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Joint Annual
Meeting ISMRM-ESMRMB 2014
○
10-16 May 2014
○
Milan, Italy |
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WEEKEND EDUCATIONAL COURSE |
|
Diffusion Goes
Mad |
| SKILL LEVEL:
Basic to Intermediate |
| ORGANIZERS:
Andrew L. Alexander, Ph.D. & Claudia A. Wheeler-Kingshott, Ph.D. |
| Saturday, 10 May 2014
(08:30 - 11:30) |
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| OVERVIEW |
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The “Diffusion goes mad” course
intends to experiment a new format of teaching and meeting the
teachers. The first three lectures will explore the basics of
diffusion imaging, from the diffusion tensor to more complex models
of tissue microstructure. Three subsequent lectures will explore
analysis of diffusion data, from simple single subject analysis to
group analysis. At the end of all lectures there will be a long slot
of time where teachers will stand by flipcharts distributed around
the room. With the help of one or two scientists, speakers will be
available to take questions in smaller groups. The aim is also to
have a couple of flipcharts per topic so that one can take
technical/theoretical questions while the other can be more
practical/clinical. |
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| TARGET AUDIENCE |
|
Physicists/technologists/clinicians who wish to understand the
basics and more advanced concepts of diffusion imaging from both the
acquisition and image processing point of view. |
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| EDUCATIONAL OBJECTIVES
As a result of attending this
course, participants should be able to: |
- Utilize the concepts of
diffusion weighted imaging (DWI) and diffusion tensor imaging
(DTI);
- Assess the limitations of
DTI and the need for non-Gaussian diffusion models;
- Utilize the concepts and
recognize the limitations of q-space imaging;
- Differentiate diffusion
approaches for characterizing tissue microstructure;
- Utilize the concepts of
distortion correction and image registration and relative
issues;
- Discuss group studies
approaches, both for cross-sectional and longitudinal cohorts;
and
- Select the appropriate
analysis method for their data.
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PROGRAM |
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Moderators: Andrew L. Alexander, Ph.D. & Claudia A. Wheeler-Kingshott,
Ph.D. |
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08:30 |
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From
Diffusion Weighting to the Diffusion Tensor Indices |
Gareth J. Barker, Ph.D. |
|
08:50 |
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Higher
Order Diffusion Models & Methods: Going Beyond the Diffusion
Tensor |
Noam Shemesh, Ph.D. |
|
09:10 |
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Q-Space
& Microstructure |
Daniel C. Alexander,
Ph.D. |
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09:30 |
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Break -
Meet the Teachers |
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09:50 |
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Single
Subject Diffusion Analysis: ROI, Histogram, Tractography |
Mara Cercignani, Ph.D. |
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10:10 |
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Group
Studies of Diffusion Data: Cross Sectional & Longitudinal
Challenges |
Stephen M. Smith, D.Phil. |
|
10:30 |
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Connectomics |
Patric Hagmann, M.D.,
Ph.D. |
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10:50 |
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Flip
Charts - Meet the Experts |
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11:30 |
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Closing
remarks/
Adjournment |
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11:30-11:45 Meet the Teachers |
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