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Mathematical Modeling in Biomedical Imaging I : Electrical and Ultrasound Tomographies, Anomaly Detection, and Brain Imaging / edited by Habib Ammari.

Por: Colaborador(es): Tipo de material: TextoTextoSeries Lecture Notes in Mathematics ; 1983Editor: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009Descripción: xv, 228 páginas recurso en líneaTipo de contenido:
  • texto
Tipo de medio:
  • computadora
Tipo de portador:
  • recurso en línea
ISBN:
  • 9783642034442
Formatos físicos adicionales: Edición impresa:: Sin títuloClasificación LoC:
  • QH323.5
Recursos en línea:
Contenidos:
Multi-Frequency Electrical Impedance Tomography and Magnetic Resonance Electrical Impedance Tomography -- Time Reversing Waves For Biomedical Applications -- The Method of Small-Volume Expansions for Medical Imaging -- Electric and Magnetic Activity of the Brain in Spherical and Ellipsoidal Geometry -- Estimation of Velocity Fields and Propagation on Non-Euclidian Domains: Application to the Exploration of Cortical Spatiotemporal Dynamics.
Resumen: This volume gives an introduction to a fascinating research area to applied mathematicians. It is devoted to providing the exposition of promising analytical and numerical techniques for solving challenging biomedical imaging problems, which trigger the investigation of interesting issues in various branches of mathematics.
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Springer eBooks

Multi-Frequency Electrical Impedance Tomography and Magnetic Resonance Electrical Impedance Tomography -- Time Reversing Waves For Biomedical Applications -- The Method of Small-Volume Expansions for Medical Imaging -- Electric and Magnetic Activity of the Brain in Spherical and Ellipsoidal Geometry -- Estimation of Velocity Fields and Propagation on Non-Euclidian Domains: Application to the Exploration of Cortical Spatiotemporal Dynamics.

This volume gives an introduction to a fascinating research area to applied mathematicians. It is devoted to providing the exposition of promising analytical and numerical techniques for solving challenging biomedical imaging problems, which trigger the investigation of interesting issues in various branches of mathematics.

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