41 citations · 130 across the 6 of their papers we have counts for
6 papers
Deep, Deep Learning with BART
Moritz Blumenthal, Guanxiong Luo, Martin Schilling +2
Purpose: To develop a deep-learning-based image reconstruction framework for reproducible research in MRI. Methods: The BART toolbox offers a rich set of implementations of calibra…
Model-Based Reconstruction for Simultaneous Multi-Slice T1 Mapping using Single-Shot Inversion-Recovery Radial FLASH
Xiaoqing Wang, Sebastian Rosenzweig, Nick Scholand +2
Purpose: To develop a single-shot multi-slice T1 mapping method by combing simultaneous multi-slice (SMS) excitations, single-shot inversion-recovery (IR) radial fast low-angle sho…
Preparatory data analysis for the reconstruction of real-time MRI data
H. Christian M. Holme
Real-time magnetic resonance imaging (MRI) poses unique challenges related to the speed of data acquisition and to the degree of undersampling necessary to achieve this speed. This…
Simple Auto-Calibrated Gradient Delay Estimation From Few Spokes Using Radial Intersections (RING)
Sebastian Rosenzweig, H. Christian M. Holme, Martin Uecker
Purpose: To develop a simple and robust tool for the estimation of gradient delays from highly undersampled radial k-space data. Theory: In radial imaging gradient delays induce pa…
Frequency-modulated SSFP with radial sampling and subspace reconstruction: A time-efficient alternative to phase-cycled bSSFP
Volkert Roeloffs, Sebastian Rosenzweig, H. Christian M. Holme +2
Purpose: A novel subspace-based reconstruction method for frequency-modulated balanced steady-state free precession (fmSSFP) MRI is presented. In this work, suitable data acquisiti…
Simultaneous Multi-Slice MRI using Cartesian and Radial FLASH and Regularized Nonlinear Inversion: SMS-NLINV
Sebastian Rosenzweig, H. Christian M. Holme, Robin N. Wilke +3
Purpose: The development of a calibrationless parallel imaging method for accelerated simultaneous multi-slice (SMS) MRI based on Regularized Nonlinear Inversion (NLINV), evaluated…