Learning Apparent Diffusion Coefficient Maps from Accelerated Radial k-Space Diffusion-Weighted MRI in Mice using a Deep CNN-Transformer Model

1 code implementation • 6 Jul 2022 • Yuemeng Li, Miguel Romanello Joaquim, Stephen Pickup, Hee Kwon Song, Rong Zhou, Yong Fan

Purpose: To accelerate radially sampled diffusion weighted spin-echo (Rad-DW-SE) acquisition method for generating high quality apparent diffusion coefficient (ADC) maps.

Adaptive convolutional neural networks for k-space data interpolation in fast magnetic resonance imaging

no code implementations • 2 Jun 2020 • Tianming Du, Honggang Zhang, Yuemeng Li, Hee Kwon Song, Yong Fan

Deep learning in k-space has demonstrated great potential for image reconstruction from undersampled k-space data in fast magnetic resonance imaging (MRI).

Image Reconstruction