Jan Malte Oeschger

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.

Axisymmetric diffusion kurtosis imaging with Rician bias correction: A simulation study

This study compares axisymmetric diffusion kurtosis imaging with and without Rician bias correction, finding that the combination improves parameter estimation accuracy at low SNRs.

Calibration allows accurate estimation of the axonal volume fraction with diffusion MRI

The paper improves axonal volume fraction estimation in diffusion MRI by introducing linear calibration parameters, validated using ex-vivo mouse data and electron microscopy.

A representative reference for MRI-based human axon radius assessment using light microscopy

The paper introduces a CNN-based method to estimate MRI-visible effective axon radius using light microscopy data, showing higher accuracy than traditional arithmetic mean radius estimates.