Medical image computing and computer-assisted intervention-- MICCAI 2013 16th International Conference, Nagoya, Japan, September 22-26, 2013, Proceedings. Part I /

The three-volume set LNCS 8149, 8150, and 8151 constitutes the refereed proceedings of the 16th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013, held in Nagoya, Japan, in September 2013. Based on rigorous peer reviews, the program committee careful...

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Corporate Authors: International Conference on Medical Image Computing and Computer-Assisted Intervention Nagoya-shi, Japan)
Other Authors: International Conference on Medical Image Computing and Computer-Assisted Intervention, Mori, Kensaku,, SpringerLink (Online service)
Format: eBook
Language: English
Published: Heidelberg : Springer, 2013.
Physical Description: 1 online resource (lix, 780 pages) : illustrations.
Series: Lecture notes in computer science ; 8149.
LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics.
Subjects:
Table of Contents:
  • Physiological Modeling and Computer-Assisted Intervention.
  • Fast Data-Driven Calibration of a Cardiac Electrophysiology Model from Images and ECG
  • Toward Online Modeling for Lesion Visualization and Monitoring in Cardiac Ablation Therapy
  • Prediction of Cranio-Maxillofacial Surgical Planning Using an Inverse Soft Tissue Modelling Approach
  • String Motif-Based Description of Tool Motion for Detecting Skill and Gestures in Robotic Surgery
  • Global Registration of Ultrasound to MRI Using the LC2 Metric for Enabling Neurosurgical Guidance
  • Real-Time Dense Stereo Reconstruction Using Convex Optimisation with a Cost-Volume for Image-Guided Robotic Surgery
  • Brain Imaging.
  • Combining Surface and Fiber Geometry: An Integrated Approach to Brain Morphology
  • Multi-atlas Based Simultaneous Labeling of Longitudinal Dynamic Cortical Surfaces in Infants
  • Identifying Group-Wise Consistent White Matter Landmarks via Novel Fiber Shape Descriptor.
  • The Importance of Being Dispersed: A Ranking of Diffusion MRI Models for Fibre Dispersion Using In Vivo Human Brain Data
  • Estimating Constrained Multi-fiber Diffusion MR Volumes by Orientation Clustering
  • Connectivity Subnetwork Learning for Pathology and Developmental Variations
  • Detecting Epileptic Regions Based on Global Brain Connectivity Patterns
  • Imaging, Reconstruction, and Enhancement I.
  • Joint Intensity Inhomogeneity Correction for Whole-Body MR Data
  • Tissue-Specific Sparse Deconvolution for Low-Dose CT Perfusion
  • Learning the Manifold of Quality Ultrasound Acquisition
  • Example-Based Restoration of High-Resolution Magnetic Resonance Image Acquisitions
  • ToF Meets RGB: Novel Multi-Sensor Super-Resolution for Hybrid 3-D Endoscopy
  • Attenuation Correction Synthesis for Hybrid PET-MR Scanners
  • Low-Rank Total Variation for Image Super-Resolution
  • First Use of Mini Gamma Cameras for Intra-operative Robotic SPECT Reconstruction.
  • Registration I.
  • Robust Model-Based 3D/3D Fusion Using Sparse Matching for Minimally Invasive Surgery
  • Iterative Closest Curve: A Framework for Curvilinear Structure Registration Application to 2D/3D Coronary Arteries Registration
  • Towards Realtime Multimodal Fusion for Image-Guided Interventions Using Self-similarities
  • Efficient Convex Optimization Approach to 3D Non-rigid MR-TRUS Registration
  • Left-Invariant Metrics for Diffeomorphic Image Registration with Spatially-Varying Regularisation
  • A Generalised Spatio-Temporal Registration Framework for Dynamic PET Data: Application to Neuroreceptor Imaging
  • Machine Learning, Statistical Modeling, and Atlases I.
  • Constructing an Un-biased Whole Body Atlas from Clinical Imaging Data by Fragment Bundling
  • Learning a Structured Graphical Model with Boosted Top-Down Features for Ultrasound Image Segmentation
  • Utilizing Disease-Specific Organ Shape Components for Disease Discrimination: Application to Discrimination of Chronic Liver Disease from CT Data.
  • Visual Phrase Learning and Its Application in Computed Tomographic Colonography
  • Fusing Correspondenceless 3D Point Distribution Models
  • Robust Multimodal Dictionary Learning
  • Bayesian Atlas Estimation for the Variability Analysis of Shape Complexes
  • Computer-Aided Diagnosis and Imaging Biomarkers I.
  • Manifold Regularized Multi-Task Feature Selection for Multi-Modality Classification in Alzheimer's Disease
  • Similarity Guided Feature Labeling for Lesion Detection
  • Large Deformation Image Classification Using Generalized Locality-Constrained Linear Coding
  • Persistent Homological Sparse Network Approach to Detecting White Matter Abnormality in Maltreated Children: MRI and DTI Multimodal Study
  • Inter-modality Relationship Constrained Multi-Task Feature Selection for AD/MCI Classification
  • The Impact of Heterogeneity and Uncertainty on Prediction of Response to Therapy Using Dynamic MRI Data.
  • Contrast-Independent Liver-Fat Quantification from Spectral CT Exams
  • Semi-automated Virtual Unfolded View Generation Method of Stomach from CT Volumes
  • Manifold Diffusion for Exophytic Kidney Lesion Detection on Non-contrast CT Images
  • Intraoperative Guidance and Robotics I.
  • Errors in Device Localization in MRI Using Z-Frames
  • 3-D Operation Situs Reconstruction with Time-of-Flight Satellite Cameras Using Photogeometric Data Fusion
  • Multi-section Continuum Robot for Endoscopic Surgical Clipping of Intracranial Aneurysms
  • Inter-operative Trajectory Registration for Endoluminal Video Synchronization: Application to Biopsy Site Re-localization
  • System and Method for 3-D/3-D Registration between Non-contrast-enhanced CBCT and Contrast-Enhanced CT for Abdominal Aortic Aneurysm Stenting
  • Beyond Current Guided Bronchoscopy: A Robust and Real-Time Bronchoscopic Ultrasound Navigation System
  • Microscope, Optical Imaging, and Histology I.
  • A Stochastic Model for Automatic Extraction of 3D Neuronal Morphology.
  • A Viterbi Approach to Topology Inference for Large Scale Endomicroscopy Video Mosaicing
  • Spatially Aware Cell Cluster(SpACCl) Graphs: Predicting Outcome in Oropharyngeal p16+ Tumors
  • Efficient Phase Contrast Microscopy Restoration Applied for Muscle Myotube Detection
  • A Generative Model for OCT Retinal Layer Segmentation by Integrating Graph-Based Multi-surface Searching and Image Registration
  • An Integrated Framework for Automatic Ki-67 Scoring in Pancreatic Neuroendocrine Tumor
  • A Linear Program Formulation for the Segmentation of Ciona Membrane Volumes
  • Automated Nucleus and Cytoplasm Segmentation of Overlapping Cervical Cells
  • Segmentation of Cells with Partial Occlusion and Part Configuration Constraint Using Evolutionary Computation
  • Cardiology I.
  • A Metamorphosis Distance for Embryonic Cardiac Action Potential Interpolation and Classification
  • Segmentation of the Left Ventricle Using Distance Regularized Two-Layer Level Set Approach.
  • Automated Segmentation and Geometrical Modeling of the Tricuspid Aortic Valve in 3D Echocardiographic Images
  • Cardiac Motion Estimation by Optimizing Transmural Homogeneity of the Myofiber Strain and Its Validation with Multimodal Sequences
  • A Novel Total Variation Based Noninvasive Transmural Electrophysiological Imaging
  • Right Ventricle Segmentation with Probability Product Kernel Constraints
  • Vasculatures and Tubular Structures I.
  • A Learning-Based Approach for Fast and Robust Vessel Tracking in Long Ultrasound Sequences
  • Supervised Feature Learning for Curvilinear Structure Segmentation
  • Joint Segmentation of 3D Femoral Lumen and Outer Wall Surfaces from MR Images
  • Model-Guided Directional Minimal Path for Fully Automatic Extraction of Coronary Centerlines from Cardiac CTA
  • Globally Optimal Curvature-Regularized Fast Marching for Vessel Segmentation
  • Low-Rank and Sparse Matrix Decomposition for Compressed Sensing Reconstruction of Magnetic Resonance 4D Phase Contrast Blood Flow Imaging (LoSDeCoS 4D-PCI).
  • Anatomical Labeling of the Circle of Willis Using Maximum A Posteriori Graph Matching
  • Brain Imaging and Basic Techniques.
  • Normalisation of Neonatal Brain Network Measures Using Stochastic Approaches
  • Localisation of the Brain in Fetal MRI Using Bundled SIFT Features.
  • Surface Smoothing: A Way Back in Early Brain Morphogenesis
  • 4D Hyperspherical Harmonic (HyperSPHARM) Representation of Multiple Disconnected Brain Subcortical Structures
  • Modality Propagation: Coherent Synthesis of Subject-Specific Scans with Data-Driven Regularization
  • Non-Local Spatial Regularization of MRI T2 Relaxation Images for Myelin Water Quantification
  • Robust Myelin Quantitative Imaging from Multi-echo T2 MRI Using Edge Preserving Spatial Priors
  • Is Synthesizing MRI Contrast Useful for Inter-modality Analysis?
  • Diffusion MRI I.
  • Regularized Spherical Polar Fourier Diffusion MRI with Optimal Dictionary Learning
  • On Describing Human White Matter Anatomy: The White Matter Query Language
  • Voxelwise Spectral Diffusional Connectivity and Its Applications to Alzheimer's Disease and Intelligence Prediction.
  • Auto-calibrating Spherical Deconvolution Based on ODF Sparsity
  • Evaluating Structural Connectomics in Relation to Different Q-space Sampling Techniques
  • Tensor Metrics and Charged Containers for 3D Q-space Sample Distribution
  • Optimal Diffusion Tensor Imaging with Repeated Measurements
  • Estimation of a Multi-fascicle Model from Single B-Value Data with a Population-Informed Prior
  • Brain Segmentation and Atlases I.
  • Integration of Sparse Multi-modality Representation and Geometrical Constraint for Isointense Infant Brain Segmentation
  • Groupwise Segmentation with Multi-atlas Joint Label Fusion
  • Higher-Order CRF Tumor Segmentation with Discriminant Manifold Potentials
  • Fast, Sequence Adaptive Parcellation of Brain MR Using Parametric Models
  • Multiple Sclerosis Lesion Segmentation Using Dictionary Learning and Sparse Coding
  • Deformable Atlas for Multi-structure Segmentation
  • Hierarchical Probabilistic Gabor and MRF Segmentation of Brain Tumours in MRI Volumes
  • Robust GM/WM Segmentation of the Spinal Cord with Iterative Non-local Statistical Fusion.