Masson N, Nageotte Fl, Zanne Ph, de Mathelin M, Marescaux J
LSIIT, Centre National de le Recherche Scientifique/UMR 7005, Strasbourg University, France.
Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:5571-6. doi: 10.1109/IEMBS.2009.5333484.
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.
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。