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No abstract

Diffusion pore imaging might open a new window into pathologies by providing histology-like information non-invasively by estimating pore size and shape distributions. For current pore imaging approaches, closed pores filled with an NMR visible diffusing medium are assumed, while extraporal components and exchange are neglected, which limits applicability. We propose a method based on Gaussian phase approximation to suppress effects of extraporal fluids and transmembrane water exchange and compare the approach to a filter-based method. Thus, one main obstacle for in vivo applications is reduced, the required high gradient amplitudes may be obtained using local gradient coils in the future.