Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation : International Workshops, POCUS 2018, BIVPCS 2018, CuRIOUS 2018, and CPM 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16–20, 2018, Proceed

This book constitutes the refereed joint proceedings of the International Workshop on Point-of-Care Ultrasound, POCUS 2018, the International Workshop on Bio-Imaging and Visualization for Patient-Customized Simulations, BIVPCS 2017, the International Workshop on Correction of Brainshift with Intra-Operative Ultrasound, CuRIOUS 2018, and the International Workshop on Computational Precision Medicine, CPM 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018. The 10 full papers presented at POCUS 2018, the 4 full papers presented at BIVPCS 2018, the 8 full papers presented at CuRIOUS 2018, and the 2 full papers presented at CPM 2018 were carefully reviewed and selected. The papers feature research from complementary fields such as ultrasound image systems applications as well as signal and image processing, mechanics, computational vision, mathematics, physics, informatics, computer graphics, bio-medical-practice, psychology and industry. They discuss intra-operative ultrasound-guided brain tumor resection as well as pancreatic cancer survival prediction. Additional Workshop Editors 6 POCUS 2018 Preface 8 BIVPCS 2018 Preface 9 CuRIOUS 2018 Preface 10 CPM 2018 Preface 11 Organization 13 Contents 14 International Workshop on Point-of-Care Ultrasound, POCUS 2018 17 Robust Photoacoustic Beamforming Using Dense Convolutional Neural Networks 18 1 Introduction 18 2 Methods 20 3 Experiments and Training 21 3.1 Experiments and Materials 21 3.2 Training and Validation 21 4 Evaluation and Results 22 4.1 Evaluation 22 4.2 Results 23 5 Discussion and Conclusion 24 References 25 A Training Tool for Ultrasound-Guided Central Line Insertion with Webcam-Based Position Tracking 27 Abstract 27 1 Introduction 27 1.1 Standard Procedure for Central Line Insertion 28 1.2 Training Challenges 28 2 Methods 29 2.1 Hardware 29 2.2 System Design 31 2.3 Calibration 31 2.4 Calibration Verification 32 3 Results 33 4 Discussion 34 4.1 Limitations of Methods 34 4.2 Potential Improvements 34 5 Conclusion 34 Acknowledgement 34 References 35 GLUENet: Ultrasound Elastography Using Convolutional Neural Network 36 1 Introduction 36 2 Methods 37 3 Results 38 3.1 Simulation Results 39 3.2 Experimental Phantom Results 39 3.3 Clinical Results 39 4 Conclusions 42 References 43 CUST: CNN for Ultrasound Thermal Image Reconstruction Using Sparse Time-of-Flight Information 44 1 Introduction 44 2 Methods 45 2.1 Thermal Ablation Procedure and Monitoring Setup 45 2.2 Thermal Image Reconstruction Using Neural Network 46 3 Ex-vivo Liver Ablation with Ultrasound Monitoring 48 3.1 Experiment Setup 48 3.2 Temperature Image Reconstruction 50 4 Discussion and Conclusion 50 References 51 Quality Assessment of Fetal Head Ultrasound Images Based on Faster R-CNN 53 Abstract 53 1 Introduction 53 2 Methodology 55 2.1 Shared Feature Map 55 2.2 Fast R-CNN Module 56 2.3 RPN Module 58 3 Experiments 58 3.1 Dataset 58 3.2 Results 59 4 Conclusion 60 Acknowledgement 60 References 61 Recent Advances in Point-of-Care Ultrasound Using the ImFusion Suite for Real-Time Image Analysis 62 1 Introduction 62 2 ImFusion SDK as Research Platform 63 3 3D POCUS Without External Tracking 64 4 Ultrasound Image Analysis 65 5 Speed-of-Sound Calibration 66 6 Acquisition Parameter Tuning 67 7 Conclusion 68 References 68 Markerless Inside-Out Tracking for 3D Ultrasound Compounding 71 1 Introduction 71 2 Methods 73 3 Experiments and Validation 74 3.1 Tracking Accuracy 76 3.2 Markerless Inside-Out 3D Ultrasound 77 4 Discussion and Conclusion 77 References 78 Ultrasound-Based Detection of Lung Abnormalities Using Single Shot Detection Convolutional Neural Networks 80 Abstract 80 1 Introduction 80 2 Approach 82 2.1 Animal Model, Data Collection and Annotation 82 2.2 Data Pre-processing 83 2.3 Single Shot CNN Model for Image-Based Lung Feature Detection 83 2.4 Inception V3 Architecture for Video-Based Lung Sliding Detection 84 3 Results 86 4 Conclusions and Future Work 86 References 87 Quantitative Echocardiography: Real-Time Quality Estimation and View Classification Implemented on a Mobile Android Device 89 1 Introduction 89 2 System Design 91 2.1 Deep Learning Design 91 2.2 Split Model 92 2.3 Software Architecture 93 3 Results 94 3.1 Classification 94 3.2 Timing 94 4 Discussion 96 References 96 Single-Element Needle-Based Ultrasound Imaging of the Spine: An In Vivo Feasibility Study 97 1 Introduction 97 2 Materials and Methods 98 2.1 Needle-Based Ultrasound Imaging and Synthetic Aperture Focusing 98 2.2 Experiment Setup 98 3 Results 99 3.1 Phantom Study 99 3.2 Ex Vivo Demonstration 100 3.3 In Vivo Demonstration 100 4 Discussion and Conclusion 103 References 103 International Workshop on Bio-Imaging and Visualization for Patient-Customized Simulations, BIVPCS 2018 105 A Novel Interventional Guidance Framework for Transseptal Puncture in Left Atrial Interventions 106 Abstract 106 1 Introduction 107 2 Methods 108 2.1 Interventional Framework 108 3 Experiments 109 4 Results 110 5 Discussion 111 6 Conclusion 112 Acknowledgments 112 References 113 Holographic Visualisation and Interaction of Fused CT, PET and MRI Volumetric Medical Imaging Data Using Dedicated Remote GPGPU Ray Casting 115 1 Introduction 116 2 Method and Technical Concepts 118 3 Results 120 4 Conclusion and Perspective 121 5 Compliance with Ethical Standards 122 References 122 Mr. Silva and Patient Zero: A Medical Social Network and Data Visualization Information System 124 Abstract 124 1 Introduction 124 2 Ideal Information System 126 3 Medical Social Networks: The General State of Affairs 127 4 Conclusions and Future Perspectives 129 Acknowledgments 129 References 130 Fully Convolutional Network-Based Eyeball Segmentation from Sparse Annotation for Eye Surgery Simulation Model 131 1 Introduction 131 2 Methods 133 2.1 Network Architecture 133 2.2 Training Strategy 135 3 Experiments and Results 135 3.1 Experimental Setup 135 3.2 Experimental Results 136 4 Discussion 137 5 Conclusion 138 References 139 International Workshop on Correction of Brainshift with Intra-Operative Ultrasound, CuRIOUS 2018 140 Resolve Intraoperative Brain Shift as Imitation Game 141 1 Introduction 141 2 Imitation Game 142 2.1 Observation Encoding 143 2.2 Demonstrator 143 2.3 Data Augmentation 144 2.4 Imitation Network 144 3 Evaluation 145 4 Discussion 147 5 Conclusion 147 References 148 Non-linear Approach for MRI to intra-operative US Registration Using Structural Skeleton 150 Abstract 150 1 Introduction 150 2 Materials and Methods 151 2.1 Dataset 151 2.2 MRI Pre-processing 152 2.3 iUS Pre-processing 152 2.4 Structural Skeleton 152 2.5 Registration Using Deformation Fields 153 2.6 Mean Target Registration Error 153 3 Results 153 3.1 Crop and Resampling 153 3.2 Estimated Skeleton 153 3.3 Skeleton Registration Using Displacement Fields 153 3.4 Image Registration Using Estimated Fields 155 3.5 Landmark Evaluation 155 References 157 Brain-Shift Correction with Image-Based Registration and Landmark Accuracy Evaluation 158 1 Introduction 158 2 Method 159 3 Evaluation 159 4 Conclusion 162 References 163 Deformable MRI-Ultrasound Registration Using 3D Convolutional Neural Network 164 1 Introduction 164 2 Related Work 165 2.1 Intensity-Based Approaches for Registration 165 2.2 Learning-Based Approaches for Registration 166 2.3 Spatial Transformer Network (STN) 166 3 Methodology 166 3.1 Problem Statement 166 3.2 Registration Framework 167 3.3 Similarity Metric 168 4 Experiments 168 4.1 Dataset 168 4.2 Preprocessing 169 4.3 Result 169 4.4 Implementation Details 169 5 Conclusion 169 References 170 Intra-operative Ultrasound to MRI Fusion with a Public Multimodal Discrete Registration Tool 171 1 Introduction and Related Work 171 2 Method 172 3 Implementation 172 4 Results and Discussion 173 5 Conclusion and Outlook 175 References 176 Deformable MRI-Ultrasound Registration via Attribute Matching and Mutual-Saliency Weighting for Image-Guided Neurosurgery 177 Abstract 177 1 Introduction 178 2 Methods 178 2.1 Problem Formulation 178 2.2 Attribute Matching 179 2.3 Mutual-Saliency Map to Modulate Registration 180 2.4 Deformation Model and Optimization Strategy 181 3 Results 181 4 Conclusions 182 References 183 Registration of MRI and iUS Data to Compensate Brain Shift Using a Symmetric Block-Matching Based Approach 184 1 Introduction 184 2 Methods 184 2.1 Block-Matching Based Global Registration 185 2.2 Symmetric Registration Extension 186 2.3 Experiments 186 3 Results 187 4 Discussion 189 References 189 Intra-operative Brain Shift Correction with Weighted Locally Linear Correlations of 3DUS and MRI 191 1 Introduction 191 2 Brain Shift Compensation Method 192 3 Results 194 4 Conclusion 195 References 196 International Workshop on Computational Precision Medicine, CPM 2018 197 Survival Modeling of Pancreatic Cancer with Radiology Using Convolutional Neural Networks 198 1 Introduction 198 2 Methods 199 2.1 Survival Modeling 199 2.2 Network Architecture and Optimization 200 2.3 Experiment 200 3 Results and Discussion 202 4 Conclusion 203 References 203 Pancreatic Cancer Survival Prediction Using CT Scans and Clinical Variables 204 1 Introduction 204 2 Method 205 2.1 Image Acquisition 205 2.2 Data Processing 205 2.3 Image Analysis 206 2.4 Shape Features 208 2.5 Texture Features 209 2.6 Survival Analysis 209 3 Result 210 4 Discussion 211 References 212 Author Index 213 Front Matter ....Pages I-XIX Front Matter ....Pages 1-1 Robust Photoacoustic Beamforming Using Dense Convolutional Neural Networks (Emran Mohammad Abu Anas, Haichong K. Zhang, Chloé Audigier, Emad M. Boctor)....Pages 3-11 A Training Tool for Ultrasound-Guided Central Line Insertion with Webcam-Based Position Tracking (Mark Asselin, Tamas Ungi, Andras Lasso, Gabor Fichtinger)....Pages 12-20 GLUENet: Ultrasound Elastography Using Convolutional Neural Network (Md. Golam Kibria, Hassan Rivaz)....Pages 21-28 CUST: CNN for Ultrasound Thermal Image Reconstruction Using Sparse Time-of-Flight Information (Younsu Kim, Chloé Audigier, Emran M. A. Anas, Jens Ziegle, Michael Friebe, Emad M. Boctor)....Pages 29-37 Quality Assessment of Fetal Head Ultrasound Images Based on Faster R-CNN (Zehui Lin, Minh Hung Le, Dong Ni, Siping Chen, Shengli Li, Tianfu Wang et al.)....Pages 38-46 Recent Advances in Point-of-Care Ultrasound Using the \({\textit{ImFusion Suite}}\) for Real-Time Image Analysis (Oliver Zettinig, Mehrdad Salehi, Raphael Prevost, Wolfgang Wein)....Pages 47-55 Markerless Inside-Out Tracking for 3D Ultrasound Compounding (Benjamin Busam, Patrick Ruhkamp, Salvatore Virga, Beatrice Lentes, Julia Rackerseder, Nassir Navab et al.)....Pages 56-64 Ultrasound-Based Detection of Lung Abnormalities Using Single Shot Detection Convolutional Neural Networks (Sourabh Kulhare, Xinliang Zheng, Courosh Mehanian, Cynthia Gregory, Meihua Zhu, Kenton Gregory et al.)....Pages 65-73 Quantitative Echocardiography: Real-Time Quality Estimation and View Classification Implemented on a Mobile Android Device (Nathan Van Woudenberg, Zhibin Liao, Amir H. Abdi, Hani Girgis, Christina Luong, Hooman Vaseli et al.)....Pages 74-81 Single-Element Needle-Based Ultrasound Imaging of the Spine: An In Vivo Feasibility Study (Haichong K. Zhang, Younsu Kim, Abhay Moghekar, Nicholas J. Durr, Emad M. Boctor)....Pages 82-89 Front Matter ....Pages 91-91 A Novel Interventional Guidance Framework for Transseptal Puncture in Left Atrial Interventions (Pedro Morais, João L. Vilaça, Sandro Queirós, Pedro L. Rodrigues, João Manuel R. S. Tavares, Jan D’hooge)....Pages 93-101 Holographic Visualisation and Interaction of Fused CT, PET and MRI Volumetric Medical Imaging Data Using Dedicated Remote GPGPU Ray Casting (Magali Fröhlich, Christophe Bolinhas, Adrien Depeursinge, Antoine Widmer, Nicolas Chevrey, Patric Hagmann et al.)....Pages 102-110 Mr. Silva and Patient Zero: A Medical Social Network and Data Visualization Information System (Patrícia C. T. Gonçalves, Ana S. Moura, M. Natália D. S. Cordeiro, Pedro Campos)....Pages 111-117 Fully Convolutional Network-Based Eyeball Segmentation from Sparse Annotation for Eye Surgery Simulation Model (Takaaki Sugino, Holger R. Roth, Masahiro Oda, Kensaku Mori)....Pages 118-126 Front Matter ....Pages 127-127 Resolve Intraoperative Brain Shift as Imitation Game (Xia Zhong, Siming Bayer, Nishant Ravikumar, Norbert Strobel, Annette Birkhold, Markus Kowarschik et al.)....Pages 129-137 Non-linear Approach for MRI to intra-operative US Registration Using Structural Skeleton (Jisu Hong, Hyunjin Park)....Pages 138-145 Brain-Shift Correction with Image-Based Registration and Landmark Accuracy Evaluation (Wolfgang Wein)....Pages 146-151 Deformable MRI-Ultrasound Registration Using 3D Convolutional Neural Network (Li Sun, Songtao Zhang)....Pages 152-158 Intra-operative Ultrasound to MRI Fusion with a Public Multimodal Discrete Registration Tool (Mattias P. Heinrich)....Pages 159-164 Deformable MRI-Ultrasound Registration via Attribute Matching and Mutual-Saliency Weighting for Image-Guided Neurosurgery (Inês Machado, Matthew Toews, Jie Luo, Prashin Unadkat, Walid Essayed, Elizabeth George et al.)....Pages 165-171 Registration of MRI and iUS Data to Compensate Brain Shift Using a Symmetric Block-Matching Based Approach (David Drobny, Tom Vercauteren, Sébastien Ourselin, Marc Modat)....Pages 172-178 Intra-operative Brain Shift Correction with Weighted Locally Linear Correlations of 3DUS and MRI (Roozbeh Shams, Marc-Antoine Boucher, Samuel Kadoury)....Pages 179-184 Front Matter ....Pages 185-185 Survival Modeling of Pancreatic Cancer with Radiology Using Convolutional Neural Networks (Hassan Muhammad, Ida Häggström, David S. Klimstra, Thomas J. Fuchs)....Pages 187-192 Pancreatic Cancer Survival Prediction Using CT Scans and Clinical Variables (Li Sun, Songtao Zhang)....Pages 193-201 Back Matter ....Pages 203-204