MICCAI 2013 Workshop on
Computational Diffusion MRI
Call for Papers
Over the last decade interest in diffusion MRI has exploded. The technique provides a unique insight into the microstructure of living 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 manifestation of physiological processes in normal tissue functioning. 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, 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, modeling and model fitting, image processing, fiber tracking, connectivity mapping, visualization, group studies and inference. The workshop will give a snapshot of the current state of the art.
- June 5th, 2013 (23:59 PST):
- Paper Submission
- July 2nd, 2013:
- Notification of Acceptance
- July 30th, 2013:
- Camera-Ready Papers
- September 22nd, 2013:
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
- Group studies and statistical analysis
- Clinical applications
Papers accepted at the main conference may not be double-submitted to CDMRI'13.
CDMRI'13 also provides a forum for papers on, and live demos of, open source software packages that support the
complex diffusion MRI processing pipeline. These papers do not have to be anonymized. We encourage submitting a full paper on software tools. These papers will go through normal peer review process to ensure quality. We can also accept a one page abstract but that will not be part of the final proceeding.
This year CDMRI'13 will include a model fitting challenge, in which groups are invited to find the best diffusion model to describe a very rich data set, which has already been acquired at UCL. Full details of the challenge, as well as access to the data, will be available on the challenge website.
The workshop proceedings will be published by Springer as part of their Mathematics and Visualization series.
- Denis Le Bihan
- NeuroSpin, France
- Susumu Mori
- Johns Hopkins University, USA
- Paper Presentations:
- 8-12 oral presentations with ample time for questions; a few
posters may be accepted.