MICCAI 2016 Workshop on
Computational Diffusion MRI


Call for Papers

Over the last decade interest in diffusion MRI has exploded. The technique provides unique measurements sensitive to the microstructure of biological tissue and enables in-vivo connectivity mapping of the brain. Microstructural changes are often the earliest signs of disease or tissue regeneration, as well as being a manifestation of physiological processes in normal tissue. Tractography and connectivity mapping give fundamental new insights in neuroscience and neuroanatomy. The variety of clinical applications is expanding rapidly and includes detection of lesions and damaged tissue, grading cancerous tumours, characterising muscle properties, prognosis of functional impairment and neurosurgical planning.

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 issues at each stage of the diffusion MRI pipeline: acquisition, reconstruction, modelling and model fitting, image processing, fibre tracking, connectivity mapping, visualisation, group studies and inference. The workshop will give a snapshot of the current state of the art.

We plan to publish the workshop proceedings with Springer. The proceedings of the 2013, 2014 and 2015 editions appeared as volumes in their Mathematics and Visualization series.


Athenaeum InterContinental Athens, Greece

Important Dates

August 19th, 2016:
Early Bird Registration
October 21st, 2016:

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
  • Tractography and connectivity mapping
  • Network analysis
  • Registration, segmentation, and classification
  • Multimodality modeling of diffusion and functional or genetic data
  • Visualisation
  • Validation
  • 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'16. The workshop also provides a forum for full-length papers on, and live demos of, software packages that support the complex diffusion MRI processing pipeline.

Invited Speakers

Kâmil Uğurbil
University of Minnesota, USA
Nikos Makris
Harvard Medical School, USA
Dmitry Novikov
New York University, USA


8-12 oral presentations with ample time for questions; 8-12 posters may be accepted.