An Introduction to Mathematics of Emerging Biomedical Imaging

Biomedical imaging is a fascinating research area to applied mathematicians. Challenging imaging problems arise and they often trigger the investigation of fundamental problems in various branches of mathematics. This is the first book to highlight the most recent mathematical developments in emergi...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Ammari, Habib (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edición:1st ed. 2008.
Colección:Mathématiques et Applications, 62
Temas:
Internal medicine.
Biomathematics.
Potential theory (Mathematics).
Differential equations.
Internal Medicine.
Mathematical and Computational Biology.
Potential Theory.
Differential Equations.
Acceso en línea:Texto Completo

MARC

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250 |a 1st ed. 2008. 
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300 |a X, 198 p. 16 illus.  |b online resource. 
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490 1 |a Mathématiques et Applications,  |x 2198-3275 ;  |v 62 
505 0 |a Mathematical Tools -- Biomedical Imaging Modalities -- Preliminaries -- Layer Potential Techniques -- General Reconstruction Algorithms -- Tomographic Imaging with Non-Diffracting Sources -- Tomographic Imaging with Diffracting Sources -- Biomagnetic Source Imaging -- Anomaly Detection Algorithms -- Small Volume Expansions -- Imaging Techniques -- Hybrid Imaging Techniques -- Magnetic Resonance Electrical Impedance Tomography -- Impediography -- Magnetic Resonance Elastography. 
520 |a Biomedical imaging is a fascinating research area to applied mathematicians. Challenging imaging problems arise and they often trigger the investigation of fundamental problems in various branches of mathematics. This is the first book to highlight the most recent mathematical developments in emerging biomedical imaging techniques. The main focus is on emerging multi-physics and multi-scales imaging approaches. For such promising techniques, it provides the basic mathematical concepts and tools for image reconstruction. Further improvements in these exciting imaging techniques require continued research in the mathematical sciences, a field that has contributed greatly to biomedical imaging and will continue to do so. The volume is suitable for a graduate-level course in applied mathematics and helps prepare the reader for a deeper understanding of research areas in biomedical imaging. 
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650 0 |a Biomathematics. 
650 0 |a Potential theory (Mathematics). 
650 0 |a Differential equations. 
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650 2 4 |a Potential Theory. 
650 2 4 |a Differential Equations. 
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