Ingvild Kinn Ekroll

Ingvild Kinn Ekroll is an Associate Professor in the Department of Circulation and Medical Imaging at the Norwegian University of Science and Technology (NTNU), affiliated with the Faculty of Medicine and Health Sciences. She specializes in biomedical imaging technologies, particularly Doppler ultrasound and blood flow analysis. Her research focuses on developing advanced signal processing methods and frameworks for medical imaging applications, including adaptive clutter filtering, vector velocity estimation, and ultrasound simulation tools like the FLUST framework.

Dr. Ekroll holds a doctoral degree from NTNU (2020), where she explored improving flow detection in Doppler ultrasound for medical and oil and gas applications. Her work bridges engineering and clinical needs, with contributions to high-resolution vascular imaging, 3D coronary flow visualization, and simultaneous vessel wall-motion analysis. She collaborates extensively with institutions like NTNU’s AHL-senteret (Prinsesse Kristinas gate 3, Øya) and international teams in France, Belgium, and the Netherlands.

Her research interests encompass adaptive signal processing, medical imaging algorithms, and the translation of imaging techniques into clinical practice. Key themes include low-velocity blood flow quantification, real-time imaging systems, and the application of high-frequency ultrasound in small-animal models. Her publications span journals like IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control and Computer Methods and Programs in Biomedicine, emphasizing both theoretical advancements and practical clinical validation.

Dr. Ekroll’s work has led to innovations such as the tapered vector Doppler technique and the development of 2D tracking Doppler methods. She also investigates photochemical internalization in bladder cancer models and the integration of ultrafast imaging with shear wave analysis. Her research group actively explores challenges in vascular imaging accuracy, clutter reduction, and multi-angle plane wave imaging for improved diagnostic capabilities.