MR spectroscopy quantitation: a review of time‐domain methods

<jats:title>Abstract</jats:title><jats:p>In this article an overview of time‐domain quantitation methods is given. Advantages of processing the data in the measurement domain are discussed. The basic underlying principles of the methods are outlined and from them the situations under which these algorithms perform well are derived. Also an overview of methods to preprocess the data is given. In that respect, signal‐to‐noise and/or resolution enhancement, the removal of unwanted components and corrections for model imperfections are discussed. Copyright © 2001 John Wiley & Sons, Ltd.<jats:def-list> <jats:title><jats:bold>Abbreviations used:</jats:bold></jats:title> <jats:def-item> <jats:term>ARMA</jats:term> <jats:def> <jats:p>autoregressive moving average</jats:p> </jats:def> </jats:def-item> <jats:def-item> <jats:term>ATP</jats:term> <jats:def> <jats:p>adenosine triphosphate</jats:p> </jats:def> </jats:def-item> <jats:def-item> <jats:term>EM</jats:term> <jats:def> <jats:p>expectation ‐ maximization</jats:p> </jats:def> </jats:def-item> <jats:def-item> <jats:term>FIR</jats:term> <jats:def> <jats:p>finite impulse response</jats:p> </jats:def> </jats:def-item> <jats:def-item> <jats:term>IQML</jats:term> <jats:def> <jats:p>iterative quadratic maximum likelihood method</jats:p> </jats:def> </jats:def-item> <jats:def-item> <jats:term>ML</jats:term> <jats:def> <jats:p>maximum likelihood</jats:p> </jats:def> </jats:def-item> <jats:def-item> <jats:term>MP</jats:term> <jats:def> <jats:p>matrix pencil</jats:p> </jats:def> </jats:def-item> <jats:def-item> <jats:term>NLLS</jats:term> <jats:def> <jats:p>nonlinear least squares</jats:p> </jats:def> </jats:def-item> <jats:def-item> <jats:term>PCA</jats:term> <jats:def> <jats:p>principal component analysis</jats:p> </jats:def> </jats:def-item> <jats:def-item> <jats:term>SVD</jats:term> <jats:def> <jats:p>singular value decomposition</jats:p> </jats:def> </jats:def-item> <jats:def-item> <jats:term>TLS</jats:term> <jats:def> <jats:p>total least squares.</jats:p> </jats:def> </jats:def-item> </jats:def-list></jats:p>