Emerging Trends in Magnetic Resonance Fingerprinting for Quantitative Biomedical Imaging Applications: A Review
Magnetic resonance imaging (MRI) stands as a vital medical imaging technique, renowned
for its ability to offer high-resolution images of the human body with remarkable soft-tissue …
for its ability to offer high-resolution images of the human body with remarkable soft-tissue …
Artificial Intelligence for Neuro MRI Acquisition: A Review
Magnetic resonance imaging (MRI) has significantly benefited from the resurgence of
artificial intelligence (AI). By leveraging AI's capabilities in large-scale optimization and …
artificial intelligence (AI). By leveraging AI's capabilities in large-scale optimization and …
Deep image prior cine MR fingerprinting with B1+ spin history correction
Purpose To develop a deep image prior (DIP) reconstruction for B1+‐corrected 2D cine MR
fingerprinting (MRF). Methods The proposed method combines low‐rank (LR) modeling with …
fingerprinting (MRF). Methods The proposed method combines low‐rank (LR) modeling with …
Mitigating undersampling errors in MR fingerprinting by sequence optimization
DGJ Heesterbeek, K Koolstra… - Magnetic …, 2023 - Wiley Online Library
Purpose To develop a method for MR Fingerprinting (MRF) sequence optimization that takes
both the applied undersampling pattern and a realistic reference map into account. Methods …
both the applied undersampling pattern and a realistic reference map into account. Methods …
Optimized three‐dimensional ultrashort echo time: Magnetic resonance fingerprinting for myelin tissue fraction mapping
Quantitative assessment of brain myelination has gained attention for both research and
diagnosis of neurological diseases. However, conventional pulse sequences cannot directly …
diagnosis of neurological diseases. However, conventional pulse sequences cannot directly …
Multi‐echo single‐shot spectroscopy combined with simultaneous 2D model fitting for fast and accurate measurement of metabolite‐specific concentrations and T2 …
The purpose of the current study was to develop a novel single‐voxel MR spectroscopy
acquisition scheme to simultaneously determine metabolite‐specific concentrations and …
acquisition scheme to simultaneously determine metabolite‐specific concentrations and …
Efficient approximation of Jacobian matrices involving a non-uniform fast Fourier transform (NUFFT)
G Wang, JA Fessler - IEEE transactions on computational …, 2023 - ieeexplore.ieee.org
There is growing interest in learning Fourier domain sampling strategies (particularly for
magnetic resonance imaging, MRI) using optimization approaches. For non-Cartesian …
magnetic resonance imaging, MRI) using optimization approaches. For non-Cartesian …
Bayesian Cramér-Rao bound estimation with score-based models
The Bayesian Cramér-Rao bound (CRB) provides a lower bound on the mean square error
of any estimator in Bayesian inference under mild regularity conditions. It benchmarks the …
of any estimator in Bayesian inference under mild regularity conditions. It benchmarks the …
Efficient performance analysis and optimization of transient‐state sequences for multiparametric magnetic resonance imaging
M Fuderer, O van der Heide, H Liu… - NMR in …, 2023 - Wiley Online Library
In transient‐state multiparametric MRI sequences such as Magnetic Resonance Spin
TomogrAphy in Time‐domain (MR‐STAT), MR fingerprinting, or hybrid‐state imaging, the …
TomogrAphy in Time‐domain (MR‐STAT), MR fingerprinting, or hybrid‐state imaging, the …
Improved balanced steady-state free precession based MR fingerprinting with deep autoencoders
Magnetic Resonance (MR) Fingerprinting is an emerging transient-state imaging paradigm,
which enables the quantization of multiple MR tissue parameters in a single experiment …
which enables the quantization of multiple MR tissue parameters in a single experiment …