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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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Bibliographische Detailangaben
Veröffentlicht in:Invest Radiol
Hauptverfasser: Mackin, Dennis, Ger, Rachel, Gay, Skylar, Dodge, Cristina, Zhang, Lifei, Yang, Jinzhong, Jones, A. Kyle, Court, Laurence
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2019
Schlagworte:
Online Zugang: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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