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Mathematical Modeling in Biomedical Imaging II [electronic resource] :Optical, Ultrasound, and Opto-Acoustic Tomographies / edited by Habib Ammari.

by Ammari, Habib [editor.]; SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Mathematics: 2035Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : 2012.Description: IX, 160 p. 43 illus., 38 illus. in color. online resource.ISBN: 9783642229909.Subject(s): Mathematics | Radiology, Medical | Mathematical physics | Biomedical engineering | Mathematics | Applications of Mathematics | Imaging / Radiology | Mathematical Methods in Physics | Biomedical EngineeringDDC classification: 519 Online resources: Click here to access online
Contents:
Direct Reconstruction Methods in Optical Tomography -- Direct Reconstruction Methods in Ultrasound Imaging of Small Anomalies -- Photoacoustic Imaging for Attenuating Acoustic Media -- Attenuation Models in Photoacoustics -- Quantitative Photoacoustic Tomography.
In: Springer eBooksSummary: This volume reports on recent mathematical and computational advances in optical, ultrasound, and opto-acoustic tomographies. It outlines the state-of-the-art and future directions in these fields and provides readers with the most recently developed mathematical and computational tools.  It is particularly suitable for researchers and graduate students in applied mathematics and biomedical engineering.
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Direct Reconstruction Methods in Optical Tomography -- Direct Reconstruction Methods in Ultrasound Imaging of Small Anomalies -- Photoacoustic Imaging for Attenuating Acoustic Media -- Attenuation Models in Photoacoustics -- Quantitative Photoacoustic Tomography.

This volume reports on recent mathematical and computational advances in optical, ultrasound, and opto-acoustic tomographies. It outlines the state-of-the-art and future directions in these fields and provides readers with the most recently developed mathematical and computational tools.  It is particularly suitable for researchers and graduate students in applied mathematics and biomedical engineering.

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