Quantitative evaluation of a deep learning-based framework to generate whole-body attenuation maps using LSO background radiation in long axial FOV PET scanners
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1619-7089
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Quantitative evaluation of a deep learning-based framework to generate whole-body attenuation maps using LSO background radiation in long axial FOV PET scanners ; day:19 ; month:7 ; year:2022 ; pages:1-13
European journal of nuclear medicine and molecular imaging ; (19.7.2022), 1-13
- Urheber
-
Sari, Hasan
Teimoorisichani, Mohammadreza
Mingels, Clemens
Alberts, Ian
Panin, Vladimir
Bharkhada, Deepak
Xue, Song
Prenosil, George
Shi, Kuangyu
Conti, Maurizio
Rominger, Axel
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s00259-022-05909-3
- URN
-
urn:nbn:de:101:1-2022100120091717656691
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:30 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Sari, Hasan
- Teimoorisichani, Mohammadreza
- Mingels, Clemens
- Alberts, Ian
- Panin, Vladimir
- Bharkhada, Deepak
- Xue, Song
- Prenosil, George
- Shi, Kuangyu
- Conti, Maurizio
- Rominger, Axel
- SpringerLink (Online service)
Ähnliche Objekte (12)
A deep learning-based whole-body solution for PET/MRI attenuation correction
High resolution detectors for whole-body PET scanners by using dual-ended readout
Method to generate artificial earthquake accelerations with time domain enhancement and attenuation characteristics
Whole-Body Motion Capture and Beyond : From Model-Based Inference to Learning-Based Regression
PET : Physics, Instrumentation, and Scanners
Quantitative analysis of flow effects on signal characteristics in volume-selective 1H spectroscopy – Theory and experiments on whole-body MRI scanners
Automated deep learning-based bone mineral density assessment for opportunistic osteoporosis screening using various CT protocols with multi-vendor scanners
Einsatz eines Scanners zur digitalen Rißbilderfassung
Evaluation of improved attenuation correction in whole-body PET/MR on patients with bone metastasis using various radiotracers
Using domain knowledge for robust and generalizable deep learning-based CT-free PET attenuation and scatter correction
Track-based detector alignment for PET scanners
Comparison and analysis of web vulnerability scanners
A deep learning-based whole-body solution for PET/MRI attenuation correction
High resolution detectors for whole-body PET scanners by using dual-ended readout
Method to generate artificial earthquake accelerations with time domain enhancement and attenuation characteristics
Whole-Body Motion Capture and Beyond : From Model-Based Inference to Learning-Based Regression
PET : Physics, Instrumentation, and Scanners
Quantitative analysis of flow effects on signal characteristics in volume-selective 1H spectroscopy – Theory and experiments on whole-body MRI scanners
Automated deep learning-based bone mineral density assessment for opportunistic osteoporosis screening using various CT protocols with multi-vendor scanners
Einsatz eines Scanners zur digitalen Rißbilderfassung
Evaluation of improved attenuation correction in whole-body PET/MR on patients with bone metastasis using various radiotracers
Using domain knowledge for robust and generalizable deep learning-based CT-free PET attenuation and scatter correction
Track-based detector alignment for PET scanners
Comparison and analysis of web vulnerability scanners
A deep learning-based whole-body solution for PET/MRI attenuation correction
High resolution detectors for whole-body PET scanners by using dual-ended readout
Method to generate artificial earthquake accelerations with time domain enhancement and attenuation characteristics
Whole-Body Motion Capture and Beyond : From Model-Based Inference to Learning-Based Regression
PET : Physics, Instrumentation, and Scanners
Quantitative analysis of flow effects on signal characteristics in volume-selective 1H spectroscopy – Theory and experiments on whole-body MRI scanners
Automated deep learning-based bone mineral density assessment for opportunistic osteoporosis screening using various CT protocols with multi-vendor scanners
Einsatz eines Scanners zur digitalen Rißbilderfassung
Evaluation of improved attenuation correction in whole-body PET/MR on patients with bone metastasis using various radiotracers
Using domain knowledge for robust and generalizable deep learning-based CT-free PET attenuation and scatter correction
Track-based detector alignment for PET scanners