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Abstract #1155

Marchenko-Pastur Virtual Coil Compression (MP-VCC)

Gregory Lemberskiy1, Jelle Veraart1, Benjamin Ades-aron1, Els Fieremans1, and Dmitry S Novikov1
1Radiology, NYU School of Medicine, New York, NY, United States

We propose a method of virtual coil compression using random matrix theory, MP-VCC, in which the Marchenko-Pastur distribution defines how many virtual coils may be discarded without loss beyond the PCA precision. MP-VCC is evaluated for partial Fourier, regular undersampling, and multiband acceleration.

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