Deep learning‐based motion quantification from k‐space for fast model‐based magnetic resonance imaging motion correction
Background Intra‐scan rigid‐body motion is a costly and ubiquitous problem in clinical
magnetic resonance imaging (MRI) of the head. Purpose State‐of‐the‐art methods for …
magnetic resonance imaging (MRI) of the head. Purpose State‐of‐the‐art methods for …
New theory and faster computations for subspace-based sensitivity map estimation in multichannel MRI
Sensitivity map estimation is important in many multichannel MRI applications. Subspace-
based sensitivity map estimation methods like ESPIRiT are popular and perform well …
based sensitivity map estimation methods like ESPIRiT are popular and perform well …
Speech production real‐time MRI at 0.55 T
Purpose To demonstrate speech‐production real‐time MRI (RT‐MRI) using a contemporary
0.55 T system, and to identify opportunities for improved performance compared with …
0.55 T system, and to identify opportunities for improved performance compared with …
Optimization of 3D dynamic speech MRI: Poisson‐disc undersampling and locally higher‐rank reconstruction through partial separability model with regional …
Purpose To improve the spatiotemporal qualities of images and dynamics of speech MRI
through an improved data sampling and image reconstruction approach. Methods For data …
through an improved data sampling and image reconstruction approach. Methods For data …
Self‐supervised learning for improved calibrationless radial MRI with NLINV‐Net
M Blumenthal, C Fantinato… - Magnetic …, 2024 - Wiley Online Library
Purpose To develop a neural network architecture for improved calibrationless
reconstruction of radial data when no ground truth is available for training. Methods NLINV …
reconstruction of radial data when no ground truth is available for training. Methods NLINV …
Single breath‐hold CINE imaging with combined simultaneous multislice and region‐optimized virtual coils
Purpose To investigate the feasibility of combining simultaneous multislice (SMS) and
region‐optimized virtual coils (ROVir) for single breath‐hold CINE imaging. Method ROVir is …
region‐optimized virtual coils (ROVir) for single breath‐hold CINE imaging. Method ROVir is …
Polynomial preconditioners for regularized linear inverse problems
This work aims to accelerate the convergence of proximal gradient methods used to solve
regularized linear inverse problems. This is achieved by designing a polynomial-based …
regularized linear inverse problems. This is achieved by designing a polynomial-based …
[HTML][HTML] Deep Learning Initialized Compressed Sensing (Deli-CS) in Volumetric Spatio-Temporal Subspace Reconstruction
Methods: Deep Learning Initialized Compressed Sensing (Deli-CS) is proposed to reduce
the reconstruction time of iterative reconstructions by “kick-starting” the iterative …
the reconstruction time of iterative reconstructions by “kick-starting” the iterative …
Cardiac DTI using short‐axis PROPELLER: A feasibility study
M Sadighi, D Kara, D Mai, K Nguyen… - Magnetic resonance …, 2024 - Wiley Online Library
Purpose We aimed to develop a free‐breathing (FB) cardiac DTI (cDTI) method based on
short‐axis PROPELLER (SAP) and M2 motion compensated spin‐echo EPI (SAP‐M2‐EPI) …
short‐axis PROPELLER (SAP) and M2 motion compensated spin‐echo EPI (SAP‐M2‐EPI) …
Reducing femoral flow artefacts in radial magnetic resonance fingerprinting of the prostate using region‐optimised virtual coils
High acceleration factors in radial magnetic resonance fingerprinting (MRF) of the prostate
lead to strong streak‐like artefacts from flow in the femoral blood vessels, possibly …
lead to strong streak‐like artefacts from flow in the femoral blood vessels, possibly …