Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007: 10th International Conference, Brisbane, Australia, October 29 - November 2, ... I (Lecture Notes in Computer Science, 4791)

This title is part of a two-volume set that constitute the refereed proceedings of the 10th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2007. Coverage in this first volume includes diffusion tensor imaging and computing, cardiac imaging and robotics, image segmentation and classification, image guided intervention and robotics, innovative clinical and biological applications, brain atlas computing, and simulation of therapy. Title Page Preface Organization Table of Contents – Part I Geodesic-Loxodromes for Diffusion Tensor Interpolation and Difference Measurement Introduction Theoretical Background Methods Results Discussion and Future Work Quantification of Measurement Error in DTI: Theoretical Predictions and Validation Introduction Methods Simulation Experiments and Validation Conclusions In-utero Three Dimension High Resolution Fetal Brain Diffusion Tensor Imaging Introduction Method and Implementation Achieving the Required Sample Density Motion Compensation Through Slice to Volume Registration Reconstruction of the Diffusion Tensor Matrix Fetal Scanning Protocol Verification Using Adult Data Results Fetal Examples ROI Analysis for ADC and FA Values Conclusion References Real-Time MR Diffusion Tensor and Q-Ball Imaging Using Kalman Filtering Introduction Methods Model Fitting Formulation Kalman Filtering Optimum Diffusion Gradient Orientation Set DTI and QBI Acquisition Settings Results Real Time Standard Diffusion Maps Real Time Orientation Distribution Function Maps Conclusion Finsler Tractography for White Matter Connectivity Analysis of the Cingulum Bundle Introduction The Cingulum Bundle Anchor Tracts on a Finsler Manifold Level Set Fiber Bundle Segmentation Experiments and Results Conclusions and Future Work Segmentation of Myocardial Volumes from Real-Time 3D Echocardiography Using an Incompressibility Constraint Introduction Method Statistical Modeling of Ultrasound Speckle Data Adherence Derivation Incompressibility Constraint Maximum a Posteriori Framework Results Conclusion Localized Shape Variations for Classifying Wall Motion in Echocardiograms Introduction Methods Shape Modeling Orthomax Rotations Wall-Motion Classification Results Discussion and Conclusions Image Guidance of Intracardiac Ultrasound with Fusion of Pre-operative Images Introduction Background Method System Setup Cardiac and Respiration Motion Gating Image Registration Experimental Results Discussion and Future Work 3D Reconstruction of Internal Organ Surfaces for Minimal Invasive Surgery Introduction Material and Methods Stereo Feature Tracking Structure from Motion with Missing Data Competitive Evolutionary Agents for 3D Reconstruction Experimental Design Experimental Results Synthetic Data Phantom Model $In vivo$ Data Discussion and Conclusions References Cardiolock: An Active Cardiac Stabilizer First in Vivo Experiments Using a New Robotized Device Introduction Experimental Evaluation of the Heart Contact Forces The Experimental Setup The Experimental Results The Active Heart Stabilizer The Active Compensation Principle The Current Design High Speed Visual Servoing First in Vivo Results Conclusion Automated Segmentation of the Liver from 3D CT Images Using Probabilistic Atlas and Multi-level Statistical Shape Model Introduction Methods Spatial Standardization Using the Abdominal Cavity Constructing Statistical Atlases Segmentation of the Liver Using Statistical Atlases Experimental Results Experimental Conditions Results Discussion and Conclusions Statistical and Topological Atlas Based Brain Image Segmentation Introduction Methods Statistical Atlas Topological Atlas Tissue Segmentation Topology-Preserving Fast Marching Segmentation Experiments and Validation Simulated Images Real Images Conclusion A Boosted Segmentation Method for Surgical Workflow Analysis Introduction and Related Work Methods Overview Instrument Signals Weighting Method Adaptive DTW Average Model Computation Experiments and Results Discussion and Conclusion Detection of Spatial Activation Patterns as Unsupervised Segmentation of fMRI Data Introduction and Motivation Unsupervised Segmentation of fMRI Data Experimental Results Conclusions Robotic Assistance for Ultrasound Guided Prostate Brachytherapy Introduction System Design Experiments and Results Conclusion References Closed-Loop Control in Fused MR-TRUS Image-Guided Prostate Biopsy Introduction Methods Clinical Workflow Closed-Loop Control RTUS/US Registration Experiments and Results Phantom Study Patient Studies Discussion and Conclusions References Simulation and Fully Automatic Multimodal Registration of Medical Ultrasound Introduction Simulation of Ultrasound from $CT$ $CT$-Ultrasound Registration Automatic Frame Selection Idealized Intensity Prior Similarity Measure Optimization Strategy Results Discussion and Conclusion Medical and Technical Protocol for Automatic Navigation of a Wireless Device in the Carotid Artery of a Living Swine Using a Standard Clinical MRI System Introduction System Overview Interventional Protocol Animal Preparation Tracking Angiography, Path Planning and Registration Endovascular Navigation Real-Time Navigation Conclusion References Improving the Contrast of Breast Cancer Masses in Ultrasound Using an Autoregressive Model Based Filter Introduction Tissue Harmonic Imaging Method Methods for Evaluation Intensity Based Statistics Texture Measures Frequency Domain Analysis Results and Discussion Experimental Set-Up Power Spectrum Analysis Discussion of Experimental Data Conclusion Outlier Rejection for Diffusion Weighted Imaging Motivation and Background Outlier Rejection Approach Noise Filtering Laplace-Beltrami Computations Thresholding to Define Outliers Interpolation Results Conclusion Generating Fiber Crossing Phantoms Out of Experimental DWIs Introduction Method Experimental Phantom Data Two-Tensor Model Results Discussion Motion and Positional Error Correction for Cone Beam 3D-Reconstruction with Mobile C-Arms Introduction Method 3D-Reconstruction Algorithm 2D/3D-Registration Implementation Details and Computation Time Clinical- and C-Arm Projection Data Experiments Results Discussion Cortical Hemisphere Registration Via Large Deformation Diffeomorphic Metric Curve Mapping Introduction Large Deformation Diffeomorphic Metric Curve Mapping (LDDMM-Curve) Vector-Valued Measure and Its Norm Variational Formulation of the LDDMM-Curve Mapping Spline Interpolation of Deformation Experiments Subjects, MRI Acquisition, and Data Processing Examples Evaluation of the Mapping Conclusion Tagged Volume Rendering of the Heart Introduction Method Tagged Volume Rendering Line Filtering for Vessel Segmentation Fast Marching for Heart Segmentation Results Data Initial Contour Final Renderings Conclusion One-Class Acoustic Characterization Applied to Blood Detection in IVUS Introduction Background Materials and Methods Data Acquisition and Ground Truth Features Training and Testing Scheme Results Discussion and Conclusion Phase Sensitive Reconstruction for Water/FatSeparation in MR Imaging Using Inverse Gradient Introduction Background Materials and Methods Material Data Acquisition Data Processing Results Discussion LOCUS: LOcal Cooperative Unified Segmentation of MRI Brain Scans Introduction Method MRF Segmentation Local Cooperative Tissue Segmentation (LOCUS-T) Cooperative Tissue and Structure Segmentation (LOCUS-TS) Results Discussion Spline Based Inhomogeneity Correction for $^{11}$C-PIB PET Segmentation Using Expectation Maximization Introduction Method Data and Acquisition Tissue Classification Inhomogeneity Correction Experiments and Validation Results Discussion Conclusion Hyperspherical von Mises-Fisher Mixture (HvMF) Modelling of High Angular Resolution Diffusion MRI Introduction Theory Hyperspherical von Mises-Fisher Distributions (HvMF) A Double-Angle Representation for 3D Orientation Maximum Likelihood Estimates of HvMF Parameters Mixture Modelling: Fitting by EM and Model Selection Relationships Between Variance of ODF and a Measure of Anisotropy Experiments and Discussion Conclusions Use of Varying Constraints in Optimal 3-D Graph Search for Segmentation of Macular Optical Coherence Tomography Images Introduction Optimal 3-D Graph Search with Varying Constraints Surface Set Feasibility with Varying Constraints Cost of a Feasible Surface Set Application to Intraretinal Layer Segmentation Segmentation Overview Learning the Constraints Experimental Methods Results Discussion and Conclusion Automatic Segmentation of Bladder and Prostate Using Coupled 3D Deformable Models Introduction Previous Work Un--coupled Bladder and Prostate Segmentation Multiple Structure Segmentation Our Approach to Bladder Segmentation Our Approach to Prostate Segmentation Prostate Localization Shape Statistics Intensity Information Initial Prostate Model Deformation Context--Dependent Coupled Deformation Results and Perspectives Characterizing Spatio-temporal Patterns for Disease Discrimination in Cardiac Echo Videos Introduction Region Extraction Spatio-temporal Regional Measurements Disease Discrimination from Regional Trajectories Region Correspondence Using Active Shape Models Matching Regional Trajectories Results Disease Discrimination Using Regional Trajectories Disease Similarity Using Septal Motion Conclusions Integrating Functional and Structural Images for Simultaneous Cardiac Segmentation and Deformation Recovery Introduction Methodology Integrating BSPMs with Physiome Model Extracting Motion Measurements from Structural Images Simultaneous Cardiac Segmentation and Deformation Recovery Experiments Synthetic Data Human Data Statistical Shape Modeling Using MDL Incorporating Shape, Appearance, and Expert Knowledge Introduction Methods Method Overview Training Correspondence Establishment Feature Selection Results Conclusions False Positive Reduction in Mammographic Mass Detection Using Local Binary Patterns Introduction Local Binary Patterns (LBP) Using LBP for Mammographic False Positive Reduction Experimental Results Conclusions Fuzzy Nonparametric DTI Segmentation for Robust Cingulum-Tract Extraction Introduction Related Work Nonparametric Statistical Diffusion-Tensor Modeling Fuzzy Segmentation with Manifold-Based Models Results, Validation, and Discussion Adaptive Metamorphs Model for 3D Medical Image Segmentation Introduction Metamorphs Deformable Models 3D Adaptive Metamorphs Models Adaptive Edge and Region Information 3D Model Dynamics 3D Model Evolution Experiments Conclusions Coronary Artery Segmentation and Skeletonization Based on Competing Fuzzy Connectedness Tree Introduction Method Fuzzy Connectedness and Relative Fuzzy Connectedness Theory Shared Path Effect of Relative Fuzzy Connectedness Competing Fuzzy Connectedness Algorithm Based on Connectedness Tree Centerline Extraction Algorithm Based on Fuzzy Connectedness Tree Results Discussion References Mixtures of Gaussians on Tensor Fields for DT-MRI Segmentation Introduction Segmentation Method Gaussian Mixtures on Tensors Level Set Evolution Experimental Results and Comparisons Summary Soft Level Set Coupling for LV Segmentation in Gated Perfusion SPECT Introduction The Data Model The Shape Model Parametrization in PCA Subspaces Prior Shape Probabilities by Kernel Density Estimation Including the Temporal Dimension Minimization Experimental Results and Discussion Nonrigid Image Registration with Subdivision Lattices: Application to Cardiac MR Image Analysis Introduction Method Modeling the Epicardium and Endocardium with Subdivision Surfaces Construction of a Subject-Specific Model of the LV Motion Tracking by Image Registration Results Cardiac Motion Simulator Normal Volunteers Discussion and Conclusions Spatio-temporal Registration of Real Time 3D Ultrasound to Cardiovascular MR Sequences Introduction Method Spatial Alignment Temporal Alignment - General Principles Results Validation Discussion Nonlinear Registration of Diffusion MR Images Based on Fiber Bundles Introduction Methods Fiber Bundles Registration of Fiber Bundles Polyaffine Framework Diffusion Tensor Rotation Measure for Registration Quality: FiT Experiments Discussion Multivariate Normalization with Symmetric Diffeomorphisms for Multivariate Studies Introduction Multivariate Symmetric Normalization Results Discussion Non-rigid Surface Registration Using Spherical Thin-Plate Splines Introduction Conformal Brain Surface Model Method STPS Deformation Compound Optimization Experiments Conclusion A Study of Hippocampal Shape Difference Between Genders by Efficient Hypothesis Test and Discriminative Deformation Introduction Method Review of the Efficient Permutation and Bootstrap Tests in [6] Extension of the Method in [6] to Multivariate Data Discriminative Deformation Results Conclusions Graph Cuts Framework for Kidney Segmentation with Prior Shape Constraints Introduction Proposed Segmentation Framework Shape Model Construction Image Appearance Models Graph Cuts Optimal Segmentation Experiments Validation Conclusions Attenuation Resilient AIF Estimation Based on Hierarchical Bayesian Modelling for First Pass Myocardial Perfusion MRI Introduction Theory and Methods Data Model Process Model Prior Information Simulation Study In Vivo Study Conclusion Real-Time Synthesis of Image Slices in Deformed Tissue from Nominal Volume Images Introduction Methods Results Discussion Conclusions Quantitative Comparison of Two Cortical Surface Extraction Methods Using MRI Phantoms Introduction Methods FreeSurfer Method Fast Accurate Cortex Extraction Method Phantom Generation Accuracy Assessment Results Discussion Stabilization of Image Motion for Robotic Assisted Beating Heart Surgery Introduction Method 3D Tissue Deformation Recovery Motion Compensated Imaging Experimental Setup and Results Validation with Simulated Data Validation with In Vivo Data Discussion and Conclusions References Robotic Assistant for Transperineal Prostate Interventions in 3T Closed MRI Introduction Methods System Layout and Architecture Mechanical Design Actuation and Control Results MR Compatibility System Integration Discussion Virtually Extended Surgical Drilling Device: Virtual Mirror for Navigated Spine Surgery Introduction Method AR System In-Situ Visualization Phantom Integration of the Virtual Mirror Results Discussion Conclusion Improved Statistical TRE Model When Using a Reference Frame Introduction Derivation of TRE by Composition of Transformations TRE Mean in a Reference Coordinate Frame TRE Covariance in a Reference Coordinate Frame TRE RMS in a Reference Coordinate Frame Monte Carlo Simulations Discussion Conclusions 3D/2D Image Registration: The Impact of X-Ray Views and Their Number Introduction 3D/2D Registration Method Images and “Gold Standard” Registrations Experiments Results Discussion References Magneto-Optic Tracking of a Flexible Laparoscopic Ultrasound Transducer for Laparoscope Augmentation Introduction System Setup Methods System Calibration Online Error Estimation Experimental Evaluation Results Ultrasound Calibration Error Laparoscope Augmentation Error Ultrasound Augmentation Discussion Conclusion Evaluation of a Novel Calibration Technique for Optically Tracked Oblique Laparoscopes Introduction Materials and Methods Camera Model Computation of Theta Computation of the Center Correction Term and the Homography Interpolation of the Parameters Experiments Accuracy Assessment Clinical Usability Discussion Fiducial-Free Registration Procedure for Navigated Bronchoscopy Introduction Method Point-Based Registration ICP-Based Registration In-Volume Maximization Algorithm Navigation System Setup Experiments and Results Conclusion and Discussion Automatic Target and Trajectory Identification for Deep Brain Stimulation (DBS) Procedures Introduction Materials and Methods Image Registration Data Preparation Probabilistic Functional Map Construction Clinical Application Results Surgical Targeting Accuracy Analysis Surgical Trajectory Identification Micro-Recording Data Defined STN Discussion References Application of Open Source Image Guided Therapy Software in MR-guided Therapies Introduction Extending Medical Image Processing Software for MR-guided Therapy Software Process Results MR-guided Brain Tumor Surgery In-Bore Prostate Biopsy In-Bore Laser Ablation Therapy of Brain Tumor In-Bore Microwave Ablation Therapy of Liver Tumor Slide-in-and-Out Ablation Therapy of Liver Tumor Slide-in-and-Out Brain Tumor Surgery with Commercial Navigation Software Discussion Statistical Atlases of Bone Anatomy: Construction, Iterative Improvement and Validation Introduction Method Results Conclusions and Future Work A New Benchmark for Shape Correspondence Evaluation Introduction Problem Description Proposed Method Generating Shape Instances Comparing a PDM Against the Ground Truth PDM Experiments Conclusion Automatic Inference of Sulcus Patterns Using 3D Moment Invariants Introduction Shape Space and 3D Moment Invariants Clustering Sulci into Patterns Results Discussion Classifier Selection Strategies for Label Fusion Using Large Atlas Databases Introduction Data and Methodology Experiments and Results Experiments Selection Strategy Comparisons Varying the Number of Classifiers Discussion Groupwise Combined Segmentation and Registration for Atlas Construction Introduction Methods The EM Algorithm for Single-Subject Segmentation Groupwise Segmentation Groupwise Non-rigid Registration Integrated Segmentation-Registration Interleaved Segmentation-Registration Results Evaluation of Methods on Simulated Data Average Brain Atlases of Preterm Infants at One and Two Years Discussion Subject-Specific Biomechanical Simulation of Brain Indentation Using a Meshless Method Introduction Meshless Method Support Domains and Moving Least Squares Shape Functions Force Calculation Explicit Time Integration Simulation of Swine Brain Indentation Geometry Boundary Conditions Material Properties Brain Indentation Experiment Results Discussion Towards an Identification of Tumor Growth Parameters from Time Series of Images Introduction Method Front Approximation of Reaction-Diffusion Equations Numerical Method Parameter Identification Problem Results Discussion Real-Time Modeling of Vascular Flow for Angiography Simulation Introduction Real-Time Flow Computation in Large Vascular Networks Flow Model Modeling Local Blood Flow Alterations Contrast Agent Propagation Advection-Diffusion Model Visualization Results Conclusion A Training System for Ultrasound-Guided Needle Insertion Procedures Introduction Methods Offline Processes Soft Tissue Deformation Modelling the Needle Simulation of Ultrasound-Specific Artifacts Results and Evaluation Discussion Anisotropic Wave Propagation and Apparent Conductivity Estimation in a Fast Electrophysiological Model: Application to XMR Interventional Imaging Introduction Anisotropic Fast Marching Electrophysiology Model Validation of Algorithm Apparent Conductivity Estimation Procedure Propagation in a Slab of Tissue Application to Clinical Data Conclusion and Future Work Automatic Trajectory Planning for Deep Brain Stimulation: A Feasibility Study Introduction Previous Work Method Overview Segmentation of Anatomical Structures Path Planning Results Preliminary Validation Discussion Automatic Segmentation of Blood Vessels from Dynamic MRI Datasets Introduction Related Work Segmentation Algorithm Experiments and Discussion Conclusion Automated Planning of Scan Geometries in Spine MRI Scans Introduction Method Image Data Anatomy Recognition Scan Geometry Planning Results Conclusion Cardiac-Motion Compensated MR Imaging and Strain Analysis of Ventricular Trabeculae Introduction Method Adaptive Imaging with COMB Multi-tagging In-vivo Trabecular Strain Analysis Results Conclusions References High Throughput Analysis of Breast Cancer Specimens on the Grid Introduction Grid Enabled Tissue Microarray and Features Dimension Reduction and Classification Dimension Reduction Classification Experiments Conclusion Thoracic CT-PET Registration Using a 3D Breathing Model Introduction Breathing Models Combining Breathing Model and Image Registration Registration Method Adapted to Pathologies Results and Discussion Quantification of Blood Flow from Rotational Angiography Introduction Method Extraction of Flow Maps and Reliability Maps Model-Based Flow Map Simulation Flow Map Fitting Validation Results Discussion Modeling Glioma Growth and Mass Effect in 3D MR Images of the Brain Introduction Methods Numerical Methods Results Conclusions and Further Research Towards Tracking Breast Cancer Across Medical Images Using Subject-Specific Biomechanical Models Introduction Methods Subject-Specific Breast Geometry Neutral Buoyancy Imaging and the Unloaded Configuration Loading and Boundary Conditions Subject-Specific Mechanical Properties Results Predicting the Prone Gravity-Loaded Configuration Discussion and Conclusions Inter-subject Modelling of Liver Deformation During Radiation Therapy Introduction Methods Data Acquisition Inter-subject Correspondence Statistical Modelling Drift Prediction Results Discussion and Conclusions Contributions to 3D Diffeomorphic Atlas Estimation: Application to Brain Images Introduction The Group of Diffeomorphisms in $R^n$ Logarithm of Diffeomorphisms Inverse Scaling and Squaring Method (ISS) Baker-Campbell-Hausdorff (BCH) Formula Statistics on 3D Diffeomorphisms Average Computation Using BCH Principal Geodesic Analysis Results Logarithm of Diffeomorphisms Statistical Brain Atlas Conclusions Measuring Brain Variability Via Sulcal Lines Registration: A Diffeomorphic Approach Introduction Registering Lines Sets Lines Modelled as Currents Diffeomorphic Registration Experiments and Results Statistics on Deformations Variance of Deformations Principal Modes of Deformation Conclusion and Perspectives Effects of Registration Regularization and Atlas Sharpness on Segmentation Accuracy Introduction Theory and Implementation Joint Registration and Segmentation Model Instantiation Atlas Building Implementation Experiments Generalized Surface Flows for Deformable Registration and Cortical Matching Introduction Method Object Alignment as a Geometric Optimization Generalized Hausdorff Flow Deformation Priors Matching Cortical Surfaces Results Discussion and Future Work Real-Time Nonlinear Finite Element Analysis for Surgical Simulation Using Graphics Processing Units Introduction Total Lagrangian Explicit Dynamic Framework GPU Implementation of the TLED Algorithm Render Pass 1: Element Loop Render Pass 2: Node Loop Performance of the Algorithm Stretching of a Cube Model Indentation of a Brain Model Discussion and Conclusions Modeling of Needle-Tissue Interaction Using Ultrasound-Based Motion Estimation Introduction Experiment Setup Needle Insertion Device Phantom Construction Tissue Deformation Tracking Force and Displacement Measurements Needle Shaft Force Distribution Conclusion and Future Work Modelling Intravasation of Liquid Distension Media in Surgical Simulators Introduction Methods Results Discussion Conclusion and Future Work Registration of Cardiac SPECT/CT Data Through Weighted Intensity Co-occurrence Priors Introduction Description of Method Image Registration Using Prior Knowledge Weighted Jensen-Shannon Divergence for Statistical Priors Experiments Discussion and Conclusion Prostate Implant Reconstruction with Discrete Tomography Introduction Method Experiments and Results References A New and General Method for Blind Shift-Variant Deconvolution of Biomedical Images Introduction Related Work Method Model Algorithm Results Quantitative Evaluation 3D Ultrasound Restoration of a Volunteer's Liver Comparison to a Non-blind Shift-Invariant Method Conclusion Registration of Lung Tissue Between Fluoroscope and CT Images: Determination of Beam Gating Parameters in Radiotherapy Introduction Method Active Shape Models (ASM) and Their Limitations Automatic Initialization of ASM Occluded Lung Area Segmentation Registration of the Segmented Lung Areas Results Discussion Null Point Imaging: A Joint Acquisition/Analysis Paradigm for MR Classification Introduction Sub-optimality of Independent Acquisition and Analysis A Joint Approach to Classification Method Imaging Brain Tissues with MR Imaging Tissue Boundaries with NPI Results Elements of Validation Conclusion Characterizing Task-Related Temporal Dynamics of Spatial Activation Distributions in fMRI BOLD Signals Introduction Data Acquisition and Preprocessing fMRI Data Acquisition fMRI PreProcessing Methods Feature Time Course Extraction Activation Detection Activation Pattern Discrimination Results and Discussion Conclusions References Contraction Detection in Small Bowel from an Image Sequence of Wireless Capsule Endoscopy Introduction Characteristics of Contractions in a WCE Image Sequence Contractions Detection by Temporal and Spatial Features Edges Extractions to Detect Possible Contractions Evaluations of Similarity for Eliminating Non Contractions Detect True Contractions Through Spatial Features Experimental Results Conclusion Boundary-Specific Cost Functions for Quantitative Airway Analysis Introduction Method Airway Centerline Extraction Boundary Determination Results Conclusions References Automatic Dry Eye Detection Introduction Algorithm Fitting a Circular Model Computing Image Translation Segmentation of the Dry Area Results Conclusion and Future Research Ultrasound Myocardial Elastography and Registered 3D Tagged MRI: Quantitative Strain Comparison Introduction Methods Ultrasound and Tagged MRI Data Acquisition Rigid-Body Registration of 2D Elastography with 3D Tagged MRI Strain Estimation Experimental Results Conclusion Robust Kernel Methods for Sparse MR Image Reconstruction Introduction Methods Robust Error Norms and $L_0$-Continuation Multiscale Image Sparsity Practical Implementation and Numerical Considerations Results Summary How Do Registration Parameters Affect Quantitation of Lung Kinematics? Introduction Materials and Methods Data Acquisition Symmetric, Diffeomorphic Non-rigid Registration Estimation of Pulmonary Motion Assessment of Motion Quantitation Accuracy Results Effect of Image Resolution Effect of Image Similarity Metrics Discussion Diffuse Parenchymal Lung Diseases: 3D Automated Detection in MDCT Introduction Multiresolution Decomposition of Image Lung Parenchyma Hierarchic Classification of the Lung Tissue Results and Discussion Unsupervised Reconstruction of a Patient-Specific Surface Model of a Proximal Femur from Calibrated Fluoroscopic Images Introduction Supervised 2D/3D Reconstruction Scheme Image Acquisition Statistical Model of the Proximal Femur 2D/3D Reconstruction Scheme Supervised Initialization Approach for Unsupervised Initialization Proximal Femur Model Geometrical Model Fitting by Particle Filter Unsupervised Initialization of the PDM Experimental Results Conclusions A New Method for Spherical Object Detection and Its Application to Computer Aided Detection of Pulmonary Nodules in CT Images Introduction Overall Scheme Methods Basic Shape of Pulmonary Nodules Surface Normal Overlap Air/Non-air Segmentation Using Optimal Thresholding Local Maximum Finding Local Shape Features Local Shape Controlled Voting Experimental Methods and Results Database Validation Conclusions Global Medical Shape Analysis Using the Laplace-Beltrami Spectrum Motivation and Background Shape-DNA: The Laplace-Beltrami Spectrum Statistical Analysis of Groups of LB Spectra Results Conclusion Real-Time Tracking of the Left Ventricle in 3D Echocardiography Using a State Estimation Approach Introduction Deformable Contour Tracking Framework Motion Model Edge Measurements Measurement Assimilation and State Update Experiments Results Discussion and Conclusion Vessel and Intracranial Aneurysm Segmentation Using Multi-range Filters and Local Variances Introduction Methodology Experimental Results Conclusion Fully Automatic Segmentation of the Hippocampus and the Amygdala from MRI Using Hybrid Prior Knowledge Introduction Method Construction of the $Am$ and $Hc$ Probabilistic Atlases Initialization of the Deformation Introduction of Hybrid Prior Knowledge Atlas Mismatch: Automatic Detection and Correction Strategies Performance Evaluation Validation Data Validation Results in Young Healthy Controls Evaluation on Data from Mixed Cohort Discussion and Conclusion Clinical Neonatal Brain MRI Segmentation Using Adaptive Nonparametric Data Models and Intensity-Based Markov Priors Introduction Bayesian Segmentation with Markov Random Fields Adaptive, Nonparametric Tissue-Intensity Models Probabilistic Markov Intensity Priors Using SVMs Experiments and Validation Conclusion Active-Contour-Based Image Segmentation Using Machine Learning Techniques Introduction Motivation Previous Work Novelty of Our Approach Learning the Shape Prior Manifold Manifold Learning and Diffusion Maps Extending the Embedding Based on Nyström Extension Image Segmentation Using the Shape Prior Manifold Image Segmentation as a Variational Problem Designing and Integrating the Shape Prior Term Results and Discussion Estimating the Dimension of the Shape Prior Manifold Closest Neighbors Ventricle Nucleus Segmentation from MRI with Occlusion Conclusion and Future Work Methods for Inverting Dense Displacement Fields: Evaluation in Brain Image Registration Introduction Method Inversion Problem Image Registration Experiment Results Discussion Registration of High Angular ResolutionDiffusion MRI Images Using $4^th$ Order Tensors Introduction Registration of $4^th$-Order Tensor Fields $4^th$-Order Symmetric Positive Tensors from DW-MRI Distance Measure Registration 3D Affine Transformation of $4^th$-Order Tensors Experimental Results Conclusions Non-rigid Image Registration Using Graph-cuts Introduction Theory and Methodology Formulation of the Energy Function Optimization Via Graph-cuts Experimental Results Conclusion Probabilistic Speckle Decorrelation for 3D Ultrasound Introduction Probabilistic Speckle Decorrelation Model Estimation of Elevational Separations Experiments Conclusions De-enhancing the Dynamic Contrast-Enhanced Breast MRI for Robust Registration Introduction Methods Problem Definition Enhancement Map Estimating Enhancement Map Iterative Optimization Experimental Results Experiments on Simulated Data Experiments on Real Data Conclusion Deformable Density Matching for 3D Non-rigid R The two-volume set LNCS 4791 and LNCS 4792 constitute the refereed proceedings of the 10th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2007, held in Brisbane, Australia, in October/November 2007. The program committee carefully selected 38 revised full papers and 199 revised poster papers from 637 submissions for presentation in two volumes, based on rigorous peer reviews. The first volume contains 120 contributions related to diffusion tensor imaging and computing, cardiac imaging and robotics, image segmentation and classification, image guided intervention and robotics, general medical image computing, computer assisted intervention and robotics, computational anatomy, computational physiology, innovative clinical and biological applications, physiology and physics-based image computing, brain atlas computing, and simulation of therapy. The second volume includes 117 papers related to computer assisted intervention and robotics, visualization and interaction, neuroscience image computing, computational anatomy, innovative clinical and biological applications, spectroscopic and cellular imaging, spatio-temporal registration, general medical image computing, general biological imaging computing, computational physiology Constitutes the refereed proceedings of the 10th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2007, held in Brisbane, Australia, in October/November 2007. The first volume contains 120 contributions related to diffusion tensor imaging and computing, cardiac imaging and robotics, image segmentation and classification, image guided intervention and robotics, general medical image computing, computer assisted intervention and robotics, computational anatomy, computational physiology, innovative clinical and biological applications, physiology and physics-based image computing, brain atlas computing, and simulation of therapy. The second volume includes 117 papers related to computer assisted intervention and robotics, visualization and interaction, neuroscience image computing, computational anatomy, innovative clinical and biological applications, spectroscopic and cellular imaging, spatio-temporal registration, general medical image computing, general biological imaging computing, computational physiology