Sunday - 20th September (9.00 – 6.30 pm), Imperial College London, UK
Multiple Sclerosis is an inflammatory and demyelinating disease that exhibits regions with high demyelinating activity shown as focal lesions on MRI that usually affects young adults. Even in normal appearing brain tissues (NABT) there are alterations often not visible on conventional MRI sequences. While MRI has a low specificity for differentiating between possible pathological changes which could aid in discriminating between the different lesion types, it has a high sensitivity to detect focal and also widespread, diffuse pathology of the normal appearing white and grey matter. The objective of medical image analysis procedures is to define new neuroimaging biomarkers to track the evolution of the pathology from high dimensional data. This workshop will give an overview of new advances of medical image acquisition and analysis in Multiple Sclerosis.
Following this very successful 2008 edition, the main objective of the MIAMS workshop is to bring together researchers from the medical image analysis domain with radiologists and neurologists working in the field of in MS with the goal of developing neuroimaging biomarkers. These methods are key for a better understanding of the different stages of the disease, for a better modeling of the natural history of the pathology, and for efficacy studies in clinical trials.
We solicit papers that use methods of medical image analysis methods in the following domains:
Focal and diffuse lesion segmentation in
MS
Longitudinal data analysis in
MS
New
MRI sequences, molecular imaging, contrast agents in
MS
Quantitative Imaging in
MS (e.g. T2, T2*, MT, MRS, MRSI, Gado…)
Atrophy quantification in
MS
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New imaging modalities in
MS (e.g., PET)
Myelin imaging
Spinal cord Imaging
Grey matter lesion imaging and detection
Tissue segmentation
Imaging and histological correlation
Animal models and imaging
Submission Deadline : June 8th, 2009
Notification for acceptation: June 30th, 2009
Early bird registration: August 1st, 2009
Final version of papers: August 15th, 2009
Christian BARILLOT
Unit/Project VisAGeS - U746 INSERM/INRIA, IRISA, CNRS 6074, Univ. of Rennes1, Rennes, France
D. Louis COLLINS
McConnell Brain Imaging Center, Montreal Neurological Institute, QC, CANADA
Dr. Ponnada A. Narayana, “Quantitative
MRI for imaging biomarkers detection in
MS”, The University of Texas Health Science Center at Houston.
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9:00 - Welcome and registration
9:15 - Invited Tutorial I
10:30 - Coffee Break
11:00 - Session I: “Lesion Segmentation in MS“
12:30 - Lunch
14:00 - Session II: “ Image Processing in MS“
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15:00 - Nicolas GUIZARD, “Symmetric Optimization Scheme versus Constrained Symmetrization for Non-Linear Registrations”, Montreal Neurological Institute, McGill Univ. Montreal, QC, Canada
15:30 - Coffee Break
16:00 - Invited Tutorial II
17:00 - Session III: “Grey matter analysis in MS“
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17:30 - Christine TARDIF, “Quantitative Postmortem MR Imaging of cortical Multiple Sclerosis Lesions”, Montreal Neurological Institute, McGill Univ. Montreal, QC, Canada
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18:30 - Conclusion and Workshop Ends
Registration must be conducted through the official Miccai 2009 web site (
see the http://www.miccai2009.org/sex toys for details). Early bird registration has been extended to
August 15th
The final manuscript must be a 8 to 12 pages
pdf file in the LNCS format, complying with the instructions available in the Miccai 2009 web site (
see the Miccai-2009 submission web site for details)
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Jean-Paul Armspach, University Louis Pasteur, Strasbourg, France
Isabelle Berry, INSERM, Toulouse, France
James Gee, U. of Pennsylvania, Philadelphia, PA
Hayit Greenspan, Tel-Aviv University, Israel
Charles Guttmann, Harvard Medical School, Boston, MA
Ron Kikinis, Brigham and Women’s Hospital, Boston, MA
Grégoire Malandain, INRIA Sophia-Antipolis, France
Ponada Narayana, U. Houston, TX
Sridar Narayanan, U. Mc Gill, Montreal, Canada
Elisabetta Pagani, San Raffaele Scientific Institute, Milan, Italy
Marcel Prastawa, University of Utah, Salt Lake City, UT
Sylvain Prima, INRIA, Rennes, France
Jean-Philippe Ranjeva, CNRS, Marseille, France
François Rousseau, LSIIT-CNRS, Strasbourg, France
Koen Van Leemput,
MIT, Cambridge, MA
Simon K. Warfield, Harvard Medical School, Boston, MA