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Deep learning with noise-to-noise training for denoising in SPECT myocardial perfusion imaging
PURPOSE: Post-reconstruction filtering is often applied for noise suppression due to limited data counts in myocardial perfusion imaging (MPI) with single-photon emission computed tomography (SPECT). We study a deep learning (DL) approach for denoising in conventional SPECT-MPI acquisitions, and inv...
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| I publikationen: | Med Phys |
|---|---|
| Huvudupphovsmän: | , , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
2020
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7902415/ https://ncbi.nlm.nih.gov/pubmed/33145782 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mp.14577 |
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