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Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2010

  • Kartonierter Einband
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The13thInternationalConferenceonMedicalImageComputingandComputer- Assisted Intervention, MICCAI 2010, was held in Beijing, China from 20-24 September,2010.ThevenuewastheChinaNationalConventionCenter(CNCC), China'slargestandnewestconferencecenterwith excellentfacilities andaprime location in the heart of the Olympic Green, adjacent to characteristic constr- tions like the Bird's Nest (National Stadium) and the Water Cube (National Aquatics Center). MICCAI is the foremost international scienti?c event in the ?eld of medical image computing and computer-assisted interventions. The annual conference has a high scienti?c standard by virtue of the threshold for acceptance, and accordingly MICCAI has built up a track record of attracting leading scientists, engineersandcliniciansfromawiderangeoftechnicalandbiomedicaldisciplines. This year, we received 786 submissions, well in line with the previous two conferences in New York and London. Three program chairs and a program committee of 31 scientists, all with a recognized standing in the ?eld of the conference, were responsible for the selection of the papers. The review process was set up such that each paper was considered by the three program chairs, two program committee members, and a minimum of three external reviewers. The review process was double-blind, so the reviewers did not know the identity of the authors of the submission. After a careful evaluation procedure, in which all controversialand gray area papers were discussed individually, we arrived at a total of 251 accepted papers for MICCAI 2010, of which 45 were selected for podium presentation and 206 for poster presentation. The acceptance percentage (32%) was in keeping with that of previous MICCAI conferences. All 251 papers are included in the three MICCAI 2010 LNCS volumes.

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The three-volume set LNCS 6361, 6362 and 6363 constitutes the refereed proceedings of the 13th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2010, held in Beijing, China, in September 2010. Based on rigorous peer reviews, the program committee carefully selected 251 revised papers from 786 submissions for presentation in three volumes. The first volume includes 84 papers organized in topical sections on computer-aided diagnosis, planning and guidance of interventions, image segmentation, image reconstruction and restoration, functional and diffusion-weighted MRI, modeling and simulation, instrument and patient localization and tracking, quantitative image analysis, image registration, computational and interventional cardiology, and diffusion tensor MR imaging and analysis.

Computer-Aided Diagnosis.- Automated Macular Pathology Diagnosis in Retinal OCT Images Using Multi-Scale Spatial Pyramid with Local Binary Patterns.- Non-invasive Image-Based Approach for Early Detection of Acute Renal Rejection.- Hierarchical Segmentation and Identification of Thoracic Vertebra Using Learning-Based Edge Detection and Coarse-to-Fine Deformable Model.- Automatic Detection and Segmentation of Axillary Lymph Nodes.- Image Dissimilarity-Based Quantification of Lung Disease from CT.- Planning and Guidance of Interventions.- Vessel Segmentation for Ablation Treatment Planning and Simulation.- Integrated Segmentation and Nonrigid Registration for Application in Prostate Image-Guided Radiotherapy.- Anatomically-Driven Soft-Tissue Simulation Strategy for Cranio-Maxillofacial Surgery Using Facial Muscle Template Model.- Dynamic Shape Instantiation for Intra-operative Guidance.- Dynamic Guidance for Robotic Surgery Using Image-Constrained Biomechanical Models.- Image Segmentation.- Actin Filament Segmentation Using Spatiotemporal Active-Surface and Active-Contour Models.- Model-Based Esophagus Segmentation from CT Scans Using a Spatial Probability Map.- Automatic Segmentation and Components Classification of Optic Pathway Gliomas in MRI.- Spatial Decision Forests for MS Lesion Segmentation in Multi-Channel MR Images.- Segmentation Subject to Stitching Constraints: Finding Many Small Structures in a Large Image.- Image Reconstruction and Restoration.- Measurement Selection in Untracked Freehand 3D Ultrasound.- Efficient MR Image Reconstruction for Compressed MR Imaging.- 4D Computed Tomography Reconstruction from Few-Projection Data via Temporal Non-local Regularization.- ECG-Gated Interventional Cardiac Reconstruction for Non-periodic Motion.- Physiological Fusion of Functional and Structural Data for Cardiac Deformation Recovery.- Functional and Diffusion-Weighted MRI.- Adaptive Noise Filtering for Accurate and Precise Diffusion Estimation in Fiber Crossings.- A Sobolev Norm Based Distance Measure for HARDI Clustering.- MicroTrack: An Algorithm for Concurrent Projectome and Microstructure Estimation.- Joint Generative Model for fMRI/DWI and Its Application to Population Studies.- Detection of Brain Functional-Connectivity Difference in Post-stroke Patients Using Group-Level Covariance Modeling.- Modeling and Simulation.- Understanding the Optics to Aid Microscopy Image Segmentation.- Complete Valvular Heart Apparatus Model from 4D Cardiac CT.- Improving Deformable Surface Meshes through Omni-Directional Displacements and MRFs.- Multiplicative Jacobian Energy Decomposition Method for Fast Porous Visco-Hyperelastic Soft Tissue Model.- Fast Ultrasound Image Simulation Using the Westervelt Equation.- Instrument and Patient Localization and Tracking.- Accounting for Anisotropic Noise in Fine Registration of Time-of-Flight Range Data with High-Resolution Surface Data.- Self-encoded Marker for Optical Prospective Head Motion Correction in MRI.- Robust 3D Visual Tracking for Robotic-Assisted Cardiac Interventions.- Real-Time Stereo Reconstruction in Robotically Assisted Minimally Invasive Surgery.- Prostate Brachytherapy Seed Reconstruction Using C-Arm Rotation Measurement and Motion Compensation.- Quantitative Image Analysis.- Reconstructing Geometrically Consistent Tree Structures from Noisy Images.- Dual-Model Automatic Detection of Nerve-Fibres in Corneal Confocal Microscopy Images.- Characterizing the Regional Structural Difference of the Brain between Tau Transgenic (rTg4510) and Wild-Type Mice Using MRI.- Spatially Regularized SVM for the Detection of Brain Areas Associated with Stroke Outcome.- Sparse Unbiased Analysis of Anatomical Variance in Longitudinal Imaging.- Image Registration.- Intra-Patient Supine-Prone Colon Registration in CT Colonography Using Shape Spectrum.- A Parameterization of Deformation Fields for Diffeomorphic Image Registration and Its Application to Myocardial Delineation.- Multiple Cortical Surface Correspondence Using Pairwise Shape Similarity.- Cortical Sulcal Atlas Construction Using a Diffeomorphic Mapping Approach.- Non-rigid Registration with Missing Correspondences in Preoperative and Postresection Brain Images.- Computational and Interventional Cardiology.- System to Guide Transcatheter Aortic Valve Implantations Based on Interventional C-Arm CT Imaging.- Cardiac Anchoring in MRI through Context Modeling.- Real-Time Respiratory Motion Correction for Cardiac Electrophysiology Procedures Using Image-Based Coronary Sinus Catheter Tracking.- Accurate Segmentation of the Left Ventricle in Computed Tomography Images for Local Wall Thickness Assessment.- Regional Heart Motion Abnormality Detection via Information Measures and Unscented Kalman Filtering.- In vivo Human 3D Cardiac Fibre Architecture: Reconstruction Using Curvilinear Interpolation of Diffusion Tensor Images.- Physics-Based Modeling of Aortic Wall Motion from ECG-Gated 4D Computed Tomography.- Whole Heart Segmentation of Cardiac MRI Using Multiple Path Propagation Strategy.- Combined Model-Based Segmentation and Elastic Registration for Accurate Quantification of the Aortic Arch.- Conditional Shape Models for Cardiac Motion Estimation.- Cross-Modality Assessment and Planning for Pulmonary Trunk Treatment Using CT and MRI Imaging.- Automatic Cardiac MRI Segmentation Using a Biventricular Deformable Medial Model.- Automatic Aorta Segmentation and Valve Landmark Detection in C-Arm CT: Application to Aortic Valve Implantation.- Lesion-Specific Coronary Artery Calcium Quantification for Predicting Cardiac Event with Multiple Instance Support Vector Machines.- Joint Registration and Segmentation of Dynamic Cardiac Perfusion Images Using MRFs.- 3D Radio Frequency Ultrasound Cardiac Segmentation Using a Linear Predictor.- Automated Interventricular Septum Thickness Measurement from B-Mode Echocardiograms.- Probabilistic-Driven Oriented Speckle Reducing Anisotropic Diffusion with Application to Cardiac Ultrasonic Images.- Patient Specific Models for Planning and Guidance of Minimally Invasive Aortic Valve Implantation.- Diffusion Tensor MR Imaging and Analysis.- A Framework for Using Diffusion Weighted Imaging to Improve Cortical Parcellation.- Tract-Based Probability Densities of Diffusivity Measures in DT-MRI.- Inference of a HARDI Fiber Bundle Atlas Using a Two-Level Clustering Strategy.- DTI Based Diagnostic Prediction of a Disease via Pattern Classification.- Probabilistic Anatomical Connectivity Using Completion Fields.- Reconstruction of Scattered Data in Fetal Diffusion MRI.- Symmetric Positive-Definite Cartesian Tensor Orientation Distribution Functions (CT-ODF).- Model-Free and Analytical EAP Reconstruction via Spherical Polar Fourier Diffusion MRI.- Group-Wise Diffeomorphic Diffusion Tensor Image Registration.- Fast and Accurate Reconstruction of HARDI Data Using Compressed Sensing.- General and Efficient Super-Resolution Method for Multi-slice MRI.- In-Vivo Estimates of Axonal Characteristics Using Optimized Diffusion MRI Protocols for Single Fibre Orientation.- Diffusion-Based Population Statistics Using Tract Probability Maps.- Axon Diameter Mapping in the Presence of Orientation Dispersion with Diffusion MRI.- Model-Free, Regularized, Fast, and Robust Analytical Orientation Distribution Function Estimation.- Biomarkers for Identifying First-Episode Schizophrenia Patients Using Diffusion Weighted Imaging.- A Novel White Matter Fibre Tracking Algorithm Using Probabilistic Tractography and Average Curves.- Multi-Diffusion-Tensor Fitting via Spherical Deconvolution: A Unifying Framework.- Statistical Analysis of Tensor Fields.- Multivariate Varying Coefficient Models for DTI Tract Statistics.


Titel: Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2010
Untertitel: 13th International Conference, Beijing, China, September 20-24, 2010, Proceedings Part I
EAN: 9783642157042
ISBN: 3642157041
Format: Kartonierter Einband
Herausgeber: Springer-Verlag GmbH
Genre: Informatik
Anzahl Seiten: 707
Gewicht: 1059g
Größe: H239mm x B159mm x T30mm
Jahr: 2010
Untertitel: Englisch
Auflage: 2010

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