Results 171 to 180 of about 72,703 (318)
ABSTRACT Purpose The Unadjusted Langevin Algorithm (ULA) in combination with diffusion models can generate high quality MRI reconstructions with uncertainty estimation from highly undersampled k‐space data. However, sampling methods such as diffusion posterior sampling (DPS) or likelihood annealing suffer from long reconstruction times and the need for
Moritz Blumenthal +3 more
wiley +1 more source
Linear Invariant Systems Theory for Signal Enhancement
This paper discusses a linear time invariant (LTI) systems approach to signal enhancement via projective subspace techniques. It provides closed form expressions for the frequency response of data adaptive finite impulse response eigenfilters.
Lang, Elmar W. +5 more
core
Single‐Shot 2D Radial Echo Planar Imaging for Functional MRI
ABSTRACT Purpose To develop a novel single‐shot radial echo planar imaging (ss‐rEPI) technique for rapid, distortion‐free brain imaging in functional MRI experiments. Methods Radial multi‐gradient echo (radial mGRE) data were acquired on a 3T clinical scanner using a 2D ss‐rEPI readout with small golden‐angle rotations between echoes.
Christoph A. Rettenmeier +4 more
wiley +1 more source
ABSTRACT Purpose To develop a software‐based active electromagnetic interference (EMI) suppression (AES) framework on whole‐body multi‐channel MRI systems for reliable MRI and MR thermometry during MRI‐guided microwave ablation (MWA). Methods In addition to primary imaging coils, an unloaded standard body array coil was positioned outside the imaging ...
Qing Dai +5 more
wiley +1 more source
Bilinear Subspace Identification of Induction Motor Dynamic Characteristics
The inherent properties of the induction motor of multivariate, strong coupling and nonlinearity result that the mechanism model cannot describe motor characteristics accurately.
Yu HB(于海斌) +2 more
core
ABSTRACT Aims Purpose: Dictionary matching is a standard tool in quantitative MRI (qMRI), but typically lacks uncertainty quantification (UQ). This is critical when advanced reconstructions (e.g., compressed sensing, deep learning) introduce complex‐valued, spatially varying, and temporally correlated noise that violates standard assumptions of ...
Brian Toner +7 more
wiley +1 more source
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
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
Multimodal subspace independent vector analysis effectively captures latent relationships between brain structure and function. [PDF]
Li X +4 more
europepmc +1 more source
ABSTRACT This work presents a general framework for deriving the Young–Laplace equation and the Young's equations for an axisymmetric capillary bridge between two parallel plates by minimizing the system's total energy. These Young's equations naturally emerge as boundary conditions associated with the Young–Laplace equation.
Olivier Millet +3 more
wiley +1 more source

