Detecting and characterizing restricted diffusion with accessible magnetic field gradients

Abstract For over 50 years, diffusion magnetic resonance (dMR) has been employed in numerous studies on characterizing chemical compounds, porous media, and biological tissues. These studies have almost exclusively employed the Stejskal-Tanner (ST) pulse sequence, which is sensitive to the ensemble average propagator (EAP). EAP is a compromised version of the true diffusion propagator---a quantity that fully describes the diffusion process in any system and holds exquisite information that can be used to characterize complex samples. Recently, a new diffusion sensitization method was proposed, here referred to as PROP, and was shown to be capable of acquiring the true diffusion propagator in closed pores. However, its adequate use requires a large number of measurements and (consequently) a long acquisition time. Thus, its translation to, e.g., the clinical field, is challenging. Here, we propose a reduced PROP pulse sequence (rPROP) which offers various advantages over the ST sequence. rPROP excels at isolating restricted diffusion thanks to its inherently high diffusion-weighting, yielding an efficient free diffusion filter. We employ rPROP to study different samples, and compare its performance to ST measurements in terms of estimation accuracy and gradient amplitude requirements. Furthermore, we study the capability of rPROP to detect anisotropic diffusion in samples which predominantly feature isotropic diffusion. Finally, we present a method capable of acquiring the mean position distribution (analogous to the EAP attainable via ST data) of particles via MR measurements. We highlight that all signals and images presented in this work were acquired using a benchtop MRI scanner.

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Publication Details

Journal
PNAS Nexus
Published
2026-09-05
DOI
https://doi.org/10.1093/pnasnexus/pgag293
Primary Topic
Advanced Neuroimaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
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article

Detecting and characterizing restricted diffusion with accessible magnetic field gradients

Walker S. Jackson, Alfredo Ordinola, Evren Özarslan, Magnus Herberthson
PNAS Nexus
Advanced Neuroimaging Techniques and Applications
article

Detecting and characterizing restricted diffusion with accessible magnetic field gradients

Walker S. Jackson, Alfredo Ordinola, Evren Özarslan, Magnus Herberthson
article en

Abstract

Abstract For over 50 years, diffusion magnetic resonance (dMR) has been employed in numerous studies on characterizing chemical compounds, porous media, and biological tissues. These studies have almost exclusively employed the Stejskal-Tanner (ST) pulse sequence, which is sensitive to the ensemble average propagator (EAP). EAP is a compromised version of the true diffusion propagator---a quantity that fully describes the diffusion process in any system and holds exquisite information that can be used to characterize complex samples. Recently, a new diffusion sensitization method was proposed, here referred to as PROP, and was shown to be capable of acquiring the true diffusion propagator in closed pores. However, its adequate use requires a large number of measurements and (consequently) a long acquisition time. Thus, its translation to, e.g., the clinical field, is challenging. Here, we propose a reduced PROP pulse sequence (rPROP) which offers various advantages over the ST sequence. rPROP excels at isolating restricted diffusion thanks to its inherently high diffusion-weighting, yielding an efficient free diffusion filter. We employ rPROP to study different samples, and compare its performance to ST measurements in terms of estimation accuracy and gradient amplitude requirements. Furthermore, we study the capability of rPROP to detect anisotropic diffusion in samples which predominantly feature isotropic diffusion. Finally, we present a method capable of acquiring the mean position distribution (analogous to the EAP attainable via ST data) of particles via MR measurements. We highlight that all signals and images presented in this work were acquired using a benchtop MRI scanner.

PNAS Nexus
Linköping University (SE)
Openalex Percentile: Top 11%
Advanced Neuroimaging Techniques and Applications
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