Maryam Afzali

This paper introduces multiparametric diffusion MR spectroscopy to estimate cell-type-specific morphology in the human brain by combining diffusion-time-dependent encoding with double-diffusion-encoded spectroscopy.

This paper evaluates ZOOM as an alternative to ZOOMit for cardiac diffusion weighted imaging, showing reduced TE and aliasing artifacts.

This paper develops RCWLS for cardiac DKI to improve signal fitting by combining robust estimation with convexity constraints, showing it reliably captures expected kurtosis patterns and corrects corrupted regions.

This paper demonstrates the feasibility of cardiac diffusion kurtosis imaging (DKI) in humans using high gradient strength MRI, showing non-Gaussian water diffusion behavior and significant radial kurtosis differences.

The paper compares methods for computing orientationally-averaged diffusion-weighted MRI signals, finding that MAP-MRI provides better accuracy under low SNR and sparse sampling.

This paper identifies challenges in estimating spherical pore size in the human brain using diffusion MRI, highlighting noise biases, signal fraction limits, and sensitivity to cylindrical structures.

This paper introduces AMURA, a method to estimate diffusion scalar measures with reduced MRI acquisitions, showing improved performance over traditional techniques.