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Table of contents
Contents
List of Figures
List of Tables
Glossary
INTRODUCTION
1 CONTEXT
1.1 Clinical context
1.1.1 History of cerebral microbleeds
1.1.2 CMBs denition on MRI
1.1.3 Clinical relevance
1.2 MR magnetic susceptibility and Phase MR image
1.3 State-of-the-art: identication and detection of CMBs
1.3.1 CMBs imaging techniques
1.3.2 Visual identication
1.3.3 Fully/semi automatic identication
1.4 Objectives
2 CMBs CHARACTERIZATION USING PHASE-CONTRAST
2.1 Requirements to process GRE phase images
2.2 INTRODUCTION
2.3 MATERIALS AND METHODS
2.3.1 Data acquisition
2.3.2 Internal eld computation with 2D harmonic ltering (2DHF)
2.3.3 Comparison with other ltering methods
2.3.4 Numerical simulation
2.3.5 Regularization parameter
2.4 RESULTS
2.4.1 Numerical Eciency
2.4.2 Simulation results
2.4.3 Results and comparison on clinical data
2.4.4 Application: Magnetic signature of CMBs and CMCs with 2DHF
2.5 DISCUSSION
2.6 ACKNOWLEDGMENTS
2.7 Conclusion
3 CLINICAL VALIDATION: A COMPARISON STUDY
3.1 INTRODUCTION
3.2 Material and Methods
3.2.1 Evaluation dataset
3.2.2 Methods
3.2.2.1 Susceptibility Weighted Imaging (SWI)
3.2.2.2 Advanced phase image (IFM and QSM)
3.2.3 Evaluation experiments
3.2.3.1 Rating comparison
3.2.3.2 Building-up of the reference
3.3 Results
3.3.1 Reference
3.3.2 Rating results: lesion-based point of view
3.3.3 Rating results: subject-type point of view
3.4 Discussion
3.5 ACKNOWLEDGMENTS
4 AUTOMATIC SEGMENTATION: Proof-of-concept
4.1 Introduction
4.2 Proof-of-concept design
4.3 Pre-processing
4.3.1 3D T1 segmentation
4.3.2 Ane registration
4.3.3 Intra cranial and cerebral mask calculation
4.4 PROOF-OF-CONCEPT: Automatic CMBs identication
4.4.1 Candidates selection: multi-contrast statistical thresholding
4.4.2 Classication
4.5 Experiment and preliminary results
4.5.1 Thresholding results
4.5.2 Classication results
4.6 Discussion & Perspectives
5 CONCLUSION & PERSPECTIVES
Bibliography
