Meeting Banner
Abstract #2232

Fast lipid removal with multi-scale auto-alignment in full-FOV MRSI.

Peter Adany1, In-Young Choi1,2, and Phil Lee1,3
1Hoglund Biomedical Imaging Center, University of Kansas Medical Center, Kansas City, KS, United States, 2Department of Neurology, University of Kansas Medical Center, Kansas City, KS, United States, 3Department of Radiology, University of Kansas Medical Center, Kansas City, KS, United States

The availability of robust lipid signal removal methods for whole slab MRSI opens up the possibility to measure signals from the edge of the brain, including cortical regions. We have developed a Fast LIpid signal Processing (FLIP) algorithm that effectively removes subcutaneous lipid signals. Recently, we have further developed our FLIP method to include a novel multi-scale auto-alignment feature at a sub-millimeter scale. This study demonstrates that the new alignment algorithm enables the detection of subtle displacement of subject head positions between scans and significantly improves the performance of lipid removal in full-FOV MRSI.

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.

Keywords