Description |
1 online resource (xxxvii, 672 pages) : illustrations |
Series |
Lecture Notes in Computer Science, 0302-9743 ; 8151 |
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LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics |
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Lecture notes in computer science ; 8151.
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LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics.
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Contents |
Image Reconstruction and Motion Modeling. Improved Multi B-Value Diffusion-Weighted MRI of the Body by Simultaneous Model Estimation and Image Reconstruction (SMEIR) -- Cardiac Image Super-Resolution with Global Correspondence Using Multi-Atlas PatchMatch -- Self-gated Radial MRI for Respiratory Motion Compensation on Hybrid PET/MR Systems -- Complex Lung Motion Estimation via Adaptive Bilateral Filtering of the Deformation Field -- Helical Mode Lung 4D-CT Reconstruction Using Bayesian Model -- 3D Tongue Motion from Tagged and Cine MR Images -- Machine Learning in Medical Image Computing. Learning without Labeling: Domain Adaptation for Ultrasound Transducer Localization -- Segmentation of 4D Echocardiography Using Stochastic Online Dictionary Learning -- Atlas Encoding by Randomized Forests for Efficient Label Propagation -- Robust and Accurate Coronary Artery Centerline Extraction in CTA by Combining Model-Driven and Data-Driven Approaches |
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Incorporating Shape Variability in Image Segmentation via Implicit Template Deformation -- Automatic 3D Motion Estimation of Left Ventricle from C-arm Rotational Angiocardiography Using a Prior Motion Model and Learning Based Boundary Detector -- Imaging, Reconstruction, and Enhancement II. Interventional Digital Tomosynthesis from a Standard Fluoroscopy System Using 2D-3D Registration -- Calibrationless Parallel MRI with Joint Total Variation Regularization -- Denoising PET Images Using Singular Value Thresholding and Stein's Unbiased Risk Estimate -- Super-Resolution Reconstruction Using Cross-Scale Self-similarity in Multi-slice MRI -- Dynamic CT Reconstruction by Smoothed Rank Minimization -- Harnessing Group-Sparsity Regularization for Resolution Enhancement of Lung 4D-CT -- Improved Myocardial Scar Characterization by Super-Resolution Reconstruction in Late Gadolinium Enhanced MRI |
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Direct Parametric Image Reconstruction of Rapid Multi-tracer PET -- Registration II. Non-rigid 2D-3D Medical Image Registration Using Markov Random Fields -- Learning Nonrigid Deformations for Constrained Multi-modal Image Registration -- Non-Rigid 2D-3D Registration Using Anisotropic Error Ellipsoids to Account for Projection Uncertainties during Aortic Surgery -- A Variational Formulation for Discrete Registration -- FLOOR: Fusing Locally Optimal Registrations -- Particle-Guided Image Registration -- Contour-Driven Regression for Label Inference in Atlas-Based Segmentation -- Discriminative Parameter Estimation for Random Walks Segmentation -- Fully Automatic X-Ray Image Segmentation via Joint Estimation of Image Displacements -- IntellEditS: Intelligent Learning-Based Editor of Segmentations -- Automatic Nuchal Translucency Measurement from Ultrasonography |
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Automated Segmentation of CBCT Image Using Spiral CT Atlases and Convex Optimization -- Automatic Analysis of Pediatric Renal Ultrasound Using Shape, Anatomical and Image Acquisition Priors -- Joint Model-Pixel Segmentation with Pose-Invariant Deformable Graph-Priors -- Abdominal Multi-organ CT Segmentation Using Organ Correlation Graph and Prediction-Based Shape and Location Priors -- Physiological Modeling, Simulation, and Planning II. Multimodal Image Driven Patient Specific Tumor Growth Modeling -- Patient-Specific Biomechanical Modeling of Ventricular Enlargement in Hydrocephalus from Longitudinal Magnetic Resonance Imaging -- Simulation of Lipofilling Reconstructive Surgery Using Coupled Eulerian Fluid and Deformable Solid Models -- Towards a Better Understanding of Pelvic System Disorders Using Numerical Simulation -- Constructive Real Time Feedback for a Temporal Bone Simulator |
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Lattice Boltzmann Method for Fast Patient-Specific Simulation of Liver Tumor Ablation from CT Images -- Registration of a Validated Mechanical Atlas of Middle Ear for Surgical Simulation -- Surgical Gesture Segmentation and Recognition -- Intraoperative Guidance and Robotics II. Towards Intra-operative OCT Guidance for Automatic Head Surgery: First Experimental Results -- Configurable Automatic Detection and Registration of Fiducial Frames for Device-to-Image Registration in MRI-Guided Prostate Interventions -- Robust Intraoperative US Probe Tracking Using a Monocular Endoscopic Camera -- Automatic Detection of Multiple and Overlapping EP Catheters in Fluoroscopic Sequences -- Validation of Catheter Segmentation for MR-Guided Gynecologic Cancer Brachytherapy -- A Novel High Intensity Focused Ultrasound Robotic System for Breast Cancer Treatment |
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Microscope, Optical Imaging, and Histology III. Cell Orientation Entropy (COrE): Predicting Biochemical Recurrence from Prostate Cancer Tissue Microarrays -- Robust Selection-Based Sparse Shape Model for Lung Cancer Image Segmentation -- Flash Scanning Electron Microscopy -- Superpixel Classification Based Optic Cup Segmentation -- Learning from Partially Annotated OPT Images by Contextual Relevance Ranking -- Phenotype Detection in Morphological Mutant Mice Using Deformation Features -- Efficient Reconstruction-Based Optic Cup Localization for Glaucoma Screening -- Automatic Detection of Blue-White Veil by Discrete Colour Matching in Dermoscopy Images -- Separation of Benign and Malignant Glands in Prostatic Adenocarcinoma -- Diffusion MRI II. A Cross-Sectional Piecewise Constant Model for Segmenting Highly Curved Fiber Tracts in Diffusion MR Images |
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Improving DTI Resolution from a Single Clinical Acquisition: A Statistical Approach Using Spatial Prior -- Adaptively Constrained Convex Optimization for Accurate Fiber Orientation Estimation with High Order Spherical Harmonics -- Fiber Continuity Based Spherical Deconvolution in Spherical Harmonic Domain -- A 4D Hyperspherical Interpretation of q-space -- Diffusion Propagator Estimation from Sparse Measurements in a Tractography Framework -- Characterizing the DIstribution of Anisotropic MicrO-structural eNvironments with Diffusion-Weighted Imaging (DIAMOND) -- A Generative Model for Resolution Enhancement of Diffusion MRI Data -- Brain Segmentation and Atlases III. Multi-atlas Segmentation without Registration: A Supervoxel-Based Approach -- Adaptive Voxel, Texture and Temporal Conditional Random Fields for Detection of Gad-Enhancing Multiple Sclerosis Lesions in Brain MRI -- Minimizing Joint Risk of Mislabeling for Iterative Patch-Based Label Fusion |
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Lateral Ventricle Segmentation of 3D Pre-term Neonates US Using Convex Optimization -- Semi-automatic Brain Tumor Segmentation by Constrained MRFs Using Structural Trajectories -- A Probabilistic, Non-parametric Framework for Inter-modality Label Fusion -- Weighted Functional Boxplot with Application to Statistical Atlas Construction -- Bayesian Estimation of Probabilistic Atlas for Anatomically-Informed Functional MRI Group Analyses -- Functional MRI and Neuroscience Applications II. Exhaustive Search of the SNP-SNP Interactome Identifies Epistatic Effects on Brain Volume in Two Cohorts -- Sparse Representation of Group-Wise FMRI Signals -- Anatomy-Guided Discovery of Large-Scale Consistent Connectivity-Based Cortical Landmarks -- Sparse Representation of Higher-Order Functional Interaction Patterns in Task-Based FMRI Data -- Fusing Functional Signals by Sparse Canonical Correlation Analysis Improves Network Reproducibility -- Multi-resolutional Brain Network Filtering and Analysis via Wavelets on Non-Euclidean Space -- Implications of Inconsistencies between fMRI and dMRI on Multimodal Connectivity Estimation |
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 81 papers included in the third volume have been organized in the following topical sections: image reconstruction and motion modeling; machine learning in medical image computing; imaging, reconstruction, and enhancement; segmentation; physiological modeling, simulation, and planning; intraoperative guidance and robotics; microscope, optical imaging, and histology; diffusion MRI; brain segmentation and atlases; and functional MRI and neuroscience applications |
Notes |
International conference proceedings |
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Includes author index |
Bibliography |
Includes author index |
Notes |
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
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Computer-assisted surgery -- Congresses
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Computer-assisted surgery.
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Image Processing, Computer-Assisted
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Surgery, Computer-Assisted
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Computer-assisted surgery
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Diagnostic imaging -- Data processing
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Genre/Form |
proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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Form |
Electronic book
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Author |
Mori, Kensaku, editor
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ISBN |
9783642407604 |
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3642407609 |
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3642407595 |
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9783642407598 |
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