Use of artificial intelligence in interpretation of cardiac ultrasound images and data
Center for Research on Heart Disease in Women. Professor Lasse Løvstakken and researcher Bjørnar Grenne from NTNU will present.
Program:
Bjørnar Grenne: Artificial intelligence in acquisition and analysis of ultrasound images
Lasse Løvstakken: The future of cardiac ultrasound imaging leverages machine learning and artificial intelligence
It is an exciting time for medical ultrasound imaging! Technological innovations based on machine learning and artificial intelligence are enabling higher-quality ultrasound images, new clinical metrics, and methods that streamline workflows and facilitate more consistent and comprehensive measurements.
We are pleased to welcome researchers Bjørnar Grenne and Lasse Løvstakken from the Center for Innovative Ultrasound Solutions (CIUS) at the Department of Circulation and Medical Imaging, NTNU, who will share insights from their research in this field.
Bjørnar Grenne is a researcher at the Department of Circulation and Medical Imaging, NTNU, and a senior consultant at the Department of Cardiology, St. Olavs Hospital. Since 2021, he has chaired the Echocardiography Working Group of the Norwegian Society of Cardiology. His research focuses on novel methods for ultrasound diagnostics, including the development and testing of AI-based technologies to improve the assessment and treatment of heart disease. He is the clinical lead for several studies involving both local and external collaborators. Since 2019, he has led the innovation project Artificial intelligence for automatic measurement of global and regional cardiac function, funded by Helse Midt-Norge. He collaborates closely with engineers at NTNU and SINTEF, and supervises several PhD candidates, research-track medical students, and master's students. Clinically, Grenne has expert competence in advanced ultrasound imaging for valvular disease, heart failure, coronary artery disease, and intraoperative and interventional echocardiography.
Lasse Løvstakken is a professor and head of the ultrasound research group at the Department of Circulation and Medical Imaging, NTNU. With a background in engineering and cybernetics, he has over 20 years of experience in research and development of medical ultrasound imaging technologies. His work has focused on methods for quantifying blood and tissue properties using ultrasound, and in recent years, on image analysis techniques based on machine learning. He has published 70 articles on various topics within ultrasound imaging.
The seminar is open to all interested.