%0 Journal Article
%T Needle Segmentation in US Images Based on Real-time Gray-scale Hough Transformation<br>基于实时灰度Hough变换的超声图像针状物体检测
%A QIU Wu
%A DING Ming-yue
%A ZHOU Hua
%A <br>邱武
%A 丁明跃
%A 周华
%J 计算机科学
%D 2009
%I 
%X Real-time needle segmentation and tracking are very important technique in image-guided surgery, biopsy, and therapy.We proposed a needle segmentation technique based on a Real-Time Gray-Scale Hough Transform (RTGHT), which is composed of an improved Gray Hough transformation using phase-grouping algorithm with the coarse-fine searching strategy.Furthermore, the RTGHT technique was evaluated by patient breast biopsy images.Experiments with patient breast biopsy ultrasound (US) image sequences showed that our approach can segment the biopsy needle in real time with the angular rms error of about 1° and the position rms error of about 0.5 mm on an affordable PC com-puter without the help of specially designed hardware.It can be applied in image-guided surgery and therapy.
%K Needle segmentation
%K US image guidance
%K Real-time gray-level Hough transform
%K Coarse-fine search
%K Phase-grouping algorithm<br>针检测
%K 超声图像导引
%K 实时灰度Hough变换
%K 粗-精搜索策略
%K 相位编组法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=57FE1F1C1E96CE9261C6F3612CA0861D&yid=DE12191FBD62783C&vid=933658645952ED9F&iid=708DD6B15D2464E8&sid=1A363081E1FF7014&eid=4E6F5C60B72D9B1C&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=11