ArticleEJNMMI physics2024
Gamma camera imaging characteristics of
Article in EJNMMI physics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
4 citing papers in PubMed.
- Impact of dual-energy window scatter correction on technetium image quality across different energy windows in cadmium-zinc-telluride-based SPECT/CT.EJNMMI physics · 2026Article
- Investigation of the Partial Volume Effect in Pre-Dosimetry of Liver Tumors forMolecular imaging and radionuclide therapy · 2025Article
- Dosimetric study on radioembolization with 166Ho poly L-lactic acid microspheres: dead time effects on prediction power.EJNMMI physics · 2025Article
- Gamma camera imaging characteristics ofEJNMMI physics · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe administration of a
methodsPlanar and SPECT/CT images were obtained using a NEMA image quality phantom in different phantom setups and another body-shaped phantom with several inserts. The influence of collimator type, count statistics, dead time effects, isotope properties and patient obesity on spatial resolution, contrast recovery and the detectability of small activity accumulations was investigated. Furthermore, the effects of the imaging characteristics on personalized dosimetry are discussed.
resultsThe images with
conclusionsOur measurements demonstrate better scintigraphic imaging properties for
Indexed as
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.