Multimodal Brain Image Analysis
First International Workshop, MBIA 2011, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 18, 2011, Proceedings
Published on 25. September 2011
IX, 162 pages
978-3-642-24446-9 (ISBN)
Description
This book constitutes the refereed proceedings of the First International Workshop on Multimodal Brain Image Analysis, held in conjunction with MICCAI 2011, in Toronto, Canada, in September 2011.
The 15 revised full papers presented together with 4 poster papers were carefully reviewed and selected from 24 submissions. The objective of this workshop is to facilitate advancements in the multimodal brain image analysis field, in terms of analysis methodologies, algorithms, software systems, validation approaches, benchmark datasets, neuroscience, and clinical applications.
The 15 revised full papers presented together with 4 poster papers were carefully reviewed and selected from 24 submissions. The objective of this workshop is to facilitate advancements in the multimodal brain image analysis field, in terms of analysis methodologies, algorithms, software systems, validation approaches, benchmark datasets, neuroscience, and clinical applications.
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Tianming Liu | Dinggang Shen | LUIS IBANEZ
Multimodal Brain Image Analysis
First International Workshop, MBIA 2011, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 18, 2011, Proceedings
Book
09/2011
1st Edition
Springer
€53.49
Shipment within 7-9 days
Persons
Content
- Title
- Preface
- Organization
- Table of Contents
- Accounting for Random Regressors: A Unified Approach to Multi-modality Imaging
- Introduction
- Theory
- Methods and Results
- Single Voxel Simulations with Known True Variance Ratios
- Volumetric Imaging Simulation
- Empirical Demonstration of Model II Regression
- Discussion
- References
- Joint T1 and Brain Fiber Diffeomorphic Registration Using the Demons
- Introduction
- The Geometric Demons
- The Diffeomorphic Demons
- Adding Geometric Constraints to the Demons
- Calculation of uG for Point Sets.
- Defining G for Point sets.
- Joint T1 MRI and Brain Fiber Registration
- Data Description
- Experiments
- Influence of .
- Comparison with Scalar and Tensor Demons.
- Discussion
- Conclusion
- References
- Improving Registration Using Multi-channel Diffeomorphic Demons Combined with Certainty Maps
- Introduction
- Multi-channel Diffemorphic Demons with Weighted Averaging
- Incorporating Local Certainty
- Experiments and Results
- Evaluation Metrics
- Data Acquisition
- Data Pre-prcessing
- Evaluation
- Discussion
- References
- Identifying Neuroimaging and Proteomic Biomarkers for MCI and AD via the Elastic Net
- Introduction
- Materials and Methods
- Results
- Discussion
- References
- Heritability of White Matter Fiber Tract Shapes: A HARDI Study of 198 Twins
- Introduction
- Methods
- Subjects and Image Acquisition
- Fiber Tractography
- Image Registration
- Fiber Alignment
- Fiber Clustering
- Curve Matching
- Genetic Analysis
- Results
- Clustering
- Genetic Analyses
- Conclusion
- References
- Ordinal Ranking for Detecting Mild Cognitive Impairment and Alzheimer's Disease Based on Multimodal Neuroimages and CSF Biomarkers
- Introduction
- Methods
- Ordinal Ranking for Classification of CN, MCI-NC, MCI-C, and AD
- Feature Extraction and Selection
- Parameter Optimization and Bagging Classification
- Experiment Results
- Discussion and Conclusions
- References
- Manual Annotation, 3-D Shape Reconstruction, and Traumatic Brain Injury Analysis
- Introduction
- Methods
- Results
- Conclusion
- References
- Multi-Modal Multi-Task Learning for Joint Prediction of Clinical Scores in Alzheimer's Disease
- Introduction
- Method
- Multi-Task Feature Selection
- Multi-Modal Data Fusion
- Support Vector Regression
- Experiments
- Subjects and Settings
- Results
- Conclusion
- References
- Identification of Cortical Landmarks Based on Consistent Connectivity to Subcortical Structures
- Introduction
- Methods
- Overview, Data Acquisition and Preprocessing
- Subcortical Region Segmentation and Fiber Labelling
- Cortico-Subcortical Connectivity Patterns
- Consistent Cortical Landmark Identification
- Experimental Results
- Cortical Landmark Identification
- Evaluation of Cortical Landmarks by Fiber Connection Patterns
- Validation of Cortical Landmarks via Task-Based fMRI
- Conclusion
- References
- T1 Mapping, AIF and Pharmacokinetic Parameter Extraction from Dynamic Contrast Enhancement MRI Data
- Introduction
- Methods
- Calculating the Signal Ratio to Baseline Curve
- Extraction of the PK Parameters and T1 Values
- AIF Extraction
- Experiments and Results
- Conclusion
- References
- Ventricle Shape Analysis for Centenarians, Elderly Subjects, MCI and AD Patients
- Introduction
- Method
- Overview
- Materials and Pre-processing
- SPHARM Methods
- Results
- Results of Using Normal Brain as the Baseline
- Results of Using Centenarian Brains as the Baseline
- Volume Analysis Results
- Conclusion and Discussion
- References
- Accurate and Consistent 4D Segmentation of Serial Infant Brain MR Images
- Introduction
- Method
- Multi-modality Data Fitting Term
- Cortical Thickness Constraint Term
- Longitudinally Guided Level Set Segmentation
- Experimental Results
- Single-Modality vs. Multi-modality Segmentation
- Coupled Level Sets (3D) vs. the Proposed Method (4D)
- Conclusion
- References
- Two-Stage Multiscale Adaptive Regression Methods for Twin Neuroimaging Data
- Introduction
- Methods
- Structural Equation Model
- TwinMARM
- Results
- References
- Segmentation of Medical Images of Different Modalities Using Distance Weighted C-V Model
- Introduction
- The C-V Model
- Our Method
- WC-V Model
- Implementation
- Experiment Design
- Experiment Results
- Conclusion
- References
- Evaluation of Traumatic Brain Injury Patients Using a Shape-Constrained Deformable Model
- Introduction
- Methods
- Results
- Conclusion
- References
- Human Brain Mapping with Conformal Geometry and Multivariate Tensor-Based Morphometry
- Introduction
- Theoretical Background
- Riemann Surface
- Harmonic Maps
- Holomorphic 1-Form and Slit Mapping
- Ricci Flow
- Multivariate Tensor Based Morphometry
- Applications
- Experimental Results
- Effects of APOE4 Genotype
- Diagnostic Group Differences
- Conclusion and Future Work
- References
- Information-Theoretic Multi-modal Image Registration Based on the Improved Fast Gauss Transform: Application to Brain Images
- Introduction
- The IFGT-Based Image Registration Method
- Evaluating Entropy via Kernel Density Estimation
- Gradient-Based Entropy Minimization
- Applying IFGT in the Gradient-Based Entropy Minimization
- Image Registration Experiments
- Results
- Discussion
- References
- Simultaneous Brain Structures Segmentation Combining Shape and Pose Forces
- Introduction
- Segmentation Based on Shape and Pose Priors
- Overview of the Segmentation Algorithm
- Probabilistic Formulation
- Coupled Shape and Pose Priors for Multi-structure Objects
- Moments and the Computation of the Shape and Pose
- Gradient Flow of the Coupled Shape and Pose Prior
- Experimental Results
- Conclusion
- References
- Improved Tissue Segmentation by Including an MR Acquisition Model
- Introduction
- Methods
- Model of the Object
- Model of the MRI Acquisition
- Likelihood Function
- Regularization of the Solution
- Optimization
- Experiments and Results
- Phantom Experiment
- Brain MR Images
- Discussion and Conclusion
- References
- Author Index
