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Modelado matemático en imágenes biomédicas I: tomografía eléctrica y de ultrasonido-
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Características del artículo
- Estado
- ISBN-13
- 9783642034435
- Book Title
- Mathematical Modeling in Biomedical Imaging I
- ISBN
- 9783642034435
- Subject Area
- Mathematics, Science, Medical
- Publication Name
- Mathematical Modeling in Biomedical Imaging I : Electrical and Ultrasound Tomographies, Anomaly Detection, and Brain Imaging
- Publisher
- Springer Berlin / Heidelberg
- Item Length
- 9.3 in
- Subject
- Biostatistics, Diagnostic Imaging / General, Differential Equations / General, Applied, Life Sciences / Biology, Vector Analysis
- Publication Year
- 2009
- Series
- Lecture Notes in Mathematics Ser.
- Type
- Textbook
- Format
- Trade Paperback
- Language
- English
- Item Weight
- 13.8 Oz
- Item Width
- 6.1 in
- Number of Pages
- Xv, 228 Pages
Acerca de este producto
Product Identifiers
Publisher
Springer Berlin / Heidelberg
ISBN-10
3642034438
ISBN-13
9783642034435
eBay Product ID (ePID)
77413209
Product Key Features
Number of Pages
Xv, 228 Pages
Language
English
Publication Name
Mathematical Modeling in Biomedical Imaging I : Electrical and Ultrasound Tomographies, Anomaly Detection, and Brain Imaging
Publication Year
2009
Subject
Biostatistics, Diagnostic Imaging / General, Differential Equations / General, Applied, Life Sciences / Biology, Vector Analysis
Type
Textbook
Subject Area
Mathematics, Science, Medical
Series
Lecture Notes in Mathematics Ser.
Format
Trade Paperback
Dimensions
Item Weight
13.8 Oz
Item Length
9.3 in
Item Width
6.1 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2009-932673
Dewey Edition
22
Series Volume Number
1983
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
616.0757
Table Of Content
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.
Synopsis
Mathematical sciences are contributing more and more to advances in life science research, a trend that will grow in the future. Realizing that the mathematical sciences can be critical to many areas of biomedical imaging, we organized a three-day minicourse on mathema- cal modelling in biomedical imaging at the Institute Henri PoincareinParis in March 2007. Prominent mathematicians and biomedical researchers were paired to review the state-of-the-art in the subject area and to share mat- maticalinsightsregardingfutureresearchdirectionsinthisgrowingdiscipline. The speakers gave presentations on hot topics including electromagnetic brain activity, time-reversal techniques, elasticity imaging, infrared thermal tomography, acoustic radiationforce imaging, electrical impedance and m- netic resonance electrical impedance tomographies. Indeed, they contributed to this volume with original chapters to give a wider audience the bene't of their talks and their thoughts on the ?eld. This volume is devoted to providing an exposition of the promising - alytical and numerical techniques for solving important biomedical imaging problems and to piquing interest in some of the most challenging issues. We hope that it will stimulate much needed progress in the directions that were described during the course. The biomedical imaging problems addressed in this volume trigger the investigation of interesting and di'cult problems in various branches of mathematics including partialdi'erential equations, h- monic analysis, complex analysis, numerical analysis, optimization, image analysis, and signal theory. The partial support o'ered by the ANR project EchoScan (AN-06- Blan-0089) is acknowledged. We also thank the sta? at the Institute Henri Poincar e., Mathematical sciences are contributing more and more to advances in life science research, a trend that will grow in the future. Realizing that the mathematical sciences can be critical to many areas of biomedical imaging, we organized a three-day minicourse on mathema- cal modelling in biomedical imaging at the Institute Henri Poincar´einParis in March 2007. Prominent mathematicians and biomedical researchers were paired to review the state-of-the-art in the subject area and to share mat- maticalinsightsregardingfutureresearchdirectionsinthisgrowingdiscipline. The speakers gave presentations on hot topics including electromagnetic brain activity, time-reversal techniques, elasticity imaging, infrared thermal tomography,acoustic radiationforce imaging, electrical impedance and m- netic resonance electrical impedance tomographies. Indeed, they contributed to this volume with original chapters to give a wider audience the bene't of their talks and their thoughts on the ?eld. This volume is devoted to providing an exposition of the promising - alytical and numerical techniques for solving important biomedical imaging problems and to piquing interest in some of the most challenging issues. We hope that it will stimulate much needed progress in the directions that were described during the course. The biomedical imaging problems addressed in this volume trigger the investigation of interesting and di'cult problems in various branches of mathematics including partialdi'erential equations, h- monic analysis, complex analysis, numerical analysis, optimization, image analysis, and signal theory. The partial support o'ered by the ANR project EchoScan (AN-06- Blan-0089) is acknowledged. We also thank the sta? at the Institute Henri Poincar´ e., This volume details promising analytical and numerical techniques for solving challenging biomedical imaging problems, which trigger the investigation of interesting issues in various branches of mathematics., Mathematical sciences are contributing more and more to advances in life science research, a trend that will grow in the future. Realizing that the mathematical sciences can be critical to many areas of biomedical imaging, we organized a three-day minicourse on mathema- cal modelling in biomedical imaging at the Institute Henri Poincar einParis in March 2007. Prominent mathematicians and biomedical researchers were paired to review the state-of-the-art in the subject area and to share mat- maticalinsightsregardingfutureresearchdirectionsinthisgrowingdiscipline. The speakers gave presentations on hot topics including electromagnetic brain activity, time-reversal techniques, elasticity imaging, infrared thermal tomography, acoustic radiationforce imaging, electrical impedance and m- netic resonance electrical impedance tomographies. Indeed, they contributed to this volume with original chapters to give a wider audience the bene't of their talks and their thoughts on the ?eld. This volume is devoted to providing an exposition of the promising - alytical and numerical techniques for solving important biomedical imaging problems and to piquing interest in some of the most challenging issues. We hope that it will stimulate much needed progress in the directions that were described during the course. The biomedical imaging problems addressed in this volume trigger the investigation of interesting and di?cult problems in various branches of mathematics including partialdi?erential equations, h- monic analysis, complex analysis, numerical analysis, optimization, image analysis, and signal theory. The partial support o?ered by the ANR project EchoScan (AN-06- Blan-0089) is acknowledged. We also thank the sta? at the Institute Henri Poincar e.
LC Classification Number
QH323.5
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Información de vendedor profesional
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