Abstract #3955

Denoising of MR Spectroscopic Imaging Data Using Statistical Selection of Principal Components (SSPC)

Abas Abdoli¹, Radka Stoyanova², and Andrew A. Maudsley¹

¹Radiology, University of Miami, Miami, FL, United States, ²Radiation Oncology, University of Miami, Miami, FL, United States

In this study we evaluate a new principal components analysis (PCA) based denoising method for volumetric MRSI data that employs a statistical test for the selection of the significant noise-free principle components (PCs).

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.