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ISMRM 23rd Annual Meeting & Exhibition • 30 May - 05 June 2015 • Toronto, Ontario, Canada |
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| Overview There is widespread acceptance that there is a wealth of data available in healthcare including genomics and proteomics. The problem is how to identify structure from these big datasets. This session will outline the complexities presented and the approaches to categorising and quantifying such datasets. Target Audience Clinicians and physicists who are use to dealing with more conventional MR datasets but need or desire to improve their skills at manipulating and interpreting "Big Data". Educational Objectives As a result of attending this course, participants should be able to: • Recognize the the potential clinical and scientific benefits of understanding big datasets; • Demonstrate clinical examples where big data analysis provides new insights; and • Identify specific examples and approaches to addressing big MR data. |
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| PROGRAM | ||||||||||
| Moderators: Benjamin M. Ellingson, Ph.D., James C. Gee, Ph.D. | ||||||||||
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