摘要
1 Introduction
1.1 Introduction to PET imaging
1.1.1 Principle of PET
1.1.2 Physical Constraints on Quantitation
1.1.3 Radiochemistry
1.2 PET data analyze
1.2.1 Modeling
1.2.2 Empirical Versus Model-Based Methods
1.2.3 Reversible and Irreversible Binding
1.2.4 Compartments, Fractional Rate Constants, and Distribution Volume
1.2.5 Kinetic, Graphical, and Equilibrium Methods
2 Overview of System
2.1 Introduction
2.2 Flowchart
2.3 Construct of atlas
3 Theory used in the system
3.1 Smoothing
3.2 Segmentation
3.3 Registration in same modality
3.3.1 Object function
3.3.2 Optimization method
3.3.3 Constraining to be rigid body
3.4 Co-registration based on Mutual information
3.4.1 Basic definition
3.4.2 Mutual information in image registration
3.4.3 Implementation of algorithm
3.5 Normalization
3.5.1 Affined spatial normalization
3.5.2 Non-linear spatial normalization
3.6 Find sulcus by Curvature
3.6.1 Surface curvature
3.6.2 Flowchart to find sulcus point
3.6.3 Find sulcus line by curvature
3.7 Refine ROI by gray matter
4 Implement and validation of the system
4.1 Implement
4.1.1 Normalization and segmentation
4.1.2 3D point selection
4.1.3 Find sulci
4.1.4 Registration based on sulci
4.1.5 Refine by GM
4.1.6 Transform ROI to PET
4.2Validation
4.2.1Data
4.2.2 Visual validation
4.2.3 Assessment of VOI values
4.3 Discussion
5 Reference
致谢
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