Bram van Ginneken

The acquisition and reconstruction of MRI scans is performed by computers; the interpretation of the images is performed by humans. This lecture will explain how computerized image interpretation has evolved from rule-based approaches, to machine learning, to deep learning. We will show some recent examples of deep learning in MRI and argue that the paradigm that humans interpret medical images may change. 

Mariya Doneva

The signal model is the link between data acquisition and image reconstruction. Simple models are tempting, and in MR the Fourier model has been predominantly used because of its simplicity and efficiency.  However, this simple model ignores many things and is often insufficient. This lecture will give an overview of the modern techniques for model-based reconstruction that apply an extended signal model to better describe the data acquisition process.

Maxim Zaitsev

Established fields of studies tend to develop a certain routine of thinking, which evolves into traditions. As the time passes it may become difficult to see, which of the basic commonly accepted concepts are based on solid facts. This presentation discusses a number of established concepts in MR imaging with a goal of not giving answers but rather of inviting the audience to reconsider some of the basic, seemingly universal principles.

Kai Tobias Block

Most MRI software platforms have their origins in the early 1990s and have grown drastically in functionality over the years. Due to the breadth of features that were added, the platforms are increasingly difficult to use. Moreover, because of largely monolithic code design, it has become challenging to integrate novel MRI techniques. This talk will look at how microservices architectures could provide a potential solution, covering the application for image reconstruction, remote sequence calculation, and external devices control. Furthermore, it will be discussed how an open development model would revitalize the currently stagnating translation of research developments into clinical practice.