Medical Image Computing And Computer-assisted Intervention -- Miccai 2004: 7th International Conference Saint-malo, France, September 26-29, 2004, Pro . s, Part One (Lecture Notes in Computer Science)

ISBN 10: 3540229760 / ISBN 13: 9783540229766

Editore: Springer, 2004

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Dati bibliografici

• Titolo: Medical Image Computing And Computer-assisted Intervention -- Miccai 2004: 7th International Conference Saint-malo, France, September 26-29, 2004, Pro . s, Part One (Lecture Notes in Computer Science)
• Editore: Springer
• Data di pubblicazione: 2004
• Lingua: Inglese
• ISBN 10: 3540229760
• ISBN 13: 9783540229766
• Rilegatura: Brossura
• Condizione: New

Descrizione articolo

Riassunto

The 7th International Conference on Medical Imaging and Computer Assisted Intervention, MICCAI 2004, was held in Saint-Malo, Brittany, France at the “Palais du Grand Large” conference center, September 26–29, 2004. The p- posaltohostMICCAI2004wasstronglyencouragedandsupportedbyIRISA, Rennes. IRISA is a publicly funded national research laboratory with a sta? of 370,including150full-timeresearchscientistsorteachingresearchscientistsand 115 postgraduate students. INRIA, the CNRS, and the University of Rennes 1 are all partners in this mixed research unit, and all three organizations were helpful in supporting MICCAI. MICCAI has become a premier international conference with in-depth - pers on the multidisciplinary ?elds of medical image computing, comput- assisted intervention and medical robotics. The conference brings together cl- icians, biological scientists, computer scientists, engineers, physicists and other researchers and o?ers them a forum to exchange ideas in these exciting and rapidly growing ?elds. The impact of MICCAI increases each year and the quality and quantity of submitted papers this year was very impressive. We received a record 516 full submissions (8 pages in length) and 101 short communications (2 pages) from 36 di?erent countries and 5 continents (see ?gures below). All submissions were reviewed by up to 4 external reviewers from the Scienti?c Review C- mittee and a primary reviewer from the Program Committee. All reviews were then considered by the MICCAI 2004 Program Committee, resulting in the acceptance of 235 full papers and 33 short communications.

Contenuti

Brain Segmentation.- Level Set Methods in an EM Framework for Shape Classification and Estimation.- Automatic Segmentation of Neonatal Brain MRI.- Segmentation of 3D Probability Density Fields by Surface Evolution: Application to Diffusion MRI.- Improved EM-Based Tissue Segmentation and Partial Volume Effect Quantification in Multi-sequence Brain MRI.- Cardiovascular Segmentation.- Cardiac Motion and Elasticity Characterization with Iterative Sequential Criteria.- A Semi-automatic Endocardial Border Detection Method for 4D Ultrasound Data.- Vessel Segmentation Using a Shape Driven Flow.- Learning Coupled Prior Shape and Appearance Models for Segmentation.- Segmentation I.- A Modified Total Variation Denoising Method in the Context of 3D Ultrasound Images.- Correcting Nonuniformities in MRI Intensities Using Entropy Minimization Based on an Elastic Model.- Texture Image Analysis for Osteoporosis Detection with Morphological Tools.- Multi-class Posterior Atlas Formation via Unbiased Kullback-Leibler Template Estimation.- Dual Front Evolution Model and Its Application in Medical Imaging.- Topology Smoothing for Segmentation and Surface Reconstruction.- Simultaneous Boundary and Partial Volume Estimation in Medical Images.- Local Watershed Operators for Image Segmentation.- Medical Image Segmentation Based on Mutual Information Maximization.- Adaptive Segmentation of Multi-modal 3D Data Using Robust Level Set Techniques.- Coupling Statistical Segmentation and PCA Shape Modeling.- Image Segmentation Adapted for Clinical Settings by Combining Pattern Classification and Level Sets.- Shape Particle Filtering for Image Segmentation.- Profile Scale-Spaces for Multiscale Image Match.- Classification Improvement by Segmentation Refinement: Application to Contrast-Enhanced MR-Mammography.- Landmark-Driven, Atlas-Based Segmentation of Mouse Brain Tissue Images Containing Gene Expression Data.- On Normalized Convolution to Measure Curvature Features for Automatic Polyp Detection.- Implicit Active Shape Models for 3D Segmentation in MR Imaging.- Construction of 3D Dynamic Statistical Deformable Models for Complex Topological Shapes.- Shape Representation via Best Orthogonal Basis Selection.- Robust Generalized Total Least Squares Iterative Closest Point Registration.- Segmentation Methods.- Robust Inter-slice Intensity Normalization Using Histogram Scale-Space Analysis.- Quantification of Delayed Enhancement MR Images.- Statistical Shape Modelling of the Levator Ani with Thickness Variation.- Characterizing the Shape of Anatomical Structures with Poisson’s Equation.- Automatic Optimization of Segmentation Algorithms Through Simultaneous Truth and Performance Level Estimation (STAPLE).- Segmentation II.- Multi-feature Intensity Inhomogeneity Correction in MR Images.- Using a Maximum Uncertainty LDA-Based Approach to Classify and Analyse MR Brain Images.- Data Driven Brain Tumor Segmentation in MRI Using Probabilistic Reasoning over Space and Time.- Atlas-Based Segmentation Using Level Sets and Fuzzy Labels.- Multi-phase Three-Dimensional Level Set Segmentation of Brain MRI.- Effects of Anatomical Asymmetry in Spatial Priors on Model-Based Segmentation of the Brain MRI: A Validation Study.- How Accurate Is Brain Volumetry?.- Anisotropic Interpolation of DT-MRI.- 3D Bayesian Regularization of Diffusion Tensor MRI Using Multivariate Gaussian Markov Random Fields.- Interface Detection in Diffusion Tensor MRI.- Clustering Fiber Traces Using Normalized Cuts.- Area Preserving Cortex Unfolding.- Cortical Reconstruction Using Implicit Surface Evolution: A Landmark Validation Study.- Discriminative MR Image Feature Analysis for Automatic Schizophrenia and Alzheimer’s Disease Classification.- Left Ventricular Segmentation in MR Using Hierarchical Multi-class Multi-feature Fuzzy Connectedness.- 3D Cardiac Anatomy Reconstruction Using High Resolution CT Data.- 3D/4D Cardiac Segmentation Using Active Appearance Models, Non-rigid Registration, and the Insight Toolkit.- Segmentation of Cardiac Structures Simultaneously from Short- and Long-Axis MR Images.- Segmentation of Left Ventricle via Level Set Method Based on Enriched Speed Term.- Border Detection on Short Axis Echocardiographic Views Using a Region Based Ellipse-Driven Framework.- A Data Clustering and Streamline Reduction Method for 3D MR Flow Vector Field Simplification.- Velocity Based Segmentation in Phase Contrast MRI Images.- Multi-scale Statistical Grey Value Modelling for Thrombus Segmentation from CTA.- Local Speed Functions in Level Set Based Vessel Segmentation.- Automatic Heart Peripheral Vessels Segmentation Based on a Normal MIP Ray Casting Technique.- A New 3D Parametric Intensity Model for Accurate Segmentation and Quantification of Human Vessels.- Geometric Flows for Segmenting Vasculature in MRI: Theory and Validation.- Accurate Quantification of Small-Diameter Tubular Structures in Isotropic CT Volume Data Based on Multiscale Line Filter Responses.- A Methodology for Validating a New Imaging Modality with Respect to a Gold Standard Imagery: Example of the Use of 3DRA and MRI for AVM Delineation.- VAMPIRE: Improved Method for Automated Center Lumen Line Definition in Atherosclerotic Carotid Arteries in CTA Data.- A General Framework for Tree Segmentation and Reconstruction from Medical Volume Data.- Shape-Based Curve Growing Model and Adaptive Regularization for Pulmonary Fissure Segmentation in CT.- A Fully Automated Method for the Delineation of Osseous Interface in Ultrasound Images.- Registration I.- Registration-Based Interpolation Using a High-Resolution Image for Guidance.- Surface-Based Registration with a Particle Filter.- Standardized Evaluation of 2D-3D Registration.- Image Registration by Hierarchical Matching of Local Spatial Intensity Histograms.- Volume Preserving Image Registration.- Multiresolution Image Registration Based on Kullback-Leibler Distance.- Empirical Evaluation of Covariance Estimates for Mutual Information Coregistration.- Deformation Based Representation of Groupwise Average and Variability.- Spatial-Stiffness Analysis of Surface-Based Registration.- Progressive Attenuation Fields: Fast 2D-3D Image Registration Without Precomputation.- Nonrigid Image Registration Using Free-Form Deformations with a Local Rigidity Constraint.- Fast Non-linear Elastic Registration in 2D Medical Image.- Multi-subject Registration for Unbiased Statistical Atlas Construction.- Simultaneous Segmentation and Registration for Medical Image.- Mapping Template Heart Models to Patient Data Using Image Registration.- A Framework for Detailed Objective Comparison of Non-rigid Registration Algorithms in Neuroimaging.- Evaluation of Registration of Ictal SPECT/MRI Data Using Statistical Similarity Methods.- Construction of a Brain Template from MR Images Using State-of-the-Art Registration and Segmentation Techniques.- Non-rigid Atlas to Subject Registration with Pathologies for Conformal Brain Radiotherapy.- Ventricle Registration for Inter-subject White Matter Lesion Analysis.- Deformable Registration of Tumor-Diseased Brain Images.- Registration II.- Toward the Creation of an Electrophysiological Atlas for the Pre-operative Planning and Intra-operative Guidance of Deep Brain Stimulators (DBS) Implantation.- Detecting Regional Abnormal Cardiac Contraction in Short-Axis MR Images Using Independent Component Analysis.- Non-rigid Atlas-to-Image Registration by Minimization of Class-Conditional Image Entropy.- Determination of Aortic Distensibility Using Non-rigid Registration of Cine MR Images.- Integrated Intensity and Point-Feature Nonrigid Registration.- Matching 3D Shapes Using 2D Conformal Representations.- Parallel Optimization Approaches for Medical Image Registration.- Non-rigid Multimodal Image Registration Using Local Phase.- Multi-channel Mutual Information Using Scale Space.- Registration Using Segment Intensity Remapping and Mutual Information.- Comparison of Different Global and Local Automatic Registration Schemes: An Application to Retinal Images.- Automatic Estimation of Error in Voxel-Based Registration.- Rigid and Deformable Vasculature-to-Image Registration: A Hierarchical Approach.- Rigid Registration of Freehand 3D Ultrasound and CT-Scan Kidney Images.- Improved Non-rigid Registration of Prostate MRI.- Landmark-Guided Surface Matching and Volumetric Warping for Improved Prostate Biopsy Targeting and Guidance.- Improved Regional Analysis of Oxygen-Enhanced Lung MR Imaging Using Image Registration.- An Uncertainty-Driven Hybrid of Intensity-Based and Feature-Based Registration with Application to Retinal and Lung CT Images.- Portal Vein Registration for the Follow-Up of Hepatic Tumours.- Fast Rigid 2D-2D Multimodal Registration.- Finite Deformation Guided Nonlinear Filtering for Multiframe Cardiac Motion Analysis.- Contrast-Invariant Registration of Cardiac and Renal MR Perfusion Images.- Spatio-Temporal Free-Form Registration of Cardiac MR Image Sequences.