• DocumentCode
    1474415
  • Title

    Comments on "Partial-volume Bayesian classification of material mixtures in MR volume data using voxel histograms"

  • Author

    Soltanian-Zadeh, Hamid ; Windham, J.P.

  • Author_Institution
    Image Anal. Lab., Henry Ford Health Syst., Detroit, MI, USA
  • Volume
    17
  • Issue
    6
  • fYear
    1998
  • Firstpage
    1094
  • Abstract
    H. Soltanian-Zadeh and J.P. Windham read with interest a paper by D.H. Laidlaw et al. (see ibid., vol. 17, no. 1, p. 74-86, 1998). H. Soltanian-Zadeh and J.P. Windham felt that the methods D.H. Laidlaw et al. presented are interesting and illustrate the significance of partial volume information in medical image analysis. However, D.H. Laidlaw et al. seem to be unaware of the details of the literature on optimal partial volume estimation from MRI, although they cite one of the references. As such, there are a few important points that D.H. Laidlaw et al. did not describe correctly. The purpose of this communication by H. Soltanian-Zadeh and J.P. Windham is to explain these points.
  • Keywords
    Bayes methods; biomedical MRI; image classification; medical image processing; volume measurement; MR volume data; magnetic resonance imaging; material mixtures; medical diagnostic imaging; medical image analysis; partial-volume Bayesian classification; voxel histograms; Bayesian methods; Filtering; Filters; Image edge detection; Image sequence analysis; Magnetic materials; Magnetic resonance; Magnetic resonance imaging; Magnetic separation; Radiology; Bayes Theorem; Filtration; Humans; Magnetic Resonance Imaging;
  • fLanguage
    English
  • Journal_Title
    Medical Imaging, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0062
  • Type

    jour

  • DOI
    10.1109/42.746727
  • Filename
    746727