Christian Beaulieu, University of Alberta, Canada | Diffusion MRI Acquisition Considerations Beyond Gradient Directions and b-Value |
Wiro Niessen, Erasmus MC & Delft University of Technology, The Netherlands | Translating Diffusion MRI Quantitative Imaging Biomarkers to Clinical Practice: Potential and Challenges |
Daniel Topgaard, Lund University, Sweden | Multidimensional Diffusion MRI |
We are pleased to announce that the 2017 workshop proceedings have appeared as volume in Springer's Mathematics and Visualization series.
Over the last two decades interest in diffusion MRI has exploded. This noninvasive technique provides unique measurements sensitive to the microstructure of living tissue and enables connectivity mapping of the brain. As microscopic tissue alterations are often the earliest signs of disease or regeneration, the variety of clinical applications is expanding rapidly and includes detection of lesions and damaged tissue, grading of cancerous tumours, prognosis of functional impairment and neurosurgical planning. Moreover, fibre tractography gives fundamental new insights into connectional neuroanatomy.
Computational techniques are key to the continued success and development of diffusion MRI and to its widespread transfer into the clinic. New processing methods are essential for addressing challenges at each stage of the diffusion pipeline: data acquisition, image reconstruction, biophysical modelling and model fitting, tissue microstructure mapping, fibre tracking and connectivity mapping, machine learning and deep neural networks, visualisation, group studies and statistical inference. This full-day MICCAI 2017 workshop, now in the tenth edition, will give a snapshot of the current state of the art.
21 June 2017, 11:59pm PST | Paper submission deadline (passed) |
11 July 2017 | Notification of acceptance (done) |
20 July 2017 | Camera-ready paper submission (done) |
4 September 2017, 11:59pm PST | Challenge entry submission deadline (passed) |
10 September 2017 | Workshop at Québec City Convention Centre, Canada |
This workshop will host the Diffusion MRI Data Harmonisation challenge.