20 citations · 63 across the 5 of their papers we have counts for
5 papers
BART Streams: Real-time Reconstruction Using a Modular Framework for Pipeline Processing
Philip Schaten, Moritz Blumenthal, Bernhard Rapp +2
Purpose: To create modular solutions for interactive real-time MRI using reconstruction algorithms implemented in BART. Methods: A new protocol for streaming of multidimensional ar…
Self-Supervised Learning for Improved Calibrationless Radial MRI with NLINV-Net
Moritz Blumenthal, Chiara Fantinato, Christina Unterberg-Buchwald +3
Purpose: To develop a neural network architecture for improved calibrationless reconstruction of radial data when no ground truth is available for training. Methods: NLINV-Net is a…
Assessment of Deep Learning Segmentation for Real-Time Free-Breathing Cardiac Magnetic Resonance Imaging at Rest and Under Exercise Stress
Martin Schilling, Christina Unterberg-Buchwald, Joachim Lotz +1
In recent years, a variety of deep learning networks for cardiac MRI (CMR) segmentation have been developed and analyzed. However, nearly all of them are focused on cine CMR under…
Free-Breathing Myocardial T1 Mapping using Inversion-Recovery Radial FLASH and Motion-Resolved Model-Based Reconstruction
Xiaoqing Wang, Sebastian Rosenzweig, Volkert Roeloffs +7
Purpose: To develop a free-breathing myocardial T1 mapping technique using inversion-recovery (IR) radial fast low-angle shot (FLASH) and calibrationless motion-resolved model-base…
Free-Breathing Liver Fat, and Field Mapping Using Multi-Echo Radial FLASH and Regularized Model-based Reconstruction
Zhengguo Tan, Christina Unterberg-Buchwald, Moritz Blumenthal +6
This work introduced a stack-of-radial multi-echo asymmetric-echo MRI sequence for free-breathing liver volumetric acquisition. Regularized model-based reconstruction was implement…