Computer Vision Based on Fluid Equation-Reconstruction of 3D Flow Fields from Surface Flow image and X-ray Cineangiograms-

目的：利用流体方程作为约束条件，从表面图像和X射线电影图像重建流场。提出了一种从流场中获取符号描述的新模型和新算法。并给出了层流和旋涡的检测算法。通过我们的方法，我们获得了流场的定性和定量信息.提出了一种从X射线投影图像序列中求解流体显着结构来估计流场的方法。将该方法应用于真实的DSA图像序列，估计了血流场。然后，我们提取的特征值，如位置或强度的涡流预期给予临床意义.提出了一种以表面图像序列和流体（Navier-Stokes）方程为约束的三维重建方法。我们估计了闭塞图像的3D流。我们适用于真实的图像的卡门涡，我们估计2D流动的闭塞图像数据。

Objectives : Reconstruction of flow fields from surface images and X-ray Cineang iograms, using fluid equations as a constraint1. We proposed a new model and new algorithm to aquire symbolic description from flow field. And we present our detecting algorithm for laminar flow and vorticies. Through our method, we obtain both qualitative and quantitative information from flow field.2. We presented techniques for estimating flow field by solving fluid salient structure from X-ray projection image sequence. Applying the methd to the real DSA image sequence, we estimated the blood flow field. Then, we extract feature values such as positions or strengthes of vortices expected as giving clinical signi ficance.3. We presented a new method of 3D reconstruction using surface image sequence and fluid (Navier-Stokes) equation as a constraint. We estimated the 3D flow for occlusive image. We apply to real images of Karman vortices and we estimate 2D flow of occlusive image data.