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Abstract #2834

The effects of cutting/zero-filling and linebroadening on quantification of magnetic resonance spectra via maximum-likelihood estimation

Karl Landheer1 and Christoph Juchem1,2
1Biomedical Engineering, Columbia University, New York City, NY, United States, 2Radiology, Columbia University, New York City, NY, United States

It has recently been recommended that typical preprocessing tools, such as linebroadening, zero-filling and apodization (cutting), generally be avoided prior to signal quantification via consensus. To date, little explanation has been provided against these tools which have become commonplace. Here we demonstrate via realistic Monte Carlo simulations that such preprocessing tools may reduce the precision of the extracted parameters and artificially reduce the Cramér-Rao Lower Bounds and provide a theoretical outline for why they should be avoided.

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