Double diffusion encoding and applications for biomedical imaging
Rafael N. Henriques, Marco Palombo, Sune N. Jespersen, Noam Shemesh,, Henrik Lundell, Andrada Ianu\c{s}

TL;DR
This review discusses double diffusion encoding (DDE) in diffusion MRI, highlighting its versatility and applications in probing tissue microstructure, with practical guidance for clinical and preclinical use.
Contribution
It provides a comprehensive overview of DDE methodologies, applications, and practical considerations, advancing understanding of its microstructural imaging capabilities.
Findings
DDE can probe compartment sizes and diffusion correlations.
DDE improves biophysical model robustness.
DDE enables intra-cellular diffusion studies via spectroscopy.
Abstract
Diffusion Magnetic Resonance Imaging (dMRI) is one of the most important contemporary non-invasive modalities for probing tissue structure at the microscopic scale. The majority of dMRI techniques employ standard single diffusion encoding (SDE) measurements, covering different sequence parameter ranges depending on the complexity of the method. Although many signal representations and biophysical models have been proposed for SDE data, they are intrinsically limited by a lack of specificity. Advanced dMRI methods have been proposed to provide additional microstructural information beyond what can be inferred from SDE. These enhanced contrasts can play important roles in characterizing biological tissues, for instance upon diseases (e.g. neurodegenerative, cancer, stroke), aging, learning, and development. In this review we focus on double diffusion encoding (DDE), which stands out…
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