Forum 2: New Trends in Neuro
ISMRT Education Session
ORGANIZERS: Maila
Hughes, Petronella Samuels
Saturday, 10 May 2025
323AB
08:30 - 10:00
Moderators: Maila
Hughes & Petronella Samuels
Session Number: ISMRT-02
CE Credit
Session Number:
ISMRT-02
Overview
Transcranial MR-Guided Focused Ultrasound (MRgFUS): The How and Why? –
An introduction to the technology and concepts of transcranial MR-guided
Focused Ultrasound (MRgFUS), which uses MR imaging to guide
high-intensity focused ultrasound waves to precisely target and treat
tissues within the brain.
Technical details and practical insights regarding the use of
intracranial MRgFUS will be discussed, including the individual roles of
Magnetic Resonance Imaging (MRI) and Ultrasound (US).
Task-Based fMRI vs Resting State fMRI & the Correlation to
Intraoperative Direct Electrical Stimulation: This presentation explores
the evolving role of functional MRI in presurgical brain mapping,
beginning with an introduction to the clinical importance of mapping,
the fundamentals of task-based and resting-state fMRI, and the role of
direct electrical stimulation (DES) as a ground-truth method. We compare
task-based and resting-state approaches in terms of analytical methods,
acquisition strategies, and prevailing paradigms, questioning whether
conventional assumptions limit their potential.
The presentation then examines how both methods can be directly
compared, focusing on validation techniques used in recent imaging
neuroscience studies and considering alternative approaches. We assess
whether resting-state fMRI is ready for clinical application by
interpreting key findings, reviewing supporting literature, and
presenting insights from our own experience at KU Leuven. Finally, we
discuss future directions, including the potential of breaking away from
dominant paradigms and the promise of advanced acquisition techniques
like multi-echo fMRI.
State of AI in Brain Tumours, Diagnostics and Management: Deep learning
(DL) models, such as CNNs and transformers, improve diagnostic accuracy
by providing precise tumour boundary delineation, aiding in the
identification of tumour subregions. This enhances preoperative planning
and radiation therapy by improving surgical navigation, minimizing
radiation exposure, and contributing to better tumour control. DL models
also enable personalized treatment by tracking tumour progression and
integrating radiomics and molecular markers for predictive modelling.
Furthermore, AI could be integrated into low-resource settings through
cloud-based or edge models, improving access to glioma segmentation in
areas with limited trained specialists.
Target Audience
MRI Technologists and Radiographers.
Educational Objectives
As a result of attending this course, participants should be able to:
• Understand the fundamentals of MRgFUS and how it can be applied to
target and treat tissues within the brain;
• Recognize the importance of acquiring resting-state fMRI (rs-fMRI)
data whenever feasible for comprehensive brain function analysis; and
• Understand the role of deep learning (DL) models (such as CNNs and
transformers) in improving diagnostic accuracy.
|
08:30 |
|
MRI-Guided Focused Ultrasound
Chris Kokkinos
|
|
09:00 |
|
Task-Based fMRI vs Resting State fMRI & the Correlation to
Intraoperative Direct Electrical Stimulation
Ahmed Radwan
|
|
09:30 |
|
State of AI in Brain Tumours, Diagnostics & Management
Ugumba Kwikima
|
Back to Meeting Home
Back to the Program-at-a-Glance