Using X-Ray Imaging Model To Improve Guidewire Detection
Guidewire segmentation is the first step in producing automated tracking system to aid the surgeon during interventions. Most of the currently proposed methods for guidewire detection do not take into account X-ray imaging model and thus perform sub-optimally. We describe a simple imaging model and show how line detection technique based on the eigneanalysis of the Hessian matrix can be adapted to the model. Such adaptation improves detection results and allows application for a wider range of input images. Furthermore, we show how to choose an optimal set of parameters for the detection thus making the method fully automated.
guidewire detection multiplicative imaging x-ray imaging
Tomislav Petkovic Sven Loncaric
University Of Zagreb, Faculty of Electrical Engineering and computing, Unska 3, Zagreb, Croatia
国际会议
2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)
北京
英文
805-808
2010-08-24(万方平台首次上网日期,不代表论文的发表时间)