Diffusion modelling orals
The program to the diffusion modelling half of the workshop now links to all papers
Fiber Cup Program
The program for the fiber cup is now available click here
Full proceedings, including Fibre Cup entries are here
Fibre Cup data
Fibre cup data is up and can be downloaded right now. Please click here for the hosting site, and updated deadline and submission information.
Submission results
The results of the reviews of submissions have now been sent out. If you have had any trouble with your email
or have not received notification, the list of orals, posters and rejections is here
please upload your camera-ready copy by 11th August.
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.
Tractography and connectivity mapping give fundamental new insights in
neuroscience and neuroanatomy. This is a two-part workshop, covering computational
advances in Diffusion Imaging and tractography techniques.
Diffusion Modelling
The first part of this workshop builds on the success of last year's Computational
Diffusion MRI MICCAI workshop, which focused on advances in the computational
techniques that underpin and inform diffusion imaging.
Computational techniques are key to the continued success and development of
diffusion MRI and to its widespread transfer into the clinic. This workshop will focus
on the challenges at all stages of the diffusion MRI pipeline: acquisition, reconstruction,
modelling and model fitting, image processing, fibre tracking, connectivity mapping,
visualization, group studies and inference.
The Fibre Cup
The Fibre Cup targets the evaluation of reconstruction models and tractography algorithms
in diffusion MRI. The emergence of numerous models and fibre tracking techniques during the
last decade raises the urgent need for a comprehensive comparison of available methods on
a common ground truth dataset. To this end, we are building a MR phantom containing a
plethora of realistic crossing, kissing, splitting and bending fibre configurations to be
used as a ground truth dataset for method comparison. A DT-MRI and HARDI datasets will be
acquired and published on-line.
Participants to the contest will be asked to run their algorithms on the phantom dataset and
return their results along with a 2-page paper summarizing the method. Finally, tractography
results will be compared to the exact morphological parameters of the phantom (e.g., fibre
bundle length, curvature, or thickness) for quantitative evaluation. Winners of the contest
will be announced during the workshop. Data, important dates and contest rules will be made
available by the end of June on the DMFC'09 website.
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