Machine Learning in Medical Imaging First International Workshop, MLMI 2010, Held in Conjunction with MICCAI 2010, Beijing, China, September 20, 2010, Proceedings

• Main Authors: International Workshop on Machine Learning in Medical Imaging (MLMI), Wang, Fei
• Format: eBook Book
• Language: English
• Published: Netherlands Springer Nature 2010; Springer; Springer Berlin / Heidelberg
• Edition: 1
• Series: Lecture Notes in Computer Science
• Subjects: Artificial Intelligence > Congresses; Bildgebendes Verfahren. swd; Congresses; Diagnostic imaging > Congresses; Kongress. swd; Machine learning; Maschinelles Lernen. swd; Peking swd; Special computer methods; Statistics as Topic > Congresses
• ISBN: 9783642159480; 3642159486; 9783642159473; 3642159478

The first International Workshop on Machine Learning in Medical Imaging, MLMI 2010, was held at the China National Convention Center, Beijing, China on Sept- ber 20, 2010 in conjunction with the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2010. Mac...

Table of Contents:

• Statistical Segmentation -- Conclusion -- References -- Prediction of Dementia by Hippocampal Shape Analysis -- Introduction -- Methods -- Data Collection -- Segmentation -- Shape Representation -- Classification -- Experiments and Results -- Discussion and Conclusions -- References -- Multi-Class Sparse Bayesian Regression for Neuroimaging Data Analysis -- Introduction -- Model and Algorithm -- Experiments and Results -- Discussion -- References -- Appearance Normalization of Histology Slides -- Introduction -- StainVectorModel -- Plane Fitting with a Plane Prior -- Clustering of the Data Points -- Validation and Experimental Results -- Conclusions -- References -- Parallel Mean Shift for Interactive Volume Segmentation -- Introduction -- Parallel Mean Shift Algorithm -- Parallel Dynamic Mean Shift by Path Transmission -- Parallel MS for 3D Medical Volume Segmentation -- User Interface for Volume Segmentation -- Experiment Results -- Conclusions -- References -- Soft Tissue Discrimination Using Magnetic Resonance Elastography with a New Elastic Level Set Model -- Introduction -- Methods -- Experiments and Results -- Discussion and Conclusion -- References -- Fast and Automatic Heart Isolation in 3D CT Volumes: Optimal Shape Initialization -- Introduction -- Machine Learning Based Approach -- Marginal Space Learning for 3D Pose Estimation -- Optimal Mean Shape for Accurate Shape Initialization -- Heart Surface Boundary Delineation -- Post-processing to Exclude Rib Cage from Heart Mask -- Experiments -- Conclusion -- References -- Relation-Aware Spreadsheets for Multimodal Volume Segmentation and Visualization -- Introduction -- Related Work -- SystemOverview -- Spatial Relation -- UserInterface -- Experimental Results -- Conclusion -- References -- A Bayesian Learning Application to Automated Tumour Segmentation for Tissue Microarray Analysis
• Introduction -- Methods -- Feature Extraction -- MRF Segmentation -- Parameter Definition -- Experiments -- Conclusion -- References -- Generalized Sparse Classifiers for Decoding Cognitive States in fMRI -- Introduction -- Proposed Method -- Problem Formulation -- Spectral Regression -- Generalized Sparse Classifiers -- Materials -- Results and Discussion -- Conclusion -- References -- Manifold Learning for Biomarker Discovery in MR Imaging -- Introduction -- Method -- Manifold Learning for Cross-Sectional Data -- Manifold Learning for Longitudinal Data -- Classification Using Manifold Learning -- Experiments and Results -- Subjects -- Parameter Settings -- Classification -- Discussion and Conclusion -- References -- Optimal Live Cell Tracking for Cell Cycle Study Using Time-Lapse Fluorescent Microscopy Images -- Introduction -- Methods -- Graph Topology Based Local Neighboring Information -- Cell Migration Prediction Using IMM Filter -- Similarity Metrics -- Optimal Cell Association -- Experiments and Results -- Discussion and Conclusions -- References -- Fully Automatic Joint Segmentation for Computer-Aided Diagnosis and Planning -- Introduction -- Initial Model Positioning -- Segmentation Using Deformable Models -- Refining the Delineation by Cost Path Optimization -- Evaluation -- Conclusion -- References -- Accurate Identification of MCI Patients via Enriched White-Matter Connectivity Network -- Introduction -- Materials and Methods -- Data Acquisition -- Method -- Results -- Conclusion -- References -- Feature Extraction for fMRI-Based Human Brain Activity Recognition -- Introduction -- fMRIDataandActiveVoxels -- Approach -- Time-Domain Filtering -- CS Based Feature Extraction -- Brain Activity Recognition -- Conclusion -- References -- Sparse Spatio-temporal Inference of Electromagnetic Brain Sources -- Introduction -- Method
• Empirical Evaluation -- Discussion -- References -- Optimal Gaussian Mixture Models of Tissue Intensities in Brain MRI of Patients with Multiple-Sclerosis -- Introduction -- Data Acquisition and Preprocessing -- Intensity Variations over Brain Anatomical Regions -- GMM Modeling of Tissue Types -- Experimental Results and Discussion -- Conclusion and Future work -- References -- Preliminary Study on Appearance-Based Detection of Anatomical Point Landmarks in Body Trunk CT Images -- Introduction -- Appearance Models for Detecting Point Landmarks -- Decision of Optimal ROI Size for Point Landmark -- Generative Learning -- Detection of Point Landmark Candidates -- Results and Discussion -- Summary -- References -- Principal-Component Massive-Training Machine-Learning Regression for False-Positive Reduction in Computer-Aided Detection of Polyps in CT Colonography -- Introduction -- Principal-Component MTANN (PC-MTANN) -- MTANN Framework -- Principal-Component Dimension Reduction -- CTC Database and Evaluation -- Results -- Conclusion -- References -- Author Index
• Title Page -- Preface -- Organization -- Table of Contents -- Fast Automatic Detection of Calcified Coronary Lesions in 3D Cardiac CT Images -- Introduction -- Data Preparation -- Feature Extraction -- Learning Methods -- Probabilistic Boosting Tree -- Random Forests -- Experiments -- Discussion and Future Work -- References -- Automated Intervertebral Disc Detection from Low Resolution, Sparse MRI Images for the Planning of Scan Geometries -- Introduction -- Method -- A Two Step Approach for the Intervertebral Disc Detection -- Graphical Model Based Vertebral Body Detection -- Intervertebral Disc Detection -- Intervertebral Disc Detection on Sagittal Slices -- Intervertebral Disc Detection on Coronal Slices -- 3D Intervertebral Disc Configuration from 2D Detection Results -- Experimental Results -- Discussion and Conclusion -- References -- Content-Based Medical Image Retrieval with Metric Learning via Rank Correlation -- Introduction -- Methodology -- Kendall-Tau Coefficient -- A New Rank Correlation Measure: SKT -- Similarity Metric Learning via Direct Optimization on SKT -- Experiments and Discussion -- Data Description and Local Feature Extraction -- Experimental Evaluation and Statistical Analysis -- Conclusion -- References -- A Hyper-parameter Inference for Radon Transformed Image Reconstruction Using Bayesian Inference -- Introduction -- Formulation -- Radon Transform -- FBP Reconstruction -- StochasticModel -- Image Reconstruction -- Hyper-parameter Inference -- Computer Simulation -- Conclusion -- References -- Patch-Based Generative Shape Model and MDL Model Selection for Statistical Analysis of Archipelagos -- Introduction -- Statistical Objective -- Generative Shape Model -- Shape Code Book -- Time Homogeneous Markov Model -- Model Selection -- Segmentation Using the Shape Prior -- Experiments -- The Generative Shape Model