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
Link To Document :
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