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Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Differential equations
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Mathematical Modeling in Biomedical Imaging I - Electrical and Ultrasound Tomographies, Anomaly Detection, and Brain Imaging (Paperback, 2009)
Loot Price: R1,527
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Mathematical Modeling in Biomedical Imaging I - Electrical and Ultrasound Tomographies, Anomaly Detection, and Brain Imaging (Paperback, 2009)
Series: Lecture Notes in Mathematics, 1983
Expected to ship within 10 - 15 working days
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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.
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