Complexities of deep learning-based undersampled MR image reconstruction

Artificial intelligence has opened a new path of innovation in magnetic resonance (MR) image reconstruction of undersampled k-space acquisitions. This review offers readers an analysis of the current deep learning-based MR image reconstruction methods. The literature in this field shows exponential...

Descripción completa

Detalles Bibliográficos
Autores principales: Noordman, Constant Richard, Yakar, Derya, Bosma, Joeran, Simonis, Frank Frederikus Jacobus, Huisman, Henkjan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2023
Materias:
Narrative Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10547669/
https://www.ncbi.nlm.nih.gov/pubmed/37789241
http://dx.doi.org/10.1186/s41747-023-00372-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10547669/
https://www.ncbi.nlm.nih.gov/pubmed/37789241
http://dx.doi.org/10.1186/s41747-023-00372-7

Ejemplares similares