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An Introduction to Mathematics of Emerging Biomedical Imaging / by Habib Ammari
(Mathématiques et Applications. ISSN:21983275 ; 62)

1st ed. 2008.
出版者 (Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer)
出版年 2008
本文言語 英語
大きさ X, 198 p. 16 illus : online resource
著者標目 *Ammari, Habib author
SpringerLink (Online service)
件 名 LCSH:Internal medicine
LCSH:Biomathematics
LCSH:Potential theory (Mathematics)
LCSH:Differential equations
FREE:Internal Medicine
FREE:Mathematical and Computational Biology
FREE:Potential Theory
FREE:Differential Equations
一般注記 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
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
HTTP:URL=https://doi.org/10.1007/978-3-540-79553-7
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電子ブック オンライン 電子ブック

Springer eBooks 9783540795537
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EB00233279

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データ種別 電子ブック
分 類 LCC:RC1-1245
DC23:616
書誌ID 4000116814
ISBN 9783540795537

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