Deep learning-guided weighted averaging for signal dropout compensation in diffusion-weighted imaging of the liver

no code implementations • 20 Feb 2022 • Fasil Gadjimuradov, Thomas Benkert, Marcel Dominik Nickel, Tobit Führes, Marc Saake, Andreas Maier

Methods: Given a set of image repetitions for a slice, a locally adaptive weighted averaging is proposed which aims to suppress the contribution of image regions affected by signal dropouts.

Towards Super-Resolution CEST MRI for Visualization of Small Structures

1 code implementation • 3 Dec 2021 • Lukas Folle, Katharian Tkotz, Fasil Gadjimuradov, Lorenz Kapsner, Moritz Fabian, Sebastian Bickelhaupt, David Simon, Arnd Kleyer, Gerhard Krönke, Moritz Zaiß, Armin Nagel, Andreas Maier

This work paves the way for the prospective investigation of neural networks for super-resolution CEST MRI and, followingly, might lead to a earlier detection of the onset of rheumatic diseases.

Anatomy SSIM +1

Robust partial Fourier reconstruction for diffusion-weighted imaging using a recurrent convolutional neural network

no code implementations • 19 May 2021 • Fasil Gadjimuradov, Thomas Benkert, Marcel Dominik Nickel, Andreas Maier

The algorithm is trained on DW liver data of 60 volunteers and evaluated on retrospectively and prospectively sub-sampled data of different anatomies and resolutions.

Rolling Shutter Correction