Non-Invasive Assessment of Coronary Microvascular Dysfunction Using Vascular Deformation-Based Flow Estimation

• Published in: IEEE transactions on biomedical engineering Vol. 71; no. 10; pp. 3000 - 3013
• Main Authors: Xue, Xiaofei, Deng, Dan, Zhang, Heye, Gao, Zhifan, Zhu, Ping, Hau, William Kongto, Zhang, Zhihui, Liu, Xiujian
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.10.2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Accuracy; Aged; Angiography; Blood flow; Blood vessels; Computational fluid dynamics; Computational modeling; Computed tomography; Computed Tomography Angiography - methods; Constraints; Coronary Angiography - methods; Coronary Artery Disease - diagnostic imaging; Coronary Artery Disease - physiopathology; Coronary Circulation - physiology; coronary computed tomography angiography; coronary microvascular dysfunction; Coronary Vessels - diagnostic imaging; Coronary Vessels - physiology; Coronary Vessels - physiopathology; Deformation; Estimation; Female; Humans; index of microcirculatory resistance; Inverse problems; Male; Mathematical models; Microcirculation - physiology; Microvasculature; Middle Aged; Models, Cardiovascular; Problem solving; Segments

Objective: Non-invasive computation of the index of microcirculatory resistance from coronary computed tomography angiography (CTA), referred to as IMR<inline-formula><tex-math notation="LaTeX">_\text{CT}</tex-math></inline-formula>, is a promising approach for quan...