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Information processing in medical imaging : 20th international conference, IPMI 2007, Kerkrade, the Netherlands, July 2-6, 2007 : proceedings

Author: Nico Karssemeijer; Boudewijn Lelieveldt
Publisher: Berlin ; New York : Springer, ©2007.
Series: Lecture notes in computer science, 4584.; LNCS sublibrary., SL 6,, Image processing, computer vision, pattern recognition, and graphics.
Edition/Format:   eBook : Document : Conference publication : EnglishView all editions and formats
Database:WorldCat
Summary:

This book constitutes the refereed proceedings of the 20th International Conference on Information Processing in Medical Imaging, IPMI 2007, held in Kerkrade, The Netherlands, in July 2007.

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Genre/Form: Electronic books
Conference papers and proceedings
Congresses
Additional Physical Format: Print version:
International Conference on Information Processing in Medical Imaging (20th : 2007 : Kerkrade, Netherlands).
Information processing in medical imaging.
Berlin ; New York : Springer, ©2007
(DLC) 2007929386
(OCoLC)150414841
Material Type: Conference publication, Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Nico Karssemeijer; Boudewijn Lelieveldt
ISBN: 9783540732730 354073273X 9783540732723 3540732721
OCLC Number: 191469731
Description: 1 online resource (xx, 777 pages) : illustrations.
Contents: Segmentation.- A Shape-Guided Deformable Model with Evolutionary Algorithm Initialization for 3D Soft Tissue Segmentation.- Shape Regression Machine.- Active Mean Fields: Solving the Mean Field Approximation in the Level Set Framework.- Liver Segmentation Using Sparse 3D Prior Models with Optimal Data Support.- Cardiovascular Imaging.- Adaptive Non-rigid Registration of Real Time 3D Ultrasound to Cardiovascular MR Images.- Multi-slice Three-Dimensional Myocardial Strain Tensor Quantification Using zHARP.- Bayesian Tracking of Elongated Structures in 3D Images.- Effective Statistical Edge Integration Using a Flux Maximizing Scheme for Volumetric Vascular Segmentation in MRA.- Detection and Labeling.- Joint Sulci Detection Using Graphical Models and Boosted Priors.- Rao-Blackwellized Marginal Particle Filtering for Multiple Object Tracking in Molecular Bioimaging.- Spine Detection and Labeling Using a Parts-Based Graphical Model.- Lung Nodule Detection Via Bayesian Voxel Labeling.- Poster Session I.- Functional Interactivity in fMRI Using Multiple Seeds' Correlation Analyses - Novel Methods and Comparisons.- Learning Best Features and Deformation Statistics for Hierarchical Registration of MR Brain Images.- Information-Theoretic Analysis of Brain White Matter Fiber Orientation Distribution Functions.- Segmentation of Sub-cortical Structures by the Graph-Shifts Algorithm.- High-Quality Consistent Meshing of Multi-label Datasets.- Digital Homeomorphisms in Deformable Registration.- Incorporating DTI Data as a Constraint in Deformation Tensor Morphometry Between T1 MR Images.- LV Segmentation Through the Analysis of Radio Frequency Ultrasonic Images.- Chestwall Segmentation in 3D Breast Ultrasound Using a Deformable Volume Model.- Automatic Cortical Segmentation in the Developing Brain.- Comparing Pairwise and Simultaneous Joint Registrations of Decorrelating Interval Exams Using Entropic Graphs.- Combining Radiometric and Spatial Structural Information in a New Metric for Minimal Surface Segmentation.- A Fuzzy, Nonparametric Segmentation Framework for DTI and MRI Analysis.- Symmetric Positive 4 th Order Tensors & Their Estimation from Diffusion Weighted MRI.- Atlas-to-Image Non-rigid Registration by Minimization of Conditional Local Entropy.- Shape Modeling and Analysis with Entropy-Based Particle Systems.- A Volumetric Approach to Quantifying Region-to-Region White Matter Connectivity in Diffusion Tensor MRI.- Brain Image Registration Using Cortically Constrained Harmonic Mappings.- Probabilistic Clustering and Quantitative Analysis of White Matter Fiber Tracts.- Multi-fiber Reconstruction from Diffusion MRI Using Mixture of Wisharts and Sparse Deconvolution.- A Hamiltonian Particle Method for Diffeomorphic Image Registration.- Inter and Intra-modal Deformable Registration: Continuous Deformations Meet Efficient Optimal Linear Programming.- Tracer Kinetics Guided Dynamic PET Reconstruction.- Maximum Likelihood Estimators in Magnetic Resonance Imaging.- Quantifying Metabolic Asymmetry Modulo Structure in Alzheimer's Disease.- Adaptive Time-Frequency Models for Single-Trial M/EEG Analysis.- Imaging Brain Activation Streams from Optical Flow Computation on 2-Riemannian Manifolds.- High Level Group Analysis of FMRI Data Based on Dirichlet Process Mixture Models.- Poster Session II.- Insight into Efficient Image Registration Techniques and the Demons Algorithm.- Divergence-Based Framework for Diffusion Tensor Clustering, Interpolation, and Regularization.- Localized Components Analysis.- Regional Appearance in Deformable Model Segmentation.- Fully Automated Registration of First-Pass Myocardial Perfusion MRI Using Independent Component Analysis.- Octree Grid Topology Preserving Geometric Deformable Model for Three-Dimensional Medical Image Segmentation.- High-Dimensional Entropy Estimation for Finite Accuracy Data: R-NN Entropy Estimator.- Kernel-Based Manifold Learning for Statistical Analysis of Diffusion Tensor Images.- An Anatomical Equivalence Class Based Joint Transformation-Residual Descriptor for Morphological Analysis.- Incorporation of Regional Information in Optimal 3-D Graph Search with Application for Intraretinal Layer Segmentation of Optical Coherence Tomography Images.- Localized Maximum Entropy Shape Modelling.- Computer Aided Detection of Pulmonary Embolism with Tobogganing and Mutiple Instance Classification in CT Pulmonary Angiography.- Measures for Pathway Analysis in Brain White Matter Using Diffusion Tensor Images.- Estimating the Mesorectal Fascia in MRI.- A Marginalized MAP Approach and EM Optimization for Pair-Wise Registration.- Geometry Driven Volumetric Registration.- A Recursive Anisotropic Fast Marching Approach to Reaction Diffusion Equation: Application to Tumor Growth Modeling.- Population-Based Fitting of Medial Shape Models with Correspondence Optimization.- Robust Parametric Modeling Approach Based on Domain Knowledge for Computer Aided Detection of Vertebrae Column Metastases in MRI.- Nonrigid Image Registration Using Conditional Mutual Information.- Non-parametric Surface-Based Regularisation for Building Statistical Shape Models.- Geometrically Proper Models in Statistical Training.- Registration-Derived Estimates of Local Lung Expansion as Surrogates for Regional Ventilation.
Series Title: Lecture notes in computer science, 4584.; LNCS sublibrary., SL 6,, Image processing, computer vision, pattern recognition, and graphics.
Other Titles: IPMI 2007
Responsibility: Nico Karssemeijer, Boudewijn Lelieveldt (eds.).

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