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Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models00:57

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Physiological pharmacokinetic models, often called flow-limited or perfusion models, typically assume a swift drug distribution between tissue and venous blood, creating a rapid drug equilibrium. This premise is based on the idea that drug diffusion is extremely fast, and the cell membrane presents no barrier to drug permeation. In this scenario, where no drug binding occurs, the drug concentration in the tissue equals that of the venous blood leaving the tissue. This greatly simplifies the...
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Carbonation is a process used to dissolve carbon dioxide gas in a liquid, commonly used in the production of carbonated beverages. Achieving efficient carbonation requires careful control of temperature, pressure, and flow conditions. By adjusting these parameters, carbonation efficiency can be maximized, producing a higher concentration of CO2 in the liquid.
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Bernoulli's Equation for Flow Along a Streamline01:30

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In Vitro Model of Physiological and Pathological Blood Flow with Application to Investigations of Vascular Cell Remodeling
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Inverse problems in blood flow modeling: A review.

David Nolte1,2,3, Cristóbal Bertoglio1

  • 1Bernoulli Institute, University of Groningen, Groningen, The Netherlands.

International Journal for Numerical Methods in Biomedical Engineering
|May 8, 2022
PubMed
Summary
This summary is machine-generated.

Computational modeling of cardiovascular blood flow offers non-invasive diagnostics. This review details inverse problem methods for personalizing 3D models using clinical data, enhancing cardiovascular diagnostics.

Keywords:
blood flowsinverse problemsmathematical modelingmedical imaging

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Area of Science:

  • Cardiovascular research
  • Computational fluid dynamics
  • Biomedical engineering

Background:

  • Mathematical and computational modeling provide non-invasive cardiovascular diagnostics.
  • Personalizing 3D blood flow models requires solving inverse problems with clinical data.
  • Recent advances in inverse methods are driven by data availability and interdisciplinary collaboration.

Purpose of the Study:

  • To provide a comprehensive review of inverse problems in blood flow modeling over the last decade.
  • To focus on fully dimensional fluid and fluid-solid models.
  • To structure the literature review by problem type, model, and data.

Main Methods:

  • Introduction to relevant physical models and hemodynamic measurement techniques.
  • Survey of mathematical data assimilation approaches for inverse problems.
  • Categorization of inverse problems into state and parameter estimation.

Main Results:

  • An exhaustive discussion of literature from the past decade on inverse problems in blood flow.
  • Focus on studies utilizing fully dimensional fluid and fluid-solid models.
  • Structured review based on problem types, models, and available data.

Conclusions:

  • Inverse problems are crucial for personalizing cardiovascular models.
  • The field has seen significant expansion due to data and collaboration.
  • This review synthesizes current knowledge and identifies research trends.