Results 201 to 210 of about 29,805 (265)

Simultaneous Acquisition of Magnetic Resonance Elastography (MRE) and Diffusion Tensor Imaging (DTI) Optimized for Human Brain

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Increase clinical acceptance of MRE and DTI by shortening the scan time by half and providing diffusive and mechanical property maps that are inherently co‐registered. This proof‐of‐concept study evaluates the simultaneous DTI‐MRE acquisition in the human brain and compares its results to conventional DTI and MRE measurements.
Shujun Lin, Bradley P. Sutton, Richard L. Magin, Aaron T. Anderson, Dieter Klatt   +4 more
wiley   +1 more source

Understanding Peelle's Pertinent Puzzle bias in generalized least squares regression through eigenspectrum analysis. [PDF]

Sci Rep
Walton NAW, Fritsch WN, Lewis AM, Forbes J, Neudecker D, Sobes V.   +5 more
europepmc   +1 more source

Fast and Robust Diffusion Posterior Sampling for MR Image Reconstruction Using the Preconditioned Unadjusted Langevin Algorithm

Magnetic Resonance in Medicine, EarlyView.
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, Tina Holliber, Jonathan I. Tamir, Martin Uecker   +3 more
wiley   +1 more source

Fast automated adjoints for spectral PDE solvers. [PDF]

Proc Natl Acad Sci U S A
Skene CS, Burns KJ.
europepmc   +1 more source

Four Directions, One Solution: Enabling Rapid Diffusion Tensor MRI for Ultra‐Low Field Using Deep Learning

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose This study revisits the tetrahedral encoding strategy originally proposed to accelerate Diffusion Tensor Magnetic Resonance Imaging (DT‐MRI) by reducing the requisite number of diffusion‐weighted measurements to four. We examine its practical limitations and explore how artificial intelligence (AI) can extend its utility. Specifically,
Joshua Mawuli Ametepe, James Gholam, Leandro Beltrachini, Mara Cercignani, Derek Kenton Jones   +4 more
wiley   +1 more source

Eigen-guided transformer: A data-driven approach for chronic kidney disease forecasting. [PDF]

PLoS One
Saeed F, Aldera S.
europepmc   +1 more source

Fully‐Constrained Variable Projection for Water‐Fat Models

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Variable projection (VARPRO) is an effective technique to reduce the dimensionality of least squares optimization problems through the elimination of linear parameters. For water‐fat models, constrained VARPRO variants have been proposed in the literature to ensure that water and fat components are aligned at TE = 0, thereby preventing
Carl Ganter, Jonathan Stelter, Louis Peyratoux, Dimitrios C. Karampinos, Oliver Bieri   +4 more
wiley   +1 more source

Linear stability and dispersive soliton propagation in nonlinear media subject to parabolic phase modulation. [PDF]

Sci Rep
Morgan M, Ahmed HM, Sayed M, Soliman M.
europepmc   +1 more source

Laterally Oscillating Trajectory for Undersampling Slices: LOTUS

Magnetic Resonance in Medicine, EarlyView.
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, Paul I. Dubovan, Corey A. Baron   +2 more
wiley   +1 more source

An Improved Two-Stage RARE Algorithm for Mixed Far-Field and Near-Field Source Localization Under Unknown Mutual Coupling with the Uniform Linear Sensor Array. [PDF]

Sensors (Basel)
Chen K, Deng K, Zhang J.
europepmc   +1 more source