Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2010: 13th International Conference, Beijing, China, September 20-24, 2010, ... II (Lecture Notes in Computer Science, 6362)

The13thInternationalConferenceonMedicalImageComputingandComputer- Assisted Intervention, MICCAI 2010, was held in Beijing, China from 20-24 September,2010.ThevenuewastheChinaNationalConventionCenter(CNCC), China'slargestandnewestconferencecenterwith excellentfacilities andaprime location in the heart of the Olympic Green, adjacent to characteristic constr- tions like the Bird's Nest (National Stadium) and the Water Cube (National Aquatics Center). MICCAI is the foremost international scienti?c event in the?eld of medical image computing and computer-assisted interventions. The annual conference has a high scienti?c standard by virtue of the threshold for acceptance, and accordingly MICCAI has built up a track record of attracting leading scientists, engineersandcliniciansfromawiderangeoftechnicalandbiomedicaldisciplines. This year, we received 786 submissions, well in line with the previous two conferences in New York and London. Three program chairs and a program committee of 31 scientists, all with a recognized standing in the?eld of the conference, were responsible for the selection of the papers. The review process was set up such that each paper was considered by the three program chairs, two program committee members, and a minimum of three external reviewers. The review process was double-blind, so the reviewers did not know the identity of the authors of the submission. After a careful evaluation procedure, in which all controversialand gray area papers were discussed individually, we arrived at a total of 251 accepted papers for MICCAI 2010, of which 45 were selected for podium presentation and 206 for poster presentation. The acceptance percentage (32%) was in keeping with that of previous MICCAI conferences. All 251 papers are included in the three MICCAI 2010 LNCS volumes. Title Preface Organization Table of Contents – Part II Ultrasound Imaging Temporal Diffeomorphic Free-Form Deformation for Strain Quantification in 3D-US Images Introduction Registration Algorithm and Strain Computation Experiments Registration Accuracy on Simulated US Data Experiments on Clinical Datasets Conclusion References Tracked Ultrasound Elastography (TrUE) Introduction Methodology Experiments and Results Discussion References Evaluation of Inter-session 3D-TRUS to 3D-TRUS Image Registration for Repeat Prostate Biopsies Introduction Materials and Methods Materials Surface-Based Registration Image-Based Registration TRE Results TRE Error Anisotropy Discussion References Manifold Learning for Image-Based Breathing Gating with Application to 4D Ultrasound Introduction Related Work Method Laplacian Eigenmaps Global Consistency Experiments Conclusion References Measurement of the Skin-Liver Capsule Distance on Ultrasound RF Data for 1D Transient Elastography Introduction Materials and Methods Spectral RF Analysis Ultrasound RF Scanning Setup and Procedure Results and Discussion Spectral Analysis Setup Quantitative Evaluation of the SCD Measures Qualitative Comparison of SCD Measures on Volunteers Conclusion References Incremental Shape Statistics Learning for Prostate Tracking in TRUS Introduction Incremental Shape Statistics Learning Sequential Inference Model for Tracking Experimental Results Conclusions References Fast and Accurate Ultrasonography for Visceral Fat Measurement Introduction Method Ultrasound Probe Compatible Device Segmentation of Visceral Fat Area Matching with Pre- tored Data Experiment Results Evaluation Experiment of US Campare with CT Results Discussions and Conclusion References Real-Time Gating of IVUS Sequences Based on Motion Blur Analysis:Method and Quantitative Validation Introduction Method Cardiac Signal Extraction Gating Results In vitro Experiment Quantitative Evaluation Qualitative In-vitro Evaluation Conclusion References Registration of a Statistical Shape Model of the Lumbar Spine to 3D Ultrasound Images Introduction Method Construction of the Statistical Shape Model Statistical Atlas to Ultrasound Registration Experiments and Results Statistical Shape Model Registration of the Atlas to Ultrasound Images References Automatic Prostate Segmentation Using Fused Ultrasound B-Mode and Elastography Images Introduction Methods Results Discussion Conclusions References Neuroimage Analysis ODF Maxima Extraction in Spherical Harmonic Representation via Analytical Search Space Reduction Introduction Methods ODF in Real and Symmetric Spherical Harmonic Basis ODF Maxima Extraction Reducing the Dimension of the Search Space One-Dimensional Exhaustive Search Results and Discussion References An Anthropomorphic Polyvinyl Alcohol Triple-Modality Brain Phantom Based on Colin27 Introduction Phantom Construction PVA Solution Preparation PVA-C Preparation Brain Mold Approximating Live Brain Texture Implants Triple Modality Imaging Contrast Image Acquisition Conclusion References Statistical Analysis of Structural Brain Connectivity Introduction Framework Connectivity Construction of the Connectivity Network Statistical Analysis Results Conclusion and Discussion References Maximum A Posteriori Estimation of Isotropic High-Resolution Volumetric MRI from Orthogonal Thick-Slice Scans Introduction Methods Results Quantitative Evaluation Application to Pediatric and Fetal MRI Conclusion References Change Detection in Diffusion MRI Using Multivariate Statistical Testing on Tensors Introduction Proposed Framework Preprocessing Generation of the Tensor Sets Reflecting the Local Variability Multivariate Statistical Testing on Tensors Results Conclusion References Increasing Power to Predict Mild Cognitive Impairment Conversion to Alzheimer’s Disease Using Hippocampal Atrophy Rate and Statistical Shape Models Introduction Contributions Method Image Data Method Overview Statistical Shape Model Hippocampal Atrophy Using Boundary Shift Integral Results Conclusions and Discussions References Consistent 4D Cortical Thickness Measurement for Longitudinal Neuroimaging Study Introduction Methods Cortical Thickness Measurement by Minimum Line Integral 4D Cortical Thickness Measurement Experiments and Results Conclusion References Fiber-Centered Analysis of Brain Connectivities Using DTI and Resting State FMRI Data Introduction Method Overview of the Method Data Acquisition and Preprocessing Fiber Projection Functional Coherence Analysis for Fibers Functional Connectivity between Brain Regions Cluster Brain Regions Using Affinity Propagation Algorithm Results Distribution of Fibers’ Functional Coherences Functional Connectivity Analysis Region Clustering Using AP Algorithm Discussion and Conclusion References A Generative Model for Brain Tumor Segmentation in Multi-Modal Images Introduction Generative Tumor Model Maximum Likelihood Parameter Estimation Tumor Segmentation Extensions Experiments Conclusions References Spatio-temporal Analysis of Brain MRI Images Using Hidden Markov Models Introduction Material and Methodology Materials Methodology Results and Discussion Conclusion References Estimating Local Surface Complexity Maps Using Spherical Harmonic Reconstructions Introduction Methods Spherical Harmonic Analysis Calculation of Local and Global Complexity Values Artificial Fractal Surfaces Subject Data Results Discussion References Brain Morphometry by Probabilistic Latent Semantic Analysis Introduction Geometric Feature Extraction Topic Models and pLSA SVM Classification Results Conclusions References Joint Factor and Kinetic Analysis of Dynamic FDOPA PET Scans of Brain Cancer Patients Introduction Methods Factor Analysis Kinetic Analysis Joint Factor Analysis and Kinetic Analysis Experiments and Results Conclusion References Early Detection of Emphysema Progression Introduction Method Registration Local Image Dissimilarity Disease Progression Measure Experiments Data Measuring Local Emphysema Progression Results Discussion References Unsupervised Learning of Brain States from fMRI Data Introduction Method Results Conclusion References Geometrical Consistent 3D Tracing of Neuronal Processes in ssTEM Data Introduction Method Similarity Features between Regions Geometrical Consistency across Sections Evaluation Conclusion References Analysis of the Striato-Thalamo-Cortical Connectivity on the Cortical Surface to Infer Biomarkers of Huntington’s Disease Introduction Methods Structural Database Segmentation of the Deep Nuclei and the Cortex Inference of the Striato-Pallido-Thalamo-Cortical Connectivity Probabilistic Surface Atlases of the Connectivity Atlas Differences between Populations Results and Discussion Conclusion References The Fiber Laterality Histogram: A New Way to Measure White Matter Asymmetry Introduction Methods Algorithm Data and Subjects Studied Results Discussion References A Geometry-Based Particle Filtering Approach to White Matter Tractography Introduction 3D Streamline Flows and the Generalized Helicoid Particle Filter Based Tractography Theory Implementation Tractography Algorithm Experiments and Results Synthetic Data Validation In vivo Data Validation Discussion and Conclusion References Accurate Definition of Brain Regions Position through the Functional Landmark Approach Introduction A Spatial Model of Brain Functional Foci Extracting Peak Positions from Standard Group Analyzes The Functional Landmark (FL) Model Validation Procedures Experiments and Results Simulated Data Experiments on Real Data Discussion References A Comparison of the Cingulum Tract in ALS-B Patients and Controls Using Kernel Matching Introduction Method Tract Segmentation in a Population-Specific Atlas Optimize Cluster Location in Subject Space by Kernel Matching Tensor Shape and Tract Statistics Results Data Acquisition Tract-Based Spatial Statistics Kernel Matching Discussion References Optimally-Discriminative Voxel-Based Analysis Introduction The Proposed Framework Local Nonnegative Discriminative Projection Determining Each Voxel’S Statistic Permutation Tests Results Summary References Hippocampal Shape Classification Using Redundancy Constrained Feature Selection Introduction Redundancy-Constrained Feature Selection (RCFS) Experiments Conclusion References Simulation of Brain Mass Effect with an Arbitrary Lagrangian and Eulerian FEM Introduction Methods Geometrically Nonlinear LFEM Arbitrary Lagrangian Eulerian Method Mesh Smoothing Uncoupled Solution Results Simulation with Homogeneous Geometry Simulation with Multi-shelled Geometry Estimating von Mises Stress Distribution with Real Brain Geometry Discussion References Relating Structural and Functional Connectivity to Performance in a Communication Task Introduction Methods Subnetworks in the Brain Analysis of fMRI Analysis of DTI Relating Structure and Function to Behavior Results Discussion References Bayesian Classification of Multiple Sclerosis Lesions in Longitudinal MRI Using Subtraction Images Introduction Methods Problem Formulation Experiments Preprocessing Scan-Rescan Clinical Data Discussion and Future Work References Multivariate Network-Level Approach to Detect Interactions between Large-Scale Functional Systems Introduction Methods Multivariate Network Correlation Using Canonical Correlation Analysis Network-Level Partial Correlation through Multivariate Regression Resampling to Define Significance of Network-Level Correlation Materials Experimental Results Conclusion References A Generalized Learning Based Framework for Fast Brain Image Registration Introduction Method Statistical Deformation-Appearance Model for Sample Simulation Construction of SVR Models Deformation Prediction for New Subject Experimental Results Deformation Prediction Registration Performance Speed Conclusion References Tracking Clathrin Coated Pits with a Multiple Hypothesis Based Method Introduction Method The Tracking Framework Detection Motion and Intensity Modeling Trajectory Estimation Experimental Results Evaluation on Synthetic Data Evaluation on Real Data Conclusion References Shape-Based Diffeomorphic Registration on Hippocampal Surfaces Using Beltrami Holomorphic Flow Introduction Related Work Theoretical Background and Definitions ProposedModel A Complete Shape Index Surface Map Representation Using Beltrami Coefficients Optimized Surface Registration Matching the Geometry Experimental Results Conclusion and Future Work References Detecting Brain Activation in fMRI Using Group Random Walker Introduction Proposed Method Group Random Walker Label Priors Weighted Graph Laplacian Empirical Evaluation Materials Results and Discussion Conclusion References Measures for Characterizing Directionality SpecificVolume Changes in TBM of Brain Growth Introduction Methods Deformation Direction Vector (DDV) Principal Growth Direction (PGD) Application – Early Fetal Brain Growth Results and Discussion Conclusion References Inter-subject Connectivity-Based Parcellation of a Patch of Cerebral Cortex Introduction MaterialandMethods Data and Pre-processings Inter-subject Dimension Reduction of the Connectivity Data Cortical Parcellation Results Discussion References On Super-Resolution for Fetal Brain MRI Introduction Problem Statement Super-Resolution Variational Regularization Sufficient Number of LR Images Experiments on Fetal Brain MR Data Discussion References Spatial Regularization of Functional Connectivity Using High-Dimensional Markov Random Fields Introduction Markov Random Fields for Functional Connectivity Markov Prior Likelihood Model Estimation via Expectation Maximization Results Conclusion References Simulation of Anatomical Structures Shell Model for Reconstruction and Real-Time Simulation of Thin Anatomical Structures Introduction Co-rotational Triangular Shell Model for Thin Structures Physics-Based Reconstruction Using Shell Elements Results Conclusion References Personalization of Cubic Hermite Meshes for Efficient Biomechanical Simulations Introduction MaterialandMethods Image Registration Cubic Hermite Mesh Warping Results Analytical Workbench for Accuracy and Robustness Analysis Clinical Case Discussion Conclusion References Real-Time Surgical Simulation Using Reduced Order Finite Element Analysis Introduction A Reduced Order Explicit Dynamic FE Algorithm Equilibrium Equations Generalised Displacements and the Reduced Basis Computing the Reduced Basis Explicit Integration in the Reduced Basis Consistency of the Nonlinear Formulation GPU Implementation Using CUDA Assessment Using a Brain Shift Model A Priori Construction of the Reduced Basis Performance of the Reduced Order Models Discussion and Conclusions References Simulation of Nodules and Diffuse Infiltrates in Chest Radiographs Using CT Templates Introduction Materials Methods Experiments and Results Discussion and Conclusion References High-Fidelity Meshes from Tissue Samples for Diffusion MRI Simulations Introduction Methods Experiments Simulation Parameter Optimization Signal Dependency on Mesh Fidelity Model Comparison with Scanner Data Conclusions References A Dynamic Skull Model for Simulation of Cerebral Cortex Folding Introduction Method Materials and Pre-processing Static Skull Dynamic Skull Development of the Cerebral Cortex Experimental Results Comparison of Two Skull Models Comparison of Growth Rates Discussion and Conclusion References Coupled Personalisation of Electrophysiology Models for Simulation of Induced Ischemic Ventricular Tachycardia Introduction Simulation of Electrophysiology Models Coupled Personalisation Method Application to Clinical Data Conclusion References Real Time Ultrasound Needle Image Simulation Using Multi-dimensional Interpolation Introduction Simulation Methods Parametrization Tensor-Product Interpolation Sample Collection and Superimposition Results and Validation Discussion and Future Work References Endoscopic and Microscopic Imaging Endoscopic Video Manifolds Introduction Methods Overview of the Framework EVM for Clustering Uninformative Frames EVMs for Clustering Endoscopic Scenes Experiments and Results Clustering Uninformative Frames Clustering Endoscopic Scenes Conclusion References Automated Training Data Generation for Microscopy Focus Classification Introduction Region Classification for Focus Quality Assessment Automatic Training Data from Image Stacks Experiments and Results Conclusions References Augmenting Capsule Endoscopy Diagnosis:A Similarity Learning Approach Introduction Pairwise Similarity Learning Mathematical Formulation PSKs for One Descriptor PSKs with More than One Descriptor Multiclass Classification Experimental Results Data Acquisition CE Lesion Matching Experiments CE Lesion Classification Conclusion References A Fully Automated Approach to Segmentation of Irregularly Shaped Cellular Structures in EM Images Introduction Our Approach Superpixel Over-Segmentation Segmentation by Graph Partitioning Superpixel-Based Shape and Local Features Learning Object Boundaries Results Conclusion References Automatic Neuron Tracing in Volumetric Microscopy Images with Anisotropic Path Searching Introduction Method Experimental Results Conclusion References An Image Retrieval Approach to Setup Difficulty Levels in Training Systems for Endomicroscopy Diagnosis Introduction Estimating the Interpretation Difficulty Video Retrieval Method Evaluation of the Relevance of the Retrieval Method Results of the Difficulty Estimation Method Conclusion References 3D Localization of Pronuclei of Human Zygotes Using Textures from Multiple Focal Planes Introduction Texture Features at Multiple Focal Planes Experiments Conclusions References Motion Compensated SLAM for Image Guided Surgery Introduction Methods Motion Modeling Motion Compensated SLAM (MC-SLAM) Results Conclusions References Region Flow: A Multi-stage Method for Colonoscopy Tracking Introduction Methods Region Flow Computation Corresponding Pairs Computation Image Deformation Based Egomotion Estimation Experimental Results Validation Experiment Clinical Colonoscopy Experiments Conclusions References A System for Biopsy Site Re-targeting with Uncertainty in Gastroenterology and Oropharyngeal Examinations Introduction Method Biopsy Site Re-targeting from Multiple Endoscopic Views Uncertainty and Analytical Precision of the Re-targeted Biopsy Site Re-targeting System Experiments and Results Validation of the Analytical Precision by Simulations Analytical Precision and Accuracy of the Re-targeting with Patient Data Conclusion References Epitomized Summarization of Wireless Capsule Endoscopic Videos for Efficient Visualization Introduction Epitomized Summarization Results Conclusion References Computing Maximum Association Graph in Microscopic Nucleus Images Introduction Method Maximal Structural Matching Mixed Integer Linear Programming Formulation Extensions to the Method Experimental Results Conclusions References Estimation of 3D Geometry of Microtubules Using Multi-angle Total Internal Reflection Fluorescence Microscopy Introduction Methods TIRF Imaging Theory Challenges in Multi-angle TIRFM MAP Framework with Non-informative Prior Results Computer Simulation Using Phantom Data Estimation Results for in vitro Microtubules Discussion References Image Registration Recursive Green’s Function Registration Introduction Image Registration Distance Measures Regularizers Numerical Solutions Green’s Function Green’s Function Calculation Deriving a Recursive Filter Numerical Examples Conclusions References Summarizing and Visualizing Uncertainty in Non-rigid Registration Introduction A Bayesian Framework for Elastic Image Registration Bayesian Generative Model Markov Chain Monte Carlo (MCMC) Simulation Uncertainty Visualization in Non-rigid Registration Inter-Quartile Ranges Summarizing and Visualization of Marginal Distributions Results Dataset Deformation Parameter Estimation Uncertainty Visualization Discussion References Coupled Registration-Segmentation: Application to Femur Analysis with Intra-subject Multiple Levels of Detail MRI Data Introduction Coupled Registration-Segmentation Framework Overview Weighting Procedure Coupled MRI Bone Registration-Segmentation Results Discussion and Conclusion References Groupwise Registration with Sharp Mean Introduction Methods The Importance of Keeping Sharp Mean Image in Registration Objective Function of Groupwise Registration Solutions to Our Groupwise Registration Experiments Conclusion References Lung Lobar Slippage Assessed with the Aid of Image Registration Introduction Methods Background Registration Method Results 2-D Synthetic Experiments 3-D CT Experiments Discussion and Summary References Generalization of Deformable Registration in Riemannian Sobolev Spaces Introduction Method Sobolev Spaces and Sobolev Gradients Generalization of Sobolev Gradients to Riemannian Manifolds Selection of Metric Based on Preconditioning Metric Selection for Deformable Registration Relation to Other Methods Evaluation Summary References An Efficient EM-ICP Algorithm for Symmetric Consistent Non-linear Registration of Point Sets Introduction A Framework for a Consistent and Symmetric EM-ICP Cost Function Minimisation Efficient Solutions for the Approximation Problems Formalism Choosing A Kernel Efficient Choices Evaluation and Application Conclusion References Image Registration Driven by Combined Probabilistic and Geometric Descriptors Introduction Registration between Anatomies Anatomical Descriptors Registration Formulation Efficient Norm Computation Using Particle Mesh Approximation on GPU Results Conclusions References Simultaneous Fine and Coarse Diffeomorphic Registration: Application to Atrophy Measurement in Alzheimer’s Disease Introduction Registration Using Multi-kernel LDDMM Registration Using LDDMM Multi-kernel LDDMM Separating the Contribution of Each Kernel Weight of the Kernels Evaluation Application to 2D Synthetic Images Application to 3D Brain MR Images Conclusion References Registration of Longitudinal Image Sequences with Implicit Template and Spatial-Temporal Heuristics Introduction Methods Probabilistic Model for Registration of Longitudinal Data Sets Solutions to Our Longitudinal Registration Experiments Conclusion References 3D Ultrasound to Stereoscopic Camera Registration through an Air-Tissue Boundary Introduction Methods Experimental Setup Results Discussion Conclusions References Automatic Learning Sparse Correspondences for Initialising Groupwise Registration Introduction PartModels Parts+Geometry Models Establishing Dense Correspondences Experiments Conclusions and Future Work References Hierarchical Multimodal Image Registration Based on Adaptive Local Mutual Information Introduction Method Local Mutual Information - Previous Work Adaptive Local Mutual Information Adaptive Selectivity and Sampling Cost Saving Approximations Experiments Rigid Registration of CT/MR Brain Images MRI/US for Image Guided Neurosurgery Discussion References LogDemons Revisited: Consistent Regularisation and Incompressibility Constraint for Soft Tissue Tracking in Medical Images Introduction Methods Background: Log-Domain Diffeomorphic Demons Revisiting Demons Gaussian Regularisation Incompressible LogDemons Experiments and Results Experiments on Synthetic Datasets Application to Cardiac Deformation Recovery Discussion and Future Works References Correspondences Search for Surface-Based Intra-Operative Registration Introduction Methods Mesh Segmentation Graph Construction Graph Matching Evaluation Evaluation of Robustness with Respect to the Submesh Size Curvature Classes vs. Continuous Curvature Measures Evaluation on Noisy Data Results Discussion References Model-Based Multi-view Fusion of Cinematic Flow and Optical Imaging Introduction Model Based Articulated Tracking Multi-views Pose Estimation Bioluminescence Position Constraints Tracking with Energy Minimization Experimental Validation Comparison with Triangulated Data Visual Assessment 3D Cinematic Analysis Discussion References Simultaneous Geometric - Iconic Registration Introduction Iconic-Landmark Registration Point Correspondence Problem Iconic Registration Simultaneous Geometric - Iconic Registration Experimental Validation MRF Optimization Experimental Results Discussion References Groupwise Registration by Hierarchical Anatomical Correspondence Detection Introduction Methods Energy Function in Groupwise Registration Implementation for Groupwise Registration Experiments Conclusion References Author Index Constitutes the refereed proceedings of the 13th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2010, held in Beijing, China, in September 2010.