Ali Salari, PhD
Convex array ultrasound imaging
Convex array ultrasound imaging
Project Title: Convex array ultrasound imaging
Group: Center for Fast Ultrasound Imaging
Supervisors: Jørgen Arendt Jensen
Project Description:
This project focuses on the development of advanced ultrasound imaging techniques aimed at achieving high-resolution, contrast-free imaging for clinical applications. The core of the project involves creating a processing pipeline for Super-Resolution Ultrasound Imaging using Erythrocytes (SURE), a method that uses natural red blood cells as contrast agents, thus bypassing the need for injected microbubbles. The research explores SURE’s application across multiple human studies utilizing convex and linear ultrasound arrays. Additionally, the project includes designing and implementing a novel beamformer for lensed Row-Column (RC) arrays to improve 3D imaging capabilities. The beamformer preserves the expanded field of view while improving resolution and contrast.
Perspective:
The advancements achieved in this project pave the way for faster, non-invasive diagnostic capabilities that could significantly enhance clinical workflows. In the future, integrating this high-resolution, contrast-free imaging technology with real-time processing algorithms could further reduce diagnostic time, making it ideal for emergency settings or routine screenings. Additionally, the development of a beamformer for lensed RC arrays overcomes the FOV limitations in Row-Column arrays, enabling a larger field of view suitable for 3D imaging of various organs.
About Ali
Ali received a B.Sc. degree in Electrical Engineering from Ferdowsi University in Mashhad, Iran, and an M.Sc. degree in Biomedical Engineering from Tarbiat Modares University in Tehran, Iran. He is currently pursuing a Ph.D. degree with the Center for Fast Ultrasound Imaging, Department of Health Technology, Technical University of Denmark. His research interests include signal processing, ultrasound imaging, beamforming, and 3D ultrasound imaging.