Local adaptive filtering

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Table of contents

1 Introduction 
1.1 Background
1.1.1 Visualization techniques in clinical use
1.2 Objectives
1.3 Thesis outline
I Local adaptive filtering 
2 Local adaptive filtering 
2.1 Image orientation
2.1.1 Mapping requirements
2.1.2 Interpretation of the orientation tensor
2.2 Calculation of the control tensor
2.2.1 The m-function
2.2.2 The μ-function
2.3 Generation of the adaptive filter
3 Enhancement parameter setting tool, T-morph 
3.1 Initial parameter setting of the m-function
3.2 Initial parameter setting of the μ- function
3.3 Result of the parameter setting tool
3.4 Conclusions
II Visualization techniques 
4 Visualization techniques 
4.1 Multi-planar reformatting
4.2 Image-order volume rendering
4.2.1 Maximum intensity projection
4.3 Object-order volume rendering
5 Results visualization techniques 
5.1 Visualization with slices
5.1.1 3D enhancement in test volume
5.2 Visualization with MIP
5.2.1 Evaluation of test volume
5.2.2 Evaluation of MRA renal arteries
5.2.3 Evaluation of MRA cerebral arteries
5.3 Visualization with volume rendering
5.3.1 Evaluation of MRA renal arteries
5.3.2 Evaluation of MRA cerebral arteries
5.4 Conclusions
6 Discussion 
6.1 Future work
Bibliography