J Nantel, J C McDonald, S Tan, H Bronte-Stewart
Deficits in visuospatial processing contribute to quantitative measures of freezing of gait in Parkinson's disease
Neuroscience
iterative algorithms maximum likelihoodexpectation maximization mlem become standard reconstruction emission computed tomography however algorithms sensitive noise artifacts reconstruction begins degrade number iterations reaches certain value paper investigated new iterative algorithm penalizedlikelihood image reconstruction uses fuzzy nonlinear anisotropic diffusion ad penalty function proposed algorithm suffer problem mlem algorithm converges low noisy solution even iteration number high fuzzy reasoning instead nonnegative monotonically decreasing function used calculate diffusion coefficients control whole diffusion thus diffusion strength controlled fuzzy rules expressed linguistic form proposed method makes use advantages fuzzy set theory dealing uncertain problems nonlinear ad techniques removing noise well preserving edges quantitative analysis shows proposed reconstruction algorithm suitable produce better reconstructed images compared mlem ordered subsets em osem gaussianmap mrp tvem reconstructed images