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Information Processing in Medical Imaging [[electronic resource] ] : 21st International Conference, IPMI 2009, Williamsburg, VA, USA, July 5-10, 2009, Proceedings / / edited by Jerry L. Prince, Dzung L. Pham, Kyle J. Myers
| Information Processing in Medical Imaging [[electronic resource] ] : 21st International Conference, IPMI 2009, Williamsburg, VA, USA, July 5-10, 2009, Proceedings / / edited by Jerry L. Prince, Dzung L. Pham, Kyle J. Myers |
| Edizione | [1st ed. 2009.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 |
| Descrizione fisica | 1 online resource (XVIII, 727 p.) |
| Disciplina |
006.6
006.37 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Medicine Radiology Pattern recognition Artificial intelligence Computer graphics Image Processing and Computer Vision Medicine/Public Health, general Imaging / Radiology Pattern Recognition Artificial Intelligence Computer Graphics |
| ISBN | 3-642-02498-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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 Matter Hyperintensity 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 Groupwise Comparison of MR Brain Images -- A Framework for Brain Registration via Simultaneous Surface and Volume Flow -- Level Set Image Segmentation with a Statistical Overlap Constraint -- Estimating the Confidence of Statistical Model Based Shape Prediction -- Oriented Morphometry of Folds on Surfaces -- Diffusion MRI Registration Using Orientation Distribution Functions -- Robust Joint Entropy Regularization of Limited View Transmission Tomography Using Gaussian Approximations to the Joint Histogram -- Cortical Correspondence with Probabilistic Fiber Connectivity -- A Variational Image-Based Approach to the Correction of Susceptibility Artifacts in the Alignment of Diffusion Weighted and Structural MRI -- Motion -- 4D MAP Image Reconstruction Incorporating Organ Motion -- Incorporating Patient Breathing Variability into a Stochastic Model of Dose Deposition for Stereotactic Body Radiation Therapy -- Segmentation and Validation -- Estimation of Inferential Uncertainty in Assessing Expert Segmentation Performance from Staple -- Detection of Arterial Calcification in Mammograms by Random Walks. |
| Record Nr. | UNISA-996465849503316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Information processing in medical imaging : 21st international conference, IPMI 2009, Williamsburg, Va, USA, July 5-10, 2009 ; proceedings / / Jerry L. Prince, Dzung L. Pham, Kyle J. Meyers (eds.)
| Information processing in medical imaging : 21st international conference, IPMI 2009, Williamsburg, Va, USA, July 5-10, 2009 ; proceedings / / Jerry L. Prince, Dzung L. Pham, Kyle J. Meyers (eds.) |
| Edizione | [1st ed. 2009.] |
| Pubbl/distr/stampa | Berlin ; ; New York, : Springer, 2009 |
| Descrizione fisica | 1 online resource (XVIII, 727 p.) |
| Disciplina |
006.6
006.37 |
| Altri autori (Persone) |
PrinceJerry L
PhamDzung L MyersKyle J |
| Collana |
Lecture notes in computer science
LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics |
| Soggetto topico |
Diagnostic imaging - Digital techniques
Imaging systems in medicine |
| ISBN | 3-642-02498-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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 Matter Hyperintensity 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 Groupwise Comparison of MR Brain Images -- A Framework for Brain Registration via Simultaneous Surface and Volume Flow -- Level Set Image Segmentation with a Statistical Overlap Constraint -- Estimating the Confidence of Statistical Model Based Shape Prediction -- Oriented Morphometry of Folds on Surfaces -- Diffusion MRI Registration Using Orientation Distribution Functions -- Robust Joint Entropy Regularization of Limited View Transmission Tomography Using Gaussian Approximations to the Joint Histogram -- Cortical Correspondence with Probabilistic Fiber Connectivity -- A Variational Image-Based Approach to the Correction of Susceptibility Artifacts in the Alignment of Diffusion Weighted and Structural MRI -- Motion -- 4D MAP Image Reconstruction Incorporating Organ Motion -- Incorporating Patient Breathing Variability into a Stochastic Model of Dose Deposition for Stereotactic Body Radiation Therapy -- Segmentation and Validation -- Estimation of Inferential Uncertainty in Assessing Expert Segmentation Performance from Staple -- Detection of Arterial Calcification in Mammograms by Random Walks. |
| Record Nr. | UNINA-9910485150503321 |
| Berlin ; ; New York, : Springer, 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||