The axial field of view (AFOV) plays a pivotal role in determining image quality in positron emission tomography (PET). While total-body PET scanners like the uEXPLORER offer superior sensitivity, they come at a higher cost and limited accessibility.
Now, a research team led by Prof. Hu Zhanli from the Shenzhen Institute of Advanced Technology of the Chinese Academy of Sciences has proposed a new method to elevate PET image quality, by using deep learning technology to optimize short-axis PET scanner images through high-quality long-axis PET scanner images. The result was published in theIn this study, the researchers used PET images from three anatomical locations taken from 335 patients.
This study sheds light on the possibility of using the uEXPLORER PET/CT system to improve short-axis PET
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