Results 101 to 110 of about 17,625 (278)
ABSTRACT Purpose To demonstrate the synergy of undersampled radial 2in1‐RARE‐EPI acquisition and nonlinear model‐based reconstruction for accelerated and simultaneous T2, T2*, and R2′ mapping in brains of patients with multiple sclerosis (MS). Methods 2in1‐RARE‐EPI combines a RARE module with an EPI module to capture T2 and T2* information.
Jose Raul Velasquez Vides +16 more
wiley +1 more source
An oversampling-undersampling strategy for large-scale data linkage
Effective record linkage in big data, particularly in imbalanced datasets, is a critical yet highly challenging task due to the inherent complexity involved.
Hossein Hassani +4 more
doaj +1 more source
ABSTRACT Purpose To investigate the feasibility of zero‐shot self‐supervised learning reconstruction for reducing breath‐hold times in magnetic resonance cholangiopancreatography (MRCP). Methods Breath‐hold MRCP was acquired from 11 healthy volunteers on 3T scanners using an incoherent k‐space sampling pattern, leading to a 14‐s acquisition time and an
Jinho Kim +2 more
wiley +1 more source
Undersampling correction methods to control γ-dependence for comparing β-diversity between regions
Measures of β-diversity are known to be highly constrained by the variation in γ-diversity across regions (i.e., γ-dependence), making it challenging to infer underlying ecological processes.
Yan, Chuan +5 more
core +1 more source
Laterally Oscillating Trajectory for Undersampling Slices: LOTUS
ABSTRACT Purpose While spiral sampling offers SNR advantages for diffusion MRI, its acceleration with simultaneous multislice remains relatively unexplored. This study introduces Laterally Oscillating Trajectory for Undersampling Slices (LOTUS), which is a 3D spiral‐like k‐space trajectory that aims to minimize g‐factor via controlled incoherent ...
Mayuri Sothynathan +2 more
wiley +1 more source
Nonlinear modulation with low-power sensor networks using undersampling
Nonlinear modulation is a promising technique for ultrasonic non-destructive damage identification. A wireless sensor network is ideally suited to monitor large structures using nonlinear modulation in a cost-efficient manner.
Oppermann, Peter +3 more
core +1 more source
ABSTRACT Purpose To develop a phase‐corrected time‐interleaved multi‐echo gradient echo Cartesian acquisition with spiral profile ordering (TIMGRECASPR) for abdominal large‐FOV proton density fat fraction (PDFF) mapping at 3 T, demonstrating its sampling flexibility and inherent self‐gating capabilities at high isotropic resolutions.
Philipp Braun +7 more
wiley +1 more source
ABSTRACT The inherently slow acquisition speed of MRI makes abdominal imaging highly sensitive to respiratory motion artifacts. Since the early days of MRI, the development of respiratory motion compensation techniques has been an active research topic, and this field has seen substantial progress.
Li Feng, Hersh Chandarana
wiley +1 more source
ABSTRACT Purpose To enable flexible dynamic and DCE MRI with low acoustic noise and high spatiotemporal resolution using zero echo time (ZTE) imaging. Methods This work proposes Arc‐ZTE, a technique in which the readout gradients of ZTE are continuously‐slewed to form arcs in k‐space that are sequentially rotated to yield an incoherent trajectory ...
Shreya Ramachandran +5 more
wiley +1 more source
View Order With Arbitrary Center Echoes
ABSTRACT Purpose To provide explicit, vendor‐independent view‐order constructions that enable selection of an arbitrary center echo in multi‐shot imaging, with a focus on RARE and MPRAGE. Methods Vendor‐independent view‐order methods were developed to assign echo and shot indices to a prescribed set of phase encodes, enabling explicit selection of the ...
Henric Rydén +4 more
wiley +1 more source

