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Biomedical systems research - new perspectives opened by quantitative medical imaging.

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Title: Biomedical systems research - new perspectives opened by quantitative medical imaging.
Author(s): Linninger, Andreas A.
Subject(s): biomedical engineering quantitative medical imaging image-based computational fluid mechanics parameter estimation in distributed systems pharmacokinetics
Abstract: Recent advances in quantitative imaging allow unprecedented views into cellular chemistry of whole organisms in vivo. These novel imaging modalities enable the quantitative investigation of spatio-temporal reaction and transport phenomena in the living animal or the human body. This article will highlight the significant role that rigorous systems engineering methods can play for interpreting the wealth of in-vivo measurements. A methodology to integrate medical imaging modalities with rigorous computational fluid dynamics entitled image-based computational fluid dynamics (iCFD) will be introduced. The quantitative analysis of biological systems with rigorous mathematical methods is expected to accelerate the introduction of novel drugs by providing a rational foundation for the systematic development of new medical therapies. Rigorous engineering methods not only advance biomedical research, but also aid the translation of laboratory research results into the bedside practice.
Issue Date: 2012-01
Publisher: Elsevier
Citation Info: Linninger, A. A. 2012. Biomedical systems research - New perspectives opened by quantitative medical imaging. Computers and Chemical Engineering, 36: 1-9. DOI: 10.1016/j.compchemeng.2011.07.010
Type: Article
Description: NOTICE: this is the author’s version of a work that was accepted for publication in Computers and Chemical Engineering. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Computers and Chemical Engineering, Vol 36, Issue , (10 January 2012). DOI: 10.1016/j.compchemeng.2011.07.010
URI: http://hdl.handle.net/10027/8560
ISSN: 0098-1354
Date Available in INDIGO: 2012-08-20
 

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