A new geometric deformable model for medical image segmentation
文献类型：期刊论文
| 作者 | Lu Ke1; He Ning2; Xue Jian1 |
| 刊名 | Chinese journal of electronics
 |
| 出版日期 | 2009-04-01 |
| 卷号 | 18期号:2页码:200-204 |
| 关键词 | Image segmentation Constraint Zero level sets Deformable model |
| ISSN号 | 1022-4653 |
| 通讯作者 | Lu ke() |
| 英文摘要 | Segmentation of medical images is challenging due to poor image contrast and artifacts that result in missing or diffuse organ or tissue boundaries. in this paper, we proposed a modification to the original level set algorithm for implementation of deformable models. the modification is derived from intensity averaging of the image. this new method helps to segment medical images accurately into multi-level images. the level set algorithm has some advantages over the classical snake deformable models but it has difficulties with large gaps in the boundaries of segmented regions. such boundary gaps may cause inaccurate segmentation that requires manual correction by users, while our goal was to keep user assistance to a minimum. the proposed method possesses an inherent property to detect gaps within the object with a single initial contour and also does not require specific initialization. |
| WOS关键词 | ALGORITHMS |
| WOS研究方向 | Engineering |
| WOS类目 | Engineering, Electrical & Electronic |
| 语种 | 英语 |
| WOS记录号 | WOS:000265275800002 |
| 出版者 | TECHNOLOGY EXCHANGE LIMITED HONG KONG |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2397283 |
| 专题 | 中国科学院大学 |
| 通讯作者 | Lu Ke |
| 作者单位 | 1.Chinese Acad Sci, Grad Univ, Coll Comp & Commun Engn, Beijing 100049, Peoples R China 2.Capital Normal Univ, Sch Math Sci, Beijing 100037, Peoples R China |
| 推荐引用方式 GB/T 7714 | Lu Ke,He Ning,Xue Jian. A new geometric deformable model for medical image segmentation[J]. Chinese journal of electronics,2009,18(2):200-204. |
| APA | Lu Ke,He Ning,&Xue Jian.(2009).A new geometric deformable model for medical image segmentation.Chinese journal of electronics,18(2),200-204. |
| MLA | Lu Ke,et al."A new geometric deformable model for medical image segmentation".Chinese journal of electronics 18.2(2009):200-204. |
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来源：中国科学院大学
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