Impact of a Bayesian penalized likelihood reconstruction algorithm on image quality in novel digital PET/CT: clinical implications for the assessment of lung tumors
贝叶斯惩罚似然重建算法对新型数字PET/CT图像质量的影响：对肺肿瘤评估的临床意义
期刊:Ejnmmi Physics
影响因子:3.2
doi:10.1186/s40658-018-0223-x
Messerli, Michael; Stolzmann, Paul; Egger-Sigg, Michèle; Trinckauf, Josephine; D'Aguanno, Stefano; Burger, Irene A; von Schulthess, Gustav K; Kaufmann, Philipp A; Huellner, Martin W
