Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015
18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part II
Published on 28. September 2015
XXVII, 720 pages
978-3-319-24571-3 (ISBN)
Description
The three-volume set LNCS 9349, 9350, and 9351 constitutes the refereed proceedings of the 18th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2015, held in Munich, Germany, in October 2015. Based on rigorous peer reviews, the program committee carefully selected 263 revised papers from 810 submissions for presentation in three volumes. The papers have been organized in the following topical sections: quantitative image analysis I: segmentation and measurement; computer-aided diagnosis: machine learning; computer-aided diagnosis: automation; quantitative image analysis II: classification, detection, features, and morphology; advanced MRI: diffusion, fMRI, DCE; quantitative image analysis III: motion, deformation, development and degeneration; quantitative image analysis IV: microscopy, fluorescence and histological imagery; registration: method and advanced applications; reconstruction, image formation, advanced acquisition - computational imaging; modelling and simulation for diagnosis and interventional planning; computer-assisted and image-guided interventions.
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Nassir Navab | Joachim Hornegger | William M. Wells
Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015
18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part II
Book
11/2015
Springer
€53.49
Shipment within 10-15 days
Content
- Intro
- Preface
- Organization
- Contents - Part II
- Computer Aided Diagnosis II: Automation
- Computer-Aided Detection and Quantification of Intracranial Aneurysms
- 1 Introduction
- 2 Methods
- 3 Experiments and Results
- 4 Discussion
- References
- Discriminative Feature Selection for Multiple Ocular Diseases Classification by Sparse Induced Graph Regularized Group Lasso
- 1 Introduction
- 2 Discriminative Feature Selection by Graph Regularized Group Lasso
- 3 Experiments
- 4 Conclusion
- References
- Detection of Glands and Villi by Collaboration of Domain Knowledge and Deep Learning
- 1 Introduction
- 2 Methodology
- 3 Experiments and Discussions
- References
- Minimum S-Excess Graph for Segmenting and Tracking Multiple Borders with HMM
- 1 Introduction
- 2 ProposedMethod
- 3 Application and Results
- 4 Conclusions
- References
- Automatic Artery-Vein Separation from Thoracic CT Images Using Integer Programming
- 1 Introduction
- 2 Method
- 3 Experimental Setup and Results
- 4 Discussion and Conclusion
- References
- Automatic Dual-View Mass Detection in Full-Field Digital Mammograms
- 1 Introduction
- 2 Methods
- 3 Results
- 4 Discussion
- References
- Leveraging Mid-Level Semantic Boundary Cues for Automated Lymph Node Detection
- 1 Introduction
- 2 Methods
- 3 Evaluation and Discussion
- 4 Conclusion
- References
- Ultrasound-Based Detection of Prostate Cancer Using Automatic Feature Selection with Deep Belief Networks
- 1 Introduction
- 2 Materials
- 3 Methods
- 4 Results
- 5 Discussion and Conclusion
- References
- Regenerative Random Forest with Automatic Feature Selection to Detect Mitosis in Histopathological Breast Cancer Images
- 1 Introduction
- 2 Methods
- 3 Experimental Results
- 4 Conclusions
- References
- HoTPiG: A Novel Geometrical Feature for Vessel Morphometry and Its Application to Cerebral Aneurysm Detection
- 1 Introduction
- 2 HoTPiG
- 3 Computer-Assisted Detection of Aneurysms
- 4 Experimental Results
- 5 Discussion and Conclusion
- References
- Robust Segmentation of Various Anatomies in 3D Ultrasound Using Hough Forests and Learned Data Representations
- 1 Introduction and Related Work
- 2 Method
- 3 Results
- 4 Conclusion and Acknowledgement
- References
- Improved Parkinson's Disease Classification from Diffusion MRI Data by Fisher Vector Descriptors
- 1 Introduction
- 2 Methods
- 3 Experiments
- 4 Discussion and Future Work
- References
- Automated Shape and Texture Analysis for Detection of Osteoarthritis from Radiographs of the Knee
- 1 Introduction
- 2 Background
- 3 Method
- 4 Results
- 5 Discussion and Conclusion
- References
- Hashing Forests for Morphological Search and Retrieval in Neuroscientific Image Databases
- 1 Introduction
- 2 Methodology
- 3 Experiments and Observations
- 4 Conclusions
- References
- Automatic Graph-Based Localization of Cochlear Implant Electrodes in CT
- 1 Introduction
- 2 Methods
- 3 Results
- 4 Conclusions
- References
- Towards Non-invasive Image-Based Early Diagnosis of Autism
- 1 Introduction
- 2 Methods
- 3 Experimental Results and Conclusions
- References
- Identifying Connectome Module Patterns via New Balanced Multi-graph Normalized Cut
- 1 Introduction
- 2 Methodology
- 3 Experiments and Discussions
- 4 Conclusion and Future Work
- References
- Semantic 3-D Labeling of Ear Implants Using a Global Parametric Transition Prior
- 1 Introduction
- 2 Model
- 3 Optimization
- 4 Learning
- 5 Experiments
- 6 Conclusions and Future Work
- References
- Learning the Correlation Between Images and Disease Labels Using Ambiguous Learning
- 1 Introduction
- 2 Related Work
- 3 Extracting Disease Labels from Reports
- 4 Feature Extraction from Doppler Images
- 5 Ambiguity Reduction Using Machine Learning
- 6 Results
- 7 Conclusions
- References
- Longitudinal Analysis of Brain Recovery after Mild Traumatic Brain Injury Based on Groupwise Consistent Brain Network Clusters
- 1 Introduction
- 2 Data Acquisition
- 3 Method
- 4 Results
- 5 Discussion and Conclusion
- References
- Registration: Method and Advanced Applications
- Dictionary Learning Based Image Descriptor for Myocardial Registration of CP-BOLD MR
- 1 Introduction
- 2 Background
- 3 Method
- 4 Results
- 5 Discussions and Conclusion
- References
- Estimating Patient Specific Templates for Pre-operative and Follow-Up Brain Tumor Registration
- 1 Introduction
- 2 Segmentation of Pre-operative and Follow-Up Scans
- 3 Combined Registration and Inpainting Framework
- 4 Experiments
- 5 Conclusion
- References
- Topography-Based Registration of Developing Cortical Surfaces in Infants Using Multidirectional Varifold Representation
- 1 Introduction
- 2 Varifold-Based Surface Matching
- 3 Topography-Based Cortical Surface Matching Using Varifold Metric
- 4 Results
- 5 Discussion and Conclusion
- References
- A Liver Atlas Using the Special Euclidean Group
- 1 Introduction
- 2 The Special Euclidean Group
- 3)
- 3 Shape Encoding and Model Construction
- 4 Experiments and Results
- 5 Discussion and Conclusions
- References
- Multi-scale and Multimodal Fusion of Tract-Tracing, Myelin Stain and DTI-derived Fibers in Macaque Brains
- 1 Introduction
- 2 Materials and Preprocessing
- 3 Methods
- 4 Experimental Results
- 5 Discussion and Conclusion
- References
- Space-Frequency Detail-Preserving Construction of Neonatal Brain Atlases
- 1 Introduction
- 2 Method
- 3 Experiments
- 4 Conclusion
- References
- Mid-Space-Independent Symmetric Data Term for Pairwise Deformable Image Registration
- 1 Introduction
- 2 Methods
- 3 Experimental Results
- 4 Conclusions
- References
- A 2D-3D Registration Framework for Freehand TRUS-Guided Prostate Biopsy
- 1 Introduction
- 2 Methods
- 3 Experiments and Results
- 4 Discussion and Conclusions
- References
- Unsupervised Free-View Groupwise Segmentation for M3 Cardiac Images Using Synchronized Spectral Network
- 1 Introduction
- 2 Methodology
- 3 Experiment
- 4 Conclusions
- References
- Uncertainty Quantification for LDDMM Using a Low-Rank Hessian Approximation
- 1 Introduction
- 2 Covariance Matrix and Hessian of the Energy
- 3 Hessian Calculation and Covariance Estimation
- 4 Experiments and Discussions
- References
- A Stochastic Quasi-Newton Method for Non-Rigid Image Registration
- 1 Introduction
- 2 Methods
- 3 Experiment
- 4 Results
- 5 Conclusion
- References
- Locally Orderless Registration for Diffusion Weighted Images
- 1 Introduction
- 2 Previous Work and Background
- 3 Locally Orderless DWI
- 4 Image Registration
- 5 Experiments and Results
- 6 Discussion and Conclusion
- References
- Predicting Activation Across Individuals with Resting-State Functional Connectivity Based Multi-Atlas Label Fusion
- 1 Introduction
- 2 Method
- 3 Experiments
- 4 Conclusion
- References
- Crossing-Lines Registration for Direct Electromagnetic Navigation
- 1 Introduction
- 2 Materials and Methods
- 3 Results
- 4 Discussion
- References
- A Robust Outlier Elimination Approach for Multimodal Retina Image Registration
- 1 Introduction
- 2 Proposed Method
- 3 Results
- 4 Conclusions
- References
- Estimating Large Lung Motion in COPD Patients by Symmetric Regularised Correspondence Fields
- 1 Introduction
- 2 Method
- 3 Experiments and Results
- 4 Conclusion
- References
- Combining Transversal and Longitudinal Registration in IVUS Studies
- 1 Introduction
- 2 Methodology
- 3 Results and Discussion
- 4 Conclusions
- References
- Interpolation and Averaging of Multi-Compartment Model Images
- 1 Introduction
- 2 Theory
- 3 Experiments and Results
- 4 Conclusion
- References
- Structured Decision Forests for Multi-modal Ultrasound Image Registration
- 1 Introduction
- 2 Methods
- 3 Experiments and Results
- 4 Conclusion
- References
- A Hierarchical Bayesian Model for Multi-Site Diffeomorphic Image Atlases
- 1 Introduction
- 2 Background
- 3 Hierarchical Bayesian Model
- 4 Results
- 5 Conclusion
- References
- Distance Networks for Morphological Profiling and Characterization of DICCCOL Landmarks
- 1 Introduction
- 2 Method
- 3 Results
- 4 Conclusion
- References
- Which Metrics Should Be Used in Non-linear Registration Evaluation?
- 1 Introduction
- 2 Methods
- 3 Results
- 4 Discussion
- 5 Conclusion
- References
- Modelling and Simulation for Diagnosis and Interventional Planning
- Perfusion Paths: Inference of Voxelwise Blood Flow Trajectories in CT Perfusion
- 1 Introduction
- 2 Related Work
- 3 MathematicalModel
- 4 Experiments
- 5 Discussion and Conclusion
- References
- Automatic Prostate Brachytherapy Preplanning Using Joint Sparse Analysis
- 1 Introduction
- 2 Methods
- 3 Experiments and Results
- 4 Discussion and Conclusion
- References
- Bayesian Personalization of Brain Tumor Growth Model
- 1 Introduction
- 2 Method
- 3 Experiments and Results
- 4 Conclusion
- References
- Vito - A Generic Agent for Multi-physics Model Personalization: Application to Heart Modeling
- 1 Introduction
- 2 Method
- 3 Experiments and Results
- 4 Discussion and Conclusion
- References
- Database-Based Estimation of Liver Deformation under Pneumoperitoneum for Surgical Image-Guidance and Simulation
- 1 Introduction
- 2 Methods
- 3 Experiments
- 4 Conclusions
- References
- Computational Sonography
- 1 Introduction
- 2 Computational Sonography for 3D Ultrasound
- 3 Experimental Evaluation
- 4 Conclusion
- References
- Hierarchical Shape Distributions for Automatic Identification of 3D Diastolic Vortex Rings from 4D Flow MRI
- 1 Introduction
- 2 Methodology
- 3 D2 Signature of Shape Distributions
- 4 Hierarchical Shape Distributions for Vortex Ring Identification
- 5 Quantitative Characterization of the Identified Vortex Ring in the LV
- 6 Dataset, Preprocessing and Validation
- 7 Results
- 8 Discussion and Conclusion
- References
- Mean Aneurysm Flow Amplitude Ratio Comparison between DSA and CFD
- 1 Introduction
- 2 Methods
- 3 Results
- 4 Discussion
- 5 Conclusion
- References
- MRI-Based Lesion Profiling of Epileptogenic Cortical Malformations
- 1 Introduction
- 2 Methods
- 3 Experiment and Results
- 4 Discussion
- Reference
- Patient-specific 3D Ultrasound Simulation Based on Convolutional Ray-tracing and Appearance Optimization
- 1 Introduction
- 2 Methods
- 3 Evaluation
- 4 Conclusion
- References
- Physiological Models into ECG-Based Inference
- 1 Introduction
- 2 Methods
- 3 Experiments and Results
- References
- Radiopositive Tissue Displacement Compensation for SPECT-guided Surgery
- 1 Introduction
- 2 Materials and Methods
- 3 Experiments & Results
- 4 Discussion and Conclusion
- References
- A Partial Domain Approach to Enable Aortic Flow Simulation Without Turbulent Modeling
- 1 Introduction
- 2 The Partial Domain Approach
- 3 Experimental Setup
- 4 Preprocessing
- 5 Results
- 6 Discussion and Conclusion
- References
- Reconstruction, Image Formation, Advanced Acquisition - Computational Imaging
- Flexible Reconstruction and Correction of Unpredictable Motion from Stacks of 2D Images
- 1 Introduction
- 2 Method
- 3 Evaluation and Results
- 4 Discussion and Conclusion
- References
- Efficient Preconditioning in Joint Total Variation Regularized Parallel MRI Reconstruction
- 1 Introduction
- 2 Joint Total Variation Regularized Model
- 3 Algorithm
- 4 Experiments
- 5 Conclusion
- References
- Accessible Digital Ophthalmoscopy Based on Liquid-Lens Technology
- 1 Introduction
- 2 Simulation, Design, and Integration
- 3 Results
- 4 Conclusions and Discussion
- References
- Estimate, Compensate, Iterate: Joint Motion Estimation and Compensation in 4-D Cardiac C-arm Computed Tomography
- 1 Introduction
- 2 Materials and Methods
- 3 Results and Discussion
- 4 Conclusion
- References
- Robust Prediction of Clinical Deep Brain Stimulation Target Structures via the Estimation of Influential High-Field MR Atlases
- 1 Introduction
- 2 Methods
- 3 Results
- 4 Conclusion
- References
- RF Ultrasound Distribution-Based Confidence Maps
- 1 Introduction
- 2 Method
- 3 Experiments
- 4 Result and Conclusion
- References
- Cooperative Robotic Gamma Imaging: Enhancing US-guided Needle Biopsy
- 1 Introduction
- 2 Materials and Methods
- 3 Experimental Validation
- 4 Discussion
- 5 Conclusion
- References
- Bayesian Tomographic Reconstruction Using Riemannian MCMC
- 1 Introduction
- 2 Efficient Sampling of Tomographic Imaging Data
- 3 Experiments
- 4 Conclusion
- References
- A Landmark-Based Approach for Robust Estimation of Exposure Index Values in Digital Radiography
- 1 Introduction
- 2 Exposure Index Algorithm
- 3 Estimation of the Exposure Index from Local Measures Associated with Landmarks
- 4 Results
- 5 Conclusion
- References
- Accelerated Dynamic MRI Reconstruction with Total Variation and Nuclear Norm Regularization
- 1 Introduction
- 2 Model
- 3 Algorithm
- 4 Experiments
- 5 Conclusion
- References
- Robust PET Motion Correction Using Non-local Spatio-temporal Priors
- 1 Introduction
- 2 Methods
- 3 Experiments
- 4 Conclusion
- References
- Hierarchical Reconstruction of 7T-like Images from 3T MRI Using Multi-level CCA and Group Sparsity
- 1 Introduction
- 2 ProposedMethod
- 3 Experimental Results
- 4 Conclusion and Discussion
- References
- Robust Spectral Denoising for Water-Fat Separation in Magnetic Resonance Imaging
- 1 Introduction
- 2 Water-Fat Imaging
- 3 ProposedMethod
- 4 Experiments and Results
- 5 Conclusion
- References
- Scale Factor Point Spread Function Matching: Beyond Aliasing in Image Resampling
- 1 Introduction
- 2 Methods and Methodological Considerations
- 3 Validation and Discussion
- 4 Conclusion
- References
- Analytic Quantification of Bias and Variance of Coil Sensitivity Profile Estimators for Improved Image Reconstruction in MRI
- 1 Introduction
- 2 Theory
- 3 Experiments
- 4 Results
- 5 Discussion
- References
- Mobile C-arm 3D Reconstruction in the Presence of Uncertain Geometry
- 1 Introduction
- 2 Mobile Acquisition Setup
- 3 Joint Reconstruction and Geometry Estimation
- 4 Results
- 5 Conclusion
- References
- Fast Preconditioning for Accelerated Multi-contrast MRI Reconstruction
- 1 Introduction
- 2 Algorithm
- 3 Experiments
- 4 Conclusion
- References
- Author Index
