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Author International Conference on Medical Image Computing and Computer-Assisted Intervention (16th : 2013 : Nagoya-shi, Japan)

Title Medical image computing and computer-assisted intervention-- MICCAI 2013 : 16th International Conference, Nagoya, Japan, September 22-26, 2013, Proceedings. Part I / Kensaku Mori, Ichiro Sakuma, Yoshinobu Sato, Christian Barillot, Nassir Navab (eds.)
Published Heidelberg : Springer, 2013

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Description 1 online resource (lix, 780 pages) : illustrations
Series Lecture Notes in Computer Science, 0302-9743 ; 8149
LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics
Lecture notes in computer science ; 8149.
LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics.
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
Summary 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 carefully selected 262 revised papers from 789 submissions for presentation in three volumes. The 95 papers included in the first volume have been organized in the following topical sections: physiological modeling and computer-assisted intervention; imaging, reconstruction, and enhancement; registration; machine learning, statistical modeling, and atlases; computer-aided diagnosis and imaging biomarkers; intraoperative guidance and robotics; microscope, optical imaging, and histology; cardiology, vasculatures and tubular structures; brain imaging and basic techniques; diffusion MRI; and brain segmentation and atlases
Notes International conference proceedings
Online resource; title from PDF title page (SpringerLink, viewed September 24, 2013)
In (MP) Medical image computing and computer-assisted intervention -- MICCAI 2013 nnam
Subject Diagnostic imaging -- Data processing -- Congresses
Computer-assisted surgery -- Congresses
Computer-assisted surgery.
Image Processing, Computer-Assisted
Surgery, Computer-Assisted
Computer-assisted surgery
Diagnostic imaging -- Data processing
Genre/Form proceedings (reports)
Conference papers and proceedings
Conference papers and proceedings.
Actes de congrès.
Form Electronic book
Author Mori, Kensaku, editor
ISBN 9783642408113
3642408117
3642408109
9783642408106