Francisco J. Fritz

Longitudinal quantitative MRI of whole human brains during formaldehyde immersion, PBS wash-out, and tissue volume change

The paper quantifies how MRI parameters and tissue volume change in human brains during fixation and PBS immersion, providing a resource for linking in vivo MRI to postmortem data.

Diffusion tensor imaging of whole human brains during long-term formaldehyde fixation: Temporal evolution of diffusion parameters, post-mortem conditions, and dependence on tissue structure

This study examines how post-mortem tissue conditions and fixation progression affect diffusion tensor imaging parameters in whole human brains, finding that mean diffusivity is a robust marker while fractional anisotropy requires microstructure-aware interpretation.

ACID: A Comprehensive Toolbox for Image Processing and Modeling of Brain, Spinal Cord, and Post-mortem Diffusion MRI Data

ACID is an open-source MATLAB toolbox for processing and modeling diffusion MRI data from brain, spinal cord, and ex vivo specimens, incorporating artifact correction, biophysical models, and BIDS compatibility.

Deciphering the fibre-orientation independent component of R2* (R2,iso*) in the human brain with a single multi-echo gradient-recalled-echo measurement under varying microstructural conditions

This paper introduces a method to estimate the orientation-independent R2* (R2,iso*) from multi-echo MRI data, showing it works best with long echo times but fails with typical in-vivo protocols.

MESMERISED: Super-accelerating T1 relaxometry and diffusion MRI with STEAM at 7 T for quantitative multi-contrast and diffusion imaging

The paper introduces MESMERISED, a sequence that accelerates T1 relaxometry and diffusion MRI at 7 T, enabling efficient multi-contrast and diffusion imaging with high resolution and speed.

Fast quantification of uncertainty in non-linear diffusion MRI models for artifact detection and more power in group studies

This paper introduces a method to quantify uncertainty in diffusion MRI models, showing it improves artifact detection and statistical power in group studies.