A 3D Dense-UNet with multi-level SSIM loss reconstructs 4D perfusion and angiography from 50%-sampled interleaved crushed and non-crushed Hadamard te-pCASL data, achieving SSIM 97.3% (perfusion) and 96.2% (angiography) on synthetic test data.
Boosting snr and/or resolution of arterial spin label (ASL) imaging using multi-contrast approaches with multi-lateral guided filter and deep networks
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Fast Dynamic Perfusion and Angiography Reconstruction using an end-to-end 3D Convolutional Neural Network
A 3D Dense-UNet with multi-level SSIM loss reconstructs 4D perfusion and angiography from 50%-sampled interleaved crushed and non-crushed Hadamard te-pCASL data, achieving SSIM 97.3% (perfusion) and 96.2% (angiography) on synthetic test data.