Hemodynamic modeling, medical imaging, and machine learning and their applications to cardiovascular interventions

M Kadem, L Garber, M Abdelkhalek… - IEEE Reviews in …, 2022 - ieeexplore.ieee.org
Cardiovascular disease is a deadly global health crisis that carries a substantial financial
burden. Innovative treatment and management of cardiovascular disease straddles …

Application of patient-specific computational fluid dynamics in coronary and intra-cardiac flow simulations: Challenges and opportunities

L Zhong, JM Zhang, B Su, RS Tan, JC Allen… - Frontiers in …, 2018 - frontiersin.org
The emergence of new cardiac diagnostics and therapeutics of the heart has given rise to
the challenging field of virtual design and testing of technologies in a patient-specific …

Deep learning-based image segmentation model using an MRI-based convolutional neural network for physiological evaluation of the heart

W Xu, J Shi, Y Lin, C Liu, W Xie, H Liu, S Huang… - Frontiers in …, 2023 - frontiersin.org
Background and Objective: Cardiovascular disease is a high-fatality health issue. Accurate
measurement of cardiovascular function depends on precise segmentation of physiological …

Fluid–structure interactions (FSI) based study of low-density lipoproteins (LDL) uptake in the left coronary artery

X Chen, J Zhuang, H Huang, Y Wu - Scientific reports, 2021 - nature.com
The purpose of this study is to compare the effect of the different physical factors on low-
density lipoproteins (LDL) accumulation from flowing blood to the arterial wall of the left …

Should fluid dynamics be included in computer models of RF cardiac ablation by irrigated-tip electrodes?

A González-Suárez, JJ Pérez, E Berjano - Biomedical engineering online, 2018 - Springer
Background Although accurate modeling of the thermal performance of irrigated-tip
electrodes in radiofrequency cardiac ablation requires the solution of a triple coupled …

SegNet-based left ventricular MRI segmentation for the diagnosis of cardiac hypertrophy and myocardial infarction

Z Yan, Y Su, H Sun, H Yu, W Ma, H Chi, H Cao… - Computer Methods and …, 2022 - Elsevier
Objective A set of cardiac MRI short-axis image dataset is constructed, and an automatic
segmentation based on an improved SegNet model is developed to evaluate its …

Clinical validation and assessment of aortic hemodynamics using computational fluid dynamics simulations from computed tomography angiography

Y Zhu, R Chen, YH Juan, H Li, J Wang, Z Yu… - Biomedical engineering …, 2018 - Springer
Background Hemodynamic information including peak systolic pressure (PSP) and peak
systolic velocity (PSV) carry an important role in evaluation and diagnosis of congenital …

Application of cascaded GAN based on CT scan in the diagnosis of aortic dissection

H Chen, S Yan, M Xie, J Huang - Computer Methods and Programs in …, 2022 - Elsevier
Abstract Purpose Currently, Computed Tomography Angiography (CTA) is the most
commonly used clinical method for the diagnosis of aortic dissection, which is much better …

[HTML][HTML] Application of deep learning-based CT texture analysis in TNM staging of gastric cancer

F Liu, Q Xie, Q Wang, X Li - Journal of Radiation Research and Applied …, 2023 - Elsevier
Objective To analyze the application of deep learning computed tomography (CT) texture
analysis in TNM staging of gastric cancer. Methods Use deep learning software networks to …

A flexible optoacoustic blood 'stethoscope'for noninvasive multiparametric cardiovascular monitoring

H Jin, Z Zheng, Z Cui, Y Jiang, G Chen, W Li… - Nature …, 2023 - nature.com
Quantitative and multiparametric blood analysis is of great clinical importance in
cardiovascular disease diagnosis. Although there are various methods to extract blood …