High‐fidelity fast volumetric brain MRI using synergistic wave‐controlled aliasing in parallel imaging and a hybrid denoising generative adversarial network (HDnGAN)
Medical Physics2021Vol. 49(2), pp. 1000–1014
Citations Over TimeTop 20% of 2021 papers
Ziyu Li, Qiyuan Tian, Chanon Ngamsombat, Samuel Cartmell, John Conklin, Augusto Lio M. Gonçalves Filho, Wei‐Ching Lo, Guangzhi Wang, Kui Ying, Kawin Setsompop, Qiuyun Fan, Berkin Bilgic̦, Stephen Cauley, Susie Y. Huang
Abstract
HDnGAN provides robust and feasible denoising while preserving rich textural detail in empirical volumetric MRI data. Our study using empirical patient data and systematic evaluation supports the use of HDnGAN in combination with modern fast imaging techniques such as Wave-CAIPI to achieve high-fidelity fast volumetric MRI and represents an important step to the clinical translation of GANs.
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