Validation Methods for Diffusion Weighted Magnetic Resonance Imaging in Brain White Matter

Promoters:
  
prof. dr. Yves De Deene
prof. dr. Ignace Lemahieu

Members of the examination board:
  
prof. dr. ir. Luc Taerwe (Ghent University, chairman)
prof. dr. Stefaan Vandenberghe (Ghent University, secretary)
prof. dr.  Eric Achten (Ghent University)
prof. dr. ir. Yves D’Asseler (Ghent University)
dr. Matt Hall (University College Londen, UK)
prof. dr. ir. Patrick Segers (Ghent University)
prof. dr. Jan Sijbers (University of Antwerp)
prof. dr. Ignace Lemahieu (Ghent University)
prof. dr. Yves De Deene (Ghent University)

Research funded by a Ph.D grant of the Institute for the Promotion of Innovation through Science and Technology in Flanders (IWT-Vlaanderen).
Ghent University
Faculty of Engineering
Department of Electronics and Information Systems
Medisip-IBBT-IBiTech
Blok B level 5
De Pintelaan 185
9000 Ghent
Belgium


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Acknowledgments
Table of Contents
Acronyms, Symbols and Notations
Samenvatting
Summary
Validation Methods for Diffusion Weighted Magnetic Resonance Imaging in
Brain White Matter

1 General Introduction
 1.1 Introduction
 1.2 Outline
2 Diffusion Weighted MRI in Brain White Matter
 2.1 Introduction
 2.2 Basic principles of magnetic resonance imaging
 2.3 The diffusion process
 2.4 Diffusion magnetic resonance imaging
 2.5 Examples of clinical applications of diffusion MRI
 2.6 Fibre tractography
 2.7 Conclusion
3 Design of anisotropic diffusion fibre phantoms
 3.1 Introduction
 3.2 Overview of hardware diffusion phantoms
 3.3 Manufacturing process of anisotropic diffusion fibre phantoms
 3.4 Comparison of fibre materials
 3.5 Results
 3.6 Discussion
 3.7 Conclusion and original contributions
4 Simulation and experimental verification of the diffusion in the interstitial space of a fibre phantom
 4.1 Introduction
 4.2 Theory of diffusion in porous media
 4.3 Random walk simulations of the diffusion in the interstitial space
 4.4 Experimental verification of the diffusion in an anisotropic fibre phantom
 4.5 Discussion
 4.6 Conclusion and original contributions
5 Validation of models for the diffusion weighted MRI signal in brain white matter
 5.1 Introduction
 5.2 Models for the diffusion in brain white matter
 5.3 Random walk simulations of the DW MRI signal in WM
 5.4 Results
 5.5 Discussion
 5.6 Conclusion and original contribution
6 Applications of anisotropic diffusion fibre phantoms
 6.1 Introduction
 6.2 Testing DWI sequences
 6.3 Head phantom
 6.4 A crossing fibre phantom for the validation of fibre tracking algorithms
 6.5 Conclusion and original contributions
7 Overall Conclusion
References
Publications in international journals
Publications in international conferences
Publications in national conferences

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