Meeting ReportClinical Science
Low-count Rb-82 cardiac PET/CT image denoising via deep learning for clinical dose reduction with preserved quantification accuracy.
Michelle Fridlund, Martin Lassen, Philip Hasbak, Liselotte Højgaard, Ole Munk, Flemming Andersen and Claes Ladefoged
Journal of Nuclear Medicine August 2022, 63 (supplement 2) 2263;
Michelle Fridlund
1Rigshospitalet, Copenhagen University Hospital, Denmark
Martin Lassen
2Rigshospitalet, Copenhagen University Hospital
Philip Hasbak
2Rigshospitalet, Copenhagen University Hospital
Liselotte Højgaard
3Rigshospitalet, Copenhagen University
Ole Munk
4Aarhus University Hospital
Flemming Andersen
3Rigshospitalet, Copenhagen University
Claes Ladefoged
5Rigshospitalet

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Journal of Nuclear Medicine
Vol. 63, Issue supplement 2
August 1, 2022
Low-count Rb-82 cardiac PET/CT image denoising via deep learning for clinical dose reduction with preserved quantification accuracy.
Michelle Fridlund, Martin Lassen, Philip Hasbak, Liselotte Højgaard, Ole Munk, Flemming Andersen, Claes Ladefoged
Journal of Nuclear Medicine Aug 2022, 63 (supplement 2) 2263;
Low-count Rb-82 cardiac PET/CT image denoising via deep learning for clinical dose reduction with preserved quantification accuracy.
Michelle Fridlund, Martin Lassen, Philip Hasbak, Liselotte Højgaard, Ole Munk, Flemming Andersen, Claes Ladefoged
Journal of Nuclear Medicine Aug 2022, 63 (supplement 2) 2263;
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