Information Processing in Medical Imaging 24th International Conference, IPMI 2015, Sabhal Mor Ostaig, Isle of Skye, UK, June 28 - July 3, 2015, Proceedings
This book constitutes the proceedings of the 24th International Conference on Information Processing in Medical Imaging, IPMI 2015, held at the Sabhal Mor Ostaig College on the Isle of Skye, Scotland, UK, in June/July 2015.The 22 full papers and 41 poster papers presented in this volume were careful...
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| Main Authors | , , , |
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| Format | eBook |
| Language | English |
| Published |
Cham
Springer Nature
2015
Springer International Publishing AG Springer |
| Edition | 1 |
| Series | LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics |
| Subjects | |
| Online Access | Get full text |
| ISBN | 9783319199924 3319199927 9783319199917 3319199919 |
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| Abstract | This book constitutes the proceedings of the 24th International Conference on Information Processing in Medical Imaging, IPMI 2015, held at the Sabhal Mor Ostaig College on the Isle of Skye, Scotland, UK, in June/July 2015.The 22 full papers and 41 poster papers presented in this volume were carefully reviewed and selected from 195 submissions. They were organized in topical sections named: probabilistic graphical models; MRI reconstruction; clustering; statistical methods; longitudinal analysis; microstructure imaging; shape analysis; multi-atlas fusion; fast image registration; deformation models; and the poster session. |
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| AbstractList | This book constitutes the proceedings of the 24th International Conference on Information Processing in Medical Imaging, IPMI 2015, held at the Sabhal Mor Ostaig College on the Isle of Skye, Scotland, UK, in June/July 2015.The 22 full papers and 41 poster papers presented in this volume were carefully reviewed and selected from 195 submissions. They were organized in topical sections named: probabilistic graphical models; MRI reconstruction; clustering; statistical methods; longitudinal analysis; microstructure imaging; shape analysis; multi-atlas fusion; fast image registration; deformation models; and the poster session. |
| Author | Westin, Carl-Fredrik Alexander, Daniel C Cardoso, M. Jorge Ourselin, Sebastien |
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| SubjectTerms | Computer programming, programs, data Diagnostic imaging Diagnostic imaging-Digital techniques-Congresses |
| Subtitle | 24th International Conference, IPMI 2015, Sabhal Mor Ostaig, Isle of Skye, UK, June 28 - July 3, 2015, Proceedings |
| TableOfContents | 3.2 Optimization Algorithm -- 4 Experiments -- 4.1 Evaluation on HCP Data -- 4.2 True CS-SRR Scenario -- 5 Conclusion -- References -- Accelerated High Spatial Resolution Diffusion-Weighted Imaging -- 1 Introduction -- 2 Theory -- 2.1 The SHORTCUT Framework -- 2.2 SHORTCUT-DTI and SHORTCUT-MTM -- 2.3 Estimation of the Model Parameters -- 3 Methods -- 4 Results -- 5 Discussion -- References -- Clustering -- Joint Spectral Decomposition for the Parcellation of the Human Cerebral Cortex Using Resting-State fMRI -- 1 Introduction -- 2 Methodology -- 2.1 Data Acquisition and Preprocessing -- 2.2 Joint Spectral Decomposition -- 3 Results -- 3.1 Reproducibility -- 3.2 Functional Consistency -- 4 Conclusions -- References -- Joint Clustering and Component Analysis of Correspondenceless Point Sets: Application to Cardiac Statistical Modeling -- 1 Introduction -- 2 Methods -- 2.1 Probabilistic Generative Model -- 2.2 Approximated Inference -- 2.3 Update of Posteriors and Hyper-Parameters -- 2.4 Predictive Distribution -- 2.5 Initialization and Computational Burden -- 3 Results -- 3.1 Synthetic Dataset -- 3.2 Cardiac Datasets -- 4 Conclusion -- References -- Statistical Methods -- Bootstrapped Permutation Test for Multiresponse Inference on Brain Behavior Associations -- Abstract -- 1 Introduction -- 2 Methods -- 2.1 Sparse Multiresponse Model -- 2.2 Stability Selection -- 2.3 Bootstrapped Permutation Testing -- 3 Materials -- 3.1 Synthetic Data -- 3.2 Real Data -- 4 Results and Discussion -- 4.1 Synthetic Data -- 4.2 Real Data -- 5 Conclusions -- Acknowledgements -- References -- Controlling False Discovery Rate in Signal Space for Transformation-Invariant Thresholding of Statistical Maps -- 1 Introduction -- 2 Methods -- 2.1 Intrinsic Spherical Signal Space -- 2.2 Weighted FDR in Volume -- 2.3 FDR in Signal Space -- 3 Experiments 3 A Class of Anisotropic Distributions -- 3.1 Stochastic Diffusion Processes on Manifolds -- 3.2 Parallel Transport and Horizontallity -- 3.3 Why Parallel Transport? -- 4 Model and Estimation -- 4.1 Likelihood Estimation -- 4.2 Metric and Rank -- 5 Most Probable Paths -- 5.1 Flow Equations -- 6 Experiments -- 6.1 Sphere -- 6.2 Landmarks -- References -- A Riemannian Framework for Intrinsic Comparison of Closed Genus-Zero Shapes -- Abstract -- 1 Introduction -- 2 A Riemannian Metric on the Space of Metric Tensors -- 3 Parameterization-Invariant Metric Tensor Comparison -- 4 Metrics on {\varvec{{\cal M}}}_{\varvec{\mu }} \backslash {\varvec{\Phi}}_{{\varvec U}} and on the Space of Surfaces -- 5 Solving for \phi with Fluid Registration on {{\mathbb{S}}}^{2} -- 6 Implementation Details -- 6.1 Initialization -- 6.2 Tensor and Curvature Estimation -- 6.3 Surface Reconstruction -- 7 Experiments -- 8 Conclusion -- References -- Multi-atlas Fusion -- Multi-atlas Segmentation as a Graph Labelling Problem: Application to Partially Annotated Atlas Data -- 1 Introduction -- 2 Method -- 2.1 Multi-atlas Label Propagation -- 2.2 Reformulation as a Graph Labelling Problem -- 2.3 Unified Label Propagation Framework -- 2.4 Segmentation Using Partially Annotated Atlas Data -- 2.5 Optimisation -- 3 Application to Segmentation of Partially Labelled Hippocampus Data -- 4 Discussion and Conclusion -- References -- Keypoint Transfer Segmentation -- 1 Introduction -- 1.1 Related Work -- 2 Method -- 2.1 Keypoint Matching -- 2.2 Keypoint Voting -- 2.3 Keypoint Segmentation -- 3 Results -- 4 Conclusion -- References -- Fast Image Registration -- Finite-Dimensional Lie Algebras for Fast Diffeomorphic Image Registration -- 1 Introduction -- 2 Background on LDDMM and Geodesic Shooting -- 3 Finite-Dimensional Lie Algebras of Diffeomorphism 4 Estimation of Diffeomorphic Image Registration -- 4.1 Geodesic Shooting in the Finite-Dimensional Lie Algebra -- 4.2 Adjoint Jacobi Fields -- 5 Results -- 6 Conclusion -- References -- Fast Optimal Transport Averaging of Neuroimaging Data -- 1 Introduction -- 2 Optimal Transport Between (Un)Normalized Measures -- 3 Kantorovich Mean of Unnormalized Measures -- 4 Application to the Averaging of Neuroimaging Data -- 5 Conclusion -- References -- Deformation Models -- Joint Morphometry of Fiber Tracts and Gray Matter Structures Using Double Diffeomorphisms -- 1 Introduction -- 2 Bayesian Double Diffeomorphic Atlas Construction -- 2.1 Object Representation -- 2.2 Double Diffeomorphic Deformation -- 2.3 Optimization Procedure -- 3 Experiments -- 4 Conclusions and Discussion -- References -- A Robust Probabilistic Model for Motion Layer Separation in X-ray Fluoroscopy -- 1 Introduction -- 2 Materials and Methods -- 2.1 Image Formation Model -- 2.2 Probabilistic Approach to Layer Separation -- 2.3 Data Term -- 2.4 Regularization Term -- 2.5 Numerical Optimization -- 2.6 Sources of Layer Motions -- 2.7 Experiments -- 3 Results -- 3.1 Analysis of Data Terms -- 3.2 Analysis of Regularization Terms -- 3.3 Real X-ray Data -- 4 Conclusions and Outlook -- References -- Poster Papers -- Weighted Hashing with Multiple Cues for Cell-Level Analysis of Histopathological Images -- 1 Introduction -- 2 Methodology -- 2.1 Overview -- 2.2 Kernelized and Supervised Hashing for Large-Scale Image Retrieval -- 2.3 Weighted Hashing with Multiple Cues -- 3 Experiments -- 4 Conclusions -- References -- Multiresolution Diffeomorphic Mapping for Cortical Surfaces -- 1 Introduction -- 2 Methods -- 2.1 Multiresolution Analysis for Surfaces -- 2.2 Multiresolution Large Deformation Diffeomorphic Metric Mapping for Surfaces -- 2.3 Gradient Computation and Implementation -- 3 Experiments Intro -- Preface -- Organization -- Contents -- Probabilistic Graphical Models -- Colocalization Estimation Using Graphical Modeling and Variational Bayesian Expectation Maximization: Towards a Parameter-Free Approach -- 1 Introduction -- 2 Related Work -- 3 Methods -- 3.1 Bayesian Random-Field Image Modeling -- 3.2 Expectation Maximization for Parameter Estimation -- 3.3 E Step: Variational Inference of the Factorized Posterior -- 3.4 M Step: Parameter Updates -- 4 Validation on Simulated Data -- 5 Results on Real-World Data -- 6 Conclusions -- References -- Template-Based Multimodal Joint Generative Model of Brain Data -- 1 Introduction -- 2 Methods -- 2.1 The Observation Model -- 2.2 Outlier Mixing-Coefficient Prior Estimates -- 2.3 Outlier Segmentation -- 2.4 Modality Synthesis -- 3 Experiments and Results -- 3.1 Quantitative Assessment of Image Synthesis in MRI-CT Data -- 3.2 Quantitative Assessment of the Outlier Segmentation Using Brainweb -- 3.3 Quantitative Assessment of the Outlier Segmentation Using Diabetes Data -- 3.4 Proof-of-Concept Localisation of Anatomically Abnormal Regions in Anatomical Oncology Data -- 3.5 Conclusions -- References -- Generative Method to Discover Genetically Driven Image Biomarkers -- 1 Introduction -- 2 Model -- 3 Inference -- 4 Experiments -- 4.1 Simulation -- 4.2 COPD Study -- 5 Conclusions -- References -- MRI Reconstruction -- A Joint Acquisition-Estimation Framework for MR Phase Imaging -- 1 Introduction -- 2 MAGPI: A Maximum-Likelihood Framework -- 2.1 Problem Formulation -- 2.2 Proposed Solution: MAGPI -- 2.3 Optimizer -- 3 Results -- 3.1 Numerical Phantom -- 3.2 Real Phantom -- 3.3 In-Vivo -- 4 Conclusion -- References -- A Compressed-Sensing Approach for Super-Resolution Reconstruction of Diffusion MRI -- 1 Introduction -- 2 Background -- 3 Method -- 3.1 Total-Variation (TV) Regularization 3.1 Experiment with Synthetic 2D Images -- 3.2 Experiment with PNC Data -- 4 Discussions and Conclusions -- References -- Longitudinal Analysis -- Group Testing for Longitudinal Data -- 1 Introduction -- 2 Distribution of Trajectories in Euclidean Space -- 3 Distribution of Trajectories on Manifolds -- 4 Experiments -- 5 Discussion -- A Properties of the Generalized Bhattacharyya Distance -- References -- Spatio-Temporal Signatures to Predict Retinal Disease Recurrence -- 1 Introduction -- 2 Spatio-Temporal Features in a Joint Reference Space -- 3 Prediction of Recurrence -- 3.1 Prediction by Sparse Linear Regression -- 3.2 Categorical Variable Prediction -- 3.3 Temporal Variable Prediction -- 4 Evaluation and Results -- 5 Conclusion -- References -- Microstructure Imaging -- A Unifying Framework for Spatial and Temporal Diffusion in Diffusion MRI -- 1 Introduction -- 2 Theory -- 2.1 Specific Formulation of the 3D+t Basis -- 2.2 Signal Fitting and Regularization -- 2.3 Synthetic Data Generation and Axcaliber Model -- 3 Experiments -- 3.1 Synthetic Data Experiments -- 3.2 Signal Fitting and Effect of Regularization -- 3.3 Three Dimensional Axcaliber from 3D+t -- 3.4 Axon Diameter from Monkey Data -- 4 Discussion and Conclusions -- A Analytic Laplacian Regularization -- References -- Ground Truth for Diffusion MRI in Cancer: A Model-Based Investigation of a Novel Tissue-Mimetic Material -- 1 Introduction -- 2 Microstructural Model -- 3 Phantom Construction and Characterisation -- 4 MR Methods -- 4.1 MR Acquisition -- 4.2 MR Analysis -- 5 Results and Discussion -- 5.1 Microstructure Characterisation -- 5.2 MR Experiments -- 6 Conclusions -- References -- Shape Analysis -- Anisotropic Distributions on Manifolds: Template Estimation and Most Probable Paths -- 1 Introduction -- 1.1 Content and Outline -- 2 Background 4 Conclusion |
| Title | Information Processing in Medical Imaging |
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