Suppr超能文献

用于机器人辅助柔性内窥镜手术的体内序列视觉跟踪算法比较

Comparison of visual tracking algorithms on in vivo sequences for robot-assisted flexible endoscopic surgery.

作者信息

Masson N, Nageotte Fl, Zanne Ph, de Mathelin M, Marescaux J

机构信息

LSIIT, Centre National de le Recherche Scientifique/UMR 7005, Strasbourg University, France.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:5571-6. doi: 10.1109/IEMBS.2009.5333484.

Abstract

Flexible endoscopes are used in many diagnostic and interventional procedures. Physiological motions may render the physician's task very difficult to perform. Assistance could be achieved by using motorized endoscopes and real-time visual tracking algorithm to automatically follow a selected target. In order to control the motors, one needs to have an accurate estimation of the motion of the target in the endoscopic view, which requires an efficient tracking algorithm. In this paper, we compare tracking algorithms on various in vivo targets in order to assess their behavior under different conditions. The study shows that among the difficulties which arise when tracking an in vivo target, the change of illumination is paramount. Nevertheless, some algorithms, with minor modifications and without a priori knowledge about the target, achieve very good results.

摘要

柔性内窥镜被用于许多诊断和介入手术中。生理运动可能会使医生的操作任务变得非常困难。可以通过使用电动内窥镜和实时视觉跟踪算法来自动跟踪选定目标来提供辅助。为了控制电机,需要对内窥镜视野中目标的运动进行准确估计,这需要一种高效的跟踪算法。在本文中,我们比较了各种体内目标上的跟踪算法,以评估它们在不同条件下的表现。研究表明,在跟踪体内目标时出现的各种困难中,光照变化是最为重要的。然而,一些算法只需进行微小修改且无需关于目标的先验知识就能取得非常好的效果。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验