Enhancement of MR images using non-linear techniques

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.

[1]  Ronald W. Schafer,et al.  Efficient image partition algorithm based on edge information , 1992, Other Conferences.

[2]  Philippe Salembier,et al.  Connected operators and pyramids , 1993, Optics & Photonics.

[3]  John F. Brenner,et al.  Local transforms for biomedical image analysis , 1980 .

[4]  José Crespo,et al.  Theoretical aspects of morphological filters by reconstruction , 1995, Signal Process..

[5]  Henry P. Kramer,et al.  Iterations of a non-linear transformation for enhancement of digital images , 1975, Pattern Recognit..

[6]  Lucas J. van Vliet,et al.  A nonlinear laplace operator as edge detector in noisy images , 1989, Comput. Vis. Graph. Image Process..

[7]  Ronald W. Schafer,et al.  Image partition using an iterative multi-resolution smoothing algorithm , 1992, [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing.