Rapid automated lumen segmentation of coronary optical coherence tomography images followed by 3D reconstruction of coronary arteries.
Wei WuMerjulah RobyAkshat BangaUsama M OguzVinay Kumar GadamidiCharu Hasini VasaShijia ZhaoVineeth S DasariAnjani Kumar ThotaSartaj TanweerChangkye LeeGhassan S KassabYiannis S ChatzizisisPublished 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
- high resolution
- heart failure
- mass spectrometry
- pulmonary arterial hypertension
- left ventricular
- pulmonary hypertension
- atrial fibrillation
- single cell
- ejection fraction