Information Processing in Medical Imaging

Objective Assessment of Image Quality.- On the Difficulty of Detecting Tumors in Mammograms.- Objective Comparison of Quantitative Imaging Modalities Without the Use of a Gold Standard.- Theory for Estimating Human-Observer Templates in Two-Alternative Forced-Choice Experiments.- Shape Modeling.- The Active Elastic Model.- A Minimum Description Length Approach to Statistical Shape Modelling.- Multi-scale 3-D Deformable Model Segmentation Based on Medial Description.- Automatic 3D ASM Construction via Atlas-Based Landmarking and Volumetric Elastic Registration.- Molecular and Diffusion Tensor Imaging.- A Regularization Scheme for Diffusion Tensor Magnetic Resonance Images.- Distributed Anatomical Brain Connectivity Derived from Diffusion Tensor Imaging.- Study of Connectivity in the Brain Using the Full Diffusion Tensor from MRI.- Poster Session I: Registration and Structural Analysis.- Incorporating Image Processing in a Clinical Decision support system.- Automated Estimation of Brain Volume in Multiple Sclerosis with BICCR.- Automatic Image Registration for MR and Ultrasound Cardiac Images.- Estimating Sparse Deformation Fields Using Multiscale Bayesian Priors and 3-D Ultrasound.- Automatic Registration of Mammograms Based on Linear Structures.- Tracking Brain Deformations in Time-Sequences of 3D US Images.- Robust Multimodal Image Registration Using Local Frequency Representations.- Steps Toward a Stereo-Camera-Guided Biomechanical Model for Brain Shift Compensation.- Poster Session I: Functional Image analysis.- Spatiotemporal Analysis of Functional Images Using the Fixed Effect Model.- Spatio-Temporal Covariance Model for Medical Images Sequences: Application to Functional MRI Data.- Microvascular Dynamics in the Nailfolds of Scleroderma Patients Studied Using Na-Fluorescein dye.- Time Curve Analysis Techniques for Dynamic Contrast MRI Studies.- Detecting Functionally Coherent Networks in fMRI Data of the Human Brain Using Replicator Dynamics.- Smoothness Prior Information in Principal Component Analysis of Dynamic Image Data.- Estimation of Baseline Drifts in fMRI.- Analyzing the Neocortical Fine-Structure.- fMRI/EEG/MEG.- Motion Correction Algorithms of the Brain Mapping Community Create Spurious Functional Activations.- Estimability of Spatio-Temporal Activation in fMRI.- A New Approach to the MEG/EEG Inverse Problem for the Recovery of Cortical Phase-Synchrony.- Neural Field Dynamics on the Folded Three-Dimensional Cortical Sheet and Its Forward EEG and MEG.- Depormable Registration.- A Unified Feature Registration Method for Brain Mapping.- Cooperation between Local and Global Approaches to Register Brain Images.- Landmark and Intensity-Based, Consistent Thin-Plate Spline Image Registration.- Validation of Non-rigid Registration Using Finite Element Methods.- Poster Session II:Shape Analysis.- A Linear Time Algorithm for Computing the Euclidean Distance Transform in Arbitrary Dimensions.- An Elliptic Operator for Constructing Conformal Metrics in Geometric Deformable Models.- Using a Linear Diagnostic Function and Non-rigid Registration to Search for Morphological Differences Between Populations: An Example Involving the Male and Female Corpus Callosum.- Shape Constrained Deformable Models for 3D Medical Image Segmentation.- Stenosis Detection Using a New Shape Space for Second Order 3D-Variations.- Graph-Based Topology Correction for Brain Cortex Segmentation.- Intuitive, Localized Analysis of Shape Variability.- A Sequential 3D Thinning Algorithm and Its Medical Applications.- Poster Session II: Functional Image Analysis.- An Adaptive Level Set Method for Medical Image Segmentation.- Partial Volume Segmentation of Cerebral MRI Scans with Mixture Model Clustering.- Nonlinear Edge Preserving Smoothing and Segmentation of 4-D Medical Images via Scale-Space Fingerprint Analysis.- Spatio-Temporal Segmentation of Active Multiple Sclerosis Lesions in Serial MRI Data.- Time-Continuous Segmentation of Cardiac Image Sequences Using Active Appearance Motion Models.- Feature Enhancement in Low Quality Images with Application to Echocardiography.- 3D Vascular Segmentation Using MRA Statistics and Velocity Field Information in PC-MRA.- Markov Random Field Models for Segmentation of PET Images.- Analysis of Brain Structure.- Statistical Study on Cortical Sulci of Human Brains.- Detecting Sisease-Specific Patterns of Brain Structure Using Cortical Pattern Matching and a Population-Based Probabilistic Brain Atlas.- Medial Models Incorporating Object Variability for 3D Shape Analysis.- Deformation Analysis for Shape Based Classification.