Drapikowski Pawel
Poznan University of Technology, Institute of Control and Information Engineering, ul. Piotrowo 3a, 60-965 Poznan, Poland.
Comput Med Imaging Graph. 2008 Mar;32(2):134-9. doi: 10.1016/j.compmedimag.2007.10.006. Epub 2007 Dec 21.
The work presents a method of determining uncertainty of surface-based models that are reconstructed fragments of a human body built on the basis of slice images received from computed tomography CT or magnetic resonance imaging MRI. An analysis of geometric structure of the models has been carried out determining features, such as local inclination angle of the normal to the surface relative to the direction of scanning, and local radius of curvature. These features, together with the distance between slice images, have the largest influence on accuracy of the reconstructed surface-based models. A model of uncertainty has been determined by comparing properly selected virtual anatomical models and their spatial reconstructions. The estimated uncertainty model has then been employed to determine local errors in geometric structure of surface-based models. A quality visualisation of the errors in the geometric model has been presented in the form of a colour scale, and a quantity visualisation in the form of a ribbon, whose width is proportional to the uncertainty model.
该工作提出了一种确定基于表面模型不确定性的方法，这些模型是基于从计算机断层扫描（CT）或磁共振成像（MRI）获得的切片图像重建的人体片段。已对模型的几何结构进行分析，确定了诸如表面法线相对于扫描方向的局部倾斜角以及局部曲率半径等特征。这些特征与切片图像之间的距离对基于表面的重建模型的准确性影响最大。通过比较适当选择的虚拟解剖模型及其空间重建确定了不确定性模型。然后，使用估计的不确定性模型来确定基于表面模型几何结构中的局部误差。以颜色刻度的形式呈现了几何模型中误差的质量可视化，以带状的形式呈现了数量可视化，其宽度与不确定性模型成比例。
