Selective search and sequential detection for standard plane localization in ultrasound
文献类型：会议论文
| 作者 | Ni Dong; Li Tianmei; Yang Xin; Qin Jing; Li Shengli; Chin Chien-Ting; Ouyang Shuyuan; Wang Tianfu; Chen Siping |
| 出版日期 | 2013 |
| 会议名称 | 5th International Workshop on Abdominal Imaging: Computation and Clinical Applications, Held in Conjunction with 16th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013 |
| 会议地点 | Nagoya, Japan |
| 英文摘要 | We present the first automatic solution for localizing fetal abdominal standard plane (FASP) in consecutive 2D ultrasound images. FASP is located in the presence of three key anatomies detected by learning based algorithms, including stomach bubble (SB), umbilical vein (UV), and spine (SP). Traditional detection methods exhaustively scanning the entire image with sliding window algorithms tend not to perform well, since large numbers of regions appear similar to key anatomies. We propose a novel approach by applying local detectors sequentially on the preselected locations of SB, SP and UV. Specifically, we employ segmentation to generate probable locations for SB detection while exploiting a novel accumulative vessel probability algorithm to produce probable locations for SP and UV detection. The sequential scheme automatically excludes detected regions in former steps for subsequent detection, and further limits the search range according to the geometric relationship among anatomies. Experimental results on 100 fetal abdomen videos show that our method significantly outperforms traditional methods that only use local detector. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/4562]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | 2013 |
| 推荐引用方式 GB/T 7714 | Ni Dong,Li Tianmei,Yang Xin,et al. Selective search and sequential detection for standard plane localization in ultrasound[C]. 见:5th International Workshop on Abdominal Imaging: Computation and Clinical Applications, Held in Conjunction with 16th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013. Nagoya, Japan. |
入库方式： OAI收割
来源：深圳先进技术研究院
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。