| Adaptive Shape Prior Constrained Level Sets for Bladder MR Image Segmentation | |
Qin, Xianjing1; Li, Xuelong2 ; Liu, Yang3; Lu, Hongbing3; Yan, Pingkun1
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| 作者部门 | 光学影像学习与分析中心 |
| 2014-09-01 | |
| 发表期刊 | IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
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| ISSN | 2168-2194 |
| 卷号 | 18期号:5页码:1707-1716 |
| 产权排序 | 1 |
| 摘要 | Three-dimensional bladder wall segmentation for thickness measuring can be very useful for bladder magnetic resonance (MR) image analysis, since thickening of the bladder wall can indicate abnormality. However, it is a challenging task due to the artifacts inside bladder lumen, weak boundaries in the apex and base areas, and complicated outside intensity distributions. To deal with these difficulties, in this paper, an adaptive shape prior constrained directional level set model is proposed to segment the inner and outer boundaries of the bladder wall. In addition, a coupled directional level set model is presented to refine the segmentation by exploiting the prior knowledge of region information and minimum thickness. With our proposed method, the influence of the artifacts in the bladder lumen and the complicated outside tissues surrounding the bladder can be appreciably reduced. Furthermore, the leakage on the weak boundaries can be avoided. Compared with other related methods, better results were obtained on 11 patients' 3-D bladder MR images by using the proposed method. |
| 文章类型 | Article |
| 关键词 | Adaptive Shape Prior (Asp) Coupled Level Sets Directional Gradient Segmentation |
| WOS标题词 | Science & Technology ; Technology ; Life Sciences & Biomedicine |
| DOI | 10.1109/JBHI.2013.2288935 |
| 收录类别 | SCI ; EI |
| 关键词[WOS] | ACTIVE CONTOURS ; EVOLUTION ; WALL ; CT |
| 语种 | 英语 |
| WOS研究方向 | Computer Science ; Mathematical & Computational Biology ; Medical Informatics |
| WOS类目 | Computer Science, Information Systems ; Computer Science, Interdisciplinary Applications ; Mathematical & Computational Biology ; Medical Informatics |
| WOS记录号 | WOS:000341986600021 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.opt.ac.cn/handle/181661/22350 |
| 专题 | 光谱成像技术研究室 |
| 作者单位 | 1.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian 710119, Peoples R China 2.Chinese Acad Sci, Ctr Opt Imagery Anal & Learning, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Xian 710119, Peoples R China 3.Fourth Mil Med Univ, Dept Biomed Engn Comp Applicat, Xian 710032, Peoples R China |
| 推荐引用方式 GB/T 7714 | Qin, Xianjing,Li, Xuelong,Liu, Yang,et al. Adaptive Shape Prior Constrained Level Sets for Bladder MR Image Segmentation[J]. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS,2014,18(5):1707-1716. |
| APA | Qin, Xianjing,Li, Xuelong,Liu, Yang,Lu, Hongbing,&Yan, Pingkun.(2014).Adaptive Shape Prior Constrained Level Sets for Bladder MR Image Segmentation.IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS,18(5),1707-1716. |
| MLA | Qin, Xianjing,et al."Adaptive Shape Prior Constrained Level Sets for Bladder MR Image Segmentation".IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS 18.5(2014):1707-1716. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| Adaptive Shape Prior（1832KB） | 期刊论文 | 出版稿 | 限制开放 | CC BY | 请求全文 | |
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