Abstract #0685

Prediction of breathing related B0-field fluctuations via artificial neural networks trained on magnetic field monitoring data

Niklas Wehkamp¹, Frederik Testud ^1,2, Patrick Hucker¹, Stefan Kroboth¹, Benjamin Richard Knowles ^1,3, Jürgen Henning¹, and Maxim Zaitsev ¹

¹Department of Radiology - Medical Physics, Medical Center – University of Freiburg, Freiburg, Germany, ²Siemens Healthcare AB, Malmö, Sweden, ³German Cancer Research Center, Heidelberg, Germany

The presented approach utilizes artificial neural networks trained on magnetic field monitoring data in order to predict respiration induced B₀-field fluctuations in the brain under the condition of normal breathing. From the predicted B₀-field fluctuations it is possible to distinguish the respiration induced resonance offset from the resonance offsets induced by other sources during the course of the experiment. This allows for the quantification of breathing related B₀-field fluctuations in the brain of normally breathing healthy volunteers. Furthermore it was observed that the B₀-field fluctuations resulting from normal respiration show individual spatial dynamics for every volunteer.

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.