Coronary vessel detection methods for organ-mounted robots.
Eric T RasmussenEric C ShiaoLee ZoureliasMichael S HalbreinerMichael J PassineauSrinivas MuraliCameron N RivierePublished in: The international journal of medical robotics + computer assisted surgery : MRCAS (2021)
Through the use of two machine learning algorithms, HeartLander has shown the ability to identify different sized vasculature proximally above turbulent flow. These results indicate that it is feasible to use Doppler ultrasound to identify and avoid coronary vasculature during cardiac interventions using HeartLander.
Keyphrases
- machine learning
- coronary artery disease
- coronary artery
- artificial intelligence
- deep learning
- magnetic resonance imaging
- left ventricular
- physical activity
- big data
- aortic stenosis
- blood flow
- label free
- heart failure
- real time pcr
- ultrasound guided
- atrial fibrillation
- computed tomography
- ejection fraction
- transcatheter aortic valve replacement
- contrast enhanced ultrasound