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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Egile Nagusiak:	Huixian Zhang, Hailong Li, Jonathan R. Dillman, Nehal A. Parikh, Lili He
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	MDPI AG 2022-03-01
Saila:	Diagnostics
Gaiak:	artificial intelligence CycleGAN deep learning MR imaging pediatric brain switchable CycleGAN
Sarrera elektronikoa:	https://www.mdpi.com/2075-4418/12/4/816
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