Measures for the evaluation of bias field removal procedures in MRI and the design of wavelets for suppression of RF inhomogeneities

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

Abstract

RF inhomogeneities are illumination artifacts in MR images which manifest as a multiplicative bias field. To measure the quality of an MR image with respect to RF inhomogeneities, existing multi-valued criteria are in use. Here we propose a useful conversion of these multi-valued criteria into a single measure of quality which simplifies image quality evaluation and comparison. Next, to remove such a bias field, a novel wavelet based approach is employed, that extends a previous 1D wavelet design methodology to a 2D setting. This method is found to perform well on images with strong small details. The results for brain MR images are subject to improvement, however our results hint to a future scenario for improved image quality.

Original languageEnglish
Title of host publication30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
PublisherIEEE
Pages3028-31
Number of pages4
Volume2008
ISBN (Electronic)978-1-4244-1815-2
ISBN (Print)978-1-4244-1814-5
DOIs
Publication statusPublished - Aug 2008
EventAnnual International Conference of the IEEE Engineering in Medicine and Biology Society -
Duration: 1 Jan 20101 Jan 2010

Conference

ConferenceAnnual International Conference of the IEEE Engineering in Medicine and Biology Society
Period1/01/101/01/10

Keywords

  • Algorithms
  • Brain
  • Computer Simulation
  • Humans
  • Image Enhancement
  • Image Processing, Computer-Assisted
  • Magnetic Resonance Imaging
  • Models, Statistical
  • Phantoms, Imaging
  • Quality Control
  • Radio Waves
  • Subtraction Technique

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