Modeling and identification of culprit coronary arteries
Is this your thesis?
This record came from a bulk archive import. If it’s yours, link it to your profile.
Abstract (EN)
Cardiovascular diseases are the leading causes of death in the world. Acute coronary syndromes are the categories of the cardiovascular disease group. In recent years, researches using non-invasive methods have been performed to prevent the increase in the mortality rate with early diagnosis. Cardiovascular system modeling with Lumped parameters comes first among these methods. In the lumped parameter model, coronary vessels are designed as an electrical circuit. In this study, patient-specific values were used and the patient-specific coronary artery tree model was developed using an electrical circuit model. The stenosis effect observed in acute coronary syndromes was applied on Lumped parameters and the change in blood pressure and blood flow was observed with graphics. The stenosis percentages were determined as 30, 60 and 90 and they were applied on only one point of the patient-specific coronary tree. When the graphics were examined, the change caused by the stenosis effect arteries could be observed more clearer on the right coronary compared to the left coronary arteries. In addition, it was aimed the identification of culprit coronary arteries according to the changes in the graphs.
Author
Sibel Özbal
How to Cite
Sibel Özbal (Master Thesis). Modeling and identification of culprit coronary arteries, 2021, Yeditepe University.
License
Tüm Hakları Saklıdır
This work is shared under the specified license terms.
More theses from Yeditepe University
- Studies on cyclodextrin complexation of a poorly water soluble anti-hyperlipidemic drug, tablet formulation and characterization(2021)
- Washington ambassadors in Turkish-US relations (1927-1960)(2023)
- Metamorphosis of female voices: A study of the violation of women in Greek and Roman mythology and feminist rewritings reclaiming the narrative(2022)
- Knowledge distillation with foundation models for image segmentation(2023)
- The relationship between machiavelism, grandiose and vulnerable narcissism, and loneliness among white collar workers(2023)
- Evaluation of drug-drug interaction checkers along clinically relevant adverse drug events in oncology and hematology pediatric patients(2023)