Iterative cone-beam reconstruction algorithm for binary vessel based on prior information

Three-dimensional (3D) reconstruction of blood vessel based on rotational digital subtraction angiography (DSA) is a new hot issue in the field of medical image processing. And it has a prospect of being widely used. On the basis of simultaneous algebraic reconstruction technique (SART), the state transition probability is constructed depending on a weighted average of all rays that traverse the voxel, thus an iterative reconstruction algorithm for binary object is developed. According to the character of 3D binary blood vessel, the maximum uniform criterion is adopted to constrain the iterative procedure. It has a function of volumetric cluster and it can greatly improve the reconstruction quality. The simulation experiments are executed on Defrise model and coronary artery model. The experimental results show that the proposed algorithm in this paper is better than Feldkamp algorithm especially in the aspect of suppressing noise and preserving structure information of reconstructed object.