Advanced Diffusion Imaging: Application

Takashi Yoshiura¹
¹Kagoshima University, Japan

Synopsis

Keywords: Neuro: Brain, Neuro: Nervous system, Image acquisition: Modelling

Variety of advanced diffusion MRI techniques have been developed to obtain more detailed microstructural features than those provided by conventional diffusion-weighted imaging and diffusion tensor imaging. DKI was proposed to evaluate non-Gaussian diffusion. NODDI is a three-compartment model for the brain tissue. Recent introduction of OGSE diffusion-weighted sequences enables us to investigate diffusion time dependence of ADC, from which spatial intervals of diffusion-restricting barriers can be estimated. Double diffusion encoding and multi-dimensional diffusion MRI sequences may be useful to evaluate microscopic diffusion anisotropy and isotropic/anisotropic diffusion kurtosis.

Target audience

Clinicians, scientists, and technologists who are interested in introducing advanced diffusion MRI for clinical or research purposes.

Background and aim of this lecture

Since diffusion tensor imaging was developed in the mid-1990s, variety of advanced diffusion MR imaging/analysis techniques have been proposed. Each of those techniques has its strengths and limitations, which destine their suitable applications. In this educational lecture, we will discuss about some representative advanced diffusion techniques and their clinical and research applications.

Objectives

Understanding diffusional kurtosis imaging (DKI) and its clinical applications Understanding the neurite orientation dispersion and density imaging (NODDI) model and its applications Understanding the impact of diffusion time on diffusion-weighted imaging and ADC. Overview potential clinical applications of time dependent diffusion MRI. Understanding potential clinical relevance of microscopic diffusion anisotropy and isotropic/anisotropic diffusion kurtosis

Acknowledgements

No acknowledgement found.

References

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Proc. Intl. Soc. Mag. Reson. Med. 32 (2024)