Medical image computing and computer-assisted intervention-- MICCAI 2013 16th International Conference, Nagoya, Japan, September 22-26, 2013, Proceedings. Part III /
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...
| 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 (xxxvii, 672 pages) : illustrations. |
| Series: |
Lecture notes in computer science ;
8151. LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics. |
| Subjects: |
Table of 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.