Intracoronary optical coherence tomography 2018: current status and future directions

ZA Ali, K Karimi Galougahi, A Maehara… - JACC: Cardiovascular …, 2017 - jacc.org
The advent of intravascular imaging has been a significant advancement in visualization of
coronary arteries, particularly with optical coherence tomography (OCT) that allows for high …

Mesoscopic fluorescence lifetime imaging: Fundamental principles, clinical applications and future directions

A Alfonso‐Garcia, J Bec, B Weyers… - Journal of …, 2021 - Wiley Online Library
Fluorescence lifetime imaging (FLIm) is an optical spectroscopic imaging technique capable
of real‐time assessments of tissue properties in clinical settings. Label‐free FLIm is sensitive …

Automatic plaque detection in IVOCT pullbacks using convolutional neural networks

N Gessert, M Lutz, M Heyder, S Latus… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Coronary heart disease is a common cause of death despite being preventable. To treat the
underlying plaque deposits in the arterial walls, intravascular optical coherence tomography …

Coronary calcification segmentation in intravascular OCT images using deep learning: application to calcification scoring

Y Gharaibeh, D Prabhu, C Kolluru… - Journal of Medical …, 2019 - spiedigitallibrary.org
Major calcifications are of great concern when performing percutaneous coronary
interventions because they inhibit proper stent deployment. We created a comprehensive …

Fully automated plaque characterization in intravascular OCT images using hybrid convolutional and lumen morphology features

J Lee, D Prabhu, C Kolluru, Y Gharaibeh, VN Zimin… - Scientific reports, 2020 - nature.com
For intravascular OCT (IVOCT) images, we developed an automated atherosclerotic plaque
characterization method that used a hybrid learning approach, which combined deep …

A survey on coronary atherosclerotic plaque tissue characterization in intravascular optical coherence tomography

A Boi, AD Jamthikar, L Saba, D Gupta… - Current atherosclerosis …, 2018 - Springer
Abstract Purpose of Review Atherosclerotic plaque deposition within the coronary vessel
wall leads to arterial stenosis and severe catastrophic events over time. Identification of …

Characterization of coronary artery pathological formations from OCT imaging using deep learning

A Abdolmanafi, L Duong, N Dahdah, IR Adib… - Biomedical optics …, 2018 - opg.optica.org
Coronary artery disease is the number one health hazard leading to the pathological
formations in coronary artery tissues. In severe cases, they can lead to myocardial infarction …

Deep neural networks for A-line-based plaque classification in coronary intravascular optical coherence tomography images

C Kolluru, D Prabhu, Y Gharaibeh… - Journal of Medical …, 2018 - spiedigitallibrary.org
We develop neural-network-based methods for classifying plaque types in clinical
intravascular optical coherence tomography (IVOCT) images of coronary arteries. A single …

Segmentation of coronary calcified plaque in intravascular OCT images using a two-step deep learning approach

J Lee, Y Gharaibeh, C Kolluru, VN Zimin… - IEEE …, 2020 - ieeexplore.ieee.org
We developed a fully automated, two-step deep learning approach for characterizing
coronary calcified plaque in intravascular optical coherence tomography (IVOCT) images …

AI-Assisted In Situ Detection of Human Glioma Infiltration Using a Novel Computational Method for Optical Coherence Tomography

RM Juarez-Chambi, C Kut, JJ Rico-Jimenez… - Clinical Cancer …, 2019 - AACR
Purpose: In glioma surgery, it is critical to maximize tumor resection without compromising
adjacent noncancerous brain tissue. Optical coherence tomography (OCT) is a noninvasive …