Impact of a Bayesian penalized likelihood reconstruction algorithm on image quality in novel digital PET/CT: clinical implications for the assessment of lung tumors

被引:0
作者
Michael Messerli
Paul Stolzmann
Michèle Egger-Sigg
Josephine Trinckauf
Stefano D’Aguanno
Irene A. Burger
Gustav K. von Schulthess
Philipp A. Kaufmann
Martin W. Huellner
机构
[1] University Hospital Zurich/University of Zurich,Department of Nuclear Medicine
[2] University Hospital Zurich/University of Zurich,Department of Pathology and Molecular Pathology
[3] GE Medical Systems (Schweiz) AG,undefined
来源
EJNMMI Physics | / 5卷
关键词
Positron-emission tomography; Lung cancer; Image reconstruction; PET/CT; Image quality enhancement;
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