ESMRMB 2019
OCT. 3 – Oct. 5
Rotterdam/NL

Register now!

ESMRMB Congress Preview Webinars

This year ESMRMB has a very special offering for you in the lead up to ESMRMB 2019 in Rotterdam. To give you a taste of what is to come in Rotterdam between Oct 3-5 2019 we are offering three free webinars on the congress focus topics: Gadolinium-free Imaging, Efficient MR Imaging and Machine Learning.

The 30 minute webinars will take place over three consecutive weeks on Tuesdays at 5pm, starting on Tuesday 25th June. At the end of each session you will be able to get involved and have the opportunity to ask any questions that you may have.

We hope you can join us and begin to get as excited about ESMRMB 2019 as we are!

#1 Rapid musculoskeletal MRI for improved efficiency

Date: June 18, 2019
Starting time: 5pm (CEST)

Speaker: Edwin Oei, MD PhD
Moderator: Dr. Esther Warnert

Registration link: https://attendee.gotowebinar.com/register/220021471747011586

Short summary:

This webinar will start with a review of common clinical questions for musculoskeletal MR imaging, and the utility of particular MR pulse sequences to answer these questions. This will be followed by a presentation of various acceleration methods that are currently in use or being developed to enhance efficiency of musculoskeletal MRI. These techniques include parallel imaging, 3D isotropic imaging, compressed sensing, synthetic MR, and deep learning reconstruction algorithms.

Learning objectives:

  1. To understand why particular MR pulse sequences are utilized to answer common clinical questions;
  2. To explain basic technical challenges in musculoskeletal MR imaging;
  3. To learn about various techniques to accelerate musculoskeletal MRI examinations.

About the speaker:

Edwin Oei is a Musculoskeletal Radiologist and Associate Professor of Musculoskeletal Imaging at Erasmus MC, Rotterdam/NL. He is the Chair of the Local Organising Committee of the upcoming ESMRMB Annual Meeting in Rotterdam/NL, as well as the incoming Education Officer in the ESMRMB Executive Board.

#2 Arterial Spin Labelling: Technical Aspects and Application in Clinical Practice

Date: June 25, 2019
Starting time: 5pm (CEST)

Speakers: Prof. Marion Smits and Prof. Matthias van Osch

Registration link: https://attendee.gotowebinar.com/register/4282931341305369613

Short summary:

Arterial Spin Labeling (ASL) is a non-invasive MRI technique to measure cerebral blood flow (CBF) and other perfusion related parameters such as arterial transit time (ATT). At present, main areas of interest clinically are cerebrovascular disease, dementia and neuro-oncology. In this webinar, we will explain the technical background of ASL and focus on clinical application in dementia and brain tumours.

Learning objectives:

  1. To understand the basic principles of Arterial Spin Labeling (ASL) MRI
  2. To know how to obtain good quality ASL images for clinical practice
  3. To learn how to interpret ASL in patients with dementia
  4. To know how ASL compares to contrast-enhanced perfusion in brain tumours

About the speakers:

Marion Smits is Neuroradiologist and Professor of Applied Physiological Neuroimaging at Erasmus MC, Rotterdam/NL. She is the Vice President of ESMRMB and a strong advocate of the implementation of non-invasive physiological imaging techniques, such as ASL, in clinical practice.

Matthias van Osch is an MR physicist and Professor of Experimental Cerebrovascular Imaging at the Leiden University Medical Center, Leiden/NL. He is the Chair of the ESMRMB 2019 Scientific Programme Committee.

#3 Machine Learning Techniques

Date: July 2, 2019
Starting time: 5pm (CEST)

Speaker: Dr. Marleen de Bruijne
Moderator: Dr. Esther Warnert

Registration link: https://attendee.gotowebinar.com/register/8518424953847615501

Short summary:

With recent machine learning techniques computers can now solve some image interpretation tasks as well as – or even better than – human experts. We will discuss the basic principles of machine learning and deep learning, have a look at recent successful  applications of machine learning in computer aided diagnosis and quantitative image analysis, and highlight challenges and potential pitfalls of the use of machine learning in clinical practice.

Learning objectives:

  1. To become familiar with the basic principles of machine learning techniques
  2. To learn about successful applications of machine learning in medical imaging
  3. To understand the requirements and limitations of machine learning

About the speaker:

Marleen de Bruijne is Associate Professor of Medical Image Analysis at Erasmus MC, Rotterdam/NL, and Professor of Machine Learning in Medical Imaging at the University of Copenhagen/DK. Her research is in machine learning for quantitative image analysis and computer aided diagnosis in different application areas.

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