We’ve moved!

Please visit us at our new site for the most up-to-date information: https://www.bccrc.ca/dept/io-programs/qurit/

Our Research

Cancer is a leading cause of death globally, and based on North American statistics, approximately half of the population will develop cancer during their lifetime. Here at the Quantitative Radiomolecular Imaging and Therapy (Qurit) lab and provincial program (pronounced Cure-It!), we aim to improve diagnosis and prognosis, and offer new radiotherapy alternatives that help save lives. We do this by quantifying how radiomolecules (radiopharmaceuticals), a combination of drugs and radioactive isotopes, precisely target cancer cells, in both imaging and therapy applications.

Our Team

We’re a multicultural team of scientists, researchers and programmers from disciplines such as physics, engineering and computer science. We are located at the BC Cancer Research Institute, in close connection with the clinical environment and having collaborations with researchers from other disciplines.

Join Us!

If you’re interested in applications of physics and technology to help cure cancer, and to familiarize yourself with techniques such as artificial intelligence (AI) and machine learning algorithms, we invite you to talk to us. We are continuously and actively recruiting students, postdocs, volunteers, interns, and visiting students from all around the world. If you are proactive and like to stay updated with the exciting pace of developments and applications in medical imaging and AI, you are probably a great fit for our team and we are for you!

Our Collaborators

We have collaborations with the industry, and some of our close partners include General Electric, Siemens, Microsoft and MIM. This gives our team members the opportunity to also gain skills that are valuable for translation of our methods to routine clinical practice.

In Partnership With

Recent Blog Posts

  • Generating RT Structs in Python with RT-UTILS
    Seventh post in a series of posts written by members of the Qurit Team. Written by Asim Shrestha. DICOM and RT Structures are the primary means in which medical images are stored. Because of this, it is important to be able to translate data in and out of RT Structs. Although there are well documented mechanisms […]
  • “On Growth, Success and Well-being in Academia”
    Presented by Arman Rahmim at UBC Physics & Astronomy Department Colloquium on November 5, 2020.
  • Our team’s partnership with Microsoft “AI for Health” team
    Our Qurit team has partnered with artificial intelligence (AI) experts at Microsoft’s “AI for Health” program, to move towards the next generation of cancer imaging and assessment. Read more about this exciting work!