Physics in Motion: Diffusion Weighted Imaging - An Illustrated Review
Yi Xiong Ong1, Fang Yang Sim1, and Le Roy Chong1

1Changi General Hospital, Singapore, Singapore

Synopsis

An educational video which uses simple animations to describe the random thermal molecular motion that is diffusion, and how the diffusion process can be demonstrated with the magnetic resonance signal.

Purpose

The objective of this illustrative electronic presentation is to provide an understanding of the mechanics underpinning diffusion weighted imaging (DWI), and serves to guide parameter selection for optimal image formation. The hope is to leave the viewer intrigued and inspired to delve into the more advanced applications of DWI.

Introduction

Diffusion weighted imaging (DWI) is a commonly employed MRI technique in the clinical setting.

Often used in imaging of the brain and increasingly in other parts of the body, routine applications of DWI include its role in the early diagnosis of acute strokes, its use in parametric assessment of body and pelvic malignancies, with more advanced applications including fiber tractography in brain and musculoskeletal studies.

The DWI pulse sequence is sensitized to the random molecular thermal motion of water molecules. Diffusion pulses cause the MR signal to diminish in proportion to the random velocities of diffusing water molecules.

By modifying various parameters such as the b-value of the DWI sequence, the operator controls the extent of molecular motion that is demonstrated by these diffusion pulses.

Content

This educational exhibit begins by covering the basic physics of diffusion, starting with the history of Brownian motion and its explanation by Einstein.

The exhibit uses various computer graphics and animations to show how magnetic resonance spin echoes are sensitive to diffusion, with descriptions of the main gradient encoding schemes, pulse sequences and fat suppression techniques used to produce qualitative diffusion-weighted MRI and quantitative images of apparent diffusion coefficient (ADC) maps.

Commonly encountered artifacts are described, such as geometrical distortion and eddy current artifacts along with tips to minimize their effects.

This is followed by a brief exploration of monoexponential and multiexponential modelling of biological processes involved in diffusion, including perfusion and the concept of intravoxel incoherent motion.

The exhibit concludes with a glimpse into diffusion anisotropy and an introduction to diffusion tracking imaging (DTI).

Acknowledgements

The authors would like to acknowledge the staff of the Department of Radiology, Changi General Hospital for their keen interest in our endeavor and supplemented our work with useful feedback and advice.

References

Bihan, D.L., Poupon, C., Amadon, A., Leithmonnier, F., (2006) ‘Artifacts and Pitfalls in Diffusion MRI’ in Journal of Magnetic Resonance Imaging. 24(-), pp. 478-488

Crawley, A.P., Poublanc, J., Ferrari, P., Roberts, T.P.L., (2003) ‘Basics of diffusion and perfusion MRI’ in Applied Radiology. 32(4), pp. 13-23

Poustchi-Amin, M., Mirowitz, S.A., Brown, J.J., McKinstry, R.C., Li, T., (2001) ‘Principles and Applications of Echo-planar imaging: A Review for the General Radiologist’ in RadioGraphics. 21(-), pp.767-779

Westbrook, C., Roth, C. and Talbot, J., (2008) MRI in Practice. 3rd ed Chelsea, Blackwell Science Ltd


Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
2663