CDMRI 2015 - 2015 WORKSHOP ON COMPUTATIONAL DIFFUSION MRI

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.
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'15. 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.