Title : 
Edge-based partial volume averaging estimation for FLAIR MRI with white matter lesions
         
        
            Author : 
Khademi, April ; Venetsanopoulos, Anastasios ; Moody, Alan R.
         
        
            Author_Institution : 
Elec. & Comp. Eng. Dept., Univ. of Toronto, Toronto, ON, Canada
         
        
        
            fDate : 
Aug. 31 2010-Sept. 4 2010
         
        
        
        
            Abstract : 
Through the combination of intensity and fuzzy edge strength measures, a new partial volume averaging (PVA) quantification technique for FLAIR MRI with white matter lesions (WML) is developed. It is focused on an edge-based approach, which “probes” for PVA voxels via a global estimate for the change in the proportion of tissues α´. This estimate is refined according to a probabilistic threshold, and the result is decoded to find the proportion of tissues fraction α - the percentage of one tissue found in a mixture voxel. The results from several images are shown illustrating how the technique may be used to segment PVA and pure tissue classes. The result is a non-model based approach to the detection and quantification of PVA.
         
        
            Keywords : 
biological tissues; biomedical MRI; brain; edge detection; estimation theory; fuzzy set theory; image coding; image segmentation; medical image processing; FLAIR MRI; biological tissues; decoding; edge-based partial volume averaging estimation; fuzzy edge strength; image segmentation; intensity; white matter lesions; Image edge detection; Image segmentation; Lesions; Magnetic resonance imaging; Mathematical model; Noise; Pixel; Artifacts; Brain; Humans; Image Interpretation, Computer-Assisted; Magnetic Resonance Imaging;
         
        
        
        
            Conference_Titel : 
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
         
        
            Conference_Location : 
Buenos Aires
         
        
        
            Print_ISBN : 
978-1-4244-4123-5
         
        
        
            DOI : 
10.1109/IEMBS.2010.5627807