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Record Nr. |
UNINA9910632868803321 |
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Autore |
Makarov Sergey |
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Titolo |
Brain and Human Body Modelling 2021 : Selected papers presented at 2021 BHBM Conference at Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital / / edited by Sergey Makarov, Gregory Noetscher, Aapo Nummenmaa |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
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ISBN |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (VI, 172 p. 81 illus., 80 illus. in color.) |
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Classificazione |
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SCI009000TEC024000TEC059000 |
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Disciplina |
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Soggetti |
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Biomedical engineering |
Telecommunication |
Radiation dosimetry |
Biomedical Engineering and Bioengineering |
Microwaves, RF Engineering and Optical Communications |
Radiation Dosimetry and Protection |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Part 1 Low Frequency Electromagnetic Modeling and Experiment. Tumor Treating Fields -- 1. Nichal Gentilal, Ariel Naveh, Tal Marciano, Zeev Bomzon, Yevgeniy Telepinsky, Yoram Wasserman, and Pedro Cavaleiro Miranda. The impact of scalp’s temperature in the predicted LMiPD in the tumor during TTFields treatment for glioblastoma multiforme -- 2. N. Mikic, F. Cao, F.L. Hansen, A.M. Jakobsen, A. Thielscher, and A.R. Korshøj. Standardizing skullremodeling surgery and electrode array layout to improve Tumor Treating Fields using computational head modeling and finite element methods -- Part 2 Low Frequency Electromagnetic Modeling and Experiment. Neural Stimulation in Gradient Coils -- 3. Yihe Hua, Desmond T.B. Yeo, and Thomas KF Foo. Peripheral Nerve Stimulation (PNS) Analysis of MRI Head Gradient Coils with Human Body Models -- Part 3 Low Frequency ElectromagneticModeling and Experiment. Transcranial Magnetic Stimulation -- 4. Mohammad Daneshzand, Lucia I. Navarro de Lara, |
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Qinglei Meng, Sergey N. Makarov, Tommi Raij, and Aapo Nummenmaa. Experimental verification of a computational real-time neuronavigation system for multichannel Transcranial Magnetic Stimulation -- 5. Tayeb Zaidi and Kyoko Fujimoto. Evaluation and Comparison of Simulated Electric Field Differences Using Three Image Segmentation Methods for TMS -- 6. Qinglei Meng, Hedyeh Bagherzadeh, Elliot Hong, Yihong Yang, Hanbing Lu, Fow-Sen Choa. Angle-tuned Coil: A Focality-Adjustable Transcranial Magnetic Stimulator -- Part 4 Low Frequency Electromagnetic Modeling and Experiment. Spinal Cord Stimulation -- 7. Sofia R. Fernandes, Mariana Pereira, Sherif M. Elbasiouny, Yasin Y. Dhaher, Mamede de Carvalho, and Pedro C. Miranda. Interplay between Electrical Conductivity of Tissues and Position of Electrodes in Transcutaneous Spinal Direct Current Stimulation (tsDCS) -- Part 5 High Frequency Electromagnetic Modeling and Experiment. MRI Safety with Active and Passive Implants -- 8. James E. Brown, Paul J. Stadnik, Jeffrey A. Von Arx, and Dirk Muessig. RF-induced Heating Near Active Implanted Medical Devices in MRI: Impact of Tissue Simulating Medium -- 9. Gregory M Noetscher, Peter Serano, Ara Nazarian, Sergey N Makarov. Computational Tool Comprising Visible Human Project® Based Anatomical Female CAD Model and Ansys HFSS/Mechanical® FEM Software for Temperature Rise Prediction near an Orthopedic Femoral Nail Implant during a 1.5 T MRI Scan -- Part 6 High Frequency Electromagnetic Modeling. Microwave Imaging -- 10. Peter Serano, Johnathan Adams, Ara Nazarian. Modeling and Experimental Results for Microwave Imaging of a Hip with Emphasis on the Femoral Neck. |
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Sommario/riassunto |
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This open access book describes modern applications of computational human modelling to advance neurology, cancer treatment, and radio-frequency studies including regulatory, safety, and wireless communication fields. Readers working on any application that may expose human subjects to electromagnetic radiation will benefit from this book’s coverage of the latest models and techniques available to assess a given technology’s safety and efficacy in a timely and efficient manner. Describes computational human body phantom construction and application; Explains new practices in computational human body modeling for electromagnetic safety and exposure evaluations; Includes a survey of modern applications for which computational human phantoms are critical; This book describes modern applications of computational human modelling. This book is licensed under the terms of the Creative Commons Attribution 4.0 International License http://creativecommons.org/licenses/by/4.0/ which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. The images or other third party material in this book are included in the book's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the book's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. |
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2. |
Record Nr. |
UNINA9910300126603321 |
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Autore |
Olver Peter J. |
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Titolo |
Applied Linear Algebra / / by Peter J. Olver, Chehrzad Shakiban |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
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ISBN |
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Edizione |
[2nd ed. 2018.] |
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Descrizione fisica |
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1 online resource (XXV, 679 p. 130 illus., 88 illus. in color.) |
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Collana |
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Undergraduate Texts in Mathematics, , 0172-6056 |
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Disciplina |
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Soggetti |
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Matrix theory |
Algebra |
Mathematical physics |
Linear and Multilinear Algebras, Matrix Theory |
Mathematical Applications in the Physical Sciences |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Preface -- 1. Linear Algebraic Systems -- 2. Vector Spaces and Bases -- 3. Inner Products and Norms -- 4. Minimization and Least Squares Approximation -- 5. Orthogonality -- 6. Equilibrium -- 7. Linearity -- 8. Eigenvalues -- 9. Linear Dynamical Systems -- 10. Iteration of Linear Systems -- 11. Boundary Value Problems in One Dimension -- References -- Index. |
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Sommario/riassunto |
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This textbook develops the essential tools of linear algebra, with the goal of imparting technique alongside contextual understanding. Applications go hand-in-hand with theory, each reinforcing and explaining the other. This approach encourages students to develop not only the technical proficiency needed to go on to further study, but an appreciation for when, why, and how the tools of linear algebra can be used across modern applied mathematics. Providing an extensive treatment of essential topics such as Gaussian elimination, inner products and norms, and eigenvalues and singular values, this text can be used for an in-depth first course, or an application-driven second course in linear algebra. In this second edition, applications have been updated and expanded to include numerical methods, dynamical systems, data analysis, and signal processing, while the pedagogical |
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flow of the core material has been improved. Throughout, the text emphasizes the conceptual connections between each application and the underlying linear algebraic techniques, thereby enabling students not only to learn how to apply the mathematical tools in routine contexts, but also to understand what is required to adapt to unusual or emerging problems. No previous knowledge of linear algebra is needed to approach this text, with single-variable calculus as the only formal prerequisite. However, the reader will need to draw upon some mathematical maturity to engage in the increasing abstraction inherent to the subject. Once equipped with the main tools and concepts from this book, students will be prepared for further study in differential equations, numerical analysis, data science and statistics, and a broad range of applications. The first author’s text, Introduction to Partial Differential Equations, is an ideal companion volume, forming a natural extension of the linear mathematical methods developed here. |
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