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 proceeding › Conference article in proceeding › Academic › peer-review
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.
- Algorithms, Brain, Computer Simulation, Humans, Image Enhancement, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Models, Statistical, Phantoms, Imaging, Quality Control, Radio Waves, Subtraction Technique