Information Processing in Medical Imaging 20th International Conference, IPMI 2007, Kerkrade, The Netherlands, July 2-6, 2007, Proceedings /
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...
| Corporate Author: | |
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| Other Authors: | , |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2007.
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| Edition: | 1st ed. 2007. |
| Series: | Image Processing, Computer Vision, Pattern Recognition, and Graphics ;
4584 |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-540-73273-0 |
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.