomorphic demons registration with shape constrain is applied. Thirty CT image datasets are tested, and the effectiveness is evaluated using volume mean overlay coefficient (Dice) and a comprehensive metric. Results show that our method can be a potential tool in clinical application. |
| 收录类别 | 其他 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/4126]  |
| 专题 | 深圳先进技术研究院_医工所 |
| 作者单位 | 2012 |
| 推荐引用方式 GB/T 7714 | Cheng Huang,Fucang Jia,Yuan Li,et al. Automatic Liver Segmentation Based on Shape Constrained Differeomorphic Demons Atlas Registration[C]. 见:ICECC '12 Proceedings of the 2012 International Conference on Electronics, Communications and Control. |
入库方式： OAI收割
来源：深圳先进技术研究院
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