Model-free approach to the interpretation of restricted and anisotropic self-diffusion in magnetic resonance of biological tissues

TL;DR

This paper introduces a model-free MRI method that improves microstructural tissue analysis by distinguishing different diffusion properties, enhancing specificity over traditional techniques.

Contribution

It applies NMR rotational correlation concepts to MRI diffusion data, providing a novel, model-independent way to quantify tissue microstructure.

Findings

Enhanced microstructural specificity in MRI

Applicable to complex tissues in tumors and brain

Improved differentiation of diffusion characteristics

Abstract

Magnetic resonance imaging (MRI) is the method of choice for noninvasive studies of micrometer-scale structures in biological tissues via their effects on the time/frequency-dependent ("restricted") and anisotropic self-diffusion of water. Traditional MRI relies on pulsed magnetic field gradients to encode the signal with information about translational motion in the direction of the gradient, which convolves fundamentally different aspects-such as bulk diffusivity, restriction, anisotropy, and flow-into a single effective observable lacking specificity to distinguish between biologically plausible microstructural scenarios. To overcome this limitation, we introduce a formal analogy between measuring rotational correlation functions and interaction tensor anisotropies in nuclear magnetic resonance (NMR) spectroscopy and investigating translational motion in MRI, which we utilize to convert data acquisition and analysis strategies from NMR of rotational dynamics in macromolecules to MRI of diffusion in biological tissues, yielding model-independent quantitative metrics reporting on relevant microstructural properties with unprecedented specificity. Our model-free approach advances the state-of-the-art in microstructural MRI, thereby enabling new applications to complex multi-component tissues prevalent in both tumors and healthy brain.