The two-volume set LNCS 5761 and LNCS 5762 constitute the refereed proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2009, held in London, UK, in September 2009.
Based on rigorous peer reviews, the program committee carefully selected 259 revised papers from 804 submissions for presentation in two volumes. The second volume includes 134 papers divided in topical sections on shape modelling and analysis; motion analyysis, physical based modelling and image reconstruction; neuro, cell and multiscale image analysis; image analysis and computer aided diagnosis; and image segmentation and analysis.
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Shape Modelling and Analysis.- Building Shape Models from Lousy Data.- Statistical Location Model for Abdominal Organ Localization.- Volumetric Shape Model for Oriented Tubular Structure from DTI Data.- A Generic Probabilistic Active Shape Model for Organ Segmentation.- Organ Segmentation with Level Sets Using Local Shape and Appearance Priors.- Liver Segmentation Using Automatically Defined Patient Specific B-Spline Surface Models.- Airway Tree Extraction with Locally Optimal Paths.- A Deformable Surface Model for Vascular Segmentation.- A Deformation Tracking Approach to 4D Coronary Artery Tree Reconstruction.- Automatic Extraction of Mandibular Nerve and Bone from Cone-Beam CT Data.- Conditional Variability of Statistical Shape Models Based on Surrogate Variables.- Surface/Volume-Based Articulated 3D Spine Inference through Markov Random Fields.- A Shape Relationship Descriptor for Radiation Therapy Planning.- Feature-Based Morphometry.- Constructing a Dictionary of Human Brain Folding Patterns.- Topological Correction of Brain Surface Meshes Using Spherical Harmonics.- Teichmüller Shape Space Theory and Its Application to Brain Morphometry.- A Tract-Specific Framework for White Matter Morphometry Combining Macroscopic and Microscopic Tract Features.- Shape Modelling for Tract Selection.- Topological Characterization of Signal in Brain Images Using Min-Max Diagrams.- Particle Based Shape Regression of Open Surfaces with Applications to Developmental Neuroimaging.- Setting Priors and Enforcing Constraints on Matches for Nonlinear Registration of Meshes.- Parametric Representation of Cortical Surface Folding Based on Polynomials.- Intrinsic Regression Models for Manifold-Valued Data.- Gender Differences in Cerebral Cortical Folding: Multivariate Complexity-Shape Analysis with Insights into Handling Brain-Volume Differences.- Cortical Shape Analysis in the Laplace-Beltrami Feature Space.- Shape Analysis of Human Brain Interhemispheric Fissure Bending in MRI.- Subject-Matched Templates for Spatial Normalization.- Mapping Growth Patterns and Genetic Influences on Early Brain Development in Twins.- Tensor-Based Morphometry with Mappings Parameterized by Stationary Velocity Fields in Alzheimer's Disease Neuroimaging Initiative.- Motion Analysis, Physical Based Modelling and Image Reconstruction.- High-Quality Model Generation for Finite Element Simulation of Tissue Deformation.- Biomechanically-Constrained 4D Estimation of Myocardial Motion.- Predictive Simulation of Bidirectional Glenn Shunt Using a Hybrid Blood Vessel Model.- Surgical Planning and Patient-Specific Biomechanical Simulation for Tracheal Endoprostheses Interventions.- Mesh Generation from 3D Multi-material Images.- Interactive Simulation of Flexible Needle Insertions Based on Constraint Models.- Real-Time Prediction of Brain Shift Using Nonlinear Finite Element Algorithms.- Model-Based Estimation of Ventricular Deformation in the Cat Brain.- Contact Studies between Total Knee Replacement Components Developed Using Explicit Finite Elements Analysis.- A Hybrid 1D and 3D Approach to Hemodynamics Modelling for a Patient-Specific Cerebral Vasculature and Aneurysm.- Incompressible Cardiac Motion Estimation of the Left Ventricle Using Tagged MR Images.- Vibro-Elastography for Visualization of the Prostate Region: Method Evaluation.- Modeling Respiratory Motion for Cancer Radiation Therapy Based on Patient-Specific 4DCT Data.- Correlating Chest Surface Motion to Motion of the Liver Using ?-SVR - A Porcine Study.- Respiratory Motion Estimation from Cone-Beam Projections Using a Prior Model.- Heart Motion Abnormality Detection via an Information Measure and Bayesian Filtering.- Automatic Image-Based Cardiac and Respiratory Cycle Synchronization and Gating of Image Sequences.- Dynamic Cone Beam Reconstruction Using a New Level Set Formulation.- Spatio-temporal Reconstruction of dPET Data Using Complex Wavelet Regularisation.- Evaluation of q-Space Sampling Strategies for the Diffusion Magnetic Resonance Imaging.- On the Blurring of the Funk-Radon Transform in Q-Ball Imaging.- Multiple Q-Shell ODF Reconstruction in Q-Ball Imaging.- Neuro, Cell and Multiscale Image Analysis.- Lossless Online Ensemble Learning (LOEL) and Its Application to Subcortical Segmentation.- Improved Maximum a Posteriori Cortical Segmentation by Iterative Relaxation of Priors.- Anatomically Informed Bayesian Model Selection for fMRI Group Data Analysis.- A Computational Model of Cerebral Cortex Folding.- Tensor-Based Morphometry of Fibrous Structures with Application to Human Brain White Matter.- A Fuzzy Region-Based Hidden Markov Model for Partial-Volume Classification in Brain MRI.- Brain Connectivity Using Geodesics in HARDI.- Functional Segmentation of fMRI Data Using Adaptive Non-negative Sparse PCA (ANSPCA).- Genetics of Anisotropy Asymmetry: Registration and Sample Size Effects.- Extending Genetic Linkage Analysis to Diffusion Tensor Images to Map Single Gene Effects on Brain Fiber Architecture.- Vascular Territory Image Analysis Using Vessel Encoded Arterial Spin Labeling.- Predicting MGMT Methylation Status of Glioblastomas from MRI Texture.- Tumor Invasion Margin on the Riemannian Space of Brain Fibers.- A Conditional Random Field Approach for Coupling Local Registration with Robust Tissue and Structure Segmentation.- Robust Atlas-Based Brain Segmentation Using Multi-structure Confidence-Weighted Registration.- Discriminative, Semantic Segmentation of Brain Tissue in MR Images.- Use of Simulated Atrophy for Performance Analysis of Brain Atrophy Estimation Approaches.- Fast and Robust 3-D MRI Brain Structure Segmentation.- Multiple Sclerosis Lesion Segmentation Using an Automatic Multimodal Graph Cuts.- Towards Accurate, Automatic Segmentation of the Hippocampus and Amygdala from MRI.- An Object-Based Method for Rician Noise Estimation in MR Images.- Cell Segmentation Using Front Vector Flow Guided Active Contours.- Segmentation and Classification of Cell Cycle Phases in Fluorescence Imaging.- Steerable Features for Statistical 3D Dendrite Detection.- Graph-Based Pancreatic Islet Segmentation for Early Type 2 Diabetes Mellitus on Histopathological Tissue.- Detection of Spatially Correlated Objects in 3D Images Using Appearance Models and Coupled Active Contours.- Intra-retinal Layer Segmentation in Optical Coherence Tomography Using an Active Contour Approach.- Mapping Tissue Optical Attenuation to Identify Cancer Using Optical Coherence Tomography.- Analysis of MR Images of Mice in Preclinical Treatment Monitoring of Polycystic Kidney Disease.- Actin Filament Tracking Based on Particle Filters and Stretching Open Active Contour Models.- Image Analysis and Computer Aided Diagnosis.- Toward Early Diagnosis of Lung Cancer.- Lung Extraction, Lobe Segmentation and Hierarchical Region Assessment for Quantitative Analysis on High Resolution Computed Tomography Images.- Learning COPD Sensitive Filters in Pulmonary CT.- Automated Anatomical Labeling of Bronchial Branches Extracted from CT Datasets Based on Machine Learning and Combination Optimization and Its Application to Bronchoscope Guidance.- Multi-level Ground Glass Nodule Detection and Segmentation in CT Lung Images.- Global and Local Multi-valued Dissimilarity-Based Classification:…