Zenteno Omar, VanTrung Pham, Treuillet Sylvie, Lucas Yves
Annu Int Conf IEEE Eng Med Biol Soc. 2019 Jul;2019:4419-4422. doi: 10.1109/EMBC.2019.8857703.
This paper presents a landmark-free approach to estimate the fiberscope pose during endoscopic exploration for in-vivo optical biopsy. The fiberscope pose is estimated by fitting the projection of a virtual 3D cylinder into the endoscopic images. The cylinder axis is estimated based on the apparent contours using Plücker coordinates and its insertion is estimated by maximizing the similarity between binary masks. The performance of the method is evaluated on simulations: the mean Euclidian distance of fiberscopic tip between estimated pose and ground truth is 0.158 ± 0.113 mm. The in-vivo performance is assessed in two endoscopic sequences by comparing automatic RCF and manual segmentations in terms of angular deviation of the axis and Euclidian distance between the tip location. The estimation of the relative position of both cameras allows to perform registration between the two image modalities.
本文提出了一种无标记方法,用于在体内光学活检的内镜探查过程中估计纤维内镜的位姿。通过将虚拟3D圆柱体的投影拟合到内镜图像中来估计纤维内镜的位姿。基于使用普吕克坐标的表观轮廓估计圆柱体轴,并通过最大化二值掩码之间的相似度来估计其插入位置。在模拟中评估了该方法的性能:估计位姿与真实值之间纤维内镜尖端的平均欧几里得距离为0.158±0.113毫米。通过比较自动随机森林分类(RCF)和手动分割在轴的角度偏差和尖端位置之间的欧几里得距离方面,在两个内镜序列中评估了体内性能。对两个相机相对位置的估计允许在两种图像模态之间进行配准。