Home Medicine 10 Chemical engineering methods in better understanding of blood hydrodynamics in atherosclerosis disease
Chapter
Licensed
Unlicensed Requires Authentication

10 Chemical engineering methods in better understanding of blood hydrodynamics in atherosclerosis disease

  • Krystian Jędrzejczak , Arkadiusz Antonowicz , Krzysztof Wojtas , Wojciech Orciuch , Malenka Bissell and Łukasz Makowski
Become an author with De Gruyter Brill
How to publish with us
Chemical Engineering Principles Applied to Medicine
This chapter is in the book Chemical Engineering Principles Applied to Medicine

Abstract

Background/Objective: Cardiovascular diseases are among the leading causes of death in the 21st-century society. One of the most common cardiovascular diseases is atherosclerosis, where the accumulation of plaque in blood vessels leads to blockages, increasing the risk of mechanical hemolysis or embolism. Methods: Recent advancements in clinical imaging technologies, including 4D MRI, allow for non-invasive assessments of both blood vessel conditions and blood flow hydrodynamics. Computational fluid dynamics (CFD) simulations of the cardiovascular system have also contributed to a deeper understanding of heart and blood vessel function. In addition to CFD simulations, 3D printing is increasingly used to create realistic models of the cardiovascular system based on medical imaging data, which can be used for further study and testing. Results: The integration of modern medical imaging techniques with CFD simulations offers new opportunities in diagnosing and planning treatment for cardiovascular diseases, including atherosclerosis. CFD simulations provide detailed insights into blood flow dynamics within arteries affected by plaque build-up, enabling a more precise understanding of disease progression. In this study, CFD results were validated against micro – particle image velocimetry (µPIV) measurements performed on 3D-printed models of the left coronary artery bifurcation. The comparison showed strong agreement between CFD simulations and PIV measurements, confirming the accuracy of CFD models in replicating real-world blood flow conditions. These results highlight the potential of combining 4D MRI, CFD simulations, and 3D printing for enhancing cardiovascular research and improving clinical outcomes. Conclusion: Modern imaging and CFD simulations offer effective non-invasive methods for diagnosing atherosclerosis-related complications, improving the accuracy of treatment planning.244

Abstract

Background/Objective: Cardiovascular diseases are among the leading causes of death in the 21st-century society. One of the most common cardiovascular diseases is atherosclerosis, where the accumulation of plaque in blood vessels leads to blockages, increasing the risk of mechanical hemolysis or embolism. Methods: Recent advancements in clinical imaging technologies, including 4D MRI, allow for non-invasive assessments of both blood vessel conditions and blood flow hydrodynamics. Computational fluid dynamics (CFD) simulations of the cardiovascular system have also contributed to a deeper understanding of heart and blood vessel function. In addition to CFD simulations, 3D printing is increasingly used to create realistic models of the cardiovascular system based on medical imaging data, which can be used for further study and testing. Results: The integration of modern medical imaging techniques with CFD simulations offers new opportunities in diagnosing and planning treatment for cardiovascular diseases, including atherosclerosis. CFD simulations provide detailed insights into blood flow dynamics within arteries affected by plaque build-up, enabling a more precise understanding of disease progression. In this study, CFD results were validated against micro – particle image velocimetry (µPIV) measurements performed on 3D-printed models of the left coronary artery bifurcation. The comparison showed strong agreement between CFD simulations and PIV measurements, confirming the accuracy of CFD models in replicating real-world blood flow conditions. These results highlight the potential of combining 4D MRI, CFD simulations, and 3D printing for enhancing cardiovascular research and improving clinical outcomes. Conclusion: Modern imaging and CFD simulations offer effective non-invasive methods for diagnosing atherosclerosis-related complications, improving the accuracy of treatment planning.244

Chapters in this book

  1. Preface V
  2. List of contributing authors
  3. Part I Chemical engineering and medicine
  4. 1 A systems engineering approach to medicine 3
  5. Part II Modelling physiology
  6. 2 Computational modelling in liver system and liver disease 21
  7. 3 Inhaled aerosols as carriers of pulmonary medicines and the limitations of in vitro–in vivo correlation (IVIVC) methods 49
  8. 4 Modelling drug permeation across the skin: a chemical engineering perspective 73
  9. 5 Chemical engineering contribution to hemodialysis innovation: achieving the wearable artificial kidneys with nanomaterial-based dialysate regeneration 103
  10. Part III Disease and treatment
  11. 6 Precision medicine in hypothyroidism: an engineering approach to individualized levothyroxine dosing 127
  12. 7 Glucose sensors in medicine: overview 167
  13. 8 Macroscopic transport models for drugs and vehicles in cancer tissues 185
  14. 9 Mathematical modelling of hollow-fiber haemodialysis modules 203
  15. 10 Chemical engineering methods in better understanding of blood hydrodynamics in atherosclerosis disease 243
  16. 11 On the development of pharmacokinetic models for the characterisation and diagnosis of von Willebrand disease 263
  17. Part IV Pharmacokinetics and drug delivery
  18. 12 An introduction to quantitative systems pharmacology for chemical engineers 293
  19. 13 A novel strategy for brain cancer treatment through a multiple emulsion system for simultaneous therapeutics delivery 315
  20. 14 Model-based dose selection for gene therapy for haemophilia B 333
  21. 15 Lipid-based nanoparticles for nucleic acids delivery 359
  22. Index
https://doi.org/10.1515/9783111394558-010

Chapters in this book

  1. Preface V
  2. List of contributing authors
  3. Part I Chemical engineering and medicine
  4. 1 A systems engineering approach to medicine 3
  5. Part II Modelling physiology
  6. 2 Computational modelling in liver system and liver disease 21
  7. 3 Inhaled aerosols as carriers of pulmonary medicines and the limitations of in vitro–in vivo correlation (IVIVC) methods 49
  8. 4 Modelling drug permeation across the skin: a chemical engineering perspective 73
  9. 5 Chemical engineering contribution to hemodialysis innovation: achieving the wearable artificial kidneys with nanomaterial-based dialysate regeneration 103
  10. Part III Disease and treatment
  11. 6 Precision medicine in hypothyroidism: an engineering approach to individualized levothyroxine dosing 127
  12. 7 Glucose sensors in medicine: overview 167
  13. 8 Macroscopic transport models for drugs and vehicles in cancer tissues 185
  14. 9 Mathematical modelling of hollow-fiber haemodialysis modules 203
  15. 10 Chemical engineering methods in better understanding of blood hydrodynamics in atherosclerosis disease 243
  16. 11 On the development of pharmacokinetic models for the characterisation and diagnosis of von Willebrand disease 263
  17. Part IV Pharmacokinetics and drug delivery
  18. 12 An introduction to quantitative systems pharmacology for chemical engineers 293
  19. 13 A novel strategy for brain cancer treatment through a multiple emulsion system for simultaneous therapeutics delivery 315
  20. 14 Model-based dose selection for gene therapy for haemophilia B 333
  21. 15 Lipid-based nanoparticles for nucleic acids delivery 359
  22. Index
Sign up now to receive a 20% welcome discount
Institutional Access
How does access work?
Have an idea on how to improve our website?
Please write us.
© 2025 De Gruyter Brill
Downloaded on 6.12.2025 from https://www.degruyterbrill.com/document/doi/10.1515/9783111394558-010/html
Scroll to top button