Loading...
Deep learning-based Attenuation Correction in the Absence of Structural Information for Whole-body PET Imaging
Deriving accurate structural maps for attenuation correction (AC) of whole-body PET remains challenging. Common problems include truncation, inter-scan motion, and erroneous transformation of structural voxel-intensities to PET μ-map values (e.g. modality artifacts, implanted devices, or contrast ag...
Na minha lista:
| Udgivet i: | Phys Med Biol |
|---|---|
| Main Authors: | , , , , , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
2020
|
| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7099429/ https://ncbi.nlm.nih.gov/pubmed/31869826 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1088/1361-6560/ab652c |
| Tags: |
Tilføj Tag
Ingen Tags, Vær først til at tagge denne postø!
|