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.
Disease model computational fluid dynamics cardiovascular disease thoracic artery aneurysm
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.
disease model computational fluid dynamics cardiovascular disease thoracic artery aneurysm
Birincil Dil | İngilizce |
---|---|
Konular | Mühendislik |
Bölüm | Araştırma Makalesi |
Yazarlar | |
Yayımlanma Tarihi | 1 Aralık 2020 |
Gönderilme Tarihi | 6 Eylül 2019 |
Yayımlandığı Sayı | Yıl 2020 Cilt: 23 Sayı: 4 |
Bu eser Creative Commons Atıf-AynıLisanslaPaylaş 4.0 Uluslararası ile lisanslanmıştır.