A comparative analysis of several transformations for enhancement and segmentation of magnetic resonance image scene sequences

作者: H. Soltanian-Zadeh , J.P. Windham , D.J. Peck , A.E. Yagle

DOI: 10.1109/42.158934

关键词:

摘要: The performance of the eigenimage filter is compared with those several other filters as applied to magnetic resonance image (MRI) scene sequences for enhancement and segmentation. Comparisons are made principal component analysis, matched, modified-matched, maximum contrast, target point, ratio, log-ratio, angle filters. Signal-to-noise ratio (SNR), contrast-to-noise (CNR), segmentation a desired feature (SDF), correction partial volume averaging effects (CPV) used measures. For comparison, analytical expressions SNRs CNRs filtered images derived, CPV by linear studied. Properties illustrated through their applications simulated acquired MRI phantom study clinical case; advantages weaknesses discussed. conclusion that optimal achieves SDF simultaneously. >

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