Quantification of Resonances in Magnetic Resonance Spectra via Principal Component Analysis and Hankel Total Least Squares
نویسندگان
چکیده
A careful comparison between the Principal Component Analysis (PCA) and the Hankel Total Least Squares (HTLS) based methods for estimating the resonances in sets of MR spectra is presented. After a description of the methods and their relationships, we compare their performance on simulated data sets of Magnetic Resonance Spectroscopy (MRS) signals and discuss their advantages and limitations. Keywords— Quantification, Magnetic Resonance Spectroscopy, Principal Component Analysis, Total Least Squares, Singular Value Decomposition
منابع مشابه
Quanti cation of Resonances in Magnetic Resonance Spectra via Principal Component Analysis and Hankel Total Least Squares
A careful comparison between the Principal Component Analysis (PCA) and the Hankel Total Least Squares (HTLS) based methods for estimating the resonances in sets of MR spectra is presented. After a description of the methods and their relationships , we compare their performance on simulated data sets of Magnetic Resonance Spec-troscopy (MRS) signals and discuss their advantages and limitations.
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