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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).

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