【摘要】 针对旋转 DSA (Digital subtraction angiography)三维重建中成像模型不够精确的问题 ,首先引入了一种基于目标的非线性量化模型 ,该模型将三维血管切片投影图像量化为投影光线穿过的血管数目。提出了分割自引导重建算法 ,它尤其适合于解决稀疏投影与有限角度投影的切片重建问题。仿真试验结果表明本文提出的模型和算法是合理有效的更多还原

【Abstract】 Aiming at the problem of inaccurate imaging model of three dimensional (3D) reconstruction of rotational digital subtraction angiography (DSA), a nonlinear model based on object oriented quantization is introduced first. The model quantizes the projection pixel of 3D vessel slice as the number of vessels which the X ray goes through. Furthermore, a slice reconstruction algorithm named segment self guide reconstruction (SSGR) is developed. The SSGR is especially suitable for solving the problem of sparse projection and limited views. Finally, the simulated results have proved the feasibility of the model and the validity of the algorithm.更多还原