DocumentCode
3318975
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.
Volume
2
fYear
2006
fDate
3-6 Nov. 2006
Firstpage
1825
Lastpage
1828
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICCIAS.2006.295379
Filename
4076285
Link To Document