Validation of magnetic resonance imaging (MRI) multispectral tissue classification

Author

Vannier, Michael W. ; Speidel, Christopher M. ; Rickman, D.L. ; Schertz, Larry D. ; Baker, Lynette R. ; Hildebolt, Charles F. ; Offutt, Carolyn J. ; Balko, James A. ; Butterfield, Robert L. ; Gado, Mokhtar H.

Author_Institution

Mallinckrodt Inst. of Radiol., Washington Univ. Sch. of Med., St. Louis, MO, USA

fYear

1988

fDate

14-17 Nov 1988

Firstpage

1182

Abstract

NASA multispectral image processing technology has been adapted to the analysis of magnetic resonance imaging (MRI) scans. A statistical evaluation of multispectral analysis applied to tissue classification in MRI brain scans has been performed. The radiometric and geometric distortions introduced by the MRI scanner can be removed before feature extraction and classification. Signatures may be derived from one set of multispectral MR images at a single anatomic level and be applied in the same subject at later times, to other anatomic levels containing the same tissues, or to other subjects

Keywords

biomedical NMR; computerised pattern recognition; spectral analysis; statistical analysis; MRI brain scans; feature extraction; geometric distortions; magnetic resonance imaging; multispectral tissue classification; radiometric distortion; statistical evaluation; Feature extraction; Image analysis; Magnetic analysis; Magnetic resonance imaging; Multispectral imaging; NASA; Performance analysis; Performance evaluation; Radiometry; Space technology;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 1988., 9th International Conference on

Conference_Location

Rome

Print_ISBN

0-8186-0878-1

Type

conf

DOI

10.1109/ICPR.1988.28467

Filename

28467