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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

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