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基于结构MRI的老化和癫痫脑部形态学改变研究

摘要第6-8页
Abstract第8-10页
Chapter 1 Introduction第21-31页
    1.1 Brain disorders第21页
    1.2 Aging第21-22页
    1.3 Epilepsy and Epileptic seizure第22-24页
        1.3.1 Temporal Lobe Epilepsy第22-23页
        1.3.2 Hippocampal Sclerosis第23-24页
    1.4 Neuroanatomy第24-25页
    1.5 Neuroimaging第25-28页
        1.5.1 Magnetic Resonance Imaging (MRI)第26页
        1.5.2 Neuroimaging biomarkers for epilepsy第26-27页
        1.5.3 Neuroimaging biomarkers for Alzheimer第27-28页
    1.6 Dissertation objectives第28-29页
    1.7 Main contribution and innovation points第29-30页
    1.8 Thesis overview第30-31页
Chapter 2 Background: Voxel Based Morphometry analysis第31-45页
    2.1 Introduction第31页
    2.2 Methodology第31-41页
        2.2.1 Pre-processing第32页
        2.2.2 Voxel-Based Morphometry第32-41页
    2.3 SVM classifier第41-44页
    2.4 Application of VBM第44-45页
Chapter 3 Age-related Gray and white Matter Changes in Normal Adults Brains第45-61页
    3.1 Introduction第45-46页
    3.2 Materials第46-49页
        3.2.1 Subjects and Image acquisition第46页
        3.2.2 Methodology第46-48页
        3.2.3 Statistical analysis第48-49页
    3.3 Results第49-57页
        3.3.1 Analysis of global differences in brain volume第49-54页
            3.3.1.1 The influence of age and gender on global brain volumes第49-52页
            3.3.1.2 The correlation between the global brain tissue volume changes and age第52-54页
        3.3.2 Analysis of regional differences in brain volume第54-57页
            3.3.2.1 Gray matter regional differences第54页
            3.3.2.2 White matter regional differences第54-57页
    3.4 Discussion第57-59页
        3.4.1 Gray matter differences第57-58页
        3.4.2 White matter differences第58-59页
    3.5 Conclusion第59-61页
Chapter 4 Structural MRI-Based Detection of Alzheimer's Disease using Feature Ranking and Classification Error第61-85页
    4.1 Introduction第61-63页
    4.2 Materials第63页
        4.2.1 MRI acquisition第63页
    4.3 CAD classification system第63-76页
        4.3.1 MRI data preprocessing第66页
        4.3.2 Feature extraction第66-67页
        4.3.3 Feature selection第67-75页
            4.3.3.1 Feature ranking第67-72页
            4.3.3.2 Classification error第72-74页
                4.3.3.2.1 Resubstitution error第72-73页
                4.3.3.2.2 Cross-validation error estimator第73-74页
            4.3.3.3 Optimal number of features based on the classification error第74-75页
        4.3.4 Data fusion among different feature ranking methods第75-76页
    4.4 Experimental results and discussion第76-81页
        4.4.1 VBM of GM analysis in AD versus HC第77-78页
        4.4.2 Performance of raw feature vectors第78页
        4.4.3 Performance of the proposed feature-selection method using feature ranking and classification error第78-80页
        4.4.4 Performnce of proposed data fusion among different feature ranking methods第80-81页
    4.5 Discussion第81-82页
    4.6 Performance comparison to other methods第82-83页
    4.7 Conclusion第83-85页
Chapter 5 Comparing CAT12 and VBM8 for Detecting Brain Morphological Abnormalities in Temporal Lobe epilepsy第85-97页
    5.1 Introduction第85-86页
    5.2 Experimental Procedures第86-89页
        5.2.1 Data collection第86-87页
        5.2.2 Methods and statistical analysis第87-89页
    5.3 Results第89-93页
        5.3.1 VBM analyses of the gray matter第89-91页
        5.3.2 The VBM analyses of the white matter (WM)第91-93页
    5.4 Discussion第93-94页
        5.4.1 GM alterations第93页
        5.4.2 WM alterations第93-94页
    5.5 Conclusions第94-97页
Chapter 6 Gray Matter and White Matter Abnormalities in Temporal Lobe Epilepsy Patients with and without Hippocampal Sclerosis第97-115页
    6.1 Introduction第97-98页
    6.2 Subjects and Methods第98-102页
        6.2.1 Subjects第98-100页
        6.2.2 MRI preprocessing第100-101页
        6.2.3 Statistical analysis第101-102页
    6.3 Results第102-111页
        6.3.1 VBM of GM analysis第102-104页
        6.3.2 VBM of WM analysis第104-106页
        6.3.3 Hippocampal and amygdala volumes by FreeSurfer第106-109页
        6.3.4 Regional relationship between GM and WM changes with disease duration第109-111页
    6.4 Discussion第111-114页
    6.5 Conclusion第114-115页
Chapter 7 Conclusion and Future work第115-117页
    7.1 Conclusion第115-116页
    7.2 Future Work第116-117页
Abbreviation第117-121页
Publications第121-123页
Acknowledgement第123-125页
References第125-140页

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