Medical imaging and medical image analysisare rapidly developing. While m- ical imaging has already become a standard of modern medical care, medical image analysis is still mostly performed visually and qualitatively. The ev- increasing volume of acquired data makes it impossible to utilize them in full. Equally important, the visual approaches to medical image analysis are known to su? er from a lack of reproducibility. A signi? cant researche? ort is devoted to developing algorithms for processing the wealth of data available and extracting the relevant information in a computerized and quantitative fashion. Medical imaging and image analysis are interdisciplinary areas combining electrical, computer, and biomedical engineering; computer science; mathem- ics; physics; statistics; biology; medicine; and other ? elds. Medical imaging and computer vision, interestingly enough, have developed and continue developing somewhat independently. Nevertheless, bringing them together promises to b- e? t both of these ? elds. We were enthusiastic when the organizers of the 2004 European Conference on Computer Vision (ECCV) allowed us to organize a satellite workshop devoted to medical image analysis.
Inhaltsverzeichnis
Acquisition Techniques. - Ultrasound Stimulated Vibro-acoustography. - CT from an Unmodified Standard Fluoroscopy Machine Using a Non-reproducible Path. - Three-Dimensional Object Reconstruction from Compton Scattered Gamma-Ray Data. - Reconstruction. - Cone-Beam Image Reconstruction by Moving Frames. - AQUATICS Reconstruction Software: The Design of a Diagnostic Tool Based on Computer Vision Algorithms. - Towards Automatic Selection of the Regularization Parameters in Emission Tomgraphy by Fourier Synthesis. - Mathematical Methods. - Extraction of Myocardial Contractility Patterns from Short-Axes MR Images Using Independent Component Analysis. - Principal Geodesic Analysis on Symmetric Spaces: Statistics of Diffusion Tensors. - Symmetric Geodesic Shape Averaging and Shape Interpolation. - Smoothing Impulsive Noise Using Nonlinear Diffusion Filtering. - Level Set and Region Based Surface Propagation for Diffusion Tensor MRI Segmentation. - The Beltrami Flow over Triangulated Manifolds. - Hierarchical Analysis of Low-Contrast Temporal Images with Linear Scale Space. - Medical Image Segmentation. - Segmentation of Medical Images with a Shape and Motion Model: A Bayesian Perspective. - A Multi-scale Geometric Flow for Segmenting Vasculature in MRI. - A 2D Fourier Approach to Deformable Model Segmentation of 3D Medical Images. - Automatic Rib Segmentation in CT Data. - Efficient Initialization for Constrained Active Surfaces, Applications in 3D Medical Images. - An Information Fusion Method for the Automatic Delineation of the Bone-Soft Tissues Interface in Ultrasound Images. - Multi-label Image Segmentation for Medical Applications Based on Graph-Theoretic Electrical Potentials. - Three-Dimensional Mass Reconstruction in Mammography. - Segmentation of Abdominal Aortic Aneurysms with a Non-parametric Appearance Model. - Probabilistic Spatial-Temporal Segmentation of Multiple Sclerosis Lesions. - Segmenting Cell Images: A Deterministic Relaxation Approach. - Registration. - TIGER A New Model for Spatio-temporal Realignment of FMRI Data. - Robust Registration of 3-D Ultrasound Images Based on Gabor Filter and Mean-Shift Method. - Deformable Image Registration by Adaptive Gaussian Forces. - Applications. - Statistical Imaging for Modeling and Identification of Bacterial Types. - Assessment of Intrathoracic Airway Trees: Methods and In Vivo Validation. - Computer-Aided Measurement of Solid Breast Tumor Features on Ultrasound Images. - Can a Continuity Heuristic Be Used to Resolve the Inclination Ambiguity of Polarized Light Imaging? . - Applications of Image Registration in Human Genome Research. - Fast Marching 3D Reconstruction of Interphase Chromosomes. - Robust Extraction of the Optic Nerve Head in Optical Coherence Tomography. - Scale-Space Diagnostic Criterion for Microscopic Image Analysis. - Image Registration Neural System for the Analysis of Fundus Topology. - Robust Identification of Object Elasticity.
