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.
Highlights
The case studies demonstrate quantitative analysis of complex transport and reaction phenomena using in vivo observations from medical imaging
Systems engineering which deals with complex interacting chemical processes along with medical imaging technologies are in the ideal position to make biomedical discoveries
Coupled with image-based computational fluid dynamics (iCFD), these images are converted into three-dimensional models where infusion can be tested quantitatively
Summary
The infusate propels these drugs deeper inside the porous tissue by convective flow This promising new treatment option has a wide range of applications including Parkinson’s disease, brain tumor and gene therapy. By applying the iCFD procedures, an accurate anatomical model of the patient’s brain was recreated on the computer with physiological brain structures including clear gray and white matter boundaries, tissue permeability and anisotropy, and realistic transport properties. This iCFD model enables patient-specific infusion design by predicting drug transport and biodistribution after infusion via a catheter.
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