Noise Patterns in industrial Micro Computed Tomography

Table of contents

Table of Figures

Table of Tables

1 Introduction
1.1 The Natural History Museum London (NHM)
1.1.1 The beginning of the British Museum (NHM London)
1.1.2 NHM in the 21st Century
1.2 Computed Tomography(CT) - Introduction
1.2.1 Industrial Computed Tomography
1.2.2 Micro-CT
1.2.3 ImageJ
1.3 Noise/Artefacts
1.3.1 Artefacts
1.3.2 Noise
1.4 Filters
1.4.1 Reasons for using a digital filter
1.4.2 High-passFilters
1.4.3 Low-passFilters
1.4.4 Kalman Stack Filter
1.4.5 Gaussian blurFilter
1.4.6 Kuwahara Filter

2 Project Assignment: Analysing noise pattern in Micro-CT
2.1 MaterialsandMethods
2.1.1 Metrls X-Tek HMX ST 225 CT System
2.1.2 Phantom Design
2.1.3 ImageJ plug-in Code
2.2 Description ofproject objectives: Parti, Part II and Part III
2.2.1 Part I: How do scan parameters affect noise?
2.2.2 Part II: Whatis the best type of noise reduction algorithm for CT?
2.2.3 Part III: How current, exposure and noise affect each other?
2.3 Summary and Analysis
2.3.1 Analysing pattern of the noise variation
2.3.2 Optmising parameters for noise reduction
2.3.3 Analysing current vs. exposure effect

3 Conclusionandfuturework
3.1 Insightfrom experiments
3.2 Insights from post-processing
3.3 Suggestionsforfuturework:

AppendixA

Plug-in Code

How to use the Plug-in

References