• 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