ESMRMB Podcast

In this special episode for Halloween 2023, Dr. Melanie Bauer tells us her journey in developing postmortem MRI techniques.

In this episode, Dr. Moss Zhao speaks with Dr. Georg Alexander Schramm about academic publishing and open access.

In this episode, Dr. Moss Zhao speaks with Dr. Hector Ramos about science podcasts in South America

In this episode, Hendrik Mattern talks with the current president of the ESMRMB, Benedikt Poser. During the interview they talk about Benedikt's vision for the society, the role of early careers in the ESMRMB, mentorship, work-life-balance, and the importance of saying no.

Magnetic Resonance Fingerprinting (MRF) is a quantitative MRI framework developed in 2013, with its paradigm-changing methodology first described in a milestone Nature paper, cited by thousands of works since then. 

In this episode, Constantin Slioussarenko had the chance to be joined by Dan Ma, who was at the origin of MRF, and Chaitra Badve, neuroradiologist who has led clinical translation of MRF for numerous clinical applications, to discuss the main advantages of MRF in the context of the clinic, as well as to touch upon the hurdles it is facing for broader clinical adoption and potential solutions.

Outline : 

0:00 Introduction

0:55 MRF overview

11:38 Clinical application and broader adoption

24:59 Solutions and areas of development

32:16 Closing

"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 environment might all help for a successful MRI scan with optimal patient experience. This episode is a conversation between Sanam Assili from ESMRMB and Christina Malamateniou from City, University of London. She discusses her work on how to make MRI accessible for autistic individuals.  There are many MRI studies exploring the anatomical and functional correlates to autism. However, the systematic review published by Christina et al., aims to summarise the different ways how to optimise an MRI scan for an autistic person without the use of sedation or anaesthesia. Her two recently published papers on this topic are available here: https://www.radiographyonline.com/article/S1078-8174(21)00124-3/fulltext https://pubmed.ncbi.nlm.nih.gov/34961364/ Outline: 00:00 Introduction 03:21 Autism friendly and routine clinical MRI 04:52 Challenges of autism friendly MRI 06:52 Special training  12:40 How to adjust MRI unit 17:05 Future of autism friendly MRI 

"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.youtube.com/watch?v=TitUKqnXXJw

Outline:

00:00 Introduction

01:23 Segmentation and reproducibility

05:58 Federated learning introduction

07:08 Legal / Data

15:40 Commercial

18:30 Dafne framework

28:40 About MRI together workshop

"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 is available here: https://www.sciencedirect.com/science/article/pii/S007965652100011X

Outline:

00:00 Introduction

01:38 What is silent MRI? 

04:27 Challenges to make it work with different scanners

09:21 Machine learning 

14:12 Silent MRI in clinic

 

In this special episode for ISMRM 2021, we spoke with members of Open Source Initiative for Perfusion Imaging (OSIPI) of the ISMRM Perfusion Study group.

You may find more information about OSIPI here: https://www.osipi.org/

In this special episode for World Cancer Day (4 February), we spoke with members of one of the largest glioma research groups in Europe. Members of this group share their events and opportunities for collaboration.

You may find more about Glioma MR Imaging 2.0 here: https://glimr.eu/