Imaging for Patient-Customized Simulations and Systems for Point-of-Care Ultrasound

Name: Imaging for Patient-Customized Simulations and Systems for Point-of-Care Ultrasound | International Workshops, BIVPCS 2017 and POCUS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings
Brand: Springer
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International Workshops, BIVPCS 2017 and POCUS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings

M. Jorge Cardoso Tal Arbel João Manuel R.S. Tavares Stephen Aylward Shuo Li Emad Boctor Gabor Fichtinger Kevin Cleary Bradley Freeman Luv Kohli Deborah Shipley Kane Matt Oetgen Sonja Pujol(Herausgeber*in)

Springer (Verlag)

Erschienen am 6. September 2017

XV, 164 Seiten

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978-3-319-67552-7 (ISBN)

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Inhalt

Intro
Workshop Editors
International Workshop on Bio-Imaging and Visualization for Patient-Customized Simulations, BIVPCS 2017
Organization
International Workshop on Point-of-Care Ultrasound, POCUS 2017
Organization
Contents
International Workshop on Bio-Imaging and Visualization for Patient-Customized Simulations, BIVPCS 2017
Cortical Envelope Modeling for Interactive Patient-Customized Curvilinear Reformatting in the Native Space
1 Introduction
2 Interactive Cortical Envelope Modeling
2.1 Suppressing Details
2.2 Cortical Envelope
3 Slicing Mesh Quality
4 Results and Discussion
5 Conclusion
References
Simulation of Patient-Specific Deformable Ultrasound Imaging in Real Time
1 Introduction
2 Methods
2.1 Development of a Partial Nephrectomy Phantom
2.2 Experimental Setup
2.3 Simulation Platform and Biomechanical Model
2.4 Ultrasound Simulation
2.5 Calibration
3 Results
4 Discussion and Conclusion
References
A Hybrid CNN Feature Model for Pulmonary Nodule Differentiation Task
1 Introduction
2 Method
2.1 Histograms of Oriented Gradients (HOG) and Local Binary Pattern (LBP) Descriptors
2.2 Hybrid CNN Network Model
3 Experiment
3.1 Dataset Preparation
3.2 Experiments Design and Analysis
4 Conclusion
References
A 3D Ultrasound Informed Model of the Human Gastrocnemius Muscle
Abstract
1 Introduction
2 Methods
2.1 Experiment
2.2 Finite Element Model
3 Results
4 Discussion
References
Atlas-Based 3D Intensity Volume Reconstruction of Musculoskeletal Structures in the Lower Extremity from 2D Calibrated X-Ray Images
1 Introduction
2 Materials and Methods
2.1 Atlas Preparation
2.2 The 2D-3D Reconstruction Pipeline
3 Experiments and Results
3.1 Experiment on CT Dataset of 11 Cadaveric Legs
3.2 Experiment on X-Ray Images from Patients
3.3 Experiment on Reconstructing Three Thigh Muscles
4 Discussion and Conclusion
References
Automatic Liver Lesion Segmentation in CT Combining Fully Convolutional Networks and Non-negative Matrix Factorization
1 Introduction
2 Method
2.1 Overview
2.2 FCN
2.3 Deformable Model
2.4 Algorithm Implementation
3 Experiments and Result
3.1 Dataset
3.2 Evaluation Criteria
3.3 Results and Analysis
4 Conclusion
References
Constructing Detailed Subject-Specific Models of the Human Masseter
1 Introduction
2 Methods
2.1 Data Collection
2.2 Finite Element Model Construction
2.3 Constitutive Laws
2.4 Simulation, Registration and Results
3 Conclusions
References
MRI-Based Heart and Torso Personalization for Computer Modeling and Simulation of Cardiac Electrophy ...
Abstract
1 Introduction
2 Methods
3 Results
4 Conclusion
Acknowledgments
References
Rapid Prediction of Personalised Muscle Mechanics: Integration with Diffusion Tensor Imaging
Abstract
1 Introduction
2 Methods
2.1 Geometry
2.2 Statistical Model Training
3 Results
4 Discussion
References
Approaches to Brain Tissue Quantification with Comparison on Supporting the Detection of Age-Related Dementia in MRI
Abstract
1 Introduction
2 Approaches
2.1 Level-Set Thresholding Segmentation with Sparse Model (LTSSM)
2.2 Segmentation with the K-Means Clustering (SKMC)
3 Implementation
3.1 The LTSSM Segmentation Results
3.2 The SKMC Segmentation Results
3.3 Comparison Results
4 Conclusion
References
Relating Atrial Appendage Flow Stasis Risk from Computational Fluid Dynamics to Imaging Based Appearance Paradigms for Cardioembolic Risk
Abstract
1 Introduction
2 Methods
2.1 Image Segmentation
2.2 Mesh Preparation
2.3 Global CFD Assumptions
2.4 Unsteady Flow Model
2.5 Steady Flow Model
3 Results and Discussion
4 Conclusion
References
Deformable Multi-material 2-Simplex Surface Mesh for Intraoperative MRI-Ready Surgery Planning and S ...
Abstract
1 Introduction
1.1 Background and Motivation
2 Methods
2.1 Initializing a Multi-material 2-Simplex Mesh
2.2 Description of Multi-material 2-Simplex Meshes
2.3 Overview of Deformable Multi-material 2-Simplex Meshes
3 Segmenting Structures of the Basal Ganglia
3.1 Segmentation of the Subthalamic Nucleus and Substantia Nigra
3.2 Segmentation of the Globus Pallidus and Striatum
4 Validation
5 Conclusion
References
International Workshop on Point-of-Care Ultrasound: Algorithms, Hardware, and Applications, POCUS 2017
Combining Automated Image Analysis with Obstetric Sweeps for Prenatal Ultrasound Imaging in Developing Countries
1 Introduction
2 Methods
2.1 Data
2.2 Fetal Head Detection
2.3 Estimation of Fetal Head Circumference
2.4 Automated Frame Separation
3 Results
4 Discussion
5 Conclusion
References
Automatic Estimation of the Optic Nerve Sheath Diameter from Ultrasound Images
1 Introduction
2 Algorithm
2.1 Algorithm Details
2.2 Interactive Graphical User Interface
3 Evaluation
3.1 Comparison to Manual Estimation
3.2 Gel Phantom Study
4 Conclusion
References
Achieving Fluid Detection by Exploiting Shadow Detection Methods
1 Introduction
2 Shadow and Fluid Detection
3 Results and Evaluation
4 Discussion
References
A Probe-Camera System for 3D Ultrasound Image Reconstruction
1 Introduction
2 US Probe-Camera System (UPCS)
3 US Probe-Camera Calibration
4 3D US Volume Reconstruction
4.1 Contrast Enhancement
4.2 Feature Point Tracking
4.3 Structure from Motion (SfM)
4.4 Coordinate Conversion
4.5 3D US Volume Reconstruction
5 Experiments and Discussion
6 Conclusion
References
Ultrasound Augmentation: Rapid 3-D Scanning for Tracking and On-Body Display
1 Motivation
2 Augmented Ultrasound
3 3D Scene Modeling
4 Object Tracking
5 Projecting onto the Scene
6 Conclusion
References
Overall Proficiency Assessment in Point-of-Care Ultrasound Interventions: The Stopwatch is not Enough
Abstract
1 Introduction
2 Methods
2.1 Primitive Metric Validity
2.2 Primitive Metric Redundancy
2.3 Assessment Using Non-redundant Primitive Metrics
2.4 Datasets
3 Results
3.1 Primitive Metric Validity
3.2 Primitive Metric Redundancy
3.3 Assessment Using Non-redundant Primitive Metrics
4 Discussion and Conclusion
References
A Novel Ultrasound Imaging Method for 2D Temperature Monitoring of Thermal Ablation
1 Introduction
2 Methods
2.1 Active Ultrasound Pattern Injection (PI)
2.2 Simulation-Based Learning Tool
3 Experiments and Results
3.1 In silico Validation
3.2 Sensitivity Analysis
3.3 Ex vivo Feasibility Study
4 Discussion and Conclusion
References
Erratum to: A Novel Ultrasound Imaging Method for 2D Temperature Monitoring of Thermal Ablation
Erratum to: Chapter "A Novel Ultrasound Imaging Method for 2D Temperature Monitoring of Thermal Ablation" in: M.J. Cardoso et al. (Eds.): Imaging for Patient-Customized Simulations and Systems for Point-of-Care Ultrasound, LNCS 10549, https://doi.org/10.1007/978-3-319-67552-7_19
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