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Non-Photorealistic Rendering for Minimally Invasive Procedures

机译:微创程序的非真实感渲染

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Abdominal aortic aneurysms are a common disease of the aorta which are treated minimally invasive in about 33 % of the cases. Treatment is done by placing a stent graft in the aorta to prevent the aneurysm from growing. Guidance during the procedure is facilitated by fluoroscopic imaging. Unfortunately, due to low soft tissue contrast in X-ray images, the aorta itself is not visible without the application of contrast agent. To overcome this issue, advanced techniques allow to segment the aorta from pre-operative data, such as CT or MRI. Overlay images are then subsequently rendered from a mesh representation of the segmentation and fused to the live fluoroscopic images with the aim of improving the visibility of the aorta during the procedure. The current overlay images typically use forward projections of the mesh representation. This fusion technique shows deficiencies in both the 3-D information of the overlay and the visibility of the fluoroscopic image underneath. We present a novel approach to improve the visualization of the overlay images using non-photorealistic rendering techniques. Our method preserves the visibility of the devices in the fluoroscopic images while, at the same time, providing 3-D information of the fused volume. The evaluation by clinical experts shows that our method is preferred over current state-of-the-art overlay techniques. We compared three visualization techniques to the standard visualization. Our silhouette approach was chosen by clinical experts with 67 %, clearly showing the superiority of our new approach.
机译:腹主动脉瘤是主动脉的常见疾病,在约33%的病例中接受微创治疗。通过将支架植入物放置在主动脉中以防止动脉瘤的生长来进行治疗。透视成像有助于在手术过程中进行指导。不幸的是,由于X射线图像中的软组织对比度低,如果不使用造影剂,主动脉本身是不可见的。为了克服这个问题,先进的技术允许从术前数据(例如CT或MRI)中分割主动脉。然后,从分割的网格表示中渲染叠加图像,并将其融合到实时荧光透视图像中,目的是在手术过程中提高主动脉的可见度。当前的叠加图像通常使用网格表示的正投影。这种融合技术在覆盖层的3D信息和下方透视图像的可见性方面均显示出缺陷。我们提出一种新颖的方法,以使用非照片级逼真的渲染技术来改善覆盖图像的可视化。我们的方法在透视图像中保留了设备的可见性,同时提供了融合体积的3-D信息。临床专家的评估表明,我们的方法优于当前的最新叠加技术。我们将三种可视化技术与标准可视化进行了比较。临床专家选择了我们的轮廓法,占67%,这清楚地表明了我们新方法的优越性。

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