Precision Imaging

Clearer insights for development, diagnosis and treatment

Advancing patient care

Medical imaging gives us the ability to see within the living human body without a single incision, and is a market forecast to reach USD 76 billion by 2034 (1). Yet current technologies often lack resolution, do not always provide real-time data, and can require a trained human operator to interpret the complex results. Enhanced imaging technologies could advance care by providing insight at the scale on which biological processes occur, combining rich data sources to deliver both structural and functional information, capturing real-time data for surgical guidance, and harnessing AI to automatically detect diseases at earlier stages, when treatment is most effective. These technologies could benefit individual patients in the clinic, or accelerate research into new treatments and diagnostics. (1) https://www.gminsights.com/industry-analysis/medical-imaging-market

Pioneering new medical technologies

The QUT Centre for Biomedical Technologies is developing a range of biomaterials and associated technologies for application across wound healing, cancer, and musculoskeletal and cardiovascular disorders.

We discover, develop and deliver the next frontier of biomedical technologies for better patient treatment and quality of life.

Our solutions include:

  • patient-specific solutions for joint repair, bone healing, and orthopaedic implants

  • bio-adhesives that could repair cartilage injuries and prevent osteoarthritis

  • biocompatible surfaces for cardiac assist devices to improve skin/tissue integration and reduce infection risk

  • a natural wound-healing solution that reduces medical waste

  • cell-based therapies that actively repair joint tissues damaged by osteoarthritis

  • AI-driven imaging solutions that predict and optimise implant performance

  • 3D cell structures that mimic real tissue to allow drug screening and personalised cancer treatment.

Our researchers

Capability statement

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Case studies

3D-printed medical devices for bone regeneration – Prof Davide Fontanarosa
Next-generation mathematical models for brain imaging – Associate Professor Qianqian Yang
Advanced image-based modelling of joint biomechanics – Professor YuanTong Gu and Professor Peter Pivonka

Machine learning for image processing – Professor Clinton Fookes

Watch more videos with our researchers here.