Page 172 - Quantitative Imaging of Small Tumours with Positron Emission Tomography

Systematic review and meta-analysis 7 171 [38] max mean fuzzy locally adaptive Bayesian algorithm IDC with denoising PET/CT RAMLA - 5 (G) - 4*4*4 peak [36] max - 60%max 40%max manual RC RC RC RC IDC with denoising PET OSEM FORE (32s1i) - PET/CT OSEM - PET/CT OSEM (28s2i) - PET - - PET/CT RAMLA - - - - - - - - - 10 to 12 - - 4.7*4.7*3.3 - - 4*4*4 [39] - [40] mean [41] n.a. [42] max mean fuzzy locally adaptive Bayesian algorithm [43] max mean fuzzy locally adaptive Bayesian algorithm IDC with denoising RC + IDC RC PET/CT OSEM FORE (8s4i) 6 PET/CT OSEM (28s2i) - PET/CT OSEM (8s4i) - - 5.5 (G) 5 (G) - - - 4.1*4.1*3 3.9*3.9*4.3 4*4*2 [44] max mean (pvc) system-specific contrast- oriented algorithm peak [45] mean adaptive iterative thresholding algorithm peak RC = recovery coefficient; PSF = point spread function; CT = computed tomography; IDC = iterative deconvolution; GTM = geometric transfer matrix; FBP = filtered backprojection; MLA = maximum-likelihood algorithm; RAMLA = row-action maximum-likelihood algorithm; OSEM = ordered subset expectation maximization; FORE = Fourier rebinning; H = Hanning filter; G = Gauss filter; FWHM = full width at half maximum; n.a. = not applicable.