Information Processing in Medical Imaging: 21st International Conference, Ipmi 2009, Williamsburg, Va, USA, July 5-10, 2009, Proceedings (Paperback, 2009)

Diffusion Imaging.- Diffusion Propagator Imaging: Using Laplace's Equation and Multiple Shell Acquisitions to Reconstruct the Diffusion Propagator.- Clustering of the Human Skeletal Muscle Fibers Using Linear Programming and Angular Hilbertian Metrics.- PET Imaging.- High-Resolution Adaptive PET Imaging.- Dynamic Dual-Tracer PET Reconstruction.- Image Registration.- DRAMMS: Deformable Registration via Attribute Matching and Mutual-Saliency Weighting.- Simultaneous Consideration of Spatial Deformation and Tensor Orientation in Diffusion Tensor Image Registration Using Local Fast Marching Patterns.- Functional Networks.- Discovering Sparse Functional Brain Networks Using Group Replicator Dynamics (GRD).- Multimodal Functional Imaging Using fMRI-Informed Regional EEG/MEG Source Estimation.- Space Curves.- Tractography Segmentation Using a Hierarchical Dirichlet Processes Mixture Model.- A Statistical Model of White Matter Fiber Bundles Based on Currents.- Tractography.- Neural Tractography Using an Unscented Kalman Filter.- Multi-fiber Reconstruction from DW-MRI Using a Continuous Mixture of Hyperspherical von Mises-Fisher Distributions.- Poster Session I.- Regression Models of Atlas Appearance.- Non-rigid Image Registration with Uniform Spherical Structure Patterns.- Joint Bayesian Cortical Sulci Recognition and Spatial Normalization.- Image-to-Physical Registration for Image-Guided Interventions Using 3-D Ultrasound and an Ultrasound Imaging Model.- Automatic Cortical Sulcal Parcellation Based on Surface Principal Direction Flow Field Tracking.- A New Information-Theoretic Measure to Control the Robustness-Sensitivity Trade-Off for DMFFD Point-Set Registration.- Generalized L2-Divergence and Its Application to Shape Alignment.- Fully-Automated White Matter Hyperintensity Detection with Anatomical Prior Knowledge and without FLAIR.- Identification of Growth Seeds in the Neonate Brain through Surfacic Helmholtz Decomposition.- Active Imaging with Dual Spin-Echo Diffusion MRI.- Voxel-by-Voxel Functional Diffusion Mapping for Early Evaluation of Breast Cancer Treatment.- MRI Tissue Classification and Bias Field Estimation Based on Coherent Local Intensity Clustering: A Unified Energy Minimization Framework.- A Unified Framework for MR Based Disease Classification.- MARM: Multiscale Adaptive Regression Models for Neuroimaging Data.- Automatic Segmentation of Brain Structures Using Geometric Moment Invariants and Artificial Neural Networks.- Adaptive Kernels for Multi-fiber Reconstruction.- Smooth 3-D Reconstruction for 2-D Histological Images.- Microscopy.- Nonnegative Mixed-Norm Preconditioning for Microscopy Image Segmentation.- Coupled Minimum-Cost Flow Cell Tracking.- Exploratory Analyses.- Persistence Diagrams of Cortical Surface Data.- Exploratory fMRI Analysis without Spatial Normalization.- Features and Detection.- Marginal Space Learning for Efficient Detection of 2D/3D Anatomical Structures in Medical Images.- A General and Unifying Framework for Feature Construction, in Image-Based Pattern Classification.- Image Guided Surgery.- Bayesian Registration via Local Image Regions: Information, Selection and Marginalization.- A Non-rigid Registration Framework That Accommodates Resection and Retraction.- Shape Analysis.- Discriminative Shape Alignment.- Inverse-Consistent Surface Mapping with Laplace-Beltrami Eigen-Features.- Poster Session II.- Estimating Uncertainty in Brain Region Delineations.- Unifying Encoding of Spatial Information in Mutual Information for Nonrigid Registration.- Projected Generalized Procrustes Alignment.- HARDI Denoising: Variational Regularization of the Spherical Apparent Diffusion Coefficient sADC.- Coronary Lumen Segmentation Using Graph Cuts and Robust Kernel Regression.- Dense Registration with Deformation Priors.- Multivariate High-Dimensional Cortical Folding Analysis, Combining Complexity and Shape, in Neonates with Congenital Heart Disease.- The 3D Moore-Rayleigh Test for the Quantitative