MR spectroscopy quantitation: a review of time‐domain methods

Abstract

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. Abbreviations used: ARMA autoregressive moving average ATP adenosine triphosphate EM expectation ‐ maximization FIR finite impulse response IQML iterative quadratic maximum likelihood method ML maximum likelihood MP matrix pencil NLLS nonlinear least squares PCA principal component analysis SVD singular value decomposition TLS total least squares.