Computational medical imaging and hemodynamics framework for functional analysis and assessment of cardiovascular structures.
Cardiac dysfunction constitutes common cardiovascular health issues in the society, and has been an investigation topic of strong focus by researchers in the medical imaging community. Diagnostic modalities based on echocardiography, magnetic resonance imaging, chest radiography and computed tomography are common techniques that provide cardiovascular structural information to diagnose heart defects. However, functional information of cardiovascular flow, which can in fact be used to support the diagnosis of many cardiovascular diseases with a myriad of hemodynamics performance indicators, remains unexplored to its full potential. Some of these indicators constitute important cardiac functional parameters affecting the cardiovascular abnormalities. With the advancement of computer technology that facilitates high speed computational fluid dynamics, the realization of a support diagnostic platform of hemodynamics quantification and analysis can be achieved. This article reviews the state-of-the-art medical imaging and high fidelity multi-physics computational analyses that together enable reconstruction of cardiovascular structures and hemodynamic flow patterns within them, such as of the left ventricle (LV) and carotid bifurcations. The combined medical imaging and hemodynamic analysis enables us to study the mechanisms of cardiovascular disease-causing dysfunctions, such as how (1) cardiomyopathy causes left ventricular remodeling and loss of contractility leading to heart failure, and (2) modeling of LV construction and simulation of intra-LV hemodynamics can enable us to determine the optimum procedure of surgical ventriculation to restore its contractility and health This combined medical imaging and hemodynamics framework can potentially extend medical knowledge of cardiovascular defects and associated hemodynamic behavior and their surgical restoration, by means of an integrated medical image diagnostics and hemodynamic performance analysis framework.
School of Medicine, University of Western Sydney, Campbelltown, Sydney, NSW, 2560, Australia. Kelvin.Wong@westernsydney.edu.au.|School of Medicine, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia. Kelvin.Wong@westernsydney.edu.au.
Kelvin K L
KK
Wong
Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong.
Defeng
D
Wang
Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong.
Jacky K L
JK
Ko
Centre for Biomedical Engineering and School of Electrical and Electronics Engineering, University of Adelaide, Adelaide, SA, 5005, Australia.
Jagannath
J
Mazumdar
National Heart Centre, Mistri Wing, 17 Third Hospital Avenue, Singapore, 168752, Singapore.
Thu-Thao
TT
Le
University 2020 Foundation, Northborough, MA, 01532, USA.
Dhanjoo
D
Ghista
D002318:Cardiovascular Diseases / Q000000981:diagnostic imaging / Q000473:pathology / Q000503:physiopathology; D002319:Cardiovascular System / Q000033:anatomy & histology* / Q000000981:diagnostic imaging* / Q000473:pathology; D003952:Diagnostic Imaging / Q000379:methods*; D006439:Hemodynamics; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008955:Models, Cardiovascular
Cardiovascular disease; Computer simulation; Hemodynamics performance indicators; Medical image reconstruction; Medical imaging