Multi-Contrast MRI Image Synthesis Using Switchable Cycle-Consistent Generative Adversarial Networks

Multi-contrast MRI images use different echo and repetition times to highlight different tissues. However, not all desired image contrasts may be available due to scan-time limitations, suboptimal signal-to-noise ratio, and/or image artifacts. Deep learning approaches have brought revolutionary adva...

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Detalles Bibliográficos
Autores principales: Zhang, Huixian, Li, Hailong, Dillman, Jonathan R., Parikh, Nehal A., He, Lili
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9026507/
https://www.ncbi.nlm.nih.gov/pubmed/35453864
http://dx.doi.org/10.3390/diagnostics12040816

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9026507/
https://www.ncbi.nlm.nih.gov/pubmed/35453864
http://dx.doi.org/10.3390/diagnostics12040816

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