Rita G. Nunes1
1Institute for Systems and Robotics - Lisboa and Department of Bioengineering, Instituto Superior Técnico, Universidade de Lisboa, Portugal
Synopsis
Keywords: Contrast mechanisms: Diffusion, Contrast mechanisms: Perfusion
This lecture will cover the basic principles of
diffusion and perfusion-weighted MRI. The basic diffusion sensitization module
will be presented, together with the apparent diffusion coefficient (ADC) and
diffusion tensor imaging (DTI) models. Different strategies to measure tissue perfusion will
be introduced, relying either on the injection of an external contrast agent as
in Dynamic Susceptibility Contrast-MRI (DSC-MRI) and Dynamic Contrast Enhanced-MRI
(DCE-MRI) or by using water as an endogenous contrast agent as in Arterial Spin
Labelling (ASL). Clinical examples will be briefly presented for both diffusion
and perfusion imaging including brain ischemic stroke and tumour imaging.
Objectives
At the end of this lecture participants should be able
to:
-
Describe the phenomenon of diffusion molecular motion
- Understand how sensitivity to diffusion can be
achieved in MRI
- Describe the basic principles of the three main
perfusion acquisition methods: Dynamic Susceptibility Contrast-MRI (DSC-MRI),
Dynamic Contrast Enhanced-MRI (DCE-MRI) and Arterial Spin Labelling (ASL)
- Identify the main advantages and pitfalls of the
different perfusion methods
- Understand the relevance of diffusion and perfusion
imaging in the clinical context, focusing on brain ischemic stroke and tumour
imaging
Description
This lecture will cover
the basic principles of diffusion and perfusion-weighted MRI. Firstly, the phenomenon of thermal molecular diffusion will be introduced. Identifying
the spatial and temporal scales of this phenomenon will enable attendees to
understand how the motion of water molecules can be used to probe tissue structures
that are much smaller than typical MRI voxel sizes. The physics behind the standard
bipolar diffusion-sensitization pulse sequence module will be presented, and
the b-value introduced. The simple apparent diffusion
coefficient and diffusion tensor imaging (DTI) models will be described, and
their main limitations discussed to motivate the need for the development of
more advanced diffusion models.
The main strategies used to
measure tissue perfusion with MRI will then be covered. One option is to inject
an external contrast agent such as gadolinium into the bloodstream. The
injection of a paramagnetic molecule modifies the local magnetic field, producing
a reduction in both the longitudinal (T1) and transverse (T2*) relaxation time
constants. Following injection, a series of images are acquired to track the
dynamic passage of the contrast agent from major arterial vessels to the
capillaries that feed the tissues. Depending on the selected pulse sequence,
the measured tissue signal will reflect mostly a T2* shortening, as in Dynamic
Susceptibility Contrast-MRI (DSC-MRI), or faster T1 recovery as in Dynamic
Contrast Enhanced-MRI (DCE-MRI). Although these approaches provide high
signal-to-noise ratios, not all patients tolerate external contrast agents and
the recent reports of long-term gadolinium deposition in brain tissues provide
further motivation for the development of alternative techniques. Arterial Spin
Labelling (ASL) uses water molecules as an endogenous contrast agent. It is
based on the inversion of a tissue slab distal to the field of view of interest sometime
prior to imaging. The slab should comprise a feeding artery, and inverted spins
in the blood will travel towards the imaging slice, exchanging from the
capillaries to the cerebral tissue, and providing sensitivity to perfusion.
In the final part of the
lecture, a few clinical examples will be presented for both diffusion and
perfusion imaging including brain ischemic stroke and tumour imaging. Acknowledgements
Funding from La Caixa
Foundation and FCT under the project LCF/PR/HP22/52320018; FCT through projects
LA/P/0083/2020 and UID/EEA/50009/2020.References
Review papers
Diffusion
Thomas DL, Lythgoe MF,
Pell GS, Calamante F and Ordidge RJ. (2000) The measurement of diffusion and
perfusion in biological systems using magnetic resonance imaging. Physics in
Medicine and Biology, 45: R97–138.
Le Bihan D, Lima M (2015)
Diffusion Magnetic Resonance Imaging: What Water Tells Us about Biological
Tissues. PLoS Biol. 23;13(7):e1002203
Kiselev VG. (2017) Fundamentals
of diffusion MRI physics. NMR Biomed. 30(3)
Martinez-Heras E,
Grussu F, Prados F, Solana E, Llufriu S. (2021) Diffusion-Weighted Imaging:
Recent Advances and Applications. Semin Ultrasound CT MR. 42(5):490-506
Perfusion
McGehee
BE, Pollock JM and Maldjian JA (2012), Brain perfusion imaging: How does it
work and what should I use? J. Magn. Reson. Imaging, 36: 1257-1272.
Wong
EC (2014), An introduction to ASL labeling techniques. J. Magn. Reson. Imaging, 40: 1-10.
Hernandez-Garcia L,
Aramendía-Vidaurreta V, Bolar DS, et al. Recent Technical
Developments in ASL: A Review of the State of the Art. (2022) Magn Reson Med,
88: 2021- 2042
Books
Diffusion
Johansen-Berg H and Behrens TEJ (Eds.). (2013)
Diffusion MRI, From Quantitative Measurement to In vivo Neuroanatomy, Academic
Press, 2nd Edition
Jones DK. (Eds.) (2010) Diffusion MRI:
Theory, Methods, and Applications, Oxford University Press
Perfusion
Barker P, Golay X and Zaharchuk G (Eds.).
(2013) Clinical
Perfusion MRI: Techniques and Applications. Cambridge: Cambridge University
Press