Enhanced spectral response in frequency-dependent diffusion measurements using a linear encoding model.

ABSTRACT:

Purpose

To devise a more comprehensive quantitative representation for spectral encodings in frequency-dependent diffusion measurements for improved estimation of D(ω).

Theory and methods

Whereas a spectral diffusion measurement is typically represented by a Dirac delta function at a single attributed frequency, spectral response is represented here by the encoding power in |Q(ω)|² over a set of contiguous frequency intervals. Using this representation paradigm, a linear encoding model is formulated wherein diffusivity over each interval can be estimated by inverting the encoding process from a set of measurements. This strategy was validated in in vivo human brain imaging experiments evaluating D(ω) up to 50 Hz over 10-Hz intervals using high-performance gradient

SUBMITTER: Michael ES 

PROVIDER: S-EPMC12501664 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature