Purpose To develop a fast and flexible free‐breathing dynamic volumetric MRI technique,
iterative Golden‐angle RAdial Sparse Parallel MRI (iGRASP), that combines compressed …

Purpose To develop a novel framework for free‐breathing MRI called XD‐GRASP, which
sorts dynamic data into extra motion‐state dimensions using the self‐navigation properties …

Purpose To combine the specific advantages of the generalized autocalibrating partially
parallel acquisitions (GRAPPA) technique and sensitivity encoding (SENSE) with two …

Purpose This study proposes and evaluates a novel method for generating efficient
undersampling patterns for 3D Cartesian acquisition with compressed sensing (CS) and …

Magnetic resonance imaging (MRI) plays an important role in abdominal imaging. The high
contrast resolution offered by MRI provides better lesion detection and its capacity to provide …

Purpose For the application of compressive sensing to parallel MRI, Poisson disk sampling
(PDS) has been shown to generate superior results compared with random sampling …

Purpose To develop a framework to reconstruct large‐scale volumetric dynamic MRI from
rapid continuous and non‐gated acquisitions, with applications to pulmonary and dynamic …

Objective This study aimed to demonstrate feasibility of free-breathing radial acquisition with
respiratory motion-resolved compressed sensing reconstruction [extra-dimensional golden …

Purpose To evaluate an optimized k‐t‐space related reconstruction method for dynamic
magnetic resonance imaging (MRI), a method called PEAK‐GRAPPA (Parallel MRI with …

Objective The objectives of this study were to develop a new method for free-breathing
contrast-enhanced multiphase liver magnetic resonance imaging (MRI) using a combination …