A comparative analysis of methods for estimating axon diameter using DWI

08/24/2013
by   Hamed Yousefi Mesri, et al.
0

The importance of studying the brain microstructure is described and the existing and state of the art non-invasive methods for the investigation of the brain microstructure using Diffusion Weighted Magnetic Resonance Imaging (DWI) is studied. In the next step, Cramer-Rao Lower Bound (CRLB) analysis is described and utilised for assessment of the minimum estimation error and uncertainty level of different Diffusion Weighted Magnetic Resonance (DWMR) signal decay models. The analyses are performed considering the best scenario through which, we assume that the models are the appropriate representation of the measured phenomena. This includes the study of the sensitivity of the estimations to the measurement and model parameters. It is demonstrated that none of the existing models can achieve a reasonable minimum uncertainty level under typical measurement setup. At the end, the practical obstacles for achieving higher performance in clinical and experimental environments are studied and their effects on feasibility of the methods are discussed.

READ FULL TEXT
research
07/11/2013

Fuzzy Fibers: Uncertainty in dMRI Tractography

Fiber tracking based on diffusion weighted Magnetic Resonance Imaging (d...
research
05/15/2019

Optimizing MRF-ASL Scan Design for Precise Quantification of Brain Hemodynamics using Neural Network Regression

Purpose: Arterial Spin Labeling (ASL) is a quantitative, non-invasive al...
research
07/26/2019

Bayesian Volumetric Autoregressive generative models for better semisupervised learning

Deep generative models are rapidly gaining traction in medical imaging. ...
research
06/09/2022

Learning Macroscopic Brain Connectomes via Group-Sparse Factorization

Mapping structural brain connectomes for living human brains typically r...

Please sign up or login with your details

Forgot password? Click here to reset