11230nam 2200649 450 991054487300332120240228112800.09783030877798(electronic bk.)9783030877781(MiAaPQ)EBC6887011(Au-PeEL)EBL6887011(CKB)21167561100041(PPN)260825824(EXLCZ)992116756110004120220929d2022 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierBiomedical visualisationVolume 11 /Paul Rea, editorCham, Switzerland :Springer,[2022]©20221 online resource (350 pages)Advances in experimental medicine and biology ;Volume 1356Print version: Rea, Paul M. Biomedical Visualisation Cham : Springer International Publishing AG,c2022 9783030877781 Includes bibliographical references.Intro -- Preface -- Acknowledgements -- About the Book -- Contents -- Editor and Contributors -- 1: Creating Interactive Three-Dimensional Applications to Visualise Novel Stent Grafts That Aid in the Treatment of Aortic Ane... -- 1.1 Introduction -- 1.2 Background -- 1.2.1 Aortic Aneurysm Background -- 1.2.1.1 Thoracic Aortic Aneurysms -- 1.2.1.2 Abdominal Aortic Aneurysms -- 1.2.2 Surgical Interventions for AAAs and TAAs -- 1.2.2.1 Open Surgical Repair and Endovascular Aneurysm Repair of AAAs -- 1.2.2.2 Open Surgical Repair and Endovascular Aneurysm Repair of TAAs -- 1.2.3 Potential of Medical Visualisations for Surgical Techniques -- 1.2.3.1 Imaging Modalities in a Healthcare Setting -- 1.2.3.2 Public Engagement for Medical Visualisation -- 1.3 Methods -- 1.3.1 Conceptual Development (Storyboard/Outline) -- 1.3.2 Digital 3D Content Production -- 1.3.2.1 Segmentation of the Aorta, Kidneys and Associated Vessels -- 1.3.2.2 Bifrost Visual Programming -- 1.3.2.2.1 Voxel Volume Remeshing Using Bifrost Graph Editor -- 1.3.2.3 Retopology and Sculpting -- 1.3.2.4 Modelling of the Heart -- 1.3.2.5 Modelling of Relay Endograft -- 1.3.2.6 Modelling of Fenestrated Anaconda Endograft -- 1.3.2.6.1 Wires and Stitching of Stent Graft -- 1.3.2.6.2 Stitches and Fine Details of Graft -- 1.3.2.6.3 Additional Stent Body Models -- 1.3.2.6.4 Deployment Devices -- 1.3.2.7 Texturing in Substance Painter -- 1.3.2.8 Informational Animations -- 1.3.2.8.1 Animations for the Fenestrated Anaconda Stent Graft -- 1.3.2.8.2 Animations for the Proximal Relay Stent Graft -- 1.3.2.8.3 Red Blood Cell Flow Animations -- 1.3.2.8.4 Post Processing -- 1.3.2.9 Application Development -- 1.3.2.9.1 Home Screen -- 1.3.2.9.2 Features Section -- 1.3.2.9.3 Clinical Performance and Deployment Sections -- 1.4 Results.1.4.1 Outcomes from Evaluating the Finished Application with Clinical Professionals -- 1.5 Discussion -- 1.5.1 Discussion of Development Process -- 1.5.2 Discussion of Application Feedback -- 1.5.3 Benefits and Drawbacks of the Application/3D Visualisation Technique -- 1.5.4 Limitations -- 1.5.5 Further Development -- 1.6 Conclusion -- References -- 2: Using Confocal Microscopy to Generate an Accurate Vascular Model for Use in Patient Education Animation -- 2.1 Introduction -- 2.2 Blood Pressure -- 2.3 Blood Pressure Regulation -- 2.4 Pathophysiology of Hypertension -- 2.5 Peripheral Resistance Artery Structure and Vascular Remodelling in Hypertension -- 2.6 Treatment of Hypertension -- 2.7 Medication Adherence -- 2.8 Patient Education Can Improve Medication Adherence -- 2.9 Generating Digital 3D Models Using Confocal Microscopy -- 2.10 Building a Complete Vessel 3D Model from a Partial Confocal Microscopy Dataset -- 2.11 Modelling the Tunica Intima -- 2.12 Tunica Media -- 2.13 Tunica Externa -- 2.14 Simple Effects in Animation -- 2.15 Vascular Wall Remodelling Using Blend Shapes -- 2.16 Maya´s MASH Toolkit -- 2.17 Materials (Shaders) -- 2.18 Lighting -- 2.19 Rendering -- 2.20 Results -- 2.21 Discussion and Evaluation -- References -- 3: Methods and Applications of 3D Patient-Specific Virtual Reconstructions in Surgery -- 3.1 Introduction -- 3.2 Methods of 3D Virtual Reconstructions -- 3.2.1 Segmentation -- 3.2.1.1 Manual Segmentation -- 3.2.1.2 Algorithmic Approaches to Segmentation -- 3.2.2 Rendering Methods for 3D Virtual Models -- 3.2.2.1 Volumetric Rendering -- 3.2.2.2 Surface Rendering Techniques -- 3.2.3 Post-Processing of Surface Polygon Mesh -- 3.2.3.1 Decimation -- 3.2.3.2 Smoothing -- 3.2.4 Advanced 3D Modelling Techniques -- 3.2.4.1 Complex 3D Modelling and Digital Sculpture -- 3.2.4.2 Retopology -- 3.2.4.3 UV Unwrapping.3.2.4.4 Texture Maps and Physically Based Rendering -- 3.3 Applications of 3D Models in Surgical Practice -- 3.3.1 3D Models in Surgical Planning -- 3.3.1.1 Anatomical Understanding -- 3.3.1.2 Patient-Specific Simulation -- 3.3.1.3 Resection Planning -- 3.3.1.4 Reconstruction -- 3.3.2 Intraoperative Navigation -- 3.3.3 3D Models in Surgical Patient Education -- 3.4 Conclusion -- References -- 4: Proof of Concept for the Use of Immersive Virtual Reality in Upper Limb Rehabilitation of Multiple Sclerosis Patients -- 4.1 Rationale -- 4.2 Multiple Sclerosis and Conventional Physiotherapy -- 4.3 Virtual Reality-Based Rehabilitation -- 4.3.1 Interaction -- 4.3.2 Visualisation -- 4.3.3 HMDs in MS Rehabilitation -- 4.4 Treatment Adherence and Motivation -- 4.4.1 Feedback -- 4.5 Aims and Objectives -- 4.6 Methods -- 4.6.1 Workflow (Fig. 4.1) -- 4.6.1.1 Materials -- 4.6.2 Design and Development Process -- 4.7 Developmental Outcomes -- 4.7.1 Menu Scene -- 4.7.2 Piano Scene -- 4.7.3 Maze Scene -- 4.7.4 Evaluation -- 4.7.4.1 Participants -- 4.7.4.2 Experimental Set-Up and Procedure -- 4.7.4.3 Ethics -- 4.7.4.4 Data Analysis -- 4.8 Results -- 4.9 Discussion -- 4.9.1 Future Works -- 4.10 Conclusion -- References -- 5: Virtual Wards: A Rapid Adaptation to Clinical Attachments in MBChB During the COVID-19 Pandemic -- 5.1 Introduction -- 5.2 Theoretical Underpinnings -- 5.2.1 Dual-Process Theory -- 5.2.2 Script Theory -- 5.2.3 Cognitive Load Theory -- 5.2.4 Situated Cognition -- 5.3 Technological Considerations -- 5.3.1 Flexibility of Content -- 5.3.2 Inclusion of Automatically Marked Questions -- 5.3.3 Control over Non-linear Lesson Flow -- 5.3.4 Large Amount of Information in a Single Click -- 5.3.5 Embedding H5G Interactive Content -- 5.3.6 Tips for Virtual Ward Developers -- 5.4 Description of the Virtual Wards -- 5.4.1 The Content Covered by the Virtual Wards.5.4.2 The Format of the Modules -- 5.4.3 The Interactive Cases -- 5.4.3.1 Setting the Scene -- 5.4.3.2 Interactive History-Taking -- 5.4.3.3 Observations and Examination -- 5.4.3.4 Investigations: Selection and Interpretation -- 5.4.3.5 Refining the Differential -- 5.4.3.6 Management -- 5.5 Evaluation and Future -- 5.5.1 Asynchronous Engagement with Virtual Wards -- 5.5.2 Issues Working with Multiple New Technologies -- 5.5.3 Clinician Time Involved to Create Content -- 5.5.4 Simultaneous Virtual Wards -- 5.5.5 Quality Control of Benevolent Contributor Content -- 5.5.6 A Reflection on the Faculty Experience -- 5.5.7 The Students´ Perspective -- 5.5.7.1 The Virtual Ward Format -- 5.5.7.2 Feedback on Content -- 5.5.7.3 Amount of Content -- 5.5.7.4 Technical Difficulties -- 5.5.7.5 Loss of Clinical Contact -- 5.5.8 Lessons Learnt -- 5.6 Tips for Setting Up Virtual Wards -- 5.7 The Future of Virtual Wards -- References -- 6: Artificial Intelligence: Innovation to Assist in the Identification of Sono-anatomy for Ultrasound-Guided Regional Anaesthe... -- 6.1 Introduction -- 6.2 Part 1: Challenges in Ultrasound Image Interpretation and Ultrasound-Guided Regional Anaesthesia -- 6.2.1 What Is Ultrasound-Guided Regional Anaesthesia? -- 6.2.2 Why Is Regional Anaesthesia Difficult? -- 6.2.2.1 Selection of the Right Block -- 6.2.2.2 Acquiring and Interpreting an Optimised Ultrasound Image -- 6.2.2.2.1 Operator Dependence -- 6.2.2.2.2 Anatomical Variation -- 6.2.2.2.3 Learning Materials Depict Ideal Versions of Sono-anatomy -- 6.2.2.2.4 Comorbidity -- 6.2.2.2.5 Inattentional Blindness -- 6.2.2.2.6 Satisfaction of Search -- 6.2.2.2.7 Fatigability -- 6.2.2.3 Planning a Safe Needle Path and Visualising the Needle Tip -- 6.2.2.4 Ensuring Accurate Deposition of Local Anaesthetic Around the Target Structure.6.2.2.5 Post-Procedure Monitoring Both to Ensure Effect and to Monitor for any Complications -- 6.2.3 Education in Ultrasound-Guided Regional Anaesthesia -- 6.3 Part 2: An Introduction to Artificial Intelligence for Clinicians -- 6.3.1 What Is Artificial Intelligence? -- 6.3.2 Machine Learning Categories -- 6.3.3 The Computational Problem -- 6.3.4 Rule-Based vs Model-Based Techniques -- 6.3.4.1 Rule-Based Techniques -- 6.3.4.2 Model-Based Techniques -- 6.3.5 Convolutional Neural Networks -- 6.3.6 The U-Net Architecture -- 6.3.7 How Models Train -- 6.3.8 Model Evaluation -- 6.4 Part 3: The Current State of AI in Ultrasound Image Interpretation for Ultrasound-Guided Regional Anaesthesia -- 6.4.1 How Can Technology Be Used to Augment UGRA? -- 6.4.2 Summary of Different Approaches -- 6.4.3 Segmentation -- 6.4.3.1 Deep Learning Approaches -- 6.4.3.2 Non-deep Learning Approaches -- 6.4.4 Tracking Methods -- 6.4.4.1 How Does Tracking Fit in with Segmentation? -- 6.4.4.2 Approaches -- 6.4.5 Summary and Future Directions -- 6.5 Part 4: A Case Study: ScanNav Anatomy Peripheral Nerve Block -- 6.6 Part 5: The Future: Artificial Intelligence and Ultrasound-Guided Regional Anaesthesia -- 6.6.1 Supporting Practice -- 6.6.2 Changing How We Learn -- 6.6.3 The Extra Dimension -- 6.6.4 The Future of Clinical Practice -- References -- 7: A Systematic Review of Randomised Control Trials Evaluating the Efficacy and Safety of Open and Endoscopic Carpal Tunnel Re... -- 7.1 Introduction -- 7.1.1 Carpal Tunnel Syndrome -- 7.1.2 The Surgical Interventions -- 7.1.3 Aims and Objectives -- 7.2 Methods -- 7.2.1 Study Identification -- 7.2.2 Study Screening and Selection -- 7.2.3 Assessment of Patient Outcomes -- 7.2.4 Risk of Bias Assessment -- 7.2.5 Data Analysis -- 7.3 Results -- 7.3.1 Study Identification, Screening and Inclusion -- 7.3.2 Study Characteristics.7.3.3 Patient Outcomes.Advances in experimental medicine and biology ;Volume 1356.Biomedical engineeringBiotechnologyComputer visionEnginyeria biomèdicathubImatges mèdiquesthubVisualització tridimensionalthubBiotecnologiathubLlibres electrònicsthubBiomedical engineering.Biotechnology.Computer vision.Enginyeria biomèdicaImatges mèdiquesVisualització tridimensionalBiotecnologia610.28Rea Paul(Paul M.),MiAaPQMiAaPQMiAaPQ9910544873003321Biomedical Visualisation3089395UNINA04753nam 22007335 450 991035031830332120200704141651.0981-13-0722-910.1007/978-981-13-0722-5(CKB)4100000004822070(DE-He213)978-981-13-0722-5(MiAaPQ)EBC5403423(PPN)227404246(EXLCZ)99410000000482207020180525d2019 u| 0engur|n#||||||||txtrdacontentstirdacontentcrdamediacrrdacarrierControlling Differential Settlement of Highway Soft Soil Subgrade A New Method and Its Engineering Applications /by Hanhua Zhu, Zhijun Wu, Mengchong Chen, Yongli Zhao1st ed. 2019.Singapore :Springer Singapore :Imprint: Springer,2019.1 online resource (XI, 106 pages, 63 illustrations)SpringerBriefs in Applied Sciences and Technology,2191-530XIncludes index981-13-0721-0 Analysis of Differential Settlement of Highway Soft Soil Subgrade -- Overview of Highway Soft Soil Subgrade Differential Settlement Treatment Method (Including Bridgehead Bumping) -- Enlightenment of Stability in Ancient Structures -- Exploration of Rational Structure and Solution Method of Highway Soft Soil Subgrade -- Contrast Test and Calculation Analysis of Stability and Looseness of Highway Soft Soil Subgrade -- Comparative Experimental Study on Strength and Rheological Characteristics of Soft Soil Foundation -- Basic Characteristics and Design Method of Highway Soft Soil Subgrade -- Practical Design Method of Highway Soft Soil Subgrade -- Construction Practice of Cement Mixed Lime Soil Subgrade in Jiaxing -- Treatment Practice of "Bridgehead Bumping" of Existing Highway in Taizhou -- Treatment Practice of Bumping at Bridgehead of Wenzhou Highway -- Treatment Practice of Bumping at Bridgehead of Ningbo Highway.This book presents a new method for controlling the “bridge-head bumping” in soft soil ground based on years of practical on-site experience, which will be a valuable guide for engineers in Civil Engineering and Geotechnical Engineering. The soil properties of soft soil ground have the characteristics of big void ratio, high compressibility, high water content, low impermeability, low strength, strong structure and strong sensitivity. As a result, the soil ground presents very high rheological property. Therefore, controlling the “bridge-head bumping” in soft soil ground is essential for controlling the amount of the soil rheology induced unstable successive settlement. Based on the deformation compatibility and control theory of structure, this book proposes strategies to improve the design method of soft soil ground and the effective “bridge-head bumping” control method. .SpringerBriefs in Applied Sciences and Technology,2191-530XEngineering geologyEngineering—GeologyFoundationsHydraulicsTransportation engineeringTraffic engineeringMechanicsMechanics, AppliedGeoengineering, Foundations, Hydraulicshttps://scigraph.springernature.com/ontologies/product-market-codes/T23020Transportation Technology and Traffic Engineeringhttps://scigraph.springernature.com/ontologies/product-market-codes/T23120Solid Mechanicshttps://scigraph.springernature.com/ontologies/product-market-codes/T15010Classical Mechanicshttps://scigraph.springernature.com/ontologies/product-market-codes/P21018Engineering geology.Engineering—Geology.Foundations.Hydraulics.Transportation engineering.Traffic engineering.Mechanics.Mechanics, Applied.Geoengineering, Foundations, Hydraulics.Transportation Technology and Traffic Engineering.Solid Mechanics.Classical Mechanics.624.15Zhu Hanhuaauthttp://id.loc.gov/vocabulary/relators/aut872829Wu Zhijunauthttp://id.loc.gov/vocabulary/relators/autChen Mengchongauthttp://id.loc.gov/vocabulary/relators/autZhao Yongliauthttp://id.loc.gov/vocabulary/relators/autBOOK9910350318303321Controlling Differential Settlement of Highway Soft Soil Subgrade2035905UNINA