2. Adventsüberraschung: 10% Rabatt auf alle Spiele! Jetzt mehr erfahren.
Willkommen, schön sind Sie da!
Logo Ex Libris

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

  • E-Book (pdf)
  • 686 Seiten
(0) Erste Bewertung abgeben
Bewertungen
(0)
(0)
(0)
(0)
(0)
Alle Bewertungen ansehen
The13thInternationalConferenceonMedicalImageComputingandComputer- Assisted Intervention, MICCAI 2010, was held in Beijing, China ... Weiterlesen
CHF 153.50
Download steht sofort bereit
Informationen zu E-Books
E-Books eignen sich auch für mobile Geräte (sehen Sie dazu die Anleitungen).
E-Books von Ex Libris sind mit Adobe DRM kopiergeschützt: Erfahren Sie mehr.
Weitere Informationen finden Sie hier.
Bestellung & Lieferung in eine Filiale möglich

Beschreibung

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.



Inhalt

Segmentation and Modeling.- Combining Morphological Information in a Manifold Learning Framework: Application to Neonatal MRI.- Fast Random Walker with Priors Using Precomputation for Interactive Medical Image Segmentation.- Extraction of the Plane of Minimal Cross-Sectional Area of the Corpus Callosum Using Template-Driven Segmentation.- Incorporating Priors on Expert Performance Parameters for Segmentation Validation and Label Fusion: A Maximum a Posteriori STAPLE.- Automated Segmentation of 3-D Spectral OCT Retinal Blood Vessels by Neural Canal Opening False Positive Suppression.- Detection of Gad-Enhancing Lesions in Multiple Sclerosis Using Conditional Random Fields.- Automated Sulci Identification via Intrinsic Modeling of Cortical Anatomy.- In Vivo MRI Assessment of Knee Cartilage in the Medial Meniscal Tear Model of Osteoarthritis in Rats.- Construction of Neuroanatomical Shape Complex Atlas from 3D Brain MRI.- Non-parametric Iterative Model Constraint Graph min-cut for Automatic Kidney Segmentation.- Synthetic MRI Signal Standardization: Application to Multi-atlas Analysis.- Multi-organ Segmentation from Multi-phase Abdominal CT via 4D Graphs Using Enhancement, Shape and Location Optimization.- A Semi-automatic Method for Segmentation of the Carotid Bifurcation and Bifurcation Angle Quantification on Black Blood MRA.- Standing on the Shoulders of Giants: Improving Medical Image Segmentation via Bias Correction.- Layout Consistent Segmentation of 3-D Meshes via Conditional Random Fields and Spatial Ordering Constraints.- Cross-Visit Tumor Sub-segmentation and Registration with Outlier Rejection for Dynamic Contrast-Enhanced MRI Time Series Data.- Nonlocal Patch-Based Label Fusion for Hippocampus Segmentation.- Cellular Automata Segmentation of Brain Tumors on Post Contrast MR Images.- Agreement-Based Semi-supervised Learning for Skull Stripping.- Construction of Patient Specific Atlases from Locally Most Similar Anatomical Pieces.- Automatic Lung Lobe Segmentation Using Particles, Thin Plate Splines, and Maximum a Posteriori Estimation.- Graph Search with Appearance and Shape Information for 3-D Prostate and Bladder Segmentation.- Segmentation of Cortical MS Lesions on MRI Using Automated Laminar Profile Shape Analysis.- 3D Knowledge-Based Segmentation Using Pose-Invariant Higher-Order Graphs.- Markov Random Field driven Region-Based Active Contour Model (MaRACel): Application to Medical Image Segmentation.- Robotics, Motion Modeling and Computer-Assisted Interventions.- Predicting Target Vessel Location for Improved Planning of Robot-Assisted CABG Procedures.- Quantification of Prostate Deformation due to Needle Insertion during TRUS-guided Biopsy.- Optimized Anisotropic Rotational Invariant Diffusion Scheme on Cone-Beam CT.- Control of Articulated Snake Robot under Dynamic Active Constraints.- Estimating Radiation Exposure in Interventional Environments.- Force Adaptive Multi-spectral Imaging with an Articulated Robotic Endoscope.- Motion Tracking in Narrow Spaces: A Structured Light Approach.- Tracking of Irregular Graphical Structures for Tissue Deformation Recovery in Minimally Invasive Surgery.- Graph Based Interactive Detection of Curve Structures in 2D Fluoroscopy.- Automated Digital Dental Articulation.- Image-Based Respiratory Motion Compensation for Fluoroscopic Coronary Roadmapping.- Surgical Task and Skill Classification from Eye Tracking and Tool Motion in Minimally Invasive Surgery.- Micro-force Sensing in Robot Assisted Membrane Peeling for Vitreoretinal Surgery.- C-arm Pose Estimation in Prostate Brachytherapy by Registration to Ultrasound.- Cognitive Burden Estimation for Visuomotor Learning with fNIRS.- Prediction Framework for Statistical Respiratory Motion Modeling.- Image Estimation from Marker Locations for Dose Calculation in Prostate Radiation Therapy.- A Machine Learning Approach for Deformable Guide-Wire Tracking in Fluoroscopic Sequences.- Collaborative Tracking for MRI-Guided Robotic Intervention on the Beating Heart.- Calibration and Use of Intraoperative Cone-Beam Computed Tomography: An In-Vitro Study for Wrist Fracture.- A Strain Energy Filter for 3D Vessel Enhancement.- Virtual Stent Grafting in Personalized Surgical Planning for Treatment of Aortic Aneurysms Using Image-Based Computational Fluid Dynamics.- MRI-Guided Robotic Prostate Biopsy: A Clinical Accuracy Validation.- Online 4-D CT Estimation for Patient-Specific Respiratory Motion Based on Real-Time Breathing Signals.- Modeling and Segmentation of Surgical Workflow from Laparoscopic Video.- Fused Video and Ultrasound Images for Minimally Invasive Partial Nephrectomy: A Phantom Study.- Probabilistic 4D Blood Flow Mapping.- Rotational Encoding of C-arm Fluoroscope with Tilt Sensing Accelerometer.- Robotic Hand-Held Surgical Device: Evaluation of End-Effector's Kinematics and Development of Proof-of-Concept Prototypes.- Guide-Wire Extraction through Perceptual Organization of Local Segments in Fluoroscopic Images.- Single-Projection Based Volumetric Image Reconstruction and 3D Tumor Localization in Real Time for Lung Cancer Radiotherapy.- A Method for Planning Safe Trajectories in Image-Guided Keyhole Neurosurgery.- Adaptive Multispectral Illumination for Retinal Microsurgery.- Motion Artifact Correction of Multi-Photon Imaging of Awake Mice Models Using Speed Embedded HMM.- Image Reconstruction, Enhancement and Representation.- Diagnostic Radiograph Based 3D Bone Reconstruction Framework: Application to Osteotomy Surgical Planning.- Comparative Analysis of Quasi-Conformal Deformations in Shape Space.- Establishing Spatial Correspondence between the Inner Colon Surfaces from Prone and Supine CT Colonography.- Heat Kernel Smoothing Using Laplace-Beltrami Eigenfunctions.- Under-Determined Non-cartesian MR Reconstruction with Non-convex Sparsity Promoting Analysis Prior.- A Statistical Approach for Achievable Dose Querying in IMRT Planning.- Multivariate Statistical Analysis of Deformation Momenta Relating Anatomical Shape to Neuropsychological Measures.- Shape Analysis of Vestibular Systems in Adolescent Idiopathic Scoliosis Using Geodesic Spectra.- Value-Based Noise Reduction for Low-Dose Dual-Energy Computed Tomography.- Automatic Detection of Anatomical Features on 3D Ear Impressions for Canonical Representation.- Probabilistic Multi-Shape Representation Using an Isometric Log-Ratio Mapping.- Efficient Robust Reconstruction of Dynamic PET Activity Maps with Radioisotope Decay Constraints.- Nonlinear Embedding towards Articulated Spine Shape Inference Using Higher-Order MRFs.- Improved Method for Point-Based Tracking.- Computer Aided Diagnosis.- A Texton-Based Approach for the Classification of Lung Parenchyma in CT Images.- Active Learning for an Efficient Training Strategy of Computer-Aided Diagnosis Systems: Application to Diabetic Retinopathy Screening.- Sparse Bayesian Learning for Identifying Imaging Biomarkers in AD Prediction.- Computer-Aided Detection of Pulmonary Pathology in Pediatric Chest Radiographs.- Toward Precise Pulmonary Nodule Descriptors for Nodule Type Classification.- Morphology-Guided Graph Search for Untangling Objects: C. elegans Analysis.- Automatic Cephalometric Evaluation of Patients Suffering from Sleep-Disordered Breathing.- Fusion of Local and Global Detection Systems to Detect Tuberculosis in Chest Radiographs.- Novel Morphometric Based Classification via Diffeomorphic Based Shape Representation Using Manifold Learning.- Semi Supervised Multi Kernel (SeSMiK) Graph Embedding: Identifying Aggressive Prostate Cancer via Magnetic Resonance Imaging and Spectroscopy.

Produktinformationen

Titel: Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2010
Untertitel: 13th International Conference, Beijing, China, September 20-24, 2010, Proceedings, Part III
Editor:
EAN: 9783642157110
Format: E-Book (pdf)
Hersteller: Springer Berlin Heidelberg
Genre: Anwendungs-Software
Veröffentlichung: 21.09.2010
Digitaler Kopierschutz: Wasserzeichen
Dateigrösse: 23.87 MB
Anzahl Seiten: 686

Weitere Bände aus der Buchreihe "Lecture Notes in Computer Science"