Hassouna M Sabry, Farag A A, Falk Robert
Computer Vision & Image Processing Laboratory, University of Louisville, Louisville, Kentucky, 40292, USA.
Med Image Comput Comput Assist Interv. 2006;9(Pt 1):381-8. doi: 10.1007/11866565_47.
In this paper, we propose a new visualization technique for virtual colonoscopy (VC). The proposed method is called Virtual Fly-Over, which splits the entire colon anatomy into exactly two halves. Then, it assigns a virtual camera to each half to perform fly-over navigation, which has several advantages over both traditional fly-through and related methods. First, by controlling the elevation of the camera, there is no restriction on its field of view (FOV) angle (e.g., >90 degrees) to maximize visualized surface areas, and hence no perspective distortion. Second, the camera viewing volume is perpendicular to each colon half, so potential polyps that are hidden behind haustral folds are easily found. Finally, because the orientation of the splitting surface is controllable, the navigation can be repeated at a different split orientation to overcome the problem of having a polyp that is divided between the two halves of the colon. Quantitative experimental results on 15 clinical datasets have shown that the average surface visibility coverage is 99.59 +/- 0.2%.
在本文中，我们提出了一种用于虚拟结肠镜检查（VC）的新可视化技术。所提出的方法称为虚拟飞越，它将整个结肠解剖结构精确地分成两半。然后，为每一半分配一个虚拟相机以执行飞越导航，这与传统的飞行浏览及相关方法相比具有多个优点。首先，通过控制相机的仰角，其视野（FOV）角度（例如，>90度）不受限制，以最大化可视化表面积，因此不存在透视失真。其次，相机视体积垂直于结肠的每一半，所以隐藏在结肠袋皱襞后面的潜在息肉很容易被发现。最后，由于分割面的方向是可控的，可以在不同的分割方向重复导航，以克服息肉被结肠两半分开的问题。在15个临床数据集上的定量实验结果表明，平均表面可见性覆盖率为99.59 +/- 0.2%。
