Araştırma Makalesi

Patient Specific Cardiovascular Disease Modelling Based on the Computational Fluid Dynamics Simulations: Segmentation and Hemodynamic Model of a Thoracic Artery

Cilt: 23 Sayı: 4 1 Aralık 2020
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Patient Specific Cardiovascular Disease Modelling Based on the Computational Fluid Dynamics Simulations: Segmentation and Hemodynamic Model of a Thoracic Artery

Öz

Nowadays cardiovascular diseases (CVDs), mostly coronary artery diseases become a leading cause of death. Flow dynamics of a vessel is important to diagnose a CVD in advance. However, hemodynamic parameters may not be measured directly. Hence, computational methods are increasingly being used in the fields of neurosurgery and cardiovascular surgery to obtain realistic physiological simulations. In this study, a patient specific thoracic artery model is first segmented based on the MRI images and then a thoracic aneurysm disease model is simulated to assess blood flow changes under the predefined conditions.

Anahtar Kelimeler

Kaynakça

  1. 1) WHO, Fact sheets. Available from: who.int/news-room/fact-sheets/detail/cardiovascular-diseases-(cvds). Revisited: 08.12.2019.
  2. 2) European Cardiovascular Disease Statistics, CVD Statistics. Available from: ehnheart.org/cvd-statistics.html. Revisited: 08.12.2019.
  3. 3) American Heart Association, Heart disease and stroke statistics. Available from: heart.org/-/media/data-import/downloadables/heart-disease-and-stroke-statistics-2018---at-a-glance-ucm_498848.pdf. Revisited: 08.12.2019.
  4. 4) Mohammed Y., “Three dimensional finite-element modeling of blood flow in elastic vessels: effects of arterial geometry and elasticity on aneurysm growth and rupture”, Master thesis, Ryerson University, Toronto, Canada, (2010).
  5. 5) Canstein C. et al., “3D MR flow analysis in realistic rapid‐prototyping model systems of the thoracic aorta: comparison with in vivo data and computational fluid dynamics in identical vessel geometries”, Magnetic Resonance in Medicine: An Official Journal of the International Society for Magnetic Resonance in Medicine, 59(3): 535-546, (2008).
  6. 6) Van Pelt R., Nguyen H., Ter Haar Romeny B., Vilanova A., “Automated segmentation of blood-flow regions in large thoracic arteries using 3D-cine PC-MRI measurements”, International journal of computer assisted radiology and surgery, 7(2): 217-224, (2012).
  7. 7) Howe G., “Multiphysics simulation of a coronary artery”, Master thesis, Faculty of California Polytechnic State University, San Luis Obispo, (2013).
  8. 8) Secomb T. W., “Hemodynamics”, Comprehensive physiology, 6(2): 975-1003, (2011).

Ayrıntılar

Birincil Dil

İngilizce

Konular

Mühendislik

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

1 Aralık 2020

Gönderilme Tarihi

6 Eylül 2019

Kabul Tarihi

7 Aralık 2019

Yayımlandığı Sayı

Yıl 2020 Cilt: 23 Sayı: 4

Kaynak Göster

APA
Aydin, L., Kucuk, S., & Cakir, O. (2020). Patient Specific Cardiovascular Disease Modelling Based on the Computational Fluid Dynamics Simulations: Segmentation and Hemodynamic Model of a Thoracic Artery. Politeknik Dergisi, 23(4), 1213-1218. https://doi.org/10.2339/politeknik.616293
AMA
1.Aydin L, Kucuk S, Cakir O. Patient Specific Cardiovascular Disease Modelling Based on the Computational Fluid Dynamics Simulations: Segmentation and Hemodynamic Model of a Thoracic Artery. Politeknik Dergisi. 2020;23(4):1213-1218. doi:10.2339/politeknik.616293
Chicago
Aydin, Levent, Serdar Kucuk, ve Ozgur Cakir. 2020. “Patient Specific Cardiovascular Disease Modelling Based on the Computational Fluid Dynamics Simulations: Segmentation and Hemodynamic Model of a Thoracic Artery”. Politeknik Dergisi 23 (4): 1213-18. https://doi.org/10.2339/politeknik.616293.
EndNote
Aydin L, Kucuk S, Cakir O (01 Aralık 2020) Patient Specific Cardiovascular Disease Modelling Based on the Computational Fluid Dynamics Simulations: Segmentation and Hemodynamic Model of a Thoracic Artery. Politeknik Dergisi 23 4 1213–1218.
IEEE
[1]L. Aydin, S. Kucuk, ve O. Cakir, “Patient Specific Cardiovascular Disease Modelling Based on the Computational Fluid Dynamics Simulations: Segmentation and Hemodynamic Model of a Thoracic Artery”, Politeknik Dergisi, c. 23, sy 4, ss. 1213–1218, Ara. 2020, doi: 10.2339/politeknik.616293.
ISNAD
Aydin, Levent - Kucuk, Serdar - Cakir, Ozgur. “Patient Specific Cardiovascular Disease Modelling Based on the Computational Fluid Dynamics Simulations: Segmentation and Hemodynamic Model of a Thoracic Artery”. Politeknik Dergisi 23/4 (01 Aralık 2020): 1213-1218. https://doi.org/10.2339/politeknik.616293.
JAMA
1.Aydin L, Kucuk S, Cakir O. Patient Specific Cardiovascular Disease Modelling Based on the Computational Fluid Dynamics Simulations: Segmentation and Hemodynamic Model of a Thoracic Artery. Politeknik Dergisi. 2020;23:1213–1218.
MLA
Aydin, Levent, vd. “Patient Specific Cardiovascular Disease Modelling Based on the Computational Fluid Dynamics Simulations: Segmentation and Hemodynamic Model of a Thoracic Artery”. Politeknik Dergisi, c. 23, sy 4, Aralık 2020, ss. 1213-8, doi:10.2339/politeknik.616293.
Vancouver
1.Levent Aydin, Serdar Kucuk, Ozgur Cakir. Patient Specific Cardiovascular Disease Modelling Based on the Computational Fluid Dynamics Simulations: Segmentation and Hemodynamic Model of a Thoracic Artery. Politeknik Dergisi. 01 Aralık 2020;23(4):1213-8. doi:10.2339/politeknik.616293

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