Information Processing in Medical Imaging
Springer Berlin (Verlag)
978-3-642-02497-9 (ISBN)
Diffusion Imaging.- Diffusion Propagator Imaging: Using Laplace's Equation and Multiple Shell Acquisitions to Reconstruct the Diffusion Propagator.- Clustering of the Human Skeletal Muscle Fibers Using Linear Programming and Angular Hilbertian Metrics.- PET Imaging.- High-Resolution Adaptive PET Imaging.- Dynamic Dual-Tracer PET Reconstruction.- Image Registration.- DRAMMS: Deformable Registration via Attribute Matching and Mutual-Saliency Weighting.- Simultaneous Consideration of Spatial Deformation and Tensor Orientation in Diffusion Tensor Image Registration Using Local Fast Marching Patterns.- Functional Networks.- Discovering Sparse Functional Brain Networks Using Group Replicator Dynamics (GRD).- Multimodal Functional Imaging Using fMRI-Informed Regional EEG/MEG Source Estimation.- Space Curves.- Tractography Segmentation Using a Hierarchical Dirichlet Processes Mixture Model.- A Statistical Model of White Matter Fiber Bundles Based on Currents.- Tractography.- Neural Tractography Using an Unscented Kalman Filter.- Multi-fiber Reconstruction from DW-MRI Using a Continuous Mixture of Hyperspherical von Mises-Fisher Distributions.- Poster Session I.- Regression Models of Atlas Appearance.- Non-rigid Image Registration with Uniform Spherical Structure Patterns.- Joint Bayesian Cortical Sulci Recognition and Spatial Normalization.- Image-to-Physical Registration for Image-Guided Interventions Using 3-D Ultrasound and an Ultrasound Imaging Model.- Automatic Cortical Sulcal Parcellation Based on Surface Principal Direction Flow Field Tracking.- A New Information-Theoretic Measure to Control the Robustness-Sensitivity Trade-Off for DMFFD Point-Set Registration.- Generalized L2-Divergence and Its Application to Shape Alignment.- Fully-Automated White MatterHyperintensity Detection with Anatomical Prior Knowledge and without FLAIR.- Identification of Growth Seeds in the Neonate Brain through Surfacic Helmholtz Decomposition.- Active Imaging with Dual Spin-Echo Diffusion MRI.- Voxel-by-Voxel Functional Diffusion Mapping for Early Evaluation of Breast Cancer Treatment.- MRI Tissue Classification and Bias Field Estimation Based on Coherent Local Intensity Clustering: A Unified Energy Minimization Framework.- A Unified Framework for MR Based Disease Classification.- MARM: Multiscale Adaptive Regression Models for Neuroimaging Data.- Automatic Segmentation of Brain Structures Using Geometric Moment Invariants and Artificial Neural Networks.- Adaptive Kernels for Multi-fiber Reconstruction.- Smooth 3-D Reconstruction for 2-D Histological Images.- Microscopy.- Nonnegative Mixed-Norm Preconditioning for Microscopy Image Segmentation.- Coupled Minimum-Cost Flow Cell Tracking.- Exploratory Analyses.- Persistence Diagrams of Cortical Surface Data.- Exploratory fMRI Analysis without Spatial Normalization.- Features and Detection.- Marginal Space Learning for Efficient Detection of 2D/3D Anatomical Structures in Medical Images.- A General and Unifying Framework for Feature Construction, in Image-Based Pattern Classification.- Image Guided Surgery.- Bayesian Registration via Local Image Regions: Information, Selection and Marginalization.- A Non-rigid Registration Framework That Accommodates Resection and Retraction.- Shape Analysis.- Discriminative Shape Alignment.- Inverse-Consistent Surface Mapping with Laplace-Beltrami Eigen-Features.- Poster Session II.- Estimating Uncertainty in Brain Region Delineations.- Unifying Encoding of Spatial Information in Mutual Information for Nonrigid Registration.- Projected Generalized Procrustes Alignment.- HARDI Denoising: Variational Regularization of the Spherical Apparent Diffusion Coefficient sADC.- Coronary Lumen Segmentation Using Graph Cuts and Robust Kernel Regression.- Dense Registration with Deformation Priors.- Multivariate High-Dimensional Cortical Folding Analysis, Combining Complexity and Shape, in Neonates with Congenital Heart Disease.- The 3D Moore-Rayleigh Test for the Quantitative Grou
| Erscheint lt. Verlag | 19.6.2009 |
|---|---|
| Reihe/Serie | Image Processing, Computer Vision, Pattern Recognition, and Graphics | Lecture Notes in Computer Science |
| Zusatzinfo | XVIII, 727 p. |
| Verlagsort | Berlin |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
| Schlagworte | Artificial Neural Network • Bayesian estimation • brain imaging • cell analysis • classification • Discrete Optimization • fmri analysis • Graph-theory • Hardcover, Softcover / Informatik, EDV/Informatik • Image Analysis • Linear Programming • Magnetic Resonance Imaging • medical im • Medical Image Computing • Medical Image Processing • medical image registration • Medical Image Sequences • Medical Imaging • minimum-cost flow • MRI • object tracking • polynomial chaos • Radiologieinformationssystem • Radiology • Segmentation • shape prediction • spatial encoding • statistical shape model • stochastic collocation • Time Series Analysis • Ultrasound • Wavelets |
| ISBN-10 | 3-642-02497-1 / 3642024971 |
| ISBN-13 | 978-3-642-02497-9 / 9783642024979 |
| Zustand | Neuware |
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