Segmentation -- A Shape-Guided Deformable Model with Evolutionary Algorithm Initialization for 3D Soft Tissue Segmentation -- Shape Regression Machine -- Active Mean Fields: Solving the Mean Field Approximation in the Level Set Framework -- Liver Segmentation Using Sparse 3D Prior Models with Optimal Data Support -- Cardiovascular Imaging -- Adaptive Non-rigid Registration of Real Time 3D Ultrasound to Cardiovascular MR Images -- Multi-slice Three-Dimensional Myocardial Strain Tensor Quantification Using zHARP -- Bayesian Tracking of Elongated Structures in 3D Images -- Effective Statistical Edge Integration Using a Flux Maximizing Scheme for Volumetric Vascular Segmentation in MRA -- Detection and Labeling -- Joint Sulci Detection Using Graphical Models and Boosted Priors -- Rao-Blackwellized Marginal Particle Filtering for Multiple Object Tracking in Molecular Bioimaging -- Spine Detection and Labeling Using a Parts-Based Graphical Model -- Lung Nodule Detection Via Bayesian Voxel Labeling -- Poster Session I -- Functional Interactivity in fMRI Using Multiple Seeds’ Correlation Analyses – Novel Methods and Comparisons -- Learning Best Features and Deformation Statistics for Hierarchical Registration of MR Brain Images -- Information-Theoretic Analysis of Brain White Matter Fiber Orientation Distribution Functions -- Segmentation of Sub-cortical Structures by the Graph-Shifts Algorithm -- High-Quality Consistent Meshing of Multi-label Datasets -- Digital Homeomorphisms in Deformable Registration -- Incorporating DTI Data as a Constraint in Deformation Tensor Morphometry Between T1 MR Images -- LV Segmentation Through the Analysis of Radio Frequency Ultrasonic Images -- Chestwall Segmentation in 3D Breast Ultrasound Using a Deformable Volume Model -- Automatic Cortical Segmentation in the Developing Brain -- Comparing Pairwise and Simultaneous Joint Registrations of Decorrelating Interval Exams Using Entropic Graphs -- Combining Radiometric and Spatial Structural Information in a New Metric for Minimal Surface Segmentation -- A Fuzzy, Nonparametric Segmentation Framework for DTI and MRI Analysis -- Symmetric Positive 4 th Order Tensors & Their Estimation from Diffusion Weighted MRI -- Atlas-to-Image Non-rigid Registration by Minimization of Conditional Local Entropy -- Shape Modeling and Analysis with Entropy-Based Particle Systems -- A Volumetric Approach to Quantifying Region-to-Region White Matter Connectivity in Diffusion Tensor MRI -- Brain Image Registration Using Cortically Constrained Harmonic Mappings -- Probabilistic Clustering and Quantitative Analysis of White Matter Fiber Tracts -- Multi-fiber Reconstruction from Diffusion MRI Using Mixture of Wisharts and Sparse Deconvolution -- A Hamiltonian Particle Method for Diffeomorphic Image Registration -- Inter and Intra-modal Deformable Registration: Continuous Deformations Meet Efficient Optimal Linear Programming -- Tracer Kinetics Guided Dynamic PET Reconstruction -- Maximum Likelihood Estimators in Magnetic Resonance Imaging -- Quantifying Metabolic Asymmetry Modulo Structure in Alzheimer’s Disease -- Adaptive Time-Frequency Models for Single-Trial M/EEG Analysis -- Imaging Brain Activation Streams from Optical Flow Computation on 2-Riemannian Manifolds -- High Level Group Analysis of FMRI Data Based on Dirichlet Process Mixture Models -- Poster Session II -- Insight into Efficient Image Registration Techniques and the Demons Algorithm -- Divergence-Based Framework for Diffusion Tensor Clustering, Interpolation, and Regularization -- Localized Components Analysis -- Regional Appearance in Deformable Model Segmentation -- Fully Automated Registration of First-Pass Myocardial Perfusion MRI Using Independent Component Analysis -- Octree Grid Topology Preserving Geometric Deformable Model for Three-Dimensional Medical Image Segmentation -- High-Dimensional Entropy Estimation for Finite Accuracy Data: R-NN Entropy Estimator -- Kernel-Based Manifold Learning for Statistical Analysis of Diffusion Tensor Images -- An Anatomical Equivalence Class Based Joint Transformation-Residual Descriptor for Morphological Analysis -- Incorporation of Regional Information in Optimal 3-D Graph Search with Application for Intraretinal Layer Segmentation of Optical Coherence Tomography Images -- Localized Maximum Entropy Shape Modelling -- Computer Aided Detection of Pulmonary Embolism with Tobogganing and Mutiple Instance Classification in CT Pulmonary Angiography -- Measures for Pathway Analysis in Brain White Matter Using Diffusion Tensor Images -- Estimating the Mesorectal Fascia in MRI -- A Marginalized MAP Approach and EM Optimization for Pair-Wise Registration -- Geometry Driven Volumetric Registration -- A Recursive Anisotropic Fast Marching Approach to Reaction Diffusion Equation: Application to Tumor Growth Modeling -- Population-Based Fitting of Medial Shape Models with Correspondence Optimization -- Robust Parametric Modeling Approach Based on Domain Knowledge for Computer Aided Detection of Vertebrae Column Metastases in MRI -- Nonrigid Image Registration Using Conditional Mutual Information -- Non-parametric Surface-Based Regularisation for Building Statistical Shape Models -- Geometrically Proper Models in Statistical Training -- Registration-Derived Estimates of Local Lung Expansion as Surrogates for Regional Ventilation.