Results 181 to 190 of about 645,575 (328)

Towards clinical implementation of T2-weighted cine imaging for intrafraction drift correction workflows on the 1.5 Tesla magnetic resonance-linear accelerator. [PDF]

open access: yesPhys Imaging Radiat Oncol
Meijers LTC   +13 more
europepmc   +1 more source

Optimized reconstruction of undersampled Dixon sequences using new memory‐efficient unrolled deep neural networks: HalfVarNet and HalfDIRCN

open access: yesMagnetic Resonance in Medicine, Volume 95, Issue 2, Page 1189-1204, February 2026.
Abstract Purpose Fat fraction (FF) quantification in individual muscles using quantitative MRI is of major importance for monitoring disease progression and assessing disease severity in neuromuscular diseases. Undersampling of MRI acquisitions is commonly used to reduce scanning time. The present paper introduces novel unrolled neural networks for the
Sandra Martin   +6 more
wiley   +1 more source

Deep Learning-Based Breath-Hold and Free-Breathing Cine MRI for Comprehensive Cardiac Evaluation. [PDF]

open access: yesKorean J Radiol
Wu Y   +9 more
europepmc   +1 more source

P147Reliability of single breath hold three-dimensional cine kat-ARC for the assessment of biventricular dimensions and function [PDF]

open access: bronze, 2019
Giuseppe Muscogiuri   +14 more
openalex   +1 more source

Extending real‐time MRI of the oral cavity using simultaneous multislice and compressed sensing

open access: yesMagnetic Resonance in Medicine, Volume 95, Issue 2, Page 881-896, February 2026.
Abstract Purpose To demonstrate a real‐time MRI (rtMRI) sequence that can image multiple slices simultaneously and apply them to image the dynamics of the oral cavity. Specifically, we demonstrate the imaging of tongue movement, speech, and swallowing. Methods We developed a radial rtMRI sequence with multiband excitation.
Isaac Watson   +5 more
wiley   +1 more source

3D Whole‐Heart Joint T1/T1ρ Mapping and Water‐Fat Imaging on a Clinical 0.55‐T Low‐Field Scanner

open access: yesNMR in Biomedicine, Volume 39, Issue 2, February 2026.
A 3D joint T1/T1ρ$$ \rho $$ mapping sequence was proposed at 0.55 T. Four interleaved T1 and T1ρ$$ \rho $$ encoded 3D volumes are acquired; images are reconstructed with nonrigid respiratory motion‐correction, low‐rank patch‐based denoising (HD‐PROST) and water‐fat separation; and T1/T1ρ$$ \rho $$ maps are estimated through dictionary matching.
Michael G. Crabb   +6 more
wiley   +1 more source

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