Shows
ESMRMB PodcastEpisode 8 - Autism Friendly MRI"Autism is part of neurodiversity; it is neither a disorder, nor a disease"
This is vital as autistic people might have an MRI scan for common clinical concerns, like headaches or low back pains, or for monitoring of epilepsy, often a comorbidity of autism, but also may participate in MRI studies.
Making the scans autism friendly means addressing the preferences and needs of autistic people by using reasonable adjustments. Communication before, during and after scan is essential, environmental adjustments such as reducing noise or ensuring the examination table is comfortable, offering music as a distraction and ensuring prior familiarisation with...2022-04-1721 minESMRMB PodcastEpisode 7 - AI: Data, Reproducibility, and Federated Learning"Reproducibility and Federated Learning"
Deep learning methods are becoming increasingly popular in medical image analysis. Their performance, however, heavily depends on availability, diversity, and quality of the data.
In this episode, Sanam Assili and Egor Panfilov discuss with Francesco Santini current issues in medical image segmentation, federated learning as a promising solution, and recently introduced open source Dafne framework.
Dafne is a joint effort by the University of Basel, the Basel University Hospital, and the Mondino Foundation, more information is available here: https://dafne.network/
Dafne Tutorial - Introduction: https://www...2021-11-2729 min
ESMRMB PodcastEpisode 6 - Silent MRI"Silence Is Golden"
MRI doesn’t have to be noisy. The Zero Echo Time sequence is naturally quiet, but is yet to breakthrough into mainstream use.
This episode is a conversation between Sanam Assili from ESMRMB and Tobias Wood from King’s College London. He discusses his work on making Silent MRI useful for clinicians, in collaboration with GE Healthcare.
A video illustrating how quiet the sequence is can be found here: https://www.youtube.com/watch?v=tSxBokkF2s0
And a recent review paper from the KCL group on this topic...2021-05-2616 min