Enhancement of MR images using non-linear techniques

Author

Crespo, José ; Maojo, Victor ; Herrero, Carlos ; Sanandrés, José Antonio

Author_Institution

Fac. de Inf., Univ. Politecnica de Madrid, Spain

Volume

2

fYear

1996

fDate

31 Oct-3 Nov 1996

Firstpage

752

Abstract

In this paper, a non-linear operator is presented to increase the contrast and enhance magnetic resonance (MR) cardiac images. The operator is based on the iterative image enhancement method introduced by Kramer and Bruckner (1984). Angiographic images pose a difficult problem to image analysis techniques because of the non-homogeneity of the heart edges (as normally occurs in MR images). The multi-scale operator presented in the paper improves the image for this purpose by increasing the strength of the edges

Keywords

biomedical NMR; image enhancement; iterative methods; mathematical morphology; medical image processing; MRI images; angiographic images; cardiac images; contrast; heart edges; image enhancement; iterative method; morphological operators; multiscale operator; nonhomogeneity; nonlinear operator; Biomedical imaging; Digital images; Heart; Image analysis; Image edge detection; Image enhancement; Image segmentation; Iterative methods; Magnetic analysis; Magnetic resonance;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE

Conference_Location

Amsterdam

Print_ISBN

0-7803-3811-1

Type

conf

DOI

10.1109/IEMBS.1996.651959

Filename

651959