Evaluation of MR Image Intensity Inhomogeneity Correction Algorithms

Keywords

abstract anal anatomical applied artifacts assessment assumption become behavioral best bias binary blur blurry boundaries boundary brain carried challenge channel children coefficient cognitive coil come computed contain contrast corrected correction defined dependent deviation edge effective evaluate evaluation example existing fast field generally good gradient gray greatly ground guide hand head hospital human ignored imperfect improve improved in vivo inhomogeneity inhomogeneous intensities intensity introduce introduced inversion isolated lack lead limited location mainly major masks matrix minimal modeling multiplying nationwide noise obviously often optimal optimization optimize others outperformed particularly percent performance perinatal phantom popular procedures processing produce produced proposed qualitatively quality quantifications quantify quantifying quantitative quantitatively reasonable recovery reduced reliable relied remarkably rendered residue resolution satisfactory segmentation segmented severe sharp simulated slice smoothed software strategy studies subjective subjects synthetic system table tissue tissues trio truth type uniform uniformities uniformity unrealistic validation validations variation various volumes volunteers white whole wicks