Deep Learning-Based Carotid Artery Vessel Wall Segmentation in Black-Blood MRI Using Anatomical Priors [PDF]
arXiv, 2021 Carotid artery vessel wall thickness measurement is an essential step in the monitoring of patients with atherosclerosis. This requires accurate segmentation of the vessel wall, i.e., the region between an artery's lumen and outer wall, in black-blood magnetic resonance (MR) images.
arxiv
Computational hemodynamics in arteries with the one-dimensional augmented fluid-structure interaction system: viscoelastic parameters estimation and comparison with in-vivo data [PDF]
J. Biomech. 100 (2020) 109595, 2019 Mathematical models are widely recognized as a valuable tool for cardiovascular diagnosis and the study of circulatory diseases, especially to obtain data that require otherwise invasive measurements. To correctly simulate body hemodynamics, the viscoelastic properties of vessel walls are a key aspect to be taken into account as they play an essential ...
arxiv +1 more source
Outflow boundary conditions for 3D simulations of non-periodic blood flow and pressure fields in deformable arteries [PDF]
, 2010 The simulation of blood flow and pressure in arteries requires outflow boundary conditions that incorporate models of downstream domains. We previously described a coupled multidomain method to couple analytical models of the downstream domains with 3D ...
Figueroa, C. A. +3 more
core +5 more sources
Computational modeling of hypertensive growth in the human carotid artery [PDF]
, 2013 The final publication is available at Springer via http://dx.doi.org/10.1007/s00466-013-0959-zArterial hypertension is a chronic medical condition associated with an elevated blood pressure.
Kuhl, Ellen +3 more
core +2 more sources
The baroreceptor reflex emanating from the carotid sinus and common carotid artery of the sheep : a thesis presented in partial fulfilment of the requirements for the degree of Master of Science in Physiology at Massey University [PDF]
, 1987 The aim of this project was to improve understanding of the role of the common carotid arterial baroreceptor mechanism in controlling peripheral blood pressure in the sheep.
Ball, Karen T
core
Surface Metrology of Cerebral Arteries Luminal Surface [PDF]
arXiv, 2023 Atherosclerotic lesions within carotid and cerebral vessels are likely to influence hemodynamics and manifest into vascular pathologies, including Alzheimers Disease and ischemic stroke. Hemodynamics are influenced by changes in luminal diameter of vessels and wall shear stress derived from turbulence, which directly relates to the surface topography ...
arxiv
Assessment of carotid atherosclerotic disease using three-dimensional cardiovascular magnetic resonance vessel wall imaging: comparison with digital subtraction angiography. [PDF]
, 2020 BACKGROUND:A three-dimensional (3D) cardiovascular magnetic resonance (CMR) vessel wall imaging (VWI) technique based on 3D T1 weighted (T1w) Sampling Perfection with Application-optimized Contrast using different flip angle Evolutions (SPACE) has ...
Fan, Zhaoyang +6 more
core +1 more source
Fibulin-4 is essential for maintaining arterial wall integrity in conduit but not muscular arteries [PDF]
, 2017 Homozygous or compound heterozygous mutations in fibulin-4 (FBLN4) lead to autosomal recessive cutis laxa type 1B (ARCL1B), a multisystem disorder characterized by significant cardiovascular abnormalities, including abnormal elastin assembly, arterial ...
Broekelmann, Thomas J +5 more
core +3 more sources
Salivary cortisol is related to atherosclerosis of carotid arteries.
Journal of Clinical Endocrinology and Metabolism, 2008 BACKGROUND Dysregulation of the hypothalamic-pituitary-adrenal axis has been suggested as an independent risk factor for ischemic heart disease. The aim of our study was to evaluate whether two markers of the hypothalamic-pituitary-adrenal axis activity,
M. Dekker +9 more
semanticscholar +1 more source
Uncertainty-based quality assurance of carotid artery wall segmentation in black-blood MRI [PDF]
arXiv, 2023 The application of deep learning models to large-scale data sets requires means for automatic quality assurance. We have previously developed a fully automatic algorithm for carotid artery wall segmentation in black-blood MRI that we aim to apply to large-scale data sets.
arxiv