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Abstract #1314

Derivation of a suitable exchange fraction expression to model diffusion-driven exchange with MR measurements.

Alfredo Ordinola1, Evren Özarslan1, Yu Yin2, Ruiliang Bai3, and Magnus Herberthson4
1Department of Biomedical Engineering, Linköping University, Linköping, Sweden, 2Department of Chemistry, Zhejiang University, Hangzhou, China, 3School of Medicine, Zhejiang University, Hangzhou, China, 4Department of Mathematics, Linköping University, Linköping, Sweden

Synopsis

Keywords: Relaxometry, Relaxometry, Water exchange, diffusion physics

Motivation: Transmembrane water exchange in brain tissue is a process often modelled via the first order kinetics reaction (1OKR) expression. However, this expression does not account for diffusion dynamics, suggesting it is not suitable to describe diffusion-driven exchange.

Goal(s): Assess the difference between the 1OKR expression and the exchange fraction derived from a generally defined system.

Approach: The exchange fraction was derived considering geometry, and compartment-specific relaxation processes of a system via the diffusion-reaction equation.

Results: The derived exchange fraction features a multi-exponential recovery at short times and a mono-exponential decay at long times, both of which are not captured by the 1OKR expression.

Impact: The two additional features of the exchange fraction found in this work provide additional insight on a system’s microstructure and properties. This expression can therefore be the basis of new biophysical models which more accurately describe the water exchange process.

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Keywords