Abstract
MR images usually present grey level inhomogeneities which are a problem of significant importance. Eliminating these inhomogeneities is not an easy problem and has been studied and discussed in several previous publications. Most of those approaches are based on segmentation processes. The algorithm presented in this paper has the advantage that it does not involve any segmentation step. Instead, a interpolating polynomial model based on a Gabor transform was used to construct a filter that can be used in order to correct these inhomogeneities. The results obtained are really good and shows that the grey-level inhomogeneities can be corrected without segmentation.
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Hernández, J.A., Mora, M.L., Schiavi, E., Toharia, P. (2004). RF Inhomogeneity Correction Algorithm in Magnetic Resonance Imaging. In: Barreiro, J.M., Martín-Sánchez, F., Maojo, V., Sanz, F. (eds) Biological and Medical Data Analysis. ISBMDA 2004. Lecture Notes in Computer Science, vol 3337. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30547-7_1
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DOI: https://doi.org/10.1007/978-3-540-30547-7_1
Publisher Name: Springer, Berlin, Heidelberg
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