scholarly journals Determining the in vivo transverse relaxation time of GABA in the human brain at 7T

2012 ◽  
Vol 38 (5) ◽  
pp. 1224-1229 ◽  
Author(s):  
Jarunee Intrapiromkul ◽  
He Zhu ◽  
Ying Cheng ◽  
Peter B. Barker ◽  
Richard A.E. Edden
Keyword(s):  
Relaxation Time ◽  
Human Brain ◽  
Transverse Relaxation Time ◽  
Transverse Relaxation

In vivo estimation of transverse relaxation time constant (T2 ) of 17 human brain metabolites at 3T

2018 ◽  
Vol 80 (2) ◽  
pp. 452-461 ◽  
Author(s):  
Patrik O. Wyss ◽  
Claudio Bianchini ◽  
Milan Scheidegger ◽  
Ioannis A. Giapitzakis ◽  
Andreas Hock ◽  
...  
Keyword(s):  
Relaxation Time ◽  
Human Brain ◽  
Time Constant ◽  
Transverse Relaxation Time ◽  
Brain Metabolites ◽  
Transverse Relaxation ◽  
Relaxation Time Constant

scholarly journals Transverse relaxation time constants of the five major metabolites in human brain measured in vivo using LASER and PRESS at 3 T

2017 ◽  
Vol 79 (3) ◽  
pp. 1260-1265 ◽  
Author(s):  
Dinesh K. Deelchand ◽  
Edward J. Auerbach ◽  
Naoharu Kobayashi ◽  
Małgorzata Marjańska
Keyword(s):  
Relaxation Time ◽  
Human Brain ◽  
Transverse Relaxation Time ◽  
Transverse Relaxation ◽  
Time Constants ◽  
Relaxation Time Constants

scholarly journals In vivo measurement of transverse relaxation time in the mouse brain at 17.6 T

2012 ◽  
Vol 70 (4) ◽  
pp. 985-993 ◽  
Author(s):  
Firat Kara ◽  
Fu Chen ◽  
Itamar Ronen ◽  
Huub J. M. de Groot ◽  
Jörg Matysik ◽  
...  
Keyword(s):  
Relaxation Time ◽  
Mouse Brain ◽  
Transverse Relaxation Time ◽  
Transverse Relaxation ◽  
In Vivo Measurement

scholarly journals Estimation of the permeability of hydrocarbon reservoir samples using induced polarization and nuclear magnetic resonance methods

Geophysics ◽  
2019 ◽  
Vol 84 (2) ◽  
pp. MR73-MR84 ◽  
Author(s):  
Fatemeh Razavirad ◽  
Myriam Schmutz ◽  
Andrew Binley
Keyword(s):  
Nuclear Magnetic Resonance ◽  
Relaxation Time ◽  
Magnetic Resonance ◽  
Mechanistic Model ◽  
Transverse Relaxation Time ◽  
Induced Polarization ◽  
Permeability Model ◽  
Transverse Relaxation ◽  
Hydrocarbon Reservoir ◽  
Nuclear Magnetic

We have evaluated several published models using induced polarization (IP) and nuclear magnetic resonance (NMR) measurements for the estimation of permeability of hydrocarbon reservoir samples. IP and NMR measurements were made on 30 samples (clean sands and sandstones) from a Persian Gulf hydrocarbon reservoir. We assessed the applicability of a mechanistic IP-permeability model and an empirical IP-permeability model recently proposed. The mechanistic model results in a broader range of permeability estimates than those measured for sand samples, whereas the empirical model tends to overestimate the permeability of the samples that we tested. We also evaluated an NMR permeability prediction model that is based on porosity [Formula: see text] and the mean of the log transverse relaxation time ([Formula: see text]). This model provides reasonable permeability estimations for the clean sandstones that we tested but relies on calibrated parameters. We also examined an IP-NMR permeability model, which is based on the peak of the transverse relaxation time distribution, [Formula: see text] and the formation factor. This model consistently underestimates the permeability of the samples tested. We also evaluated a new model. This model estimates the permeability using the arithmetic mean of log transverse NMR relaxation time ([Formula: see text]) and diffusion coefficient of the pore fluid. Using this model, we improved estimates of permeability for sandstones and sand samples. This permeability model may offer a practical solution for geophysically derived estimates of permeability in the field, although testing on a larger database of clean granular materials is needed.

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