Semi-Parametric Estimation in Magnetic Resonance Spectroscopy: Automation of the Disentanglement Procedure

Semi-parametric disentanglement of parametric parts from non-parametric parts of a signal is a universal problem. This study concerns estimation of metabolite concentrations from in vivo Magnetic Resonance Spectroscopy (MRS) signals. Due to in vivo conditions, so-called macro- molecules contribute n...

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Bibliographic Details
Main Authors: Rabeson, H., Ratiney, H., van Ormondt, D., Graveron-Demilly, D.
Format: Conference Proceeding
Language:English
Subjects:
Automation
Background noise
Estimation error
In vivo
Lipidomics
Magnetic resonance
Pollution measurement
Root mean square
Software packages
Spectroscopy
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Summary:Semi-parametric disentanglement of parametric parts from non-parametric parts of a signal is a universal problem. This study concerns estimation of metabolite concentrations from in vivo Magnetic Resonance Spectroscopy (MRS) signals. Due to in vivo conditions, so-called macro- molecules contribute non-parametric components to the signals. Disentanglement is achieved by exploiting prior knowledge about the parametric and non-parametric parts directly in the measurement domain. Moreover, Cramer-Rao bounds on the non-parametric part are derived. These expressions are used to automate the disentanglement procedure.
ISSN:1094-687X
1558-4615
DOI:10.1109/IEMBS.2007.4352377