Water-unsuppressed MRSI acquisitions could obliviate the need for additional reference data sampling for signal quantification. We evaluated two methods for post-acquisition water signal removal in 1H-MRSI of the prostate. The method using Löwner Blind Source Separation for filtering the water signal outperformed the matrix-based Hankel Lanczos Singular Value Decomposition method. The two techniques were evaluated and compared against conventional water suppressed data acquisitions in 4 volunteers. The results demonstrate that post-acquisition water removal was successfully implemented in water-unsuppressed prostate MRS(I) data, and that the Löwner filter showed the best performance.
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