Galit Saar1
1BCF, Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel
Synopsis
This talk will cover the basic physics of diffusion MRI and how it can be used
to study tissue microstructure. We will learn how to measure diffusion in MRI
and the various parameters that effect diffusion measurements, such as b-value
and diffusion gradient directions, and how to obtain DWI images and ADC maps.
Finally, we will present the concept of diffusion tensor imaging and the
information obtained by it.
Diffusion MRI offers a non-invasive indirect method to study
tissue microstructure. It is very useful for clinical evaluation of tissues pathology,
such as cases of stroke, to detect tissue integrity changes and to compare the same
structure between different populations. In addition, it allows visualization
of microstructures, like white matter fiber organization, that later can be used
for surgery planning.
Water molecules undergo random thermal motion, known as random
walks, that is equal in all directions (i.e. isotropic). After time t,
the mean square displacement of the water molecules by distance x is described
by a Gaussian distribution and is proportional to diffusion coefficient D according
to <x2>=2Dt. In biological tissues, the diffusion is affected by the cellular
structure, and can be hindered
or restricted (i.e. anisotropic).
Diffusion imaging is acquired using the pulse gradient spin
echo sequence developed by Stejskal and Tanner in 1965 (1). A spin echo sequence
with the addition of two diffusion-encoded gradients applied in the same direction,
with the same magnitude and duration, G and δ respectively, and with Δ, the time interval
between the two gradients. When applying a gradient it will induce a temporary change
in the frequency of the spins, to create a phase shift. However, with diffusion,
during time Δ, water molecules will change
their position, which will cause changes in the spatial distribution of the spin’s
phase shift that will not be cancel out by the second gradient. Thus, not all
spins will align to create an echo, resulting in loss of signal. The signal
loss will be greater with faster diffusion.
Diffusion imaging depends on number of factors such as b-value
(by changing G, δ and Δ values) and gradient directions, to obtain
detailed information about tissue microstructure and to create diffusion-weighted
imaging (DWI) and ADC maps. While diffusion tensor imaging (DTI) provides a way
to study and visualize tissue organization, such as white matter in the brain,
by using the anisotropic nature of diffusion in tissues (2). DTI can be later applied
to fiber tracking (tractography). Acknowledgements
No acknowledgement found.References
1. Stejskal & Tanner, J Chem Phys (1965)
2. Basser et al
, Biophys j (1994)