Alternative imaging technique and an automated image processing algorithm for the early detection of rheumatoid vasculitis

Project summary

The aim of the project is to evaluate the wall of the arteries at the front of the ankles with ultrasound. We will also use the images to create an artificial intelligence program to assist in identifying these changes.

You need to be 18 years and over and be diagnosed with rheumatoid arthritis.

Only one visit is required and there are multiple sites approved for the ultrasound.

Confidentiality will be maintained at all times.

Researchers

  • Professor Roy Cheung
  • Dr Stefania Penkala
  • Associate Professor Rosa Chan
  • Associate Professor Fredrick Joshua
  • Robyn Boman

Supervisor

What does participation in this research involve?

  • Signing a consent form
  • Ultrasound of both ankles/feet
  • Completing an online health survey
  • 30 minutes attendance time

More information

For further information, please contact Robyn Boman

Human Research Ethics Committee approval number: H14696