DocumentCode :
2951612
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
fYear :
2010
fDate :
Aug. 31 2010-Sept. 4 2010
Firstpage :
6114
Lastpage :
6117
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;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location :
Buenos Aires
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4123-5
Type :
conf
DOI :
10.1109/IEMBS.2010.5627807
Filename :
5627807
Link To Document :
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