DocumentCode :
820240
Title :
A comparative analysis of several transformations for enhancement and segmentation of magnetic resonance image scene sequences
Author :
Soltanian-Zadeh, Hamid ; Windham, Joe P. ; Peck, Donald J. ; Yagle, Andrew E.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
Volume :
11
Issue :
3
fYear :
1992
fDate :
9/1/1992 12:00:00 AM
Firstpage :
302
Lastpage :
318
Abstract :
The performance of the eigenimage filter is compared with those of several other filters as applied to magnetic resonance image (MRI) scene sequences for image enhancement and segmentation. Comparisons are made with principal component analysis, matched, modified-matched, maximum contrast, target point, ratio, log-ratio, and angle image filters. Signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), segmentation of a desired feature (SDF), and correction for partial volume averaging effects (CPV) are used as performance measures. For comparison, analytical expressions for SNRs and CNRs of filtered images are derived, and CPV by a linear filter is studied. Properties of filters are illustrated through their applications to simulated and acquired MRI sequences of a phantom study and a clinical case; advantages and weaknesses are discussed. The conclusion is that the eigenimage filter is the optimal linear filter that achieves SDF and CPV simultaneously
Keywords :
biomedical NMR; image segmentation; image sequences; medical image processing; clinical case; contrast-to-noise ratio; desired feature; eigenimage filter performance; image enhancement; image segmentation; magnetic resonance image scene sequences; medical diagnostic imaging; partial volume averaging effects; phantom study; principal component analysis; signal-to-noise ratio; Image enhancement; Image segmentation; Layout; Magnetic analysis; Magnetic resonance; Magnetic resonance imaging; Magnetic separation; Matched filters; Nonlinear filters; Principal component analysis;
fLanguage :
English
Journal_Title :
Medical Imaging, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0062
Type :
jour
DOI :
10.1109/42.158934
Filename :
158934
Link To Document :
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