RF Inhomogeneity Correction Algorithm in Magnetic Resonance Imaging

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 show that the grey-level inhomogeneities can be corrected without segmentation.

• Type: Conference
• Year: 2004
• Where: ISMDA
• Authors: Juan Antonio Hernández Tamames, Martha L. Mora, Emanuele Schiavi, Pablo Toharia
• Keywords: ISMDA 2004, Present Grey Level, Segmentation Processes, Segmentation Step