Conveners
(DPMB) T3-8 Reconstructing MRI: From Machine Learning to Remote Machines | Reconstruction de l'IRM : de l'apprentissage automatique aux machines à distance (DPMB)
- Chary Rangacharyulu (Dept. of Physics and Engineering Physics, University of Saskatchewan)
Advances in medical imaging have ushered in an era of unprecedented data generation, presenting both opportunities and challenges for modern healthcare. We will explore how big data and machine learning are transforming the field of medical imaging—from accelerating diagnostics to enabling predictive and personalized medicine. Drawing on examples from radiology and multi-modal imaging...
Introduction: Intraoperative MRI (iMRI) 1,2 provides real-time imaging during surgery. This is crucial in neurosurgery for precise targeting and complete resection of tumours, reducing the risk of residual tissue and the need for repeat surgeries. For imaging, a radiofrequency (RF) coil must be placed around the head. For effective use in surgery, the top part of the coil should be easily...
In recent years low-field MRI technology has advanced to the point where it is possible to build a complete MRI using parts that total a few tens of thousands of dollars. But to make truly affordable and accessible MRI, a means to make, service and use the MRIs locally in the communities is needed. Local expertise is needed in addition to cheap parts. The first steps in creating that local...
