Reconstruction techniques for cardiac cine MRI
The present survey describes the state-of-the-art techniques for dynamic cardiac magnetic
resonance image reconstruction. Additionally, clinical relevance, main challenges, and …
resonance image reconstruction. Additionally, clinical relevance, main challenges, and …
A kernel-based low-rank (KLR) model for low-dimensional manifold recovery in highly accelerated dynamic MRI
While many low rank and sparsity-based approaches have been developed for accelerated
dynamic magnetic resonance imaging (dMRI), they all use low rankness or sparsity in input …
dynamic magnetic resonance imaging (dMRI), they all use low rankness or sparsity in input …
Dynamic MRI using smoothness regularization on manifolds (SToRM)
We introduce a novel algorithm to recover real time dynamic MR images from highly under-
sampled kt space measurements. The proposed scheme models the images in the dynamic …
sampled kt space measurements. The proposed scheme models the images in the dynamic …
Robust self‐navigated body MRI using dense coil arrays
Purpose To develop a robust motion estimation method for free‐breathing body MRI using
dense coil arrays. Methods Self‐navigating pulse sequences can measure subject motion …
dense coil arrays. Methods Self‐navigating pulse sequences can measure subject motion …
Self‐gated fetal cardiac MRI with tiny golden angle iGRASP: A feasibility study
Purpose To develop and assess a technique for self‐gated fetal cardiac cine magnetic
resonance imaging (MRI) using tiny golden angle radial sampling combined with iGRASP …
resonance imaging (MRI) using tiny golden angle radial sampling combined with iGRASP …
Manifold learning via linear tangent space alignment (LTSA) for accelerated dynamic MRI with sparse sampling
The spatial resolution and temporal frame-rate of dynamic magnetic resonance imaging
(MRI) can be improved by reconstructing images from sparsely sampled-space data with …
(MRI) can be improved by reconstructing images from sparsely sampled-space data with …
Accelerated MRI of the fetal heart using compressed sensing and metric optimized gating
Purpose To develop and validate a method for accelerated time‐resolved imaging of the
fetal heart using a combination of compressed sensing (CS) and metric optimized gating …
fetal heart using a combination of compressed sensing (CS) and metric optimized gating …
Free‐breathing fetal cardiac MRI with doppler ultrasound gating, compressed sensing, and motion compensation
Background Fetal cardiovascular MRI complements ultrasound to assess fetal
cardiovascular pathophysiology. Purpose To develop a free‐breathing method for …
cardiovascular pathophysiology. Purpose To develop a free‐breathing method for …
Manifold recovery using kernel low-rank regularization: Application to dynamic imaging
In this paper, we introduce a novel kernel low-rank algorithm to recover free-breathing and
ungated dynamic MRI data from highly undersampled measurements. The image frames in …
ungated dynamic MRI data from highly undersampled measurements. The image frames in …
Bi-linear modeling of data manifolds for dynamic-MRI recovery
This paper puts forth a novel bi-linear modeling framework for data recovery via manifold-
learning and sparse-approximation arguments and considers its application to dynamic …
learning and sparse-approximation arguments and considers its application to dynamic …