Fat-saturated image generation from multi-contrast MRIs using generative adversarial networks with Bloch equation-based autoencoder regularization

•Bloch equation-based autoencoder regularization GAN (BlochGAN).•BlochGAN uses multi-contrast MR images to generate other contrast images.•BlochGAN can learn the multi-contrast MR relationship based on the Bloch equation.•Performance of BlochGAN is quantitatively and qualitatively demonstrated.•Bloc...

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Veröffentlicht in:	Medical image analysis 2021-10, Vol.73, p.102198-102198, Article 102198
Hauptverfasser:	Kim, Sewon, Jang, Hanbyol, Hong, Seokjun, Hong, Yeong Sang, Bae, Won C., Kim, Sungjun, Hwang, Dosik
Format:	Artikel
Sprache:	eng
Schlagworte:	Autoencoder regularization Bloch equation Coders Feature extraction Geneartive adversarial networks Generative adversarial networks Image contrast Image processing Image synthesis Magnetic resonance Magnetic resonance image Magnetic resonance imaging Medical imaging Multi-contrast imaging Regularization Spine
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