Improving MR image quality with a multi-task model, using convolutional losses

PURPOSE: During the acquisition of MRI data, patient-, sequence-, or hardware-related factors can introduce artefacts that degrade image quality. Four of the most significant tasks for improving MRI image quality have been bias field correction, super-resolution, motion-, and noise correction. Machi...

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Detalles Bibliográficos
Autores principales: Simkó, Attila, Ruiter, Simone, Löfstedt, Tommy, Garpebring, Anders, Nyholm, Tufve, Bylund, Mikael, Jonsson, Joakim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10544274/
https://www.ncbi.nlm.nih.gov/pubmed/37784039
http://dx.doi.org/10.1186/s12880-023-01109-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10544274/
https://www.ncbi.nlm.nih.gov/pubmed/37784039
http://dx.doi.org/10.1186/s12880-023-01109-z

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