血管三维结构重建方法;METHOD FOR RECONSTRUCTION OF BLOOD VESSELS 3D STRUCTURE

摘要

本发明提供一种三维血管影像重建方法，可以适当地消除存在于体素呈像中的干扰，并适应血管的分岔及尺度变化。本发明先执行影像在不同尺度下的强化，然后对影像的二阶结构进行海森矩阵(Hessian Matrix)的特征值分析，以得知影像中的各体素是否具备对称特质；本发明提出的特征值为对称值Sk，该对称值可以描述不同的管状结构的侦测灵敏度以及剖面轮廓的平滑度，同时该对称值具备正负值令本发明可以在后续的加权计算中发挥侦测空心管的功能，该对称特征值以球谐函数进行多维描述，该球谐函数进行球积分后，可得到球面上不同角度的高维特征值，对不同尺度加权所求得的极向机率分布N(Sk)进行球面积分以得到对称结构强度，利用海森矩阵的特征值计算极向机率分布所得到对称结构强度，即可进行血管追踪及三维影像重建，本发明所得的结果兼具管状结构的强度与影像的线性关系及自适调整的标准正交特性。; meanwhile the polarity of the value assists in detecting hollow tubes by the following weighting. The symmetrical eigenvalues are established into multi-dimension with the spherical harmonics. After integrating in the spherical coordinate, the high-dimension eigenvalue can be obtained in different angles on the spherical surface. The results of weighting,N(Sk) from multiple scales, can then be integrated as the polar distribution on the spherical surface to be the symmetrical structureness. The vessel tracking and the 3D image reconstruction can be achieved by using Hessian Matrix eigenvalues to compute the symmetrical structureness obtained from the polar distribution. The result of the present invention has the intensity of the tubular structure, the linear correlation of the image and self-adapting normal orthogonality.