Call for Papers

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: acquisition, reconstruction, modelling and model fitting, image processing, fibre tracking, connectivity mapping, visualisation, group studies and inference. This full-day MICCAI 2017 workshop, now in the tenth edition, will give a snapshot of the current state of the art.

We will publish the workshop proceedings with Springer. The proceedings of the 2013–2016 editions appeared as volumes in their Mathematics and Visualization series.

Important dates

21 June 2017, 11:59pm PST Paper submission deadline (passed)
10 July 2017 (tentative) Notification of acceptance
17 July 2017 (tentative) Camera-ready paper submission
28 August 2017 (tentative) Poster power pitch slides
10 September 2017 Workshop
at Québec City Convention Centre, Canada

Workshop topics

Full-length papers are invited in (but not limited to) the following areas:

  • Acquisition protocol design
  • High angular resolution and general q-space sampling techniques
  • Biophysical models
  • Numerical simulation of diffusion process
  • Tissue microstructure imaging
  • Diffusion spectroscopy
  • Tractography and connectivity mapping
  • Machine learning and deep neural networks
  • Registration, segmentation and classification
  • Multimodality modelling of diffusion and functional or genetic data
  • Visualisation
  • Validation
  • Data post-processing
  • Group studies and statistical analysis
  • Clinical applications
  • Diffusion imaging outside the brain
Papers accepted at the main conference may not be double-submitted to CDMRI'17. The workshop also provides a forum for full-length papers on, and live demos of, software packages that support the complex pipeline of diffusion MRI processing.


This workshop will host the Diffusion MRI Data Harmonisation challenge.