Deep learning approximation of attenuation maps for myocardial perfusion SPECT with an IQ SPECT collimator
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
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In: EJNMMI Physics, 10, Artikel 49, S. 49-1-49-11
- Keyword
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Deep learning
- Event
-
Veröffentlichung
- (where)
-
Bochum
- (who)
-
Ruhr-Universität Bochum
- (when)
-
2023
- Creator
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Huxohl, Tamino
Patel, Gopesh
Zabel, Reinhard
Burchert, Wolfgang
- URN
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urn:nbn:de:hbz:294-110605
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:55 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Huxohl, Tamino
- Patel, Gopesh
- Zabel, Reinhard
- Burchert, Wolfgang
- Ruhr-Universität Bochum
Time of origin
- 2023
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Deep learning approximation of attenuation maps for myocardial perfusion SPECT with an IQ $$\varvec\cdot }}$$ · SPECT collimator
Value of attenuation correction in stress-only myocardial perfusion imaging using CZT-SPECT
Myocardial perfusion SPECT imaging, a practical guide
Breath-hold CT attenuation correction for quantitative cardiac SPECT
Ejection fraction in myocardial perfusion imaging assessed with a dynamic phantom: comparison between IQ-SPECT and LEHR
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SPECT, CT
IQ·SPECT technology and its clinical applications using multicenter normal databases
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Myocardial perfusion scintigraphy dosimetry: optimal use of SPECT and SPECT/CT technologies in stress-first imaging protocol
Unusual perfusion patterns on perfusion-only SPECT/CT scans in COVID-19 patients