Fuzzy MRF models with multifractal analysis for MRI brain tissue classification

Release time:2021-12-25  Hits:

• Journal:1st International Conference on Bio-Inspired Systems and Signal Processing1st International Conference on Bio-Inspired Systems and Signal Processing
• Abstract:This paper introduces multifractal analysis to the Fuzzy Markov Random Field (MRF) Model, used for brain tissue classification of Magnetic Resonance Images (MRI). The traditional classifying method using Fuzzy MRF Model is already able to calculate out the memberships of each voxel, to solve the Partial Volume Effect (PVE). But its accuracy is relatively low, for its spatial resolution is not high enough. Therefore the multifractal analysis is brought in to raise the accuracy by providing local information. The improved method is tests on both simulated data and real images, where results on membership average errors and position errors are calculated. These results show that the improved method can provide much higher accuracy.
• Co-author:Dou, Weibei,Dellandrea, Emmanuel, Dou, Weibei, Chen, Liming
• First Author:Geng, Liang,Xiao, Zhongzhe, Dellandrea, Emmanuel, Dou, Weibei, Chen, Liming
• Indexed by:会议论文
• Correspondence Author:Dou, Weibei
• Page Number:33-39
• Translation or Not:no
• Date of Publication:2008-01-28