Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011

Name: Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011 | 14th International Conference, Toronto, Canada, September 18-22, 2011, Proceedings, Part II
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14th International Conference, Toronto, Canada, September 18-22, 2011, Proceedings, Part II

Gabor Fichtinger Anne Martel Terry Peters(Herausgeber*in)

Springer (Verlag)

Erschienen am 22. September 2011

XXX, 699 Seiten

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Inhalt

Title
Preface
Organization
Table of Contents
Diffusion Weighted Imaging I
Longitudinal Change Detection: Inference on the Diffusion Tensor Along White-Matter Pathways
Introduction
Identifying White-Matter Fiber Bundles in DT Data
Fiber Clustering
Bundle Most Representative Tract
Inference on Fiber Bundles
Extraction of Tensor Populations Reflecting the Local Variability
Multivariate Statistical Estimation and Testing on Tensors
Results
Conclusions
References
Voxelwise Multivariate Statistics and Brain-Wide Machine Learning Using the Full Diffusion Tensor
Introduction
Methods
Application to Autism Spectrum Disorders (ASD)
Conclusion
References
Fiber Modeling and Clustering Based on Neuroanatomical Features
Introduction
Method
Neuroanatomical Features of Fibers
Bundle Modeling and Clustering
Experimental Results
Discussion
References
Probabilistic Clustering and Shape Modelling of White Matter Fibre Bundles Using Regression Mixtures
Introduction
Probabilistic Model for White Matter Trajectories
Basic Definitions
Model Definition
EM Algorithm for Mixture of Regression:
Methods
Implementation of Clustering Algorithm
Synthetic Data
In Vivo Data
Results and Discussion
References
Integrated Parcellation and Normalization Using DTI Fasciculography
Introduction
Methodology
Cross-Sectional Tractness Measure
Tract Optimization
Comparison Using Synthetic DTI Data
Experiments Using Real DTI
Conclusion
References
Predicting Functional Brain ROIs via Fiber Shape Models
Introduction
Materials and Methods
Data Acquisition and Pre-processing
Model Training
ROI Prediction Framework
Experimental Results
Evaluation and Validation via Task-Based fMRI Data
Application on ADNI-2 longitudinal DTI Data
Conclusion
References
Predictive Modeling of Cardiac Fiber Orientation Using the Knutsson Mapping
Introduction
Methods
Dataset Description and Preprocessing
Knutsson Mapping of Fiber Orientation
Nonlinear Predictive Modeling
Results
Conclusions
References
Sparse Multi-Shell Diffusion Imaging
Introduction
Compressive Sampling
Methods
From Single to Multiple Shells
Sparse Estimation
Experiments
Conclusion
References
Longitudinal Tractography with Application to Neuronal Fiber Trajectory Reconstruction in Neonates
Introduction
Approach
Modeling Local Fiber Orientations
State-Space Model
Results
Materials
Tractography
Single- and Multi-orientation Schemes
Conclusion
References
Quantitative Body DW-MRI Biomarkers Uncertainty Estimation Using Unscented Wild-Bootstrap
Introduction
Method
Diffusion Model Fitting
Heterogeneous Leverages Scaling
Wild-Bootstrap Estimation of the Model Uncertainty
Experimental Results
ACR Phantom Experiment
Human Subject Experiment
Conclusions
References
Axon Diameter Mapping in Crossing Fibers with Diffusion MRI
Introduction
Crossing-Fiber Tissue Model
Experiments and Results
Discussion
References
Detecting Structure in Diffusion Tensor MR Images
Introduction
Methods
First Order Operators
Second Order Operators
Feature Detectors
Results
Conclusion
References
Diffeomorphism Invariant Riemannian Framework for Ensemble Average Propagator Computing
Introduction
Riemannian Framework for EAPs
Implementation via Spherical Polar Fourier Imaging (SPFI)
Applications and Experiments
Conclusion
References
Assessment of Bias for MRI Diffusion Tensor Imaging Using SIMEX
Introduction
Theory
Diffusion Tensor Imaging
SIMEX Applied to DTI
Methods and Results
Discussion
References
Diffusion Weighted Imaging II
Impact of Radial and Angular Sampling on Multiple Shells Acquisition in Diffusion MRI
Introduction
EAP Based CS Reconstruction
Sampling Design
Jones
Generalized Jones
5 Sampling Schemes
Experimental Results
Conclusion
References
Super-Resolution in Diffusion-Weighted Imaging
Introduction
Material and Methods
Results
Discussion
References
Reconstruction of Fiber Trajectories via Population-Based Estimation of Local Orientations
Introduction
Approach
Modeling Local Fiber Orientations
Reconstructing Fiber Trajectories
Results
Synthesized Dataset
In Vivo Dataset
Conclusion
References
Segmenting Thalamic Nuclei: What Can We Gain from HARDI?
Introduction
Evaluating Benefits of the Q-Ball Model
Distance Maps
Influence of Model Parameters
Distance Statistics
Stability Analysis
Segmentation Based on Principal Directions
Evaluating Benefits of Acquiring HARDI Data
Conclusion
References
Resting State fMRI-Guided Fiber Clustering
Introduction
Materials and Methods
Overview
Multimodal Data Acquisition and Pre-processing
Fiber Clustering Based on Functional Coherence
Experimental Results
Identification of Functionally Coherent Fiber Bundles
Validation by Task-Based fMRI Data
Conclusion
References
Apparent Intravoxel Fibre Population Dispersion (FPD) Using Spherical Harmonics
Introduction
Theory
Fibre Population Dispersion (FPD)
A Distance Metric
Results
Synthetic Data
MICCAI 2009: Fibre Cup Phantom
Rat Spinal Cord Phantom
Conclusion
References
Feasibility and Advantages of Diffusion Weighted Imaging Atlas Construction in Q-Space
Introduction
Methods
Acquisition
Matching
Deformation and Averaging
Reconstructions
Results
The Atlas
Full Brain Fiber Tractography on fODF's Resulting from CSD
Parametermaps from DKI
Full 3D Signal Fit and the EAP from mq-DPI
Discussion and Conclusion
References
Susceptibility Distortion Correction for Echo Planar Images with Non-uniform B-Spline Grid Sampling: A Diffusion Tensor Image Study
Introduction
Methodology
Fieldmap Estimation
Adaptive B-spline Sampling Using Fieldmaps
Experimental Setup
Validation
Results
Tractography Results
Conclusions and Future Work
References
Probabilistic ODF Estimation from Reduced HARDI Data with Sparse Regularization
Introduction
Spherical Wavelets to Sparsely Represent F(r)
ODF Reconstruction from Sparse Representations
Response of SW ?_v,j(r) in the Space of Wave-Vectors q
Optimization Problem with l_p Regularization
Positivity Constraints on the Probabilistic ODF
Results
Conclusion
References
Sheet-Like White Matter Fiber Tracts: Representation, Clustering, and Quantitative Analysis
Introduction
Method
OrientationalMedial Surface Generation
Trajectory-Surface Distance Measure
Probabilistic Clustering
Experiments and Results
Conclusion
References
Diffusion Tensor Image Registration with Combined Tract and Tensor Features
Introduction
Method
Algorithm Framework
Tract-Guided Registration
Tensor-Guided Registration
Experimental Results
Conclusion
References
Probabilistic Tractography Using Q-Ball Modeling and Particle Filtering
Introduction
Proposed Method
Diffusion Model
Fiber Tracking Model
Densities
Results
Fiber Cup
In-vivo Data
Discussion
References
Bessel Fourier Orientation Reconstruction: An Analytical EAP Reconstruction Using Multiple Shell Acquisitions in Diffusion MRI
Introduction
Bessel Fourier Orientation Reconstruction
Estimation of EAP
Implementation of Methods
Results on Synthetic and Real Data
Discussion
References
Parallel MRI Noise Correction: An Extension of the LMMSE to Non Central ? Distributions
Introduction
Methods
Extended LMMSE Model
Noise Standard Deviation Estimation
Results and Discussion
Standard Deviation Estimations
Simulated Data
Real DW Data
Conclusion
References
HARDI Based Pattern Classifiers for the Identification of White Matter Pathologies
Introduction
Methods
Feature Extraction
Dimensionality Reduction
Support Vector Machine Training and Cross-Validation
Application of Classification Framework to a Clinical Population
Conclusion
References
fMRI
Detrend-Free Hemodynamic Data Assimilation of Two-Stage Kalman Estimator
Introduction
Unscented Kalman Estimator
Experimental Validation and Discussion
References
Fiber-Centered Granger Causality Analysis
Introduction
Method
Overview of the Method
Data Acquisition and Preprocessing
Granger Causality Analysis
Results
Results in Resting State fMRI Data
Reproducibility Study: Cross-subjects
Granger Causality Dynamics in Natural Stimulus fMRI Data
Conclusion
References
Variational Solution to the Joint Detection Estimation of Brain Activity in fMRI
Introduction
A Joint Detection-Estimation Model
Estimation by Variational EM
Experiments
Conclusion
References
Adaptively and Spatially Estimating the Hemodynamic Response Functions in fMRI
Introduction
Model Formulation
Multiscale Adaptive Smoothing Model
Weighted Least Square Estimate
Mutliscale Adaptive Estimation Procedure
Results
References
Identification of Individuals with MCI via Multimodality Connectivity Networks
Introduction
Materials and Methods
Data Acquisition
Data Post-processing and Network Construction
Multi-Kernel SVM Multimodality Classification
Experimental Results
Discussions and Conclusion
References
Connectivity-Informed fMRI Activation Detection
Introduction
Connectivity-Informed Activation Model
Posterior Activation Effects Estimation
Functional Connectivity Estimation
Hyper-Parameters Estimation
Materials
Results and Discussion
Conclusions
References
A Stochastic Linear Model for fMRI Activation Analyses
Introduction
Methods
Results
Discussion and Conclusion
References
Statistical Analysis and Shape Modelling I
Computing the Shape of Brain Networks Using Graph Filtration and Gromov-Hausdorff Metric
Introduction
Main Ideas
Experimental Results
Conclusions
References
Model-Driven Harmonic Parameterization of the Cortical Surface
Introduction
Method
Parameterization Domain
Unconstrained Harmonic Mapping of the Neocortex onto a Rectangle
Harmonic Mapping under Orthogonal Constraints
Results
Conclusion
References
Assessing Regularity and Variability of Cortical Folding Patterns of Working Memory ROIs
Introduction
Methods
Overview
Data Acquisition and Pre-processing
Multi-scale Surface Decomposition
Folding Pattern Descriptors
Folding Pattern Feature Analysis
ROI Prediction
Results
Meso-scale Folding Pattern Analysis
Global-Scale Folding Pattern Analysis
ROI Prediction
Conclusion
References
Conformal Metric Optimization on Surface (CMOS) for Deformation and Mapping in Laplace-Beltrami Embedding Space
Introduction
Conformal Metric Optimization and LB Embedding
LB Embedding with Conformal Metrics
Eigen-Derivatives
Surface Mapping via Deformation in Embedding Space
Experimental Results
Mapping Results of Two Surfaces
Hippocampal Mapping in MS Patients with Depression
Comparison with SPHARM
Conclusions
References
Area-Preserving Surface Flattening Using Lie Advection
Introduction
Basic Idea
Algorithm
Solving ?g = h2-h1
Computing ?g
Time Integration of V(t)
Genus Zero Surface Flattening
Results
Conclusion
References
Non-parametric Population Analysis of Cellular Phenotypes
Introduction
Related Work
Mathematical Approach
Nuclear Morphology Representation
Estimating Redistribution of Phenotypes
Results
Statistical Tests
Estimating Redistribution of Phenotypes
Discussion
References
Vertex-Wise Shape Analysis of the Hippocampus: Disentangling Positional Differences from Volume Changes
Introduction
Methods
Spherical Harmonic Description and Point Distribution Model (SPHARM- PDM)
Surface-Based Analysis of Volume Changes
Construction of the Medial Axis
Assessment of Local Positioning
Experiments and Results
Synthetic Data
Shape Analysis of the Hippocampus in Temporal Lobe Epilepsy
Discussion and Conclusion
References
Localized Component Analysis for Arthritis Detection in the Trapeziometacarpal Joint
Introduction
Materials and Methods
Active Shape Models
Localized Component Analysis
Experiments
Data
Faces
Trapezia
Discussion
References
Geometric Correspondence for Ensembles of Nonregular Shapes
Introduction
Background
Methodology
Results and Discussion
Conclusion and Future Work
References
Hippocampal Surface Mapping of Genetic Risk Factors in AD via Sparse Learning Models
Introduction
Materials and Methods
Results
Discussion
References
Euclidean Geodesic Loops on High-Genus Surfaces Applied to the Morphometry of Vestibular Systems
Introduction
Related Work
Our Algorithm
Experimental Results
Conclusion
References
A Statistical Model of Shape and Bone Mineral Density Distribution of the Proximal Femur for Fracture Risk Assessment
Introduction
Method
Registrations
Shape and Density Model
Fisher Linear Discriminant Analysis
Data
Results
Discussion and Conclusions
References
Estimation of Smooth Growth Trajectories with Controlled Acceleration from Time Series Shape Data
Introduction
Shape Regression Parameterized by Acceleration
Description of the Algorithm
Experiments
Conclusion
References
Statistical Analysis and Shape Modelling II
Minimization of Intra-Operative Shaping of Orthopaedic Fixation Plates: A Population-Based Design
Introduction
Methods
Experimental Data
Plate Discretization and Representation
Measurement of Bending and Torsion
Finding the Optimal Template from a Population
Further Optimization
Finding an Adequate Number of Sections
Results
Discussion
References
Iterative Refinement of Point Correspondences for 3D Statistical Shape Models
Introduction
Methods
Preliminaries
Algorithm Summary
Experimental Results
Data Acquisition and Validation
Results
Discussion
References
A New Shape Diffusion Descriptor for Brain Classification
Introduction
Related Work
The Heat Diffusion Process
The Proposed Method
Results
Conclusions
References
Comparison of Shape Regression Methods under Landmark Position Uncertainty
Introduction
Shape regression
Simulation Study
Real World Datasets
Discussion and Conclusions
References
SpringLS: A Deformable Model Representation to Provide Interoperability between Meshes and Level Sets
Introduction
Background
Method
Results
Conclusion
References
Deformable Segmentation via Sparse Shape Representation
Introduction
Methodology
Experiments
Conclusions
References
Pattern Based Morphometry
Introduction
Pattern Extraction Methodology
Step 1: Generating Difference Images from Data
Step 2: K-Singular Value Decomposition
Step 3: Ranking and Normalization of the K-SVD Bases
Results
Preprocessing Protocol
Results on Simulated Datasets
Results on Real Datasets
Discussion
References
Longitudinal Cortical Thickness Estimation Using Khalimsky's Cubic Complex
Introduction
Method
Proposed Pipeline
Topology Preservation and the Khalimsky's Cubic Complex
Multi-Stage Laplace Equation on the Group-Wise Space
Thickness Measurement at Each Time Point
Experiments and Results
Conclusions
References
Spatiotemporal Morphometry of Adjacent Tissue Layers with Application to the Study of Sulcal Formation
Introduction
Methods
Discriminating Shape Change into Area or Thickness Changes
Modeling Local Changes at Specific Time Points
Application - Comparing Growth Patterns Between Cortical Plate (CP) and Subplate (SP) During Early Fetal Development
Results and Discussion
Conclusion
References
Fast Shape-Based Nearest-Neighbor Search for Brain MRIs Using Hierarchical Feature Matching
Introduction
Methods
Evaluation Methodology
Results and Discussion
References
3D Active Shape Model Segmentation Nonlinear Shape Priors
Introduction
Statistical Shape Models and the Active Shape Model
Shape Constraints for Linear and Nonlinear ASMs
Appearance Model and Image Energy
Experiments
Results
Discussion
References
Automatic Construction of Statistical Shape Models for Vertebrae
Introduction
Methods
Experiments and Results
Discussion
References
Graph Based Spatial Position Mapping of Low-Grade Gliomas
Introduction
Network Representation of Low-Grade Gliomas Spatial Dependencies
Network Optimization
Experimental Validation
Discussion
References
Registration I
Automated Registration of Whole-Body Follow-Up MicroCT Data of Mice
Background
Previous Work
Method: Whole-Body Mouse Registration
Articulated Whole-Body Registration
Regularized Intensity-Based Registration
Experimental Setup
Results and Discussion
Conclusion
References
Evaluating Volumetric Brain Registration Performance Using Structural Connectivity Information
Introduction
Methods
CVS
FNIRT
Data Description
Results
Discussion
References
Joint Segmentation and Deformable Registration of Brain Scans Guided by a Tumor Growth Model
Introduction
Atlas Generation
Joint Segmentation-Registration
Results
Conclusion
References
Non-local Shape Descriptor: A New Similarity Metric for Deformable Multi-modal Registration
Introduction
Non-local Shape Descriptor
Registration Framework
Saliency and Robustness of Correspondences
Results
Conclusion
References
Preconditioned Stochastic Gradient Descent Optimisation for Monomodal Image Registration
Introduction
Method
Preconditioned Stochastic Gradient Descent
A Preconditioner for Monomodal Image Registration
Preconditioned Adaptive Stochastic Gradient Descent
Experiments and Results
Rigid Registration of fMRI Series
Nonrigid Registration of CT Chest Scans
Conclusion
References
Random Walks for Deformable Image Registration
Introduction
Methods
An Energy Formulation of Deformable Registration
Discrete Formulation for the Random Walker Algorithm
Multi-resolution Framework and Implementation Details
Experiments
Quality of Recovered Deformations
Results on Real Medical Data
Discussion
References
Laplacian Eigenmaps Manifold Learning for Landmark Localization in Brain MR Images
Introduction
Method
Laplacian Eigenmaps Manifold Learning
Approximate Nearest Neighbors
Out of Sample Extension
Spatial Prior Probabilities
Landmark Prediction
Data and Results
Discussion and Future Work
References
Registration II
Automatic Alignment of Brain MR Scout Scans Using Data-adaptive Multi-structural Model
Introduction
Methodology
Experiments
Conclusions
References
Reconstruction of 3-D Histology Images by Simultaneous Deformable Registration
Introduction
Method
Rigid Pre-alignment
MRF Formulation of the Deformable Stack Registration
Results
Synthetic Data
Rat Kidney
Conclusion
References
Spatially Adaptive Log-Euclidean Polyaffine Registration Based on Sparse Matches
Introduction
Methods
Log-Euclidean Polyaffine Transforms
Block Matching
Image Structure Tensor
Transformation Estimation
Weights: The Kriging Estimator
Experiments and Results
Synthetic Experiments
Inter-subject Registration
Conclusion and Future Work
References
Personalized X-Ray Reconstruction of the Proximal Femur via Intensity-Based Non-rigid 2D-3D Registration
Introduction
Construction of the Statistical Models
Intensity-based Non-rigid 2D-3D Registration
Experiments and Results
Conclusions
References
2D Image Registration in CT Images Using Radial Image Descriptors
Introduction
Related Work
Feature Extraction
Localization
Evaluation
Conclusion
References
Point-to-Volume Registration of Prostate Implants to Ultrasound
Introduction
Methods
Preprocessing
Intensity-Based Point-to-Volume Registration
Results
Phantom Study
Study on Clinical Data
Discussion
Conclusions and Future Work
References
3D Organ Motion Prediction for MR-Guided High Intensity Focused Ultrasound
Introduction
Materials and Methods
Data Acquisition
Atlas Creation
Motion Prediction
Drift Compensation
Results
Motion Prediction without Drift Compensation
Motion Prediction with Drift Compensation
Discussion and Outlook
References
Geometry-Aware Multiscale Image Registration via OBBTree-Based Polyaffine Log-Demons
Introduction
An OBBTree-Based Polyaffine Log-Demons
Experiments on Mandible CT's
Conclusions
References
Geometric Metamorphosis
Introduction and Background
Geometric Metamorphosis Model
Deformation Model
Image Composition Model
Numerical Solution
Estimating Geometric Deformation
Experimental Results
Conclusions and Future Work
References
Longitudinal Brain MRI Analysis with Uncertain Registration
Introduction
Methods
Priors
Model Inference
Spatial Uncertainty
Materials
Experiments
Results
Conclusions and Future Work
References
Geodesic Regression for Image Time-Series
Introduction
Dynamic Formulation of Least-Squares Line Fitting
Geodesic Regression on the Space of Images
Optimality Conditions
Choices for d$^2$
Mechanical Interpretation
Numerical Solution
Experimental Results
Synthetic Images
Real Images: Brain Slices from the OASIS Database
Discussion and Conclusions
References
Mapping the Effects of Aß_1-42 Levels on the Longitudinal Changes in Healthy Aging: Hierarchical Modeling Based on Stationary Velocity Fields
Introduction
Modeling Changes in Time Series of Images with the SVF Framework
EffectsofAß_1-42 Positivity on Healthy Aging
Results
Conclusions
References
Consistent Reconstruction of Cortical Surfaces from Longitudinal Brain MR Images
Introduction
Methods
Preprocessing
Groupwise Registration and Consistent Longitudinal Tissue Segmentation
Cortical Surface Reconstruction for Group-Mean Image
Cortical Surfaces Reconstruction for Longitudinal Images
Results
Conclusion
References
Inferring 3D Kinematics of Carpal Bones from Single View Fluoroscopic Sequences
Introduction
Problem Parameterisation
Training of Kinematic Model and Shape Model
3D-2D Image Registration
Fluoroscopic Image Enhancement and Projection Simulation
Cost Function
Optimisation
Evaluation
Concluding Remarks
References
Author Index

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