高斯衰减体绘制

为了解决医学数据中感兴趣组织易被非感兴趣组织遮挡的问题,提出了一种高斯衰减体绘制方法。首先对感兴趣组织进行空间定位,以快速确定观察区域。然后根据当前采样点与定位点连线和投射光线的夹角,以及当前采样点到定位点的空间距离来构建高斯衰减函数。最后将该高斯函数作用于当前采样点的不透明度。可以有效地减弱非感兴趣组织对感兴趣组织的影响和遮挡,突出感兴趣组织的空间结构信息。实验结果表明,方法具有简洁高效的人机交互,且对感兴趣区域可以进行有效地增强显示。

Gaussian Attenuation Volume Rendering

The traditional volume rendering is achieved by adjusting transfer function to distinguish between different organizational structures. It can provide clear organizational shape information, but often cannot be clearly expressed within the volume data. Through the use of cutting method or to adjust the transfer function, so that the outer layer of tissue is completely transparent to show the inner structure, may miss important context information. In this paper, we produced a volume rendering method based on Gaussian decay to retain context. Gradient magnitude, the distance from the current sampling point to the interesting viewpoint, view point angle (the angle of the direction of incident light with the current sampling point the interesting viewpoint) and other parameters to control the opacity of the interesting region with Gaussian decay. The experimental results show that this method successfully approach perspective to the region of interest, while retain a clear organizational profile and context information.