Medical Computer Vision
Recognition Techniques and Applications in Medical Imaging
Published on 2. February 2011
XI, 226 pages
978-3-642-18421-5 (ISBN)
Description
This book constitutes the thoroughly refereed post-workshop proceedings of the International Workshop on Medical Computer Vision, MCV 2010, held in Beijing, China, in September 2010 as a satellite event of the 13th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2010.
The 10 revised full papers and 11 revised poster papers presented were carefully reviewed and selected from 38 initial submissions. The papers explore the use of modern image recognition technology in tasks such as
semantic anatomy parsing, automatic segmentation and quantification, anomaly detection and categorization, data harvesting, semantic navigation and visualization, data organization and clustering, and
general-purpose automatic understanding of medical images.
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Bjoern Menze | Georg Langs | Zhuowen Tu
Medical Computer Vision
Recognition Techniques and Applications in Medical Imaging
Book
01/2011
Springer
€53.49
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Content
- Title Page
- Preface
- Organization
- Table of Contents
- Shape, Geometry and Registration
- Conditional Point Distribution Models
- Introduction
- Point Distribution Model
- Problem Definition
- Finding z_0
- Drawing Samples
- Evaluation
- Discussion
- References
- Deformable Registration of Organic Shapes via Surface Intrinsic Integrals: Application to Outer Ear Surfaces
- Introduction
- Problem Formulation
- External Energy
- Proposed Surface Descriptor
- Surface Landmarks
- Minimization of Bending Energy
- Application to Ear Surfaces
- Experiments
- Conclusions
- References
- Iterative Training of Discriminative Models for the Generalized Hough Transform
- Introduction
- Methods
- Generalized Hough Transform
- Discriminative Model Training
- Model Generation and Design of Experiments
- Material and Task
- Results
- Conclusion
- References
- Topology Noise Removal for Curve and Surface Evolution
- Introduction
- Background
- Method
- Implementation and Experimental Results
- References
- Non-differentiable Cases
- Exploring Cortical Folding Pattern Variability Using Local Image Features
- Introduction
- Feature-Based Modelling
- Local Image Features
- Learning a Model
- Experimental Results and Discussion
- Identifying Cortical Folds
- Hemisphere Classification
- Conclusion
- References
- Markov Models for Image Reconstruction and Analysis
- Surgical Phases Detection from Microscope Videos by Combining SVM and HMM
- Introduction
- Materials and Methods
- Data-Set
- Feature Extraction and Selection
- Supervised Classification
- HMM
- Cross-Validation
- Results
- Discussion
- Microscope Video Data
- Accuracy of the Detection
- Clinical Applications
- Conclusion
- References
- Motion Artifact Reduction in 4D Helical CT: Graph-Based Structure Alignment
- Introduction
- Methods
- Computing the Optimal Interface Seam in
- Seam Flow via Graph Cuts
- Flow Propagation by Solving Laplace Equation
- Experimentation and Results
- Experimental Method and Material
- Results and Discussion
- Conclusion
- References
- Comparative Validation of Graphical Models for Learning Tumor Segmentations from Noisy Manual Annotations
- Introduction and Related Work
- Theory and Modelling
- Experiments
- Results
- Discussion and Outlook
- References
- Automatic Anatomy Localization via Classification
- Localization of 3D Anatomical Structures Using Random Forests and Discrete Optimization
- Introduction
- Sparse MRF Appearance Models
- Domain Specific Interest Points
- Haar-Like Features
- Random Forest Based Appearance Learning and Search
- Mean-Shift Based Interest Point Generation
- 3D Geometric Model Matching Using Discrete Optimization
- Modeling Edge Length and Orientation
- Formulating the MRF
- Experiments
- Conclusion and Outlook
- References
- Detection of 3D Spinal Geometry Using Iterated Marginal Space Learning
- Introduction
- Related Work
- Methods
- Global Probabilistic Spine Model
- Iterated Marginal Space Learning
- Experimental Results
- Data
- Results
- Conclusion and Future Work
- References
- Regression Forests for Efficient Anatomy Detection and Localization in CT Studies
- Introduction
- Background on Regression Trees
- Multivariate Regression Forests for Organ Localization
- Problem Parametrization and Regression Forest Learning
- Results, Comparisons and Validation
- Conclusion
- References
- Correcting Misalignment of Automatic 3D Detection by Classification: Ileo-Cecal Valve False Positive Reduction in CT Colonography
- Introduction
- Materials and Methods
- Progressive Ileo-Cecal Valve Detection in 3D
- Contextual N-Box ICV Detection by Spatial Fusion
- Features and ICV False Positive Classification
- Experimental Results
- Discussion
- References
- Learning Adaptive and Sparse Representations of Medical Images
- Introduction
- Relevant Literature
- Learning Sparse Overcomplete Representations
- Experimental Assessment
- Conclusion
- References
- Feature Selection for SVM-Based Vascular Anomaly Detection
- Introduction
- Materials and Methods
- Experimental Data
- Evaluated Features
- Feature Selection Strategies
- Support Vector Machine Classification
- Performance Evaluation
- Results
- Feature Selection
- Performance of DLD-SVM with the Selected Features
- Discussion
- Conclusions
- References
- Texture Analysis
- Multiple Classifier Systems in Texton-Based Approach for the Classification of CT Images of Lung
- Introduction
- Texton-Based Approach
- Texton-Based Texture Classification
- Multiple Classifier Systems
- Experimental Setup
- Results
- Discussions and Conclusion
- References
- Imaging as a Surrogate for the Early Prediction and Assessment of Treatment Response through the Analysis of 4-D Texture Ensembles (ISEPARATE)
- Introduction
- Methods
- Registration
- Features Extracted from Anatomical and Functional Images
- Comparing and Combining Features from Differing Acquisition Times
- Feature Selection and Classification
- Results
- Discussion and Conclusion
- References
- A Texture Manifold for Curve-Based Morphometry of the Cerebral Cortex
- Introduction
- Estimating the Texture Manifold from Folds
- A Ridge Detector on Surfaces
- A Dictionary of Smooth Vector Fields to Model the Texture Manifold
- Relaxation Labeling of Tangential and Normal Curvature
- Statistical Tests over Curve Length
- Results
- Conclusion
- References
- Semisupervised Probabilistic Clustering of Brain MR Images Including Prior Clinical Information
- Introduction
- Methods
- Unsupervised SPARC
- Semisupervised SPARC
- Supervised SPARC
- Experiments and Results
- Discussion and Conclusion
- References
- Segmentation
- Simultaneous Multi-object Segmentation Using Local Robust Statistics and Contour Interaction
- Introduction
- Method
- Online Feature Learning
- Contour Evolution
- Contour Interaction
- Implementation, Experiments and Results
- Vervet Brain Segmentation
- Quantitative Analysis for Ventricle and Caudate Nucleus
- Abdominal Organ Segmentation
- Conclusions and Future Work
- References
- Spotlight: Automated Confidence-Based User Guidance for Increasing Efficiency in Interactive 3D Image Segmentation
- Introduction
- Method
- Extending T-LW to Oblique Slices
- Segmentation Assessment
- Spotlight: Automated Slice Plane Suggestion
- Results
- Implementation Details
- Synthetic Tests
- Real Medical Data Tests
- User Study Tests
- Conclusions
- References
- Automated Segmentation of 3D CT Images Based on Statistical Atlas and Graph Cuts
- Introduction
- Proposed Segmentation Framework
- Graph Cuts
- Proposed Energies for Graph Cuts
- Statistical Atlas Based Shape Estimation
- Experimental Evaluations and Comparisons
- Materials
- Results
- Discussion
- References
- Author Index
