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Abstract #4550

SVD Eigenimage Based SENSE

Yu Li1, Feng Huang1, Wei Lin1, Charlie Saylor1, Arne Reykowski1

1Advanced Concept Development, Invivo Diagnostic Imaging, Gainesville, FL, USA

In this study, an eigenimage theory was developed for SENSE. Using singular value decomposition (SVD), the full FOV image can be reconstructed by summing several eigenimages weighted by some coefficients calculated from the eigenvalues of a sensitivity matrix. Based on this theory, a data-driven regularization technique was proposed to overcome the challenges of inaccurate sensitivity maps and noise amplification in SENSE reconstruction. This is a new technique that can offer simplicity and efficiency in SENSE g-factor control and artifact suppression.