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