Registration and visualization of surfaces play a significant role in the engineering and medical fields. Especially in virtual colonoscopy (VC), an efficient and robust registration method between supine and prone computed tomography (CT) scans is highly desirable, due to the fact that it helps improve polyp detection rates. However, supine and prone colon registration is still a challenging task due to the large distortion in colon shape. In this work, we present a novel registration and visualization framework for supine and prone colon scans using the optimal mass transport (OMT) theory. The proposed novel method enables parameterization of the colon surface onto the planar rectangle domain for better registration and visualization. Also, we develop novel flattened visualization of the colon wall with magnification of polyps using color-coded distance change in the 2D map. Experimental results validate our proposed registration method and demonstrate the effectiveness and robustness of our method.

表面的配准和可视化在工程和医学领域中发挥着重要作用。尤其是在虚拟结肠镜检查（VC）中，由于仰卧和俯卧计算机断层扫描（CT）扫描有助于提高息肉的检出率，因此非常需要一种有效且鲁棒的配准方法。然而，由于结肠形状的大变形，仰卧和俯卧结肠的登记仍然是一项艰巨的任务。在这项工作中，我们介绍了一种使用最佳质量传输（OMT）理论进行仰卧和俯卧结肠扫描的新型注册和可视化框架。所提出的新颖方法能够将结肠表面参数化到平面矩形域上，以实现更好的配准和可视化。也，我们使用2D地图中以颜色编码的距离变化来开发新的扁平化的结肠壁扁平化可视化，并放大息肉。实验结果验证了我们提出的配准方法，并证明了该方法的有效性和鲁棒性。