Description:

MRI in Radiation Therapy: What’s all the noise? (It’s not just the gradients)
Darby Erler, MRT(T), MHSc and Professional Leaders, Radiation Therapy, Sunnybrook Odette Cancer Cetnre

The superior soft-tissue contrast of Magnetic Resonance Imaging (MRI) has prompted radiation therapy (RT) departments globally to invest in MRI simulators (MRSIM) and integrated MR-Linacs (MRL). This session aims to enhance the attendee’s knowledge of how MRI is increasingly used in the RT treatment pathway as well as how practice differs from diagnostic imaging. The workflows of both MRSIM and MRL will be reviewed with clinical examples to demonstrate the unique considerations of MR in RT. Published evidence will be examined to explore the benefit of MR in RT. The session will conclude with a brief explanation of the regulation of MR in RT.

Objectives:

• Describe how MR has been integrated into RT pathways
• Recognize the benefits of integrating MR into RT pathways
• Identify ways that MR in RT practice differs from traditional diagnostic imaging

AI Enhanced MRI for Early Detection Of Brain Tumours

Ifeadilachi Christiana Iweadinobi, MRI Technologist, Shared Health Manitoba

Artificial intelligence (AI) is changing the landscape of imaging quickly – with AI powered magnetic resonance imaging (MRI) showing potential, in detecting brain tumors early on. This analysis looks into how radiologic technologists roles are evolving within AI focused workflows.

Objectives:

• Grasp of the latest trends and challenges in AI enhanced imaging of the brain.
• Understand their responsibilities for optimal patient care while embracing AI integrated MR Imaging for brain tumours.