Results 221 to 230 of about 22,412 (268)

SNR‐efficient distortion‐free diffusion relaxometry imaging using accelerated echo‐train shifted echo‐planar time‐resolving imaging (ACE‐EPTI)

Magnetic Resonance in Medicine, 2022
To develop an efficient acquisition technique for distortion‐free diffusion MRI and diffusion‐relaxometry.
Zijing Dong, Fuyixue Wang, L. Wald, K. Setsompop   +3 more
semanticscholar   +1 more source

Nonmonotonic Superparamagnetic Behavior of the Ferritin Iron Core Revealed via Quantum Spin Relaxometry.

ACS Nano, 2022
Ferritin is the primary storage protein in our body and is of significant interest in biochemistry, nanotechnology, and condensed matter physics. More specifically within this sphere of interest are the magnetic properties of the iron core of ferritin ...
E. Grant, L. T. Hall, L. Hollenberg, Gawain McColl, D. Simpson   +4 more
semanticscholar   +1 more source

Dynamic NMR Relaxometry as a Simple Tool for Measuring Liquid Transfers and Characterizing Surface and Structure Evolution in Porous Media.

Langmuir, 2022
Porous media containing voids which can be filled with gas and/or liquids are ubiquitous in our everyday life: soils, wood, bricks, concrete, sponges, and textiles.
B. Maillet, R. Sidi-boulenouar, P. Coussot   +2 more
semanticscholar   +1 more source

Generalizability of Deep Learning Segmentation Algorithms for Automated Assessment of Cartilage Morphology and MRI Relaxometry

Journal of Magnetic Resonance Imaging, 2022
Deep learning (DL)‐based automatic segmentation models can expedite manual segmentation yet require resource‐intensive fine‐tuning before deployment on new datasets.
Andrew M Schmidt, Arjun D Desai, L. Watkins, Hollis A. Crowder, Marianne S. Black, Valentina Mazzoli, E. Rubin, Quin Lu, J. MacKay, R. Boutin, F. Kogan, G. Gold, B. Hargreaves, A. Chaudhari   +13 more
semanticscholar   +1 more source

SuperMAP: Deep ultrafast MR relaxometry with joint spatiotemporal undersampling

Magnetic Resonance in Medicine, 2022
To develop an ultrafast and robust MR parameter mapping network using deep learning.
Hongyu Li, Mingrui Yang, J. Kim, C. Zhang, R. Liu, Peizhou Huang, D. Liang, Xiaoliang Zhang, Xiaojuan Li, L. Ying   +9 more
semanticscholar   +1 more source

Multisliced ultrafast 2D relaxometry

Magnetic Resonance Imaging, 2010
By associating each slice in a spatially homogeneous sample with a different inversion-recovery delay time, multislice methods are used to reduce the acquisition times of 2D inversion-recovery T(1)-T(2) relaxation spectra to just a few minutes. The increased speed comes at the expense of reduced signal/noise and this is reflected most noticeably in ...
Luca, Venturi, Joshua, Warner, Brian, Hills   +2 more
openaire   +2 more sources

Field-cycling NMR relaxometry

Progress in Nuclear Magnetic Resonance Spectroscopy, 2004
AbstractFor Abstract see ChemInform Abstract in Full Text.
Rainer Kimmich, Esteban Anoardo
openaire   +2 more sources

Relaxometry and magnetometry of ferritin

Magnetic Resonance in Medicine, 1998
AbstractBy combining nuclear magnetic relaxometry on 39 ferritin samples with different iron loading with magnetometry, results were obtained that suggest a new interpretation of the core structure and magnetic properties of ferritin. These studies provide evidence that, contrary to most earlier reports, the ferritin core is antiferromagnetic (AFM ...
R A, Brooks, J, Vymazal, R B, Goldfarb, J W, Bulte, P, Aisen   +4 more
openaire   +2 more sources

Triple echo steady‐state (TESS) relaxometry

Magnetic Resonance in Medicine, 2013
PurposeRapid imaging techniques have attracted increased interest for relaxometry, but none are perfect: they are prone to static (B0) and transmit (B1) field heterogeneities, and commonly biased by T2/T1. The purpose of this study is the development of a rapid T1 and T2 relaxometry method that is completely (T2) or partly (T1) bias‐free.MethodsA new ...
Heule Rahel, Ganter Carl, Bieri Oliver
openaire   +3 more sources

Reproducibility and Repeatability of MR Fingerprinting Relaxometry in the Human Brain.

Radiology, 2019
Background Only sparse literature investigates the reproducibility and repeatability of relaxometry methods in MRI. However, statistical data on reproducibility and repeatability of any quantitative method is essential for clinical application.
Gregor Koerzdoerfer, R. Kirsch, Kecheng Liu, J. Pfeuffer, B. Hensel, Yun Jiang, D. Ma, M. Gratz, Peter Bär, W. Bogner, Elisabeth Springer, Pedro Lima Cardoso, L. Umutlu, S. Trattnig, M. Griswold, V. Gulani, M. Nittka   +16 more
semanticscholar   +1 more source