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 |
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Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
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