Independent attenuation correction of whole body [
Attenuation correction
Deep learning
PET
Whole body
Journal
EJNMMI research
ISSN: 2191-219X
Titre abrégé: EJNMMI Res
Pays: Germany
ID NLM: 101560946
Informations de publication
Date de publication:
24 May 2020
24 May 2020
Historique:
received:
25
02
2020
accepted:
12
05
2020
entrez:
26
5
2020
pubmed:
26
5
2020
medline:
26
5
2020
Statut:
epublish
Résumé
Attenuation correction (AC) of PET data is usually performed using a second imaging for the generation of attenuation maps. In certain situations however-when CT- or MR-derived attenuation maps are corrupted or CT acquisition solely for the purpose of AC shall be avoided-it would be of value to have the possibility of obtaining attenuation maps only based on PET information. The purpose of this study was to thus develop, implement, and evaluate a deep learning-based method for whole body [ The proposed method is investigated on whole body [ Qualitative analysis revealed no major SUV deviations on PET Independent AC of whole body [
Sections du résumé
BACKGROUND
BACKGROUND
Attenuation correction (AC) of PET data is usually performed using a second imaging for the generation of attenuation maps. In certain situations however-when CT- or MR-derived attenuation maps are corrupted or CT acquisition solely for the purpose of AC shall be avoided-it would be of value to have the possibility of obtaining attenuation maps only based on PET information. The purpose of this study was to thus develop, implement, and evaluate a deep learning-based method for whole body [
METHODS
METHODS
The proposed method is investigated on whole body [
RESULTS
RESULTS
Qualitative analysis revealed no major SUV deviations on PET
CONCLUSION
CONCLUSIONS
Independent AC of whole body [
Identifiants
pubmed: 32449036
doi: 10.1186/s13550-020-00644-y
pii: 10.1186/s13550-020-00644-y
pmc: PMC7246235
doi:
Types de publication
Journal Article
Langues
eng
Pagination
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