Rapid automated lumen segmentation of coronary optical coherence tomography images followed by 3D reconstruction of coronary arteries.

Wei WuMerjulah Roby Akshat Banga Usama M OguzVinay Kumar GadamidiCharu Hasini VasaShijia ZhaoVineeth S DasariAnjani Kumar ThotaSartaj Tanweer Changkye LeeGhassan S KassabYiannis S Chatzizisis

Published in: Journal of medical imaging (Bellingham, Wash.) (2024)

The developed automated system provides an accurate, efficient, robust, and user-friendly platform for coronary lumen segmentation and reconstruction, which can pave the way for improved assessment of the coronary artery lumen morphology.

Keyphrases

coronary artery
deep learning
convolutional neural network
pulmonary artery
coronary artery disease
optical coherence tomography
high throughput
ultrasound guided
machine learning
left ventricular
mass spectrometry
single cell
pulmonary arterial hypertension