Tag Archive

Tag: #MRI

4 articles

September 17, 2017 • 19 min read • thesis

Part 4: Model Selection

This post investigates some common model selection methods, and does a detailed analysis of Akaike's Information Criterion (AIC) and how it performs on some diffusion MRI models.

#Diffusion #MRI #NLLS #Kurtosis #Ill-Conditioning #AIC #Model #Selection

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August 13, 2017 • 21 min read • thesis

Part 3: Bootstrap, Graphical Analysis, and Kurtosis Model

This post looks at the statistical bootstrap as a method to diagnose ill-conditioning, graphical analysis of regression fitting, and examines the kurtosis Diffusion MRI model.

#Diffusion #MRI #NLLS #Kurtosis #Ill-Conditioning #Bootstrap

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July 30, 2017 • 21 min read • thesis

Part 2: The Biexponential Model and Ill-Conditioning

An investigation on the biexponential model used with diffusion MRI and how it can exhibit large uncertainty in its parameter estimates

#Diffusion #MRI #NLLS #Biexponential #Ill-Conditioning

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May 28, 2017 • 20 min read • thesis

Part 1: My PhD Thesis Introduction

A blog post about the statistical modelling work I did during my PhD

#Diffusion #MRI #NLLS #Biexponential #Ill-Conditioning

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