Information compression by MR-tissue type imaging

Author

Bielke, Gernot ; Jungke, Manfred ; Meindl, Stefan

Author_Institution

Deutsche Klinik fuer Diagnostik, Wiesbaden, West Germany

fYear

1989

Firstpage

522

Abstract

To fully evaluate the inherent information of magnetic resonance (MR) images, a pulse sequence has been developed to carry out several measurements with different pulse sequence parameters. After the measurement, parameter images are calculated and used to classify tissues and to resynthesize images with optimal contrast, depending on the specific lesion. The classified tissues are color coded. Relevant diagnostic information from a series of 24 images is compressed to one single tissue type image using a transparent color overlay that, superimposed on the gray-level image, allows the evaluation of the morphological structure and the type and extent of the classified tissue areas

Keywords

biomedical NMR; patient diagnosis; NMR tissue type imaging; colour coding; diagnostic information; gray-level image; images resynthesis; information compression; lesion; medical diagnostic imaging; morphological structure; optimal contrast; pulse sequence; tissues classification; transparent color overlay; Data mining; Delay effects; Equations; Image coding; Lesions; Pulse measurements; Sequences; Signal processing; Signal synthesis; Tellurium;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in

Conference_Location

Seattle, WA

Type

conf

DOI

10.1109/IEMBS.1989.95854

Filename

95854