基于目标量化模型的三维血管切片重建  

Slice Reconstruction of 3D Vessel Based on Object-oriented Quantization

作　　者：俞恒永[1] 牟轩沁[1] 蔡元龙[1] 

机构地区：[1]西安交通大学图像处理与识别研究所,西安710049

出　　处：《生物医学工程学杂志》2003年第2期318-321,共4页Journal of Biomedical Engineering

基　　金：国家自然科学基金资助项目 (3 0 0 70 2 2 5 );国家"863计划"资助项目 (863 -3 0 6-0 6-0 6)

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。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 was introduced, The model quantizes the projection pixel of 3D vessel slice as the number of vessels which the X-ray goes through. A slice reconstruction algorithm called segment self-guide reconstruction (SSGR) was developed. The SSGR is especially suitable for solving the problem of sparse projection and limited-views. The simulated results have proved the feasibility of the model and the validity of the algorithm.

关 键 词：血管切片 三维重建 目标量化模型 心脑血管疾病 

分 类 号：R310[医药卫生—基础医学]