Abstract #2303

A local SAR compression algorithm with improved compression, speed and flexibility

Stephan Orzada¹, Thomas M. Fiedler¹, Harald H. Quick^2,3, and Mark E. Ladd^1,2,4,5

¹Medical Physics in Radiology (E020), German Cancer Research Center (DKFZ), Heidelberg, Germany, ²Erwin L. Hahn Institute for MRI, University Duisburg-Essen, Essen, Germany, ³High-Field and Hybrid MR Imaging, University Hospital Essen, Essen, Germany, ⁴Faculty of Physics and Astronomy, University of Heidelberg, Heidelberg, Germany, ⁵Faculty of Medicine, University of Heidelberg, Heidelberg, Germany

For parallel transmit systems, control of local SAR is very important to ensure safety. For pulse calculation and online supervision, compression of the SAR matrices is used to reduce calculation effort. The original clustering method by Eichfelder et al. was later outperformed by a method proposed by Lee et al. We propose an enhancement to Lee’s algorithm that further increases compression efficiency, speed and flexibility by iteratively reducing the overestimation.

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.