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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