Measures for the evaluation of bias field removal procedures in MRI and the design of wavelets for suppression of RF inhomogeneities.
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.
Karel
J M H
JM
Department of Mathematics, Maastricht University, Maastricht, The Netherlands. joel.karel@math.unimaas.nl
Fischer
K
K
Westra
R L
RL
Peeters
R L M
RL
D000465:Algorithms; D001921:Brain / Q000473:pathology*; D003198:Computer Simulation; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000295:instrumentation / Q000379:methods*; D015233:Models, Statistical; D019047:Phantoms, Imaging; D011786:Quality Control; D011846:Radio Waves; D013382:Subtraction Technique