Optimized homomorphic unsharp masking for MR grayscale inhomogeneity correction

@article{Brinkmann1998OptimizedHU,
  title={Optimized homomorphic unsharp masking for MR grayscale inhomogeneity correction},
  author={Benjamin H. Brinkmann and Armando Manduca and Richard A. Robb},
  journal={IEEE Transactions on Medical Imaging},
  year={1998},
  volume={17},
  pages={161-171}
}
Grayscale inhomogeneities in magnetic resonance (MR) images confound quantitative analysis of these images. Homomorphic unsharp masking and its variations have been commonly used as a post-processing method to remove inhomogeneities in MR images, However, little data is available in the literature assessing the relative effectiveness of these algorithms to remove inhomogeneities, or describing how these algorithms can affect image data. In this study, the authors address these questions… CONTINUE READING

Citations

Publications citing this paper.
Showing 1-10 of 116 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 34 references

Semi-supervised segmentation of MRI stroke studies

  • H. Soltanian-Zadeh, J. P. Windham, L. Robbins
  • Proc. Medical Imaging 1997: Image Processing…
  • 1997
1 Excerpt

Adaptive segmentation of MRI data

  • D. G. M. Murphy C. DeCarli, M. Tran, D. Teichberg
  • IEEE Trans. Med. Imag. , vol. 15, pp. 429–442…
  • 1996
1 Excerpt

Similar Papers

Loading similar papers…