718 citations
- Harvard UniversityUS102 papers
- Massachusetts Institute of TechnologyUS20 papers
- Massachusetts General HospitalUS17 papers
- University College LondonGB10 papers
- Brigham and Women's HospitalUS9 papers
- Athinoula A. Martinos Center for Biomedical ImagingUS8 papers
- Boston Children's MuseumUS8 papers
- Northeastern UniversityUS7 papers
- Centre National de la Recherche ScientifiqueFR6 papers
- Loyola University ChicagoUS6 papers
- University of LausanneCH6 papers
- University of PennsylvaniaUS6 papers
6 papers · 1 filter
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…
Rapid, High-resolution and Distortion-free Mapping of Fetal Brain using Multi-echo Radial FLASH and Model-based Reconstruction
Xiaoqing Wang, Hongli Fan, Zhengguo Tan +7
Purpose: To develop a rapid, high-resolution and distortion-free technique for simultaneous water-fat separation, and mapping of the fetal brain at 3T. Methods:…
HAITCH: A Framework for Distortion and Motion Correction in Fetal Multi-Shell Diffusion-Weighted MRI
Haykel Snoussi, Davood Karimi, Onur Afacan +2
Diffusion magnetic resonance imaging (dMRI) is pivotal for probing the microstructure of the rapidly-developing fetal brain. However, fetal motion during scans and its interaction…
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…
Magic DIAMOND: Multi-Fascicle Diffusion Compartment Imaging with Tensor Distribution Modeling and Tensor-Valued Diffusion Encoding
A. Reymbaut, A. Valcourt Caron, G. Gilbert +5
Diffusion tensor imaging provides increased sensitivity to microstructural tissue changes compared to conventional anatomical imaging but also presents limited specificity. To tack…