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Matching and Homogenizing Convolution Kernels for Quantitative Studies in Computed Tomography

The sharpness of the kernels used for image reconstruction in computed tomography affects the values of the quantitative image features. We sought to identify the kernels that produce similar feature values to enable more effective comparison of images produced using scanners from different manufact...

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Détails bibliographiques
Publié dans:Invest Radiol
Auteurs principaux: Mackin, Dennis, Ger, Rachel, Gay, Skylar, Dodge, Cristina, Zhang, Lifei, Yang, Jinzhong, Jones, A. Kyle, Court, Laurence
Format: Artigo
Langue:Inglês
Publié: 2019
Sujets:
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC6449212/
https://ncbi.nlm.nih.gov/pubmed/30570504
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1097/RLI.0000000000000540
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