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Interactive 3D visualization of structural changes in the brain of a person with corticobasal syndrome

机译:互动式3D可视化显示皮质基底膜综合征患者大脑结构的变化

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摘要

The visualization of the progression of brain tissue loss in neurodegenerative diseases like corticobasal syndrome (CBS) can provide not only information about the localization and distribution of the volume loss, but also helps to understand the course and the causes of this neurodegenerative disorder. The visualization of such medical imaging data is often based on 2D sections, because they show both internal and external structures in one image. Spatial information, however, is lost. 3D visualization of imaging data is capable to solve this problem, but it faces the difficulty that more internally located structures may be occluded by structures near the surface. Here, we present an application with two designs for the 3D visualization of the human brain to address these challenges. In the first design, brain anatomy is displayed semi-transparently; it is supplemented by an anatomical section and cortical areas for spatial orientation, and the volumetric data of volume loss. The second design is guided by the principle of importance-driven volume rendering: A direct line-of-sight to the relevant structures in the deeper parts of the brain is provided by cutting out a frustum-like piece of brain tissue. The application was developed to run in both, standard desktop environments and in immersive virtual reality environments with stereoscopic viewing for improving the depth perception. We conclude, that the presented application facilitates the perception of the extent of brain degeneration with respect to its localization and affected regions.
机译:可视化神经退行性疾病(如皮质基底肌综合征(CBS))中脑组织损失的进展不仅可以提供有关体积损失的定位和分布的信息,还可以帮助了解这种神经退行性疾病的病程和原因。这种医学成像数据的可视化通常基于2D截面,因为它们在一个图像中同时显示内部和外部结构。但是,空间信息会丢失。成像数据的3D可视化能够解决此问题,但是它面临着这样的困难,即靠近表面的结构可能会阻塞更多位于内部的结构。在这里,我们提出了一种具有两种设计的应用程序,用于人脑的3D可视化以解决这些挑战。在第一种设计中,大脑解剖结构半透明显示;它由解剖部分和皮质区域(用于空间定向)以及体积损失的体积数据补充。第二种设计是由重要性驱动的体积渲染原理指导的:通过切出截头截头状的大脑组织,可以提供对大脑深部相关结构的直接视线。该应用程序被开发为可以在标准桌面环境和具有立体视图的沉浸式虚拟现实环境中运行,以改善深度感知。我们得出的结论是,提出的应用程序有助于就其局部化和受影响的区域对大脑变性的程度进行感知。

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