Yüksek LisansAçık Erişim

Modeling and identification of culprit coronary arteries

Bu tez size mi ait?

Bu kayıt toplu arşivden geldi. Sizinse profilinize bağlayın.

2021
0 görüntülenme
0 i̇ndirme

Özet (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.

Yazar

Sibel Özbal

Bu Yayına Nasıl Atıf Yapılır

Sibel Özbal (Master Thesis). Modeling and identification of culprit coronary arteries, 2021, Yeditepe University.

Lisans

Tüm Hakları Saklıdır

Bu eser belirtilen lisans koşulları altında paylaşılmaktadır.

Yeditepe University tezlerinden daha fazlası