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

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Series: Lecture Notes in Computer Science 4584 : Image Processing, Computer Vision, Pattern Recognition, and Graphics

ISBN: 3540732721, 9783540732723, 9783540732730

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Tobias Heimann, Sascha Münzing, Hans-Peter Meinzer, Ivo Wolf (auth.), Nico Karssemeijer, Boudewijn Lelieveldt (eds.)3540732721, 9783540732723, 9783540732730

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 latest in a series of biennial scienti?c meetings where new developments in acquisition, analysis, and use of medical images are presented. IPMI is one of the longest running conferences in medical imaging. It was started in 1969 by a group of young scientists working in nuclear medicine. With a few iterations the conference expanded to other areas and became established as an important meeting for in-depth discussion of new methodological developments in me- cal imaging. Nowadays it is widely recognized as one of the most exciting and in?uential conferences in its ?eld. At IPMI meetings a wide variety of topics are covered by a relatively small selection of papers presented in single-track sessions. This year, there were 210 manuscripts submitted to the conference. Of these papers, 26 were accepted for oral presentation, and 37 papers were accepted as posters. Papers were ca- fully judged by three reviewers and two paper selection committee members, with emphasis on originality, methodological development, scienti?c rigor, and relevance. Selection of papers was di?cult, but using the rankings and detailed comments of the reviewerswe wereable to makea greatselectionin anobjective way. Unfortunately, due to the large number of submissions, it was inevitable that many high-quality papers did not make it into the ?nal program.

Table of contents :
Front Matter….Pages –
A Shape-Guided Deformable Model with Evolutionary Algorithm Initialization for 3D Soft Tissue Segmentation….Pages 1-12
Shape Regression Machine….Pages 13-25
Active Mean Fields: Solving the Mean Field Approximation in the Level Set Framework….Pages 26-37
Liver Segmentation Using Sparse 3D Prior Models with Optimal Data Support….Pages 38-49
Adaptive Non-rigid Registration of Real Time 3D Ultrasound to Cardiovascular MR Images….Pages 50-61
Multi-slice Three-Dimensional Myocardial Strain Tensor Quantification Using z HARP….Pages 62-73
Bayesian Tracking of Elongated Structures in 3D Images….Pages 74-85
Effective Statistical Edge Integration Using a Flux Maximizing Scheme for Volumetric Vascular Segmentation in MRA….Pages 86-97
Joint Sulci Detection Using Graphical Models and Boosted Priors….Pages 98-109
Rao-Blackwellized Marginal Particle Filtering for Multiple Object Tracking in Molecular Bioimaging….Pages 110-121
Spine Detection and Labeling Using a Parts-Based Graphical Model….Pages 122-133
Lung Nodule Detection Via Bayesian Voxel Labeling….Pages 134-146
Functional Interactivity in fMRI Using Multiple Seeds’ Correlation Analyses – Novel Methods and Comparisons….Pages 147-159
Learning Best Features and Deformation Statistics for Hierarchical Registration of MR Brain Images….Pages 160-171
Information-Theoretic Analysis of Brain White Matter Fiber Orientation Distribution Functions….Pages 172-182
Segmentation of Sub-cortical Structures by the Graph-Shifts Algorithm….Pages 183-197
High-Quality Consistent Meshing of Multi-label Datasets….Pages 198-210
Digital Homeomorphisms in Deformable Registration….Pages 211-222
Incorporating DTI Data as a Constraint in Deformation Tensor Morphometry Between T1 MR Images….Pages 223-232
LV Segmentation Through the Analysis of Radio Frequency Ultrasonic Images….Pages 233-244
Chestwall Segmentation in 3D Breast Ultrasound Using a Deformable Volume Model….Pages 245-256
Automatic Cortical Segmentation in the Developing Brain….Pages 257-269
Comparing Pairwise and Simultaneous Joint Registrations of Decorrelating Interval Exams Using Entropic Graphs….Pages 270-282
Combining Radiometric and Spatial Structural Information in a New Metric for Minimal Surface Segmentation….Pages 283-295
A Fuzzy, Nonparametric Segmentation Framework for DTI and MRI Analysis….Pages 296-307
Symmetric Positive 4 th Order Tensors & Their Estimation from Diffusion Weighted MRI….Pages 308-319
Atlas-to-Image Non-rigid Registration by Minimization of Conditional Local Entropy….Pages 320-332
Shape Modeling and Analysis with Entropy-Based Particle Systems….Pages 333-345
A Volumetric Approach to Quantifying Region-to-Region White Matter Connectivity in Diffusion Tensor MRI….Pages 346-358
Brain Image Registration Using Cortically Constrained Harmonic Mappings….Pages 359-371
Probabilistic Clustering and Quantitative Analysis of White Matter Fiber Tracts….Pages 372-383
Multi-fiber Reconstruction from Diffusion MRI Using Mixture of Wisharts and Sparse Deconvolution….Pages 384-395
A Hamiltonian Particle Method for Diffeomorphic Image Registration….Pages 396-407
Inter and Intra-modal Deformable Registration: Continuous Deformations Meet Efficient Optimal Linear Programming….Pages 408-420
Tracer Kinetics Guided Dynamic PET Reconstruction….Pages 421-433
Maximum Likelihood Estimators in Magnetic Resonance Imaging….Pages 434-445
Quantifying Metabolic Asymmetry Modulo Structure in Alzheimer’s Disease….Pages 446-457
Adaptive Time-Frequency Models for Single-Trial M/EEG Analysis….Pages 458-469
Imaging Brain Activation Streams from Optical Flow Computation on 2-Riemannian Manifolds….Pages 470-481
High Level Group Analysis of FMRI Data Based on Dirichlet Process Mixture Models….Pages 482-494
Insight into Efficient Image Registration Techniques and the Demons Algorithm….Pages 495-506
Divergence-Based Framework for Diffusion Tensor Clustering, Interpolation, and Regularization….Pages 507-518
Localized Components Analysis….Pages 519-531
Regional Appearance in Deformable Model Segmentation….Pages 532-543
Fully Automated Registration of First-Pass Myocardial Perfusion MRI Using Independent Component Analysis….Pages 544-555
Octree Grid Topology Preserving Geometric Deformable Model for Three-Dimensional Medical Image Segmentation….Pages 556-568
High-Dimensional Entropy Estimation for Finite Accuracy Data: R -NN Entropy Estimator….Pages 569-580
Kernel-Based Manifold Learning for Statistical Analysis of Diffusion Tensor Images….Pages 581-593
An Anatomical Equivalence Class Based Joint Transformation-Residual Descriptor for Morphological Analysis….Pages 594-606
Incorporation of Regional Information in Optimal 3-D Graph Search with Application for Intraretinal Layer Segmentation of Optical Coherence Tomography Images….Pages 607-618
Localized Maximum Entropy Shape Modelling….Pages 619-629
Computer Aided Detection of Pulmonary Embolism with Tobogganing and Mutiple Instance Classification in CT Pulmonary Angiography….Pages 630-641
Measures for Pathway Analysis in Brain White Matter Using Diffusion Tensor Images….Pages 642-649
Estimating the Mesorectal Fascia in MRI….Pages 650-661
A Marginalized MAP Approach and EM Optimization for Pair-Wise Registration….Pages 662-674
Geometry Driven Volumetric Registration….Pages 675-686
A Recursive Anisotropic Fast Marching Approach to Reaction Diffusion Equation: Application to Tumor Growth Modeling….Pages 687-699
Population-Based Fitting of Medial Shape Models with Correspondence Optimization….Pages 700-712
Robust Parametric Modeling Approach Based on Domain Knowledge for Computer Aided Detection of Vertebrae Column Metastases in MRI….Pages 713-724
Nonrigid Image Registration Using Conditional Mutual Information….Pages 725-737
Non-parametric Surface-Based Regularisation for Building Statistical Shape Models….Pages 738-750
Geometrically Proper Models in Statistical Training….Pages 751-762
Registration-Derived Estimates of Local Lung Expansion as Surrogates for Regional Ventilation….Pages 763-774
Back Matter….Pages –

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