VQ-Wave is a physics-driven spatio-temporal neural network that learns to extract ventilation and perfusion maps from non-contrast lung MRI by training on simulated signals with amplitude modulations, frequency drifts, and noise, showing better stability than matrix pencil decomposition in phantoms,
Magnetic resonance lung function--a breakthrough for lung imaging and functional assessment? A phantom study and clinical trial
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VQ-Wave: A physics-driven spatio-temporal deep learning approach for non-contrast-enhanced lung ventilation and perfusion MRI
VQ-Wave is a physics-driven spatio-temporal neural network that learns to extract ventilation and perfusion maps from non-contrast lung MRI by training on simulated signals with amplitude modulations, frequency drifts, and noise, showing better stability than matrix pencil decomposition in phantoms,