Biomedical Imaging Technologies for Cardiovascular Disease - Volume II

© 2022 by the authors; CC BY-NC-ND license

embolization; vascular plug; coils; cost analysis; transjugular intrahepatic portosystemic shunt (TIPS); direct intrahepatic portosystemic shunt (DIPS); 3D fusion imaging; portal vein puncture; complications; repaired tetralogy of fallot; magnetic resonance imaging; 4D-flow MRI; heart hemodynamics; turbulent kinetic energy; four-dimensional computed tomography; transcatheter pulmonary valve replacement; cardiac catheterization; 4D dynamic segmentation; landing zone; cardiac computed tomography (CCT); cardiovascular (CV) risk; coronary artery calcium (CAC) score; epicardial adipose tissue (EAT); coronary atherosclerosis; structural heart interventions; cardiac computed tomography; TAVI; MitraClip; Triclip; left appendage occlusion; mitral valve; minimally invasive cardiac surgery; mitral annular calcification; Barlow’s disease; mitral valve repair; mitral valve replacement; mitral valve prolapse; cardiac rupture; cardiac magnetic resonance; late gadolinium enhancement; atrial fibrillation; ventricular tachycardia; ablation; fibrosis; electroanatomical mapping; translational echocardiography; multidisciplinary cardiology; multidisciplinary echocardiography; comparative cardiology; comparative echocardiography; translational research; disease model; dissection; 4D flow MRI; flow; aorta; type B aortic dissection; imaging; quantitative imaging; computed tomography angiography; peripheral arterial disease; dual-energy computed tomography; digital scanned projection radiography; dual energy; image reconstructions; autosomal dominant polycystic kidney disease; left ventricular hypertrophy; heart rate variability; cardiovascular risk; flow-mediated dilation; carotid intima–media thickness; pulse wave velocity; explainable artificial intelligence; coronary artery disease; Myocardial Perfusion Imaging; Polar Maps; deep learning; preterm neonates; dexamethasone; echocardiograms; chronic lung disease; cardiac performance; pulmonary vascular resistance; fuzzy cognitive maps; particle swarm optimization; convolutional neural networks; classification; feature selection; Grad-CAM; coronary artery disease; natural language processing; epicardial adipose tissue; pericardial adipose tissue; cardiac magnetic resonance; atrial fibrillation; machine learning; takotsubo; 123I-mIBG; 123I-BMIPP; 18F-FDG PET; cardiac nuclear imaging; TTC; myocardial perfusion scintigraphy; n/a