CAJ | 학술논문

本文提出了一种基于模型的稀疏角度投影图像冠状动脉体数据重建方法，本文的工作主要包括：1）提出了一种血管结构参数化算法，该算法在保证不同节段血管表面的空间连续性的基础上，对血管分支分叉不为进行自动识别和连接；2）建立了一种基于投影数据匹配的血管半径估计方法，用于设定血管初始半径；3）在参数优化过程中引入了包含利用血管结构先验知识和弹性先验进行约束，保证了血管结构的的平滑性和弹性先验以此来并排除降低噪声的干扰和，增大对初始坐标位置误差的容许度，并利用算法利用梯度下降法进行迭代优化。实验表明该重建方法对冠状动脉X射线造影重建能够收敛并具有较精确的重建结果。
본문제출료일충기우모형적희소각도투영도상관상동맥체수거중건방법，본문적공작주요포괄：1）제출료일충혈관결구삼수화산법，해산법재보증불동절단혈관표면적공간련속성적기출상，대혈관분지분차불위진행자동식별화련접；2）건립료일충기우투영수거필배적혈관반경고계방법，용우설정혈관초시반경；3）재삼수우화과정중인입료포함이용혈관결구선험지식화탄성선험진행약속，보증료혈관결구적적평활성화탄성선험이차래병배제강저조성적간우화，증대대초시좌표위치오차적용허도，병이용산법이용제도하강법진행질대우화。실험표명해중건방법대관상동맥X사선조영중건능구수렴병구유교정학적중건결과。
This paper describes an object-based approach to the problem of reconstructing three-dimensional descriptions of arterial trees from a few noisy angiographic projections. The stages of the method are: 1) an easy to implement parameter model are designed to represent bifurcations accurately, and ensure that the spatial continuity of the vascular surface;2) an automatic algorithms for the initialization of parameter model;3) The method incorporates a priori knowledge of the structure of the arteries into a natural optimality criterion that encompasses the entire arterial tree. We present an efficient optimization algorithm for object estimation, and demonstrate its performance by the experimental results.