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A Plug-and-Play Method for Guided Multi-contrast MRI Reconstruction based on Content/Style Modeling
Furthermore, its practicality is demonstrated on the NYU fastMRI DICOM dataset and two in-house multi-coil raw datasets, obtaining up to 32. 6% more acceleration over learning-based non-guided reconstruction for a given SSIM.
Prior-knowledge-informed deep learning for lacune detection and quantification using multi-site brain MRI
Lacunes of presumed vascular origin, also referred to as lacunar infarcts, are important to assess cerebral small vessel disease and cognitive diseases such as dementia.
Fast Dynamic Perfusion and Angiography Reconstruction using an end-to-end 3D Convolutional Neural Network
Hadamard time-encoded pseudo-continuous arterial spin labeling (te-pCASL) is a signal-to-noise ratio (SNR)-efficient MRI technique for acquiring dynamic pCASL signals that encodes the temporal information into the labeling according to a Hadamard matrix.
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