07522nam 22008175 450 99646556290331620200705165353.03-540-27816-83-540-22675-310.1007/b98995(CKB)1000000000212472(SSID)ssj0000322155(PQKBManifestationID)11246247(PQKBTitleCode)TC0000322155(PQKBWorkID)10287535(PQKB)11132484(DE-He213)978-3-540-27816-0(MiAaPQ)EBC3089067(PPN)155195573(EXLCZ)99100000000021247220121227d2004 u| 0engurnn#008mamaatxtccrComputer Vision and Mathematical Methods in Medical and Biomedical Image Analysis[electronic resource] ECCV 2004 Workshops CVAMIA and MMBIA Prague, Czech Republic, May 15, 2004, Revised Selected Papers /edited by Milan Sonka, Ioannis A. Kakadiaris, Jan Kybic1st ed. 2004.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2004.1 online resource (XII, 444 p.)Lecture Notes in Computer Science,0302-9743 ;3117Includes index.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.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.Lecture Notes in Computer Science,0302-9743 ;3117Optical data processingComputer industryArtificial intelligencePattern recognitionComputer graphicsHealth informaticsImage Processing and Computer Visionhttps://scigraph.springernature.com/ontologies/product-market-codes/I22021The Computer Industryhttps://scigraph.springernature.com/ontologies/product-market-codes/I24016Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Pattern Recognitionhttps://scigraph.springernature.com/ontologies/product-market-codes/I2203XComputer Graphicshttps://scigraph.springernature.com/ontologies/product-market-codes/I22013Health Informaticshttps://scigraph.springernature.com/ontologies/product-market-codes/H28009Optical data processing.Computer industry.Artificial intelligence.Pattern recognition.Computer graphics.Health informatics.Image Processing and Computer Vision.The Computer Industry.Artificial Intelligence.Pattern Recognition.Computer Graphics.Health Informatics.616.07/54/0151Sonka Milanedthttp://id.loc.gov/vocabulary/relators/edtKakadiaris Ioannis Aedthttp://id.loc.gov/vocabulary/relators/edtKybic Janedthttp://id.loc.gov/vocabulary/relators/edtWorkshop on Computer Vision Approaches to Medical Image AnalysisMiAaPQMiAaPQMiAaPQBOOK996465562903316Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis2035912UNISA