Information Processing in Medical Imaging 20th International Conference, IPMI 2007, Kerkrade, The Netherlands, July 2-6, 2007, Proceedings

Information Processing in Medical Imaging 20th International Conference, IPMI 2007, Kerkrade, The Netherlands, July 2-6, 2007, Proceedings / edited by Nico Karssemeijer, Boudewijn Lelieveldt.

The 20th International Conference on Information Processing in Medical Im- ing(IPMI)washeldduringJuly2–6,2007,atRolducAbbey,locatedinKerkrade in the south of the Netherlands. Following the highly successful IPMI in Gl- wood Springs in the Rocky Mountains, Colorado, USA (2005), the conference was the...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Karssemeijer, Nico (Editor), Lelieveldt, Boudewijn (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2007.
Edition:1st ed. 2007.
Series:Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 4584
Springer eBook Collection.
Subjects:
Optical data processing.
Pattern recognition.
Artificial intelligence.
Computer graphics.
Health informatics.
Radiology.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of 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.

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