Enhancing Liver MRI Diagnostics through Advanced 7T Imaging and Recurrent Inference Machine Technology

In this project, we aim to revolutionize liver MRI scans using advanced technology. Our focus is on utilizing a powerful 7T MRI scanner, which provides clearer and more detailed images than traditional MRI machines. We will be applying a cutting-edge technique called the Recurrent Inference Machine (RIM) to process these images. This method, developed by experts at UMC Amsterdam, uses sophisticated algorithms to reconstruct high-quality images quickly and efficiently. By doing so, we expect to achieve faster and more accurate liver scans, which is particularly crucial for diagnosing and treating various liver conditions. The outcome of this research will not only enhance MRI technology but also has the potential to significantly improve patient care, thanks to faster and more reliable diagnoses.

Faculty Supervisor:

Michael Noseworthy;Wietske van der Zwaag;Matthan Caan

Student:

Partner:

St. Joseph's Healthcare Hamilton

Discipline:

Engineering

Sector:

Health and Related Sciences & Technology

University:

McMaster University

Program: