Literature DB >> 26383247

Modified triexponential analysis of intravoxel incoherent motion for brain perfusion and diffusion.

Naoki Ohno1, Tosiaki Miyati1, Satoshi Kobayashi2, Toshifumi Gabata2.   

Abstract

BACKGROUND: To noninvasively obtain more detailed information on brain perfusion and diffusion using modified triexponential analysis.
METHODS: On a 3.0 Tesla MRI, diffusion-weighted imaging of the brain with multiple b-values was performed in healthy volunteers (n = 12). We derived perfusion-related, fast-free, and slow-restricted diffusion coefficients (Dp , Df , and Ds , respectively) and fractions (Fp , Ff , and Fs , respectively) in the frontal and occipital white matter, caudate nucleus, and putamen calculated from triexponential function by a two-step approach. Ds was initially determined using monoexponential function in b-values over 1000 s/mm(2) and was applied to triexponential function. Additionally, the literature value of the diffusion coefficient of free water at 37 °C was assigned to Df . Finally, Dp and fractions were derived using all b-values. Moreover, biexponential analysis was performed and compared with triexponential analysis. We also determined regional cerebral blood flow (rCBF) using arterial spin labeling and assessed its relation with each diffusion parameter.
RESULTS: Significant positive correlations between Dp and rCBF were found in the caudate nucleus (R = 0.84; P = 0.01) and putamen (R = 0.86; P = 0.01), whereas no diffusion parameters were significantly correlated with rCBF on biexponential analysis (P > 0.05 for all).
CONCLUSION: Diffusion analysis with triexponential function enables noninvasive gathering of more detailed information on brain perfusion and diffusion.
© 2015 Wiley Periodicals, Inc.

Entities:  

Keywords:  brain; cerebral blood flow; diffusion-weighted imaging; intravoxel incoherent motion; perfusion

Mesh:

Year:  2015        PMID: 26383247     DOI: 10.1002/jmri.25048

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  11 in total

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