Needle Segmentation Using 3D Quick Randomized Hough Transform

摘要：

A quick 3D needle segmentation algorithm for 3D US data is described in this paper.The algorithm includes the 3D Quick Randomized Hough Transform(3DGHT),which is based on the 3D Randomized Hough Transform and coarse-.ne searching strategy.We tested it with water phantom.The results show that our algorithm works well in 3D US images with angular deviation less than 1.and position deviation less than 1mm,and the computational time of segmentation with 35MB data is within 1s.

作者: Wu Qiu Mingyue Ding Ming Yuchi

作者单位: Institute for Pattern Recognition and Artificial Intelligence Image Processing and Intelligence Con Department of Biomedical Engineering,School of Life Science and Technology Huazhong University of Sc

会议类型: 国际会议

会议名称: 第一届智能网络与智能系统国际会议(ICINIS 2008)(The First International Conference on Intelligent Networks and Intelligent Systems)

会议地点: 武汉

会议语种:英文

在线出版日期: 2008-11-01（万方平台首次上网日期，不代表论文的发表时间）