Title :
An Accelerated Binary Segmentation of Brain Vasculature using MRF Model
Author :
Hao, J.T. ; Li, M.L. ; Tang, F.L.
Author_Institution :
Dept. of Comput. Sci. & Eng., Shanghai Jiaotong Univ.
Abstract :
In this paper, we present an approach to segment the brain vasculature in time-of-flight magnetic resonance angiography (TOF-MRA). An accelerated ICM algorithm has been proposed which is based on the observation that the vessel occupies about 5% of the intracranial volume. Experimental results show that the proposed model provides good quality of segmentation and can obviously increase segmentation speed
Keywords :
Markov processes; biomedical MRI; blood vessels; brain; image segmentation; medical image processing; Markov random field; accelerated binary segmentation; blood vessel; brain vasculature; image segmentation; intracranial volume; time-of-flight magnetic resonance angiography; Acceleration; Angiography; Brain modeling; Computer science; Data engineering; Gaussian distribution; Image segmentation; Magnetic resonance; Parameter estimation; Stochastic processes;
Conference_Titel :
Computational Intelligence and Security, 2006 International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
1-4244-0605-6
Electronic_ISBN :
1-4244-0605-6
DOI :
10.1109/ICCIAS.2006.295379
