Information Processing in Medical Imaging

Name: Information Processing in Medical Imaging | 22nd International Conference, IPMI 2011, Kloster Irsee, Germany, July 3-8, 2011, Proceedings
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22nd International Conference, IPMI 2011, Kloster Irsee, Germany, July 3-8, 2011, Proceedings

Gábor Székely Horst K. Hahn(Editor)

Springer (Publisher)

Published on 17. June 2011

XXI, 787 pages

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Content

Title Page
Preface
Fran¸cois Erbsmann Prizewinners
Organization
Table of Contents
Segmentation
Segmentation of Brain Images Using Adaptive Atlases with Application to Ventriculomegaly
Introduction
Methods
Gaussian Mixture Model with Spatially Varying Mixing Coefficients
GMM with Adaptive Atlases
Estimation Algorithm
Implementation Details
Experiments
Normal Brains
Brains with Ventriculomegaly
Discussion
References
Adaptive Riemannian Metrics for Improved Geodesic Tracking of White Matter
Introduction
Background
Properties of Front-Propagation
Adaptive Riemannian Metrics
The Metric Modulating Function
Computing the Geodesic Equation
Computing the Metric Modulating Function
Results
Synthetic Data
Real Data
Conclusion and Future Work
References
Combining Generative and Discriminative Models for Semantic Segmentation of CT Scans via Active Learning
Introduction
Materials: The Labeled CT Database
Methods
Discriminative Voxel Classification
Generative Model of CT Scans
Segmenting Previously Unseen Scans
Training Set Construction through Active Learning
Experiments and Results
Bayesian Segmentation Results
Training Database Construction Results
Discussion and Conclusion
References
Segmentation of 3D RF Echocardiography Using a Multiframe Spatio-temporal Predictor
Introduction
Materials and Methods
Signal Model
MAP Estimation
Probability for Single Frame Speckle
Multiframe Conditional
Linear Predictor
Separable Coefficient Regression
Segmentation Model
Optimization
Experiments and Results
Surgical Preparation and Ultrasound Acquisition
Goals
Advantages of the Proposed Method
Validation and Results
Discussion and Conclusions
References
Optimal Graph Based Segmentation Using Flow Lines with Application to Airway Wall Segmentation
Introduction
Method
Initial Segmentation
Flow Lines
Graph
Cost Functions
Experiments and Results
Data
Comparison to Existing Approaches
Tree Extraction and Measurements
Discussion and Conclusion
References
Surface-Region Context in Optimal Multi-object Graph-Based Segmentation: Robust Delineation of Pulmonary Tumors
Introduction
Method
Energy Function
Incorporation of Geometric Interactions
Graph Construction
Application for Lung Tumor Segmentation on MVCBCT Image
Initialization
Simultaneous Segmentation of Lung Boundary and Tumor
Experimental Methods
Results
Discussion and Conclusion
References
Statistical Methods
Optimal Weights for Multi-atlas Label Fusion
Introduction
Label Fusion Based Multi-atlas Segmentation
Estimating Optimal Weights through Covariance Matrix
Estimating Correlations between Atlases
Toy Examples
Remedying Registration Errors by Local Searching
Experiments
Conclusions
References
Characterizing Spatially Varying Performance to Improve Multi-atlas Multi-label Segmentation
Introduction
Theory
Problem Definition
Spatial STAPLE Algorithm
Sliding Windows and Biasing Priors
Initialization and Convergence
Methods and Results
Spatially Varying Rater Quality Simulation
Multi-atlas, Multi-label Empirical Experiment
Discussion and Conclusion
References
Discovering Dense and Consistent Landmarks in the Brain
Introduction
Methods
Overview
Dataset, Preprocessing and Initialization
Optimization of Landmark Locations
Experimental Results
Consistency of Fiber Shape Patterns and Reproducibility Study
Validation Using Task-Based fMRI
Sensitivity to Initial Landmark Locations
Discussion and Conclusion
References
Auto-alignment of Knee MR Scout Scans through Redundant, Adaptive and Hierarchical Anatomy Detection
Introduction
Related Work
Methods
Experiments
Conclusions
References
Optimal Data-Driven Sparse Parameterization of Diffeomorphisms for Population Analysis
Introduction
Image Matching with Discrete Parameterization of Deformations
Atlas Estimation with Common Sparse Parameterization of Deformations
Joint Optimization of the Template Image and the Deformations
Sparsity Enforced by log- L1 Penalty Term
Experiments
Discussion and Conclusion
References
Learning an Atlas of a Cognitive Process in Its Functional Geometry
Introduction
Generative Model of Functional Connectivity
Diffusion Distances, Diffusion Maps, and fMRI Time Courses
A Generative Model for Diffusion Maps across Subjects
Atlas Learning and Inference
Initialization
Experiments and Results
Results
Conclusion
References
Shape Analysis
Parameterization-Invariant Shape Statistics and Probabilistic Classification of Anatomical Surfaces
Introduction
Novel Riemannian Framework
Pre-shape and Shape Space
Geodesics in the Pre-shape Space F
Geodesics in Shape Space S
Shape Statistics of Surfaces
Karcher Mean of Surfaces
Estimation of the Karcher Covariance
ADHD Classification
Conclusion
References
On the Extraction of Topologically Correct Thickness Measurements Using Khalimsky's Cubic Complex
Introduction
Method
Topology Preserving and the Khalimsky's Cubic Complex
Collapse Operation and Topology Correction
Multi-stage Laplace Equation and Thickness Measurement
Experiments and Results
Conclusions
References
Poster Session I (Segmentation, Shape Analysis, Statistical Methods, Image Reconstruction, Microscopic Image Analysis)
A Convex Max-Flow Segmentation of LV Using Subject-Specific Distributions on Cardiac MRI
Introduction
Convex Max-Flow Based Bhattacharyya Distribution Matching
BhattacharyyaDistribution Matching
Alternating Optimization Approach
Global Minimization of Energy Upper Bound
Continuous Max-Flow Approach
Convex Relaxed Min-Cut Model
Convex Max-Flow Model
Convex Max-Flow Based Algorithm
Experiments
Illustration of Segmented Images and Quantitative Evaluations
Conclusion
References
Entangled Decision Forests and Their Application for Semantic Segmentation of CT Images
Introduction
Methods
Decision Forest Background
Context Rich, Long-Range Visual Features
Feature Selection Is Guided by Learned Proposal Distributions
Results
Experimental Setup
Qualitative Results
Quantitative Results Including the Impact of Each of Our Contributions
Discussion
Conclusions
References
Venous Tree Separation in the Liver: Graph Partitioning Using a Non-ising Model
Introduction
Related Work
Our Method: Recursive Minimal Paths
Results
Conclusions
References
Efficient Algorithms for Segmenting Globally Optimal and Smooth Multi-surfaces
Introduction
Problem Description
Curvature and Mean Curvature
Single Surface Detection
Multiple Surface Detection
Algorithms
Algorithm for Single Surface Detection
Algorithm for Multiple Surface Detection
Experiments
Results
Discussion and Conclusion
References
Graph Cuts with Invariant Object-Interaction Priors: Application to Intervertebral Disc Segmentation
Introduction
Formulation
The Energy
Optimization
Experiments
References
CoRPORATE: Cortical Reconstruction by Pruning Outliers with Reeb Analysis and Topology-Preserving Evolution
Introduction
Surface Reconstruction with Topology-Preserving Evolution
Preprocessing
Topology-Preserving Evolution
Localized Outlier Pruning with Reeb Analysis
Laplace-Beltrami Eigen-Functions
Outlier Detection with Reeb Analysis
Localized Filtering for Outlier Pruning
Experiments
Comparison with FreeSurfer
Large Scale Validation on ADNI Data
Conclusions
References
Globally Optimal Tumor Segmentation in PET-CT Images: A Graph-Based Co-segmentation Method
Introduction
Related Work
Problem Formulation
The Graph Optimization Method
Experimental Methods
Results and Discussion
Conclusion and Future Work
References
Approximations of the Diffeomorphic Metric and Their Applications in Shape Learning
Introduction
Methods
Review: Diffeomorphic Metric
The First- and Second-Order Approximations of the Diffeomorphic Metric
Alternative Computation through Initial Momentum
Numerical Implementation
Results
Conclusion
References
Anisotropic Diffusion of Tensor Fields for Fold Shape Analysis on Surfaces
Introduction
Methods
Morphometric Analysis on Surfaces
Diffusion of Tensor Fields
Anisotropic Diffusion of Scalar Fields along Folds
Anisotropic Diffusion of Tensor Fields on Surfaces
Experimental Results
Conclusion
References
A Novel Longitudinal Atlas Construction Framework by Groupwise Registration of Subject Image Sequences
Introduction
Formulation and Properties of the Proposed Method
Growth Model Estimation for Each Subject
Transformation of Subject Image Sequence to the Atlas Space
Atlas Construction by Kernel Regression
Evolution Model Estimation in the Atlas Space
Experimental Results
Experiments on Measuring Global Registration Accuracy
Experiments on Measuring Individual Temporal Smoothness
Conclusion
References
A Probabilistic Framework to Infer Brain Functional Connectivity from Anatomical Connections
Introduction
Problem Statement
From Structure to Functional Correlations: A Probabilistic Framework
Experimental Results: Inter-subject Prediction of Resting-State Functional Connectivity
Conclusions
References
Optimal Initialization for 3D Correspondence Optimization: An Evaluation Study
Introduction
Materials and Methods
Statistical Shape Models
Quasi-distortion-Free Consistent Parameterization
Groupwise Correspondence Optimization
Correspondence Quality Measures
Data Sets
Experiments
Results
Discussion
Conclusions
References
White Matter Bundle Registration and Population Analysis Based on Gaussian Processes
Introduction
Methods
Representation of WM Bundles as Tract Density Maps
Diffeomorphic Bundle Registration with GP-Represented TDMs
Template Construction and Population Analysis
Results
Pairwise Registration
Template Estimation
Discussion and Conclusion
References
Personalization of Pictorial Structures for Anatomical Landmark Localization
Introduction
Parts-Based GM for Anatomical Landmark Localization
Personalization of Graphical Models
Personalized Spatial Models
Personalized Appearance Models
Experimental Results
Discussion
Conclusion
References
Joint Restoration of Bi-contrast MRI Data for Spatial Intensity Non-uniformities
Introduction
Methods
Data Description
Spatial and Statistical Image Representation
Effect of Spatial Intensity Non-uniformities on Co-occurrence Statistics
Overview of Constrained Restoration
Restoration of the Co-occurrence Statistics
Enforcement of the Restored Statistics to the Images
Completion of the Iterations
Identification and Restoration of the Valid Image Domain
Implementation and Efficiency
Experimental Results
Discussion
References
The 2D Analytic Signal on RF and B-Mode Ultrasound Images
Introduction
2D Analytic Signal
Structural and Geometrical Features
Frequency Selection
2D Analytic Signal on RF Ultrasound
Envelope and B-Mode Results
Analysis of Envelope Statistics
Rao-Robson Statistic
Statistical Results
2D Analytic Signal on B-Mode Images
Conclusion
References
A Compressed Sensing Approach for MR Tissue Contrast Synthesis
Introduction
Background
Compressed Sensing
Method
Imaging Model
Atlas Description
Contrast Synthesis
Contrast Synthesis with Modified Dictionary
Results
Estimation of ?
Experiment on BIRN Data
Conclusion
References
Restoring DIC Microscopy Images from Multiple Shear Directions
Introduction
Related Work
Our Proposal
Problem Formulation and Restoration Method
Register a Collection of DIC Images
Estimate the Shear Directions
Experiment Results
Conclusions
References
Identifying Nuclear Phenotypes Using Semi-supervised Metric Learning
Introduction
Related Work
Methods
Nuclear Features
Experimental Results
Cell-Type Classification
Identifying Cellular Sub-populations
Conclusions
References
Actin Filament Segmentation Using Dynamic Programming
Introduction
Methodology
Problem Formulation
Efficient Optimization of the Temporal Chain Using Dynamic Programming
Inference of Actin Filament Body Points
Implementation
Image Preprocessing
Implementation of the External Energy Eext in (6)
Implementation of the Likelihood Term l(ri) in (1)
Implementation of the Pairwise Term p(ri, ri+1) in (1)
Generating the Solution Set of ri and Body Points Inference from ri
Experiments
Conclusion
References
Registration
Multimodal Registration via Spatial-Context Mutual Information
Introduction
Prior Related Work
Methodology
Mutual Information as a Registration Criterion
Learning Patch Dictionaries by Euclidean-Invariant Vector Quantization
Computing Spatial-Context Mutual Information
Building Patch Correspondence from Joint Statistics
Experimental Validation
Discussion
References
Generalized Partial Volume: An Inferior Density Estimator to Parzen Windows for Normalized Mutual Information
Introduction
Previous Work
Image Registration
Locally Orderless Images (LOI)
First Order Structure
The Parzen Window (PW)
Generalized Partial Volume (GPV)
Fast Implementations
Experiments
Discussion and Conclusion
References
Large Deformation Diffeomorphic Metric Mapping of Orientation Distribution Functions
Introduction
Methods
The Riemannian Manifold of ODFs Extended to R^3
Affine Transformation on Generalized Square-Root ODFs
Diffeomorphic Group Action on Generalized Square-Root ODF
Large Deformation Diffeomorphic Metric Mapping for ODFs
Gradient of J with Respect to m_t
Numerical Implementation
Experiments
Conclusion
References
Schild's Ladder for the Parallel Transport of Deformations in Time Series of Images
Introduction
The Schild's Ladder Procedure
Application to Images
Experiments on Synthetic and Real Data
Comparison of Different Methods of Transport
One Year Follow-Up Changes on Alzheimer's Disease
Discussion and Conclusions
References
Poster Session II (Computer Aided Diagnosis, Diffusion Imaging, Functional Brain Analysis, Registration, Other)
Dissimilarity-Based Classification of Anatomical Tree Structures
Introduction
Classification in Tree Dissimilarity Space
Dissimilarity Representation
Dissimilarity Measure
Classification
Extraction of Airway Tree Branch Feature Vectors
Experiments
Data
Evaluation
Results
Discussion
Conclusions
References
Automated Detection of Junctions Structures and Tracking of Their Trajectories in 4D Images
Introduction
Methods
Junction Detection by Analysis of Local Shape Profile
Trajectory Modeling Using B-Spline Curve
Trajectory Tracking Using Correlation Coefficients
Optimization Strategy
Results
Junction Detection
Tracking Using Automated Detected Junctions
Tracking Using Manually Delineated Landmarks
Discussions
References
Systematic Assessment of Performance Prediction Techniques in Medical Image Classification A Case Study on Celiac Disease
Introduction
Image Set Construction
Image Data
Construction of Distinct Data Sets
Feature Extraction and Classification
Local Binary Patterns
Extended Local Binary Patterns and Extended Local Ternary Patterns with Adaptive Threshold
Histogram Subset Selection
Classification
Cross Validation Protocols
Leave-One-Patient-Out Cross Validation
Feature Optimization Combined with Cross Validation
Results
Performance
Discussion
References
Detecting and Classifying Linear Structures in Mammograms Using Random Forests
Introduction
Background
Detecting Abnormalities in Mammograms
Detecting and Classifying Curvilinear Structures
Dual-Tree Complex Wavelet Transform
Random Forest Classification and Regression
Detecting Curvilinear Structures
Detection as Learning
Orientation as Regression
Training on Synthetic Data
Classifying Curvilinear Structure
Experimental Evaluation
Data
Curvilinear Structure Detection and Orientation Estimation
Spicule Classification
Discussion and Conclusions
References
A Unified Framework for Joint Segmentation, Nonrigid Registration and Tumor Detection: Application to MR-Guided Radiotherapy
Introduction
Description of the Model
A Unified Framework: Bayesian Formulation
Segmentation
Registration and Tumor Detection
Results
Conclusion
References
Detection of Crossing White Matter Fibers with High-Order Tensors and Rank-k Decompositions
Introduction
Spherical Deconvolution
Estimation of Positive-Semidefinite ODF Using Spherical Deconvolution
High-Order Tensor (HOT) Decompositions
Experimental Results
Synthetic Data Simulations
Phantom Data
Cat Brain Data
Conclusions
References
Nonnegative Factorization of Diffusion Tensor Images and Its Applications
Introduction
Preliminaries
Algorithm and Implementation Details
Optimization with Respect to the Basis Matrix W
Optimization with Respect to Coefficient Matrix H
Diffusion Tensor Image Segmentation
Experiments
Diffusion Tensor Image Segmentation
Nonnegative Factorization with Multiple Tensor Fields
Conclusions
References
Multi-subject Dictionary Learning to Segment an Atlas of Brain Spontaneous Activity
Introduction
Multi-subject Decomposition Model for Brain Activity
Optimization Strategy for Efficient Learning
Model Selection and Choice of Parameters
Simulation Study
An Atlas of Functional Regions for Spontaneous Activity
Conclusion
References
Activated Fibers: Fiber-Centered Activation Detection in Task-Based FMRI
Introduction
Method
Overview of the Method
Data Acquisition and Preprocessing
Fiber Projection
Dynamic Functional Connectivity of Fiber-Connected Brain Regions
Activated Fibers Detection
Experimental Results
Comparison of fMRI Signal and DFC
Global View of DFCs
Statistics Analysis of Activated Fibers
Comparison of Fiber-Centered and Voxel-Based Activation Detections
Conclusion
References
State-Space Models of Mental Processes from fMRI
Introduction
The State-Space Model (SSM)
Results
Conclusion
References
Functional Brain Imaging with M/EEG Using Structured Sparsity in Time-Frequency Dictionaries
Introduction
Optimization Strategy
Results
Simulation Study
Experimental Results with MEG Data
Conclusions
References
Generalized Sparse Regularization with Application to fMRI Brain Decoding
Introduction
Methods
Overview of Sparse Linear Models
Generalized Sparse Regularization
GSR for Classification
Application to fMRI Spatiotemporal Classification
Materials
Results and Discussion
Conclusions
References
A Multi-scale Kernel Bundle for LDDMM: Towards Sparse Deformation Description across Space and Scales
Introduction
Deformation at Multiple Scales
An Example
Related Work
Content and Outline
LDDMM and Kernels
The Tangent Space
Kernels
LDDKBM: A Multi-scale Kernel Bundle
Evolution Equations
Scale Decoupling and Relation to Other Approaches
Implementation
Experiments
Setup and Results
Conclusion and Outlook
References
Automatic Part Selection for Groupwise Registration
Introduction
Methodology
Candidate Parts
Parts+geometry Models
Voting for Sparse Correspondences
Selecting a Subset of Parts
Evaluating a Set of Parts
Extending the Model
Annotating New Images
Elastic Mesh Model
Experimental Results
Performance of the Voting Based Method
Influence of Important Parameters
Annotating Unseen Images
Conclusions and Future Work
References
Temporal Groupwise Registration for Motion Modeling
Introduction
Related Work
Method
Transformation Model
Accumulated Pairwise Estimates
Optimization
Implementation Details
Advantages of STORM for Motion Modeling
Experiments and Results
Synthetic Data
Medical Data
Discussion and Conclusion
References
Fast Brain Matching with Spectral Correspondence
Introduction
Method
Spectral Correspondence
Ordering the Spectra
Alignment of Spectra
Results
Node Weighting
Matching Deformed Brain Surfaces
Validation
Combination of Additional Information
Conclusion
References
Landmark Matching Based Automatic Retinal Image Registration with Linear Programming and Self-similarities
Introduction
Previous Work
Landmark Matching with Linear Programming
Problem Formulation
Optimization
Landmark Detection and Feature Extraction
Results and Discussions
Synthetic Transformation
Real Transformation
Conclusion and Future Work
References
Reconstruction of 4D-CT from a Single Free-Breathing 3D-CT by Spatial-Temporal Image Registration
Introduction
Method
Experiments
Conclusion
References
Probabilistic Elastography: Estimating Lung Elasticity
Introduction
Methods
Probabilistic Elastography
Sampling the Posterior Distribution
Summarizing the Posterior Distribution
Results
Synthetic Experiments
Clinical Experiments
Discussion
References
Diffusion Imaging
Rotation Invariant Completion Fields for Mapping Diffusion MRI Connectivity
Introduction
Background: 3D Stochastic Completion Fields
Angular Constraints on 3D Directional Random Walk
Rotation Invariant Computation
Spherical Harmonics Based Formulation
The Complete Computational Model
Experimental Results
Validation on Synthetic Data
Validation on Phantom Data
Conclusion
References
A Polynomial Approach for Maxima Extraction and Its Application to Tractography in HARDI
Introduction
Materials and Methods
Experiments
Results
Conclusion
References
Disease Progression Modeling
A Generative Approach for Image-Based Modeling of Tumor Growth
Introduction
Tumor Growth Model
Physical Process Model
Imaging Models
Joint Model
Inference
Experiments
Conclusions
References
An Event-Based Disease Progression Model and Its Application to Familial Alzheimer's Disease
Introduction
Theory
Event-Based Model
The Likelihood of the Data Given Events
The MCMC Algorithm
Methods
Patients
Imaging
Preprocessing
Results
Discussion
References
Computer Aided Diagnosis
The Ideal Observer Objective Assessment Metric for Magnetic Resonance Imaging Application to Signal Detection Tasks
Introduction
Fundamentals
Experimental Design and Methods
Results
Conclusions
References
3D Shape Analysis for Early Diagnosis of Malignant Lung Nodules
Introduction
Methods
Lung Nodules Segmentation
Spherical Harmonics (SHs) Shape Analysis
Quantitative Lung Nodule Shape Analysis
Experimental Results and Conclusions
References
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Information Processing in Medical Imaging

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