Results 251 to 260 of about 286,579 (299)

Comparison of twelve‐layer concentric object (TLCO) and Line segmentations methods to determine the renal corticomedullary sodium gradient (CMSG) with a 3 T MRI

open access: yesMagnetic Resonance in Medicine, EarlyView.
Abstract Purpose 23Na MRI is a functional imaging technique that facilitates measurements of the renal corticomedullary sodium gradient (CMSG). The CMSG can be determined by a region of interest (ROI) in the renal parenchyma along the corticomedullary axis (Line method) or by dividing the renal parenchyma into concentric layers, using the twelve‐layer ...
Patrik Jan Gallinnis   +11 more
wiley   +1 more source

Impact of Dripper Type and Irrigation Water Salinity on Soil Bulk Density, Growth, and Yield of Maize Crop. [PDF]

open access: yesPlants (Basel)
Nayyef HR   +5 more
europepmc   +1 more source

305. Utility of the MR Examination Using Turbo SE

open access: bronze, 1993
Dai Minakata   +5 more
openalex   +2 more sources

Saturation transfer MR fingerprinting for magnetization transfer contrast and chemical exchange saturation transfer quantification

open access: yesMagnetic Resonance in Medicine, EarlyView.
Abstract Purpose The aim of this study was to develop a saturation transfer MR fingerprinting (ST‐MRF) technique using a biophysics model‐driven deep learning approach. Methods A deep learning–based quantitative saturation transfer framework was proposed to estimate water, magnetization transfer contrast, and amide proton transfer (APT) parameters plus
Munendra Singh   +5 more
wiley   +1 more source

483. T1 estimation using Inversion Recovery Prepared Snapshot FLASH (Turbo-FLASH)

open access: bronze, 1993
Isao Yanagawa   +4 more
openalex   +2 more sources

Quantitative susceptibility mapping in magnetically inhomogeneous tissues

open access: yesMagnetic Resonance in Medicine, EarlyView.
Abstract Purpose Conventional quantitative susceptibility mapping (QSM) methods rely on simplified physical models that assume isotropic and homogeneous tissue properties, leading to artifacts and inaccuracies in biological tissues. This study aims to develop and evaluate DEEPOLE, a deep learning–based method that incorporates macroscopically ...
Thomas Jochmann   +6 more
wiley   +1 more source

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