RF inhomogeneity correction algorithm in magnetic resonance imaging

Juan A. Hernández*, Martha L. Mora, Emanuele Schiavi, Pablo Toharia

*Corresponding author for this work

Research output: Chapter/Conference proceedingChapterAcademic

6 Citations (Scopus)

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

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsJose M. Barreiro, Fernando Martin-Sanchez, Victor Maojo, Ferran Sanz
Pages1-8
Number of pages8
DOIs
Publication statusPublished - 2004
Externally publishedYes

Publication series

SeriesLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3337
ISSN0302-9743

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