Kooperativer Bibliotheksverbund

UID:

Umfang: 1 Online-Ressource (xi, 402 Seiten) , 175 Illustrationen, 148 Illustrationen (farbig)

ISBN: 9783030212933

Anmerkung: Literaturangaben

Weitere Ausg.: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-21292-6

Sprache: Englisch

Fachgebiete: Medizin

Schlagwort(e): Medizintechnik, Verfahren, Systeme und Informationsverarbeitung ; Körper ; Gehirn ; Computersimulation ; Aufsatzsammlung ; Konferenzschrift

DOI: 10.1007/978-3-030-21293-3

URL: Volltext  (kostenfrei)

URL: Volltext

URL: kostenfrei

UID:

Umfang: 1 online resource (XI, 402 p. 175 illus., 148 illus. in color.)

Ausgabe: 1st ed. 2019.

ISBN: 3-030-21293-9

Inhalt: This open access book describes modern applications of computational human modeling with specific emphasis in the areas of neurology and neuroelectromagnetics, depression and cancer treatments, radio-frequency studies and wireless communications. Special consideration is also given to the use of human modeling to the computational assessment of relevant regulatory and safety requirements. Readers working on applications that may expose human subjects to electromagnetic radiation will benefit from this book’s coverage of the latest developments in computational modelling and human phantom development to assess a given technology’s safety and efficacy in a timely manner. Describes construction and application of computational human models including anatomically detailed and subject specific models; Explains new practices in computational human modeling for neuroelectromagnetics, electromagnetic safety, and exposure evaluations; Includes a survey of modern applications for which computational human models are critical; Describes cellular-level interactions between the human body and electromagnetic fields.

Anmerkung: Chapter 1. SimNIBS 2.1: A Comprehensive Pipeline for Individualized Electric Field Modelling for Transcranial Brain Stimulation -- Chapter 2. Electric Field Modeling for Transcranial Magnetic Stimulation and Electroconvulsive Therapy -- Chapter 3. Estimates of Peak Electric Fields Induced by Transcranial Magnetic Stimulation in Pregnant Women as Patients or Operators Using an FEM Full-Body Model -- Chapter 4. Finite element modelling framework for electroconvulsive therapy and transcranial stimulation -- Chapter 5. Design and Analysis of a Whole Body Non-Contact Electromagnetic Subthreshold Stimulation Device with Field Modulation Targeting Nonspecific Neuropathic Pain -- Chapter 6. Insights from Computer Modeling: Analysis of Physical Characteristics of Glioblastoma in Patients Treated with Tumor Treating Fields -- Chapter 7. Simulating the Effect of 200 kHz AC Electric Fields on Tumor Cell Structures to Uncover the Mechanism of a Cancer -- Chapter 8. Investigating the connection between Tumor Treating Fields distribution in the brain and Glioblastoma patient outcomes. A simulation-based study utilizing a novel model creation technique -- Chapter 9. Advanced Multiparametric Imaging for Response Assessment to TTFields in Patients with Glioblastoma -- Chapter 10: Estimation of TTFields Intensity and Anisotropy with Singular Value Decomposition. A New and Comprehensive Method for Dosimetry of TTFields -- Chapter 11. The Bioelectric Circuitry of the Cell -- Chapter 12. Dose Coefficients for Use in Rapid Dose Estimation in Industrial Radiography Accidents -- Chapter 13. Brain Haemorrhage Detection Through SVM Classification of Electrical Impedance Tomography Measurements -- Chapter 14. Patient-specific RF safety assessment in MRI: progress in creating surface-based human head and shoulder models -- Chapter 15. Calculation of MRI RF-Induced Voltages for Implanted Medical Devices Using Computational Human Models -- Chapter 16. Effect of non-parallel applicator insertion on 2.45 GHz microwave ablation zone size and shape -- Chapter 17. A Robust Algorithm for Voxel-to-Polygon Mesh Phantom Conversion -- Chapter 18. FEM Human Body Model with Embedded Respiratory Cycles for Antenna and E&M Simulations -- Chapter 19. Radio Frequency Propagation Close to the Human Ear and Accurate Ear Canal Models -- Chapter 20. Water-content Electrical Property Tomography (wEPT) for mapping brain tissues' conductivity in the 200-1000 kHz range: Results of an animal study. , English

Weitere Ausg.: ISBN 3-030-21292-0

Sprache: Englisch

DOI: 10.1007/978-3-030-21293-3

UID:

Umfang: 1 online resource : , illustrations

ISBN: 9783030212933 , 3030212939 , 3030212920 , 9783030212940 , 3030212947 , 9783030212957 , 3030212955 , 9783030212926

Inhalt: This open access book describes modern applications of computational human modeling with specific emphasis in the areas of neurology and neuroelectromagnetics, depression and cancer treatments, radio-frequency studies and wireless communications. Special consideration is also given to the use of human modeling to the computational assessment of relevant regulatory and safety requirements. Readers working on applications that may expose human subjects to electromagnetic radiation will benefit from this book's coverage of the latest developments in computational modelling and human phantom development to assess a given technology's safety and efficacy in a timely manner. Describes construction and application of computational human models including anatomically detailed and subject specific models; Explains new practices in computational human modeling for neuroelectromagnetics, electromagnetic safety, and exposure evaluations; Includes a survey of modern applications for which computational human models are critical; Describes cellular-level interactions between the human body and electromagnetic fields.

Anmerkung: "This work is a collection of selected papers presented during the third Annual Invited Session on Computational Human Models. The session was conducted from July 17 to 21, 2018, in Honolulu, HI, as part of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS)." , Chapter 1. SimNIBS 2.1: A Comprehensive Pipeline for Individualized Electric Field Modelling for Transcranial Brain Stimulation -- Chapter 2. Electric Field Modeling for Transcranial Magnetic Stimulation and Electroconvulsive Therapy -- Chapter 3. Estimates of Peak Electric Fields Induced by Transcranial Magnetic Stimulation in Pregnant Women as Patients or Operators Using an FEM Full-Body Model -- Chapter 4. Finite element modelling framework for electroconvulsive therapy and transcranial stimulation -- Chapter 5. Design and Analysis of a Whole Body Non-Contact Electromagnetic Subthreshold Stimulation Device with Field Modulation Targeting Nonspecific Neuropathic Pain -- Chapter 6. Insights from Computer Modeling: Analysis of Physical Characteristics of Glioblastoma in Patients Treated with Tumor Treating Fields -- Chapter 7. Simulating the Effect of 200 kHz AC Electric Fields on Tumor Cell Structures to Uncover the Mechanism of a Cancer -- Chapter 8. Investigating the connection between Tumor Treating Fields distribution in the brain and Glioblastoma patient outcomes. A simulation-based study utilizing a novel model creation technique -- Chapter 9. Advanced Multiparametric Imaging for Response Assessment to TTFields in Patients with Glioblastoma -- Chapter 10: Estimation of TTFields Intensity and Anisotropy with Singular Value Decomposition. A New and Comprehensive Method for Dosimetry of TTFields -- Chapter 11. The Bioelectric Circuitry of the Cell -- Chapter 12. Dose Coefficients for Use in Rapid Dose Estimation in Industrial Radiography Accidents -- Chapter 13. Brain Haemorrhage Detection Through SVM Classification of Electrical Impedance Tomography Measurements -- Chapter 14. Patient-specific RF safety assessment in MRI: progress in creating surface-based human head and shoulder models -- Chapter 15. Calculation of MRI RF-Induced Voltages for Implanted Medical Devices Using Computational Human Models -- Chapter 16. Effect of non-parallel applicator insertion on 2.45 GHz microwave ablation zone size and shape -- Chapter 17. A Robust Algorithm for Voxel-to-Polygon Mesh Phantom Conversion -- Chapter 18. FEM Human Body Model with Embedded Respiratory Cycles for Antenna and E & M Simulations -- Chapter 19. Radio Frequency Propagation Close to the Human Ear and Accurate Ear Canal Models -- Chapter 20. Water-content Electrical Property Tomography (wEPT) for mapping brain tissues' conductivity in the 200-1000 kHz range: Results of an animal study.

Weitere Ausg.: Printed edition: ISBN 9783030212926

Weitere Ausg.: Printed edition: ISBN 9783030212940

Weitere Ausg.: Printed edition: ISBN 9783030212957

Sprache: Englisch

Schlagwort(e): Congress ; Conference papers and proceedings. ; Conference papers and proceedings. ; Actes de congrès.

DOI: 10.1007/978-3-030-21293-3

URL: ProQuest Ebook Central

URL: SpringerLink

URL: SpringerLink

URL: http://www.ncbi.nlm.nih.gov/books/NBK549565/

UID:

Umfang: XI, 402 p. 175 illus., 148 illus. in color. , online resource.

Ausgabe: 1st ed. 2019.

ISBN: 9783030212933

Inhalt: This open access book describes modern applications of computational human modeling with specific emphasis in the areas of neurology and neuroelectromagnetics, depression and cancer treatments, radio-frequency studies and wireless communications. Special consideration is also given to the use of human modeling to the computational assessment of relevant regulatory and safety requirements. Readers working on applications that may expose human subjects to electromagnetic radiation will benefit from this book's coverage of the latest developments in computational modelling and human phantom development to assess a given technology's safety and efficacy in a timely manner. Describes construction and application of computational human models including anatomically detailed and subject specific models; Explains new practices in computational human modeling for neuroelectromagnetics, electromagnetic safety, and exposure evaluations; Includes a survey of modern applications for which computational human models are critical; Describes cellular-level interactions between the human body and electromagnetic fields.

Anmerkung: Chapter 1. SimNIBS 2.1: A Comprehensive Pipeline for Individualized Electric Field Modelling for Transcranial Brain Stimulation -- Chapter 2. Electric Field Modeling for Transcranial Magnetic Stimulation and Electroconvulsive Therapy -- Chapter 3. Estimates of Peak Electric Fields Induced by Transcranial Magnetic Stimulation in Pregnant Women as Patients or Operators Using an FEM Full-Body Model -- Chapter 4. Finite element modelling framework for electroconvulsive therapy and transcranial stimulation -- Chapter 5. Design and Analysis of a Whole Body Non-Contact Electromagnetic Subthreshold Stimulation Device with Field Modulation Targeting Nonspecific Neuropathic Pain -- Chapter 6. Insights from Computer Modeling: Analysis of Physical Characteristics of Glioblastoma in Patients Treated with Tumor Treating Fields -- Chapter 7. Simulating the Effect of 200 kHz AC Electric Fields on Tumor Cell Structures to Uncover the Mechanism of a Cancer -- Chapter 8. Investigating the connection between Tumor Treating Fields distribution in the brain and Glioblastoma patient outcomes. A simulation-based study utilizing a novel model creation technique -- Chapter 9. Advanced Multiparametric Imaging for Response Assessment to TTFields in Patients with Glioblastoma -- Chapter 10: Estimation of TTFields Intensity and Anisotropy with Singular Value Decomposition. A New and Comprehensive Method for Dosimetry of TTFields -- Chapter 11. The Bioelectric Circuitry of the Cell -- Chapter 12. Dose Coefficients for Use in Rapid Dose Estimation in Industrial Radiography Accidents -- Chapter 13. Brain Haemorrhage Detection Through SVM Classification of Electrical Impedance Tomography Measurements -- Chapter 14. Patient-specific RF safety assessment in MRI: progress in creating surface-based human head and shoulder models -- Chapter 15. Calculation of MRI RF-Induced Voltages for Implanted Medical Devices Using Computational Human Models -- Chapter 16. Effect of non-parallel applicator insertion on 2.45 GHz microwave ablation zone size and shape -- Chapter 17. A Robust Algorithm for Voxel-to-Polygon Mesh Phantom Conversion -- Chapter 18. FEM Human Body Model with Embedded Respiratory Cycles for Antenna and E&M Simulations -- Chapter 19. Radio Frequency Propagation Close to the Human Ear and Accurate Ear Canal Models -- Chapter 20. Water-content Electrical Property Tomography (wEPT) for mapping brain tissues' conductivity in the 200-1000 kHz range: Results of an animal study.

In: Springer Nature eBook

Weitere Ausg.: Printed edition: ISBN 9783030212926

Weitere Ausg.: Printed edition: ISBN 9783030212940

Weitere Ausg.: Printed edition: ISBN 9783030212957

Sprache: Englisch

DOI: 10.1007/978-3-030-21293-3

URL: https://doi.org/10.1007/978-3-030-21293-3

UID:

Umfang: 1 online resource (398 pages)

Ausgabe: 1st ed.

ISBN: 9783030212933

Anmerkung: Intro -- Preface to Computation Human Models and Brain Modeling: EMBC 2018 -- Contents -- Part I: Human Body Models for Non-invasive Stimulation -- Chapter 1: SimNIBS 2.1: A Comprehensive Pipeline for Individualized Electric Field Modelling for Transcranial Brain Stimulation -- 1.1 Introduction -- 1.2 Overview of the SimNIBS Workflow -- 1.2.1 Structural Magnetic Resonance Imaging Scans -- 1.2.2 Volume Conductor Modelling -- 1.2.3 Simulation Setup -- 1.2.4 Finite Element Method Calculations -- 1.2.5 Mapping Fields -- 1.3 Practical Examples and Use Cases -- 1.3.1 Hello SimNIBS: How to Process a Single Subject -- Generating the Volume Conductor Model -- Setting Up a Simulation -- Visualizing Fields -- 1.3.2 Advanced Usage: Group Analysis -- Head Meshing -- Write a Python or MATLAB Script -- Visualizing Results -- 1.4 The Accuracy of Automatic EEG Positioning -- 1.5 Conclusion -- References -- Chapter 2: Finite Element Modelling Framework for Electroconvulsive Therapy and Other Transcranial Stimulations -- 2.1 Introduction -- 2.2 Methods -- 2.2.1 Image Pre-processing -- Bias Field Correction -- Image Registration -- Image Segmentation -- Manual Segmentation -- Surface Smoothing -- Cortical Structure Labelling -- Challenges and Tips in Segmentation -- 2.2.2 White Matter Anisotropy -- 2.2.3 FE Meshing -- 2.2.4 Physics and Property Settings -- Tissue Conductivity -- Electrode Placement -- Other Boundary Conditions -- Numerical Solver Settings -- 2.3 Simulation Results -- 2.3.1 Electric Feld for Three ECT Electrode Configurations -- 2.4 Discussion -- 2.4.1 Model Extensions -- Subject-Specific Tissue Conductivity -- 2.5 Conclusion -- References -- Chapter 3: Estimates of Peak Electric Fields Induced by Transcranial Magnetic Stimulation in Pregnant Women as Patients or Operators Using an FEM Full-Body Model -- 3.1 Introduction -- 3.2 Methods and Materials. , 3.2.1 Existing Computational Models of a Pregnant Woman -- 3.2.2 Construction of FEM (CAD) Full-Body Pregnant Woman Model and Model Topology -- 3.2.3 Tissue Properties -- 3.3 Study Design -- 3.3.1 TMS Coil -- 3.3.2 Pulse Form and Duration -- 3.3.3 Coil Current -- 3.3.4 Coil Positions -- 3.3.5 Accidental Coil Discharge -- 3.3.6 Frequency-Domain Computations -- 3.3.7 Time-Domain Computations -- 3.3.8 Finding Maximum Peak Current Density/Electric Field Strength in Individual Tissues -- 3.4 Results: Pregnant Patient -- 3.4.1 Qualitative Behavior of Induced Currents in the Body of a Pregnant Patient at Different Frequencies (Pulse Durations) -- 3.4.2 Quantitative Results for Maximum Peak Electric Field at One SMT Unit -- 3.4.3 Comparison with the Recommended Safe Value of Electric Field -- 3.4.4 Observations from the Quantitative Solution -- 3.4.5 Comparison with Upper Analytical Estimate for Electric Fields/Eddy Currents -- 3.4.6 Using the Analytical Estimate for Predicting Maximum Fields for Different Patients -- 3.5 Results: Pregnant Operator and Accidental Coil Discharge -- 3.5.1 Quantitative Results for Maximum Peak Electric Field at One SMT Unit -- 3.5.2 Accidental Coil Discharge -- 3.6 Conclusion -- Japanese Virtual Model (JVM) Finite-Element Model Version 1.1 (6 months) -- References -- Chapter 4: Electric Field Modeling for Transcranial Magnetic Stimulation and Electroconvulsive Therapy -- 4.1 Introduction -- 4.2 Modeling Methods -- 4.2.1 ECT Modeling -- 4.2.2 rTMS Modeling -- 4.2.3 sTMS Modeling -- 4.3 Results -- 4.3.1 Electric Field Induced by ECT -- 4.3.2 Electric Field Induced by rTMS -- 4.3.3 Electric Field Induced by sTMS -- 4.4 Discussion -- 4.5 Conclusion -- References -- Chapter 5: Design and Analysis of a Whole-Body Noncontact Electromagnetic Subthreshold Stimulation Device with Field Modulation Targeting Nonspecific Neuropathic Pain. , 5.1 Introduction -- 5.2 Materials and Methods -- 5.2.1 Suprathreshold Versus Subthreshold Stimulation -- 5.2.2 Concept of the Magnetic Stimulator. Two-Dimensional Analytical Solution for Solenoidal E-Field -- 5.2.3 Three-Dimensional Coil Resonator Design. Solenoidal E-Field -- 5.2.4 Solenoidal Electric Field Distribution with and without a Simple Conducting Object -- 5.2.5 Contribution of Unpaired Electric Charges -- 5.2.6 Power Amplifier/Driver -- 5.2.7 Coupling and Matching the Power Amplifier to the Resonating Coil -- 5.2.8 Tuning Procedure -- 5.2.9 Coil Assembly, Device Setup, and Operation -- 5.2.10 Quality Factor of the Resonator and the Magnetic Field Strength -- 5.3 Device Safety Estimates -- 5.3.1 Peripheral Nervous System (PNS) Stimulation Threshold -- 5.3.2 Specific Absorption Rate (SAR) -- 5.3.3 Method of Analysis -- 5.3.4 Electric Field Levels -- 5.3.5 SAR Levels -- 5.4 Discussion -- 5.4.1 Efficacy of Stimulation -- 5.4.2 Integrated Effect of Stimulation -- 5.4.3 Operation as an EMAT -- 5.4.4 Variation of Resonant Frequency -- 5.5 Conclusion -- Appendix A: Derivation of Eq. (5.7) and Coil Q -- References -- Part II: Tumor Treating Fields (TTFs) -- Chapter 6: Simulating the Effect of 200 kHz AC Electric Fields on Tumour Cell Structures to Uncover the Mechanism of a Cancer Therapy -- 6.1 Introduction -- 6.2 Overview of the Models -- 6.2.1 Why Computer Modelling? -- 6.2.2 Axiomatizing the Underlying Systems Level -- 6.3 Clues to the Mechanisms Are Constraints on the Models -- 6.4 Candidates for TTFields Mechanisms -- 6.5 Disruption Metrics Derived from Signal-to-Noise Ratio -- 6.6 Models and Results -- 6.6.1 MT Resonance -- Electromechanical Model -- 6.6.2 MT Conductivity -- MT as a Multi-Layered Cable -- 6.6.3 C-Termini State Disruption -- Model Calibration -- 6.6.4 Kinesin Walk Diffusion Hypothesis -- 6.7 Conclusion -- References. , Chapter 7: Investigating the Connection Between Tumor-Treating Fields Distribution in the Brain and Glioblastoma Patient Outcomes. A Simulation-Based Study Utilizing a Novel Model Creation Technique -- 7.1 Introduction -- 7.2 Methods -- 7.2.1 MRI Data Used for the Study -- 7.2.2 Image Preprocessing -- 7.2.3 MRI Full Head Completion -- 7.2.4 High-Resolution Reconstruction -- 7.2.5 Background Noise Reduction -- 7.2.6 Patient Model Creation -- 7.2.7 Placement of Transducer Arrays on the Model -- Automatic Identification of Landmarks and Determination of the Array Positions -- Positioning of Anchor Points to Assist with Array Placement -- Finding the Center of All Disks in an Array -- Creating Cylinders Representing the Ceramic Disks and the Medical Gel -- 7.2.8 Simulations -- 7.2.9 Analysis -- 7.3 Results -- 7.4 Discussion and Conclusion -- References -- Chapter 8: Insights from Computer Modeling: Analysis of Physical Characteristics of Glioblastoma in Patients Treated with Tumor-Treating Fields -- 8.1 Introduction -- 8.2 TTFields Is Another Treatment Modality from the Electromagnetic Spectrum -- 8.3 Quantifying Electric Field Delivery in the Brain -- 8.4 Clinical Outcome from TTFields Treatment -- 8.5 Conclusion -- References -- Chapter 9: Advanced Multiparametric Imaging for Response Assessment to Tumor-Treating Fields in Patients with Glioblastoma -- 9.1 Introduction -- 9.2 Tumor-Treating Fields: Scientific Basis -- 9.3 Tumor-Treating Fields: Clinical Application in GBM Patients -- 9.4 Tumor-Treating Fields: Advanced Neuroimaging Techniques -- 9.5 Tumor-Treating Fields: Initial Experience -- 9.6 Conclusion -- References -- Chapter 10: Estimation of TTFields Intensity and Anisotropy with Singular Value Decomposition: A New and Comprehensive Method for Dosimetry of TTFields -- 10.1 Introduction. , 10.2 Preparation of Computational Models and Calculation of the Electrical Field -- 10.2.1 Laplace's Equation: The Electro-quasistatic Approximation of Maxwell's Equations -- 10.2.2 The Finite Element Framework for TTFields -- 10.2.3 Creation of Personalized Head Models -- 10.2.4 Placement of Transducer Arrays -- 10.2.5 Assignment of Tissue Conductivity -- 10.3 Dosimetry of TTFields -- 10.3.1 The Problem -- 10.3.2 The Basic Framework -- 10.3.3 Estimation of the TTFields Intensity -- 10.3.4 Estimating the Spatial Correlation of TTFields Using the Fractional Anisotropy (FA) Measure -- 10.3.5 Step-by-Step Framework for Calculation of FA and Eavr -- 10.4 Results from Example Calculations -- 10.4.1 Topographical Distributions of FA and Eavr -- 10.4.2 Variations in FA and Eavr for Different Array Layouts -- 10.4.3 Optimization of the TTFields Activation Cycle to Reduce Unwanted Field Anisotropy -- 10.5 Summary -- References -- Chapter 11: The Bioelectric Circuitry of the Cell -- 11.1 Introduction -- 11.2 Ion Channel Conduction Effects -- 11.3 Actin Filament Conductivity -- 11.4 Microtubule Conductivity -- 11.5 Conclusions -- References -- Part III: Electromagnetic Safety -- Chapter 12: Brain Haemorrhage Detection Through SVM Classification of Electrical Impedance Tomography Measurements -- 12.1 Introduction -- 12.2 Technologies -- 12.2.1 Electrical Impedance Tomography -- 12.2.2 Support Vector Machine (SVM) Classifiers -- 12.2.3 Computational Modelling Techniques -- 12.3 SVM Applied to Raw EIT Measurement Frames with Analysis of the Effect of Individual Variables on SVM Performance -- 12.3.1 The Effect of Noise -- 12.3.2 Effect of Bleed Location -- 12.3.3 Effect of Bleed Size -- 12.3.4 Effect of Electrode Positioning -- 12.3.5 Effect of Normal Variation in Between-Patient Anatomy -- 12.4 SVM Applied to EIT Processed Measurement Frames. , 12.4.1 Radial Basis Function Kernel Compared to Linear Kernel.

Weitere Ausg.: Print version: Makarov, Sergey Brain and Human Body Modeling Cham : Springer International Publishing AG,c2019 ISBN 9783030212926

Sprache: Englisch

Schlagwort(e): Electronic books.

URL: Click to View