[Neuroimaging] MICCAI 2018 Workshop on Computational Diffusion MRI (CDMRI'18)

Farshid Sepehrband Farshid.Sepehrband at loni.usc.edu
Tue May 15 08:42:27 EDT 2018


CALL FOR PAPERS AND PARTICIPATION

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2018 MICCAI Workshop on Computational Diffusion MRI (CDMRI'18)
2018 MICCAI Multi-shell Diffusion MRI Harmonisation Challenge (MUSHAC)

When and Where: Thursday, September 20th 2018 – Granada, Spain

Websites:   http://cmic.cs.ucl.ac.uk/cdmri18<https://urldefense.proofpoint.com/v2/url?u=http-3A__cmic.cs.ucl.ac.uk_cdmri&d=DwMF-g&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=CDsCmZTvc7ZBlk6Athn6XjBnMBjF2Q4-Ibr7PpJgqjg&m=6pFK4ML9bYrphc4XWwcZ8YaGnRpZ3-KhPPCs_D4b-Lo&s=ibBfyJly5_T8SNa85yzc1r1jgiiH_IXoigSry9xvnig&e=>  (Workshop)
                   http://projects.iq.harvard.edu/cdmri2018/challenge<https://urldefense.proofpoint.com/v2/url?u=http-3A__projects.iq.harvard.edu_cdmri2018_challenge&d=DwMF-g&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=CDsCmZTvc7ZBlk6Athn6XjBnMBjF2Q4-Ibr7PpJgqjg&m=6pFK4ML9bYrphc4XWwcZ8YaGnRpZ3-KhPPCs_D4b-Lo&s=llLcLjHb1EnKS3IET9__LzpRxW2e9spAMa1zHMQnZg8&e=>  (Challenge)

Deadline for Paper Submission: Monday, July 2nd 2018
Deadline for Challenge Submissions: Monday, August 20th 2018


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Over the last two decades interest in diffusion MRI has exploded. This
non-invasive technique provides unique measurements sensitive to the
microstructure of living tissue and enables in-vivo 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 workshop, now in the eleventh edition, will give a
snapshot of the current state of the art. For further information please
visit the website: http://cmic.cs.ucl.ac.uk/cdmri18<https://urldefense.proofpoint.com/v2/url?u=http-3A__cmic.cs.ucl.ac.uk_cdmri18&d=DwMF-g&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=CDsCmZTvc7ZBlk6Athn6XjBnMBjF2Q4-Ibr7PpJgqjg&m=6pFK4ML9bYrphc4XWwcZ8YaGnRpZ3-KhPPCs_D4b-Lo&s=n5Hgm1bT0U1WpAmHOtviyRajPdEo7-5XcxE-Zob3U50&e=>

Part of this workshop is the "Multi-shell Diffusion MRI Harmonisation Challenge"
(MUSHAC), whose aim is the systematic evaluation of the performance of
algorithms that enable the harmonisation of multi-shell diffusion MRI data
across scanners. Harmonisation consists of making data sets
acquired with different scanners/protocols as comparable as possible,
and has become a pressing need in the era of Big Data. Combining data
from several scanners would increase dramatically the statistical power
and sensitivity of clinical studies, with obvious benefits in clinical
trials and multi-centre research. This challenge extends last year's challenge,
which only considered single-shell data, to advanced multi-shell experiments.
Registration to obtain the data is now open, the challenge deadline is
August the 20th 2018. More information can be found at the
website: https://projects.iq.harvard.edu/cdmri2018/challenge<https://urldefense.proofpoint.com/v2/url?u=https-3A__projects.iq.harvard.edu_cdmri2018_challenge&d=DwMF-g&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=CDsCmZTvc7ZBlk6Athn6XjBnMBjF2Q4-Ibr7PpJgqjg&m=6pFK4ML9bYrphc4XWwcZ8YaGnRpZ3-KhPPCs_D4b-Lo&s=wdrQVCLHAVDGoig1y4mQ7dnncUjoWbK8j8vC4Eoc-Co&e=>

We look forward to seeing you in Granada!


Nos vemos pronto!

Elisenda Bonet-Carne
Francesco Grussu
Lipeng Ning
Farshid Sepehrband
Chantal Tax
(CDMRI'18 Organising Committee, e-mail: cdmri18 at cs.ucl.ac.uk<mailto:cdmri18 at cs.ucl.ac.uk>)
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