Quantitative Image and Data Analysis
Geoffrey J.M. Parker, Mark Jenkinson, Paul S. Tofts, Organizers

Saturday, 6 May and Sunday, 7 May


Overview:
This two-day course will provide an introduction to the range of quantitative image and data analysis methods currently applied to MR data. It will cover the impact of analysis techniques on the interpretation and quantification of their data, as well as provide a broad foundation in analysis methodology. Both basic and advanced methodologies will be covered, with demonstrated applications to most body areas.

Educational Objectives:
Upon completion of this course, participants should be able to:
• Describe the methods used for visualization and basic statistical analysis of quantitative MR parameters;
• Identify sources of image/data artifact and be able to select and apply methods for artifact reduction;
• Describe the principals of image registration, segmentation, and volume measurement, and be able to select and use appropriate software implementations of them;
• Describe the methods available for quantitative motion and flow measurement;
• Describe methods for time series analysis as applied to dynamic contrast enhanced imaging and functional MRI;
• Explain the basics of quantitative analysis of MR spectra;
• Explain the basics of quantitative MR elastographic imaging; and
• Evaluate the impact of quantitative analysis methodology on their research interests.

Audience Description:
This course is designed for anyone with a clinical or basic science MRI background who has been, or will be, involved in either analyzing MR data or designing methods for acquiring accurate quantitative data for scientific research. A typical individual may have a good working knowledge of clinical or MR principles, but no background in data analysis expertise is assumed. This is especially suitable for those early in their career, including students, who wish to gain a foundation in data analysis methods for MR.