Abstract #3401

Automating Component Selection in Independent Component Analysis (ICA) in dynamic Oxygen-Enhanced MRI (dOE-MRI)

Annika Hofmann^1,2, Jennifer H.E. Baker³, Firas Moosvi⁴, and Stefan A Reinsberg²

¹Department of Physics, TU Dortmund University, Dortmund, Germany, ²Department of Physics & Astronomy, University of British Columbia, Vancouver, BC, Canada, ³Radiation Biology Unit, British Columbia Cancer Research Centre, Vancouver, BC, Canada, ⁴Department of Computer Science, Mathematics, Physics and Statistics, University of British Columbia, Kelowna, BC, Canada

Synopsis

Keywords: Quantitative Imaging, Cancer, Independent Component AnalysisUsing Independent Component Analysis (ICA) in dynamic Oxygen-Enhanced MRI has been shown to improve the sensitivity of this technique. However, the ICA component has to be identified manually by an observer. In this work we propose an optimization process that automatically determines the best number of components and extracts the component in best accordance to the target function of the breathing challenge.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.