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

Abstract : 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.
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Conference papers
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https://hal.archives-ouvertes.fr/hal-01879427
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Submitted on : Sunday, September 23, 2018 - 10:51:55 PM
Last modification on : Wednesday, November 20, 2019 - 3:03:41 AM

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H. Rabeson, H. Ratiney, D. Ormondt, D. Graveron-Demilly. Semi-Parametric Estimation in Magnetic Resonance Spectroscopy: Automation of the Disentanglement Procedure. Proc. 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBS 2007, 2007, Unknown, Unknown Region. pp.662\textendash665, ⟨10.1109/IEMBS.2007.4352377⟩. ⟨hal-01879427⟩

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