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Updated: Jul 10, 2026

Paramagnetic Relaxation Enhancement for Detecting and Characterizing Self-Associations of Intrinsically Disordered Proteins
Published on: September 23, 2021
Semi-parametric estimation in magnetic resonance spectroscopy: automation of the disentanglement procedure
H Rabeson1, H Ratiney, D van Ormondt
1Université de Lyon, Université Lyon 1, Laboratoire Creatis-LRMN, CNRS UMR 5220, INSERM U630, ESCPE, France. herald.rabeson@univ-lyon1.fr
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, Cramér-Rao bounds on the non-parametric part are derived. These expressions are used to automate the disentanglement procedure.
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