Advances in diagnosis, therapy, and prognosis of coronary artery disease powered by deep learning algorithms
Percutaneous coronary intervention has been a standard treatment strategy for patients with
coronary artery disease with continuous ebullient progress in technology and techniques …
coronary artery disease with continuous ebullient progress in technology and techniques …
Automated coronary optical coherence tomography feature extraction with application to three-dimensional reconstruction
Coronary optical coherence tomography (OCT) is an intravascular, near-infrared light-based
imaging modality capable of reaching axial resolutions of 10–20 µm. This resolution allows …
imaging modality capable of reaching axial resolutions of 10–20 µm. This resolution allows …
[HTML][HTML] Optical flow ratio for assessing stenting result and physiological significance of residual disease: OFR in predicting post-PCI FFR
D Ding, W Yu, H Tauzin, G De Maria, P Wu… - …, 2021 - ncbi.nlm.nih.gov
Background Optical flow ratio (OFR) is a novel method for fast computation of fractional flow
reserve (FFR) from optical coherence tomography (OCT) images. Aims We aimed to …
reserve (FFR) from optical coherence tomography (OCT) images. Aims We aimed to …
[HTML][HTML] Diagnostic accuracy of optical flow ratio: an individual patient-data meta-analysis
Background Optical flow ratio (OFR) is a novel method for the fast computation of fractional
flow reserve (FFR) from optical coherence tomography. Aims We aimed to evaluate the …
flow reserve (FFR) from optical coherence tomography. Aims We aimed to evaluate the …
Reciprocal assistance of intravascular imaging in three-dimensional stent reconstruction: Using cross-modal translation based on disentanglement representation
Background Accurate and efficient 3-dimension (3D) reconstruction of coronary stents in
intravascular imaging of optical coherence tomography (OCT) or intravascular ultrasound …
intravascular imaging of optical coherence tomography (OCT) or intravascular ultrasound …
Towards a deep-learning approach for prediction of fractional flow reserve from optical coherence tomography
Cardiovascular disease (CVD) is the number one cause of death worldwide, and coronary
artery disease (CAD) is the most prevalent CVD, accounting for 42% of these deaths. In view …
artery disease (CAD) is the most prevalent CVD, accounting for 42% of these deaths. In view …
Analysis methods of coronary artery intravascular images: A review
Coronary artery disease is among one of the diseases human suffer most. Intravascular
coronary arterial image analysis consists of denoising, segmentation, detection, and three …
coronary arterial image analysis consists of denoising, segmentation, detection, and three …
Stent detection with very thick tissue coverage in intravascular OCT
Coronary stenting or percutaneous coronary intervention (PCI) is widely used to treat
coronary artery disease. Improper deployment of stents may lead to post-PCI complication …
coronary artery disease. Improper deployment of stents may lead to post-PCI complication …
Hemodynamic alternations following stent deployment and post-dilation in a heavily calcified coronary artery: In silico and ex-vivo approaches
In this work, hemodynamic alterations in a patient-specific, heavily calcified coronary artery
following stent deployment and post-dilations are quantified using in silico and ex-vivo …
following stent deployment and post-dilations are quantified using in silico and ex-vivo …
Computational Analysis of Intravascular OCT Images for Future Clinical Support: A Comprehensive Review
Over the past two decades, intravascular optical coherence tomography (IVOCT) has
emerged as a promising tool for planning percutaneous coronary interventions (PCI) …
emerged as a promising tool for planning percutaneous coronary interventions (PCI) …