Information Processing in Medical Imaging: 20th International Conference, IPMI 2007 Kerkrade, The Netherlands, July 2-6, 2007 Proceedings (Paperback)

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 Anat