Information Processing in Medical Imaging: 19th International医学成像的信息处理/2005年国际会议录

This book constitutes the refeered proceedings of the 19th International Conference on Information Processing in Medical Imaging, IPMI 2005, held in Glenwood Springs, Colorado, in July 2005.
The 63 revised full papers presented were carefully reviewed and selected from 245 submissions. The papers are organized in topical sections on shape and population modeling, diffusion tensor imaging and functional magnetic resonance, segmentation and filtering, small animal imaging, surfaces and segmentation, applications, image registration, registration and segmentation.

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Shape and Population Modeling
A Unified Information-Theoretic Approach to Groupwise Non-rigid Registration and Model Building
Hypothesis Testing with Nonlinear Shape Models
Extrapolation of Sparse Tensor Fields: Application to the Modeling of Brain Variability
Bayesian Population Modeling of Effective Connectivity
Diffusion Tensor Imaging and Functional Magnetic Resonance
Fiber Tracking in q-Ball Fields Using Regularized Particle Trajectories
Approximating Anatomical Brain Connectivity with Diffusion Tensor MRI Using Kernel-Based Diffusion Simulations
Maximum Entropy Spherical Deconvolution for Diffusion MRI
From Spatial Regularization to Anatomical Priors in fMRI Analysis
Segmentation and Filtering
CLASSIC: Consistent Longitudinal Alignment and Segmentation for Serial Image Computing
Robust Active Appearance Model Matching
Simultaneous Segmentation and Registration of Contrast-Enhanced Breast MRI
Multiscale Vessel Enhancing Diffusion in CT Angiography Noise Filtering
Poster Session 1
Information Fusion in Biomedical Image Analysis: Combination of Data vs. Combination of Interpretations
Parametric Medial Shape Representation in 3-D via the Poisson Partial Differential Equation with Non-linear Boundary Conditions
Diffeomorphic Nonlinear Transformations: A Local Parametric Approach for Image Registration
A Framework for Registration, Statistical Characterization and Classification of Cortically Constrained Functional Imaging Data
PET Image Reconstruction: A Robust State Space Approach
Multi-dimensional Mutual Information Based Robust Image Registration Using Maximum Distance-Gradient-Magnitude
Tissue Perfusion Diagnostic Classification Using a Spatio-temporal Analysis of Contrast Ultrasound Image Sequences
……
Small Animal Imaging
Surfaces and Segmentation
Applications
Image Registration
Roster Session 2
Registration and Segmentation
Author Index