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 …
A state-of-the-art review on coronary artery border segmentation algorithms for intravascular ultrasound (IVUS) images
P Arora, P Singh, A Girdhar, R Vijayvergiya - … Engineering and Technology, 2023 - Springer
Intravascular Ultrasound images (IVUS) is a useful guide for medical practitioners to identify
the vascular status of coronary arteries in human beings. IVUS is a unique intracoronary …
the vascular status of coronary arteries in human beings. IVUS is a unique intracoronary …
Privileged modality distillation for vessel border detection in intracoronary imaging
Intracoronary imaging is a crucial imaging technology in coronary disease diagnosis as it
visualizes the internal tissue morphologies of coronary arteries. Vessel border detection in …
visualizes the internal tissue morphologies of coronary arteries. Vessel border detection in …
A mechanical approach for smooth surface fitting to delineate vessel walls in optical coherence tomography images
ML Olender, LS Athanasiou… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Automated analysis of vascular imaging techniques is limited by the inability to precisely
determine arterial borders. Intravascular optical coherence tomography (OCT) offers …
determine arterial borders. Intravascular optical coherence tomography (OCT) offers …
Automated stent coverage analysis in intravascular OCT (IVOCT) image volumes using a support vector machine and mesh growing
Absence of vascular-stent tissue coverage by IVOCT is a biomarker for potential stent-
related thrombosis. We developed highly-automated algorithms to classify covered and …
related thrombosis. We developed highly-automated algorithms to classify covered and …
Computational cardiology
L Athanasiou, FR Nezami… - IEEE journal of …, 2018 - ieeexplore.ieee.org
Computational cardiology is the scientific field devoted to the development of methodologies
that enhance our mechanistic understanding, diagnosis and treatment of cardiovascular …
that enhance our mechanistic understanding, diagnosis and treatment of cardiovascular …
Automatic segmentation of optical coherence tomography pullbacks of coronary arteries treated with bioresorbable vascular scaffolds: Application to hemodynamics …
Background/Objectives Automatic algorithms for stent struts segmentation in optical
coherence tomography (OCT) images of coronary arteries have been developed over the …
coherence tomography (OCT) images of coronary arteries have been developed over the …
Automatic lumen segmentation in intravascular optical coherence tomography using morphological features
Lumen segmentation in intravascular optical coherence tomography (IVOCT) images is a
fundamental work for more advanced plaque analysis, stent recognition, fractional flow …
fundamental work for more advanced plaque analysis, stent recognition, fractional flow …
Automatic lumen segmentation using uniqueness of vascular connected region for intravascular optical coherence tomography
F Zhu, Z Ding, K Tao, Q Li, H Kuang… - Journal of …, 2021 - Wiley Online Library
We present an automatic lumen segmentation method using uniqueness of connected
region for intravascular optical coherence tomography (IVOCT), which can effectively …
region for intravascular optical coherence tomography (IVOCT), which can effectively …
A novel automated lumen segmentation and classification algorithm for detection of irregular protrusion after stents deployment
Background Clinically, irregular protrusions and blockages after stent deployment can lead
to significant adverse outcomes such as thrombotic reocclusion or restenosis. In this study …
to significant adverse outcomes such as thrombotic reocclusion or restenosis. In this study …