A deep learning method for total-body dynamic PET imaging with dual-time-window protocols

Prolonged scanning durations are one of the primary barriers to the widespread clinical adoption of dynamic Positron Emission Tomography (PET). In this paper, we developed a deep learning algorithm that capable of predicting dynamic images from dual-time-window protocols, thereby shortening the scan...

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Veröffentlicht in:European journal of nuclear medicine and molecular imaging 2024-12
Hauptverfasser: Ding, Wenxiang, Wang, Hanzhong, Qiao, Xiaoya, Li, Biao, Huang, Qiu
Format: Artikel
Sprache:eng
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