Learning effects in visual grading assessment of model-based reconstruction algorithms in abdominal Computed Tomography

OBJECTIVES: Images reconstructed with higher strengths of iterative reconstruction algorithms may impair radiologists’ subjective perception and diagnostic performance due to changes in the amplitude of different spatial frequencies of noise. The aim of the present study was to ascertain if radiolog...

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Detalles Bibliográficos
Autores principales: Kataria, Bharti, Öman, Jenny, Sandborg, Michael, Smedby, Örjan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10189366/
https://www.ncbi.nlm.nih.gov/pubmed/37207049
http://dx.doi.org/10.1016/j.ejro.2023.100490

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10189366/
https://www.ncbi.nlm.nih.gov/pubmed/37207049
http://dx.doi.org/10.1016/j.ejro.2023.100490

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