论文信息 - 3D Model-based method for vessel segmentation in TOF-MRA

3D Model-based method for vessel segmentation in TOF-MRA

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.

[1] J. Alison Noble,et al. An adaptive segmentation algorithm for time-of-flight MRA data , 1999, IEEE Transactions on Medical Imaging.

[2] Nicholas Ayache,et al. Model-Based Detection of Tubular Structures in 3D Images , 2000, Comput. Vis. Image Underst..

[3] Demetri Terzopoulos,et al. Medical Image Segmentation Using Topologically Adaptable Snakes , 1995, CVRMed.

[4] Dimitris N. Metaxas,et al. Gibbs Prior Models, Marching Cubes, and Deformable Models: A Hybrid Framework for 3D Medical Image Segmentation , 2003, MICCAI.

[5] J. M. Hammersley,et al. Markov fields on finite graphs and lattices , 1971 .

[6] Haluk Derin,et al. Modeling and Segmentation of Noisy and Textured Images Using Gibbs Random Fields , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[7] Aly A. Farag,et al. Cerebrovascular segmentation from TOF using stochastic models , 2006, Medical Image Anal..

[8] Guido Gerig,et al. Three-dimensional multi-scale line filter for segmentation and visualization of curvilinear structures in medical images , 1998, Medical Image Anal..

[9] Olivier D. Faugeras,et al. CURVES: Curve evolution for vessel segmentation , 2001, Medical Image Anal..