Excerpt
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
- Quote paper
- Galina Bernhardt (Author), 2010, Noise Patterns in industrial Micro Computed Tomography, Munich, GRIN Verlag, https://www.grin.com/document/165584
Publish now - it's free
Comments