83 citations · 148 across the 11 of their papers we have counts for
11 papers
BART Online Open-Source Sequence Toolbox for Computational MRI
Daniel Mackner, Philip Schaten, Markus Huemer +4
Purpose In advanced computational MRI techniques, acquisition and reconstruction techniques are jointly designed. For reproducibility, it is therefore important to provide an open…
Fast and Robust Diffusion Posterior Sampling for MR Image Reconstruction Using the Preconditioned Unadjusted Langevin Algorithm
Moritz Blumenthal, Tina Holliber, Jonathan I. Tamir +1
Purpose: The Unadjusted Langevin Algorithm (ULA) in combination with diffusion models can generate high quality MRI reconstructions with uncertainty estimation from highly undersam…
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…
Phase-Pole-Free Images and Smooth Coil Sensitivity Maps by Regularized Nonlinear Inversion
Moritz Blumenthal, Martin Uecker
Purpose: Phase singularities are a common problem in image reconstruction with auto-calibrated sensitivities due to an inherent ambiguity of the estimation problem. The purpose of…
Model-Based Reconstruction for Joint Estimation of , and Field Maps Using Single-Shot Inversion-Recovery Multi-Echo Radial FLASH
Xiaoqing Wang, Nick Scholand, Zhengguo Tan +5
Purpose: To develop a model-based nonlinear reconstruction for simultaneous water-specific , , field and/or fat fraction (FF) mapping using single-shot in…
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…
Rational Approximation of Golden Angles: Accelerated Reconstructions for Radial MRI
Nick Scholand, Philip Schaten, Christina Graf +6
Purpose: To develop a generic radial sampling scheme that combines the advantages of golden ratio sampling with simplicity of equidistant angular patterns. The irrational angle bet…
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…
Bayesian MRI Reconstruction with Joint Uncertainty Estimation using Diffusion Models
Guanxiong Luo, Moritz Blumenthal, Martin Heide +1
We introduce a framework that enables efficient sampling from learned probability distributions for MRI reconstruction. Different from conventional deep learning-based MRI reconstr…
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…