Aug 2026· Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi· Vol 43 4, pp.
751-759
· 0 citations
Medicine
TL;DR
The results indicate that the combination of machine learning-based three-dimensional reconstruction and hemodynamic analysis can help compensate for the limitations of conventional CT imaging in functional assessment, providing a numerical simulation basis for the noninvasive functional evaluation of coronary artery stenosis.
PURPOSE
Coronary diagnostic indices-fractional flow reserve (FFR) and coronary flow reserve (CFR)-disagree in up to 30% of cases, complicating diagnosis and revascularization decisions. Microvascular health likely drives this discordance, but its isolated effect is challenging to quantify in vivo and is often confounde...
Tej Jolly, Arnav Garcha, Noelia Grande Gutiérrez· Annals of Biomedical Enginee...· 0 citations
Accurate hemodynamic assessment is of significant clinical value in the diagnosis, prognosis, and treatment planning of cardiovascular and cerebrovascular diseases. However, obtaining noninvasive, rapid, and high-fidelity hemodynamic information remains challenging. Invasive measurements carry risks, numerical simulati...
Zhuo Li, Yao Zeng, Meng-Fei Wang et al.· IEEE journal of biomedical a...· 0 citations
Clinical decision-making for coronary intervention relies mainly on angiography and fractional flow reserve (FFR). However, angiography is two-dimensional and lacks depth information for 3D lesion characterization, while FFR provides only a single functional index, offering limited hemodynamic insight. Among existing m...
Xi Chen, Jian-Chuan Yang, Hong-De Li et al.· 0 citations
A deep learning-based super-resolution framework that integrates multi-scale feature extraction and attention mechanisms to enhance the quality of 4D flow MRI data and support the use of deep learning to extend the clinical utility of 4D flow MRI for non-invasive hemodynamic assessment.
Objectives To validate two computational fluid dynamics (CFD) models derived from computed tomography angiography (CTA) for estimating trans-stenotic pressure gradients, using invasive intra-arterial pressure measurements as the reference standard in patients with renal artery stenosis (RAS). Background We assessed whe...
T. Bouwmeester, D. Collard, I. Zijlstra et al.· medRxiv· 0 citations
Patient-specific hemodynamic assessment is pivotal for optimizing treatment strategies in cerebrovascular interventions; however, conventional modalities are often limited by restricted clinical accessibility or prolonged acquisition times.
This study evaluates the previously developed Dr. NEAR flow (DNF), a...
J. Y. Kim, Wheesung Lee, Young-Lin Yoo et al.· Frontiers in Physiology· 0 citations
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