3D Model-based method for vessel segmentation in TOF-MRA
Kui Fang, Defeng Wang, Lok Ming Lui, Shoujun Zhou, Chiu‐Wing Winnie Chu, Anil Tejbhan Ahuja, Pheng‐Ann Heng · 2011
In this paper, an automatic method to segment the blood vessel for 3D MRA (Magnetic Resonance Angiography) is presented. The segmentation process classifies MRA data into two parts: background and blood vessels. The process includes statistical model based on the voxel intensity and MRF model based on the context information of voxels. Both the models were built on 3D voxel, rather than on 2D. The proposed method is tested on the 3D Time-Of-Flight (TOF)-MRA data. The segmentation results give a good performance in extracting blood vessels.