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Relationship between the diffusion time and the diffusion MRI signal observed at 17.2 tesla in the healthy rat brain cortex
Author(s) -
Pyatigorskaya Nadya,
Bihan Denis,
Reynaud Olivier,
Ciobanu Luisa
Publication year - 2014
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.24921
Subject(s) - diffusion , spin echo , effective diffusion coefficient , nuclear magnetic resonance , diffusion mri , signal (programming language) , pulse sequence , chemistry , pulse (music) , diffusion process , physics , magnetic resonance imaging , optics , medicine , computer science , thermodynamics , knowledge management , innovation diffusion , detector , radiology , programming language
Purpose To investigate the diffusion time dependency of water diffusion in cortical brain tissue. Methods We have combined an oscillating gradient spin‐echo (OGSE) and a pulse gradient spin echo (PGSE) spin‐echo sequence to acquire diffusion‐weighted MRI images in vivo in healthy rat brains over a wide range of diffusion times (1.9–29.2 ms) and estimated the parameters of the biexponential and cumulant expansion diffusion MRI signal models. Diffusion images were obtained at 17.2 Tesla with maximum gradient strength of 1000 mT/m allowing 40 b values up to approximately 4000 s/mm 2 . Results At all diffusion times the log plot of diffusion signal attenuation versus b value was curved, confirming that diffusion is not free, even at very short diffusion times. This suggests that the length scale of obstacles to diffusion must be smaller than the corresponding shortest observed diffusion distance (approximately 1.7 μm). The diffusion MRI signal was also not found in a steady‐state, even at our longest diffusion time (29.2 ms), suggesting some degree of segregation of water in pools. Conclusion Overall, the results showed that the parameters derived from the two diffusion models could not well be related to specific tissue features. More specific models must be developed taking into account diffusion signal behavior at high b values and short diffusion times. Magn Reson Med 72:492–500, 2014. © 2013 Wiley Periodicals, Inc.