Impact of a Bayesian penalized likelihood reconstruction algorithm on image quality in novel digital PET/CT: clinical implications for the assessment of lung tumors.
- DOI
- 10.1186/s40658-018-0223-x
- Published
- 2018 Sep 26
- Container
- EJNMMI physics
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1186/s40658-018-0223-x,
title = {Impact of a Bayesian penalized likelihood reconstruction algorithm on image quality in novel digital PET/CT: clinical implications for the assessment of lung tumors.},
author = {Messerli M and Stolzmann P and Egger-Sigg M and Trinckauf J and D'Aguanno S and Burger IA and von Schulthess GK and Kaufmann PA and Huellner MW},
year = {2018},
journal = {EJNMMI physics},
doi = {10.1186/s40658-018-0223-x},
url = {https://doi.org/10.1186/s40658-018-0223-x}
}RIS
TY - JOUR TI - Impact of a Bayesian penalized likelihood reconstruction algorithm on image quality in novel digital PET/CT: clinical implications for the assessment of lung tumors. AU - Messerli M AU - Stolzmann P AU - Egger-Sigg M AU - Trinckauf J AU - D'Aguanno S AU - Burger IA AU - von Schulthess GK AU - Kaufmann PA AU - Huellner MW PY - 2018 JO - EJNMMI physics DO - 10.1186/s40658-018-0223-x UR - https://doi.org/10.1186/s40658-018-0223-x ER -
APA
M, M., P, S., M, E., J, T., S, D., IA, B., GK, V. S., PA, K., & MW, H. (2018). Impact of a Bayesian penalized likelihood reconstruction algorithm on image quality in novel digital PET/CT: clinical implications for the assessment of lung tumors.. EJNMMI physics. https://doi.org/10.1186/s40658-018-0223-x
Source records
- pubmed · retrieved 2026-11-10T20:11:04.752Z