Sammanfattning

Proton magnetic resonance spectroscopy (MRS) is used to determine the concentration of metabolites in organic tissues, or to study metabolic changes in a non-invasive way. The complex-valued magnetic resonance spectroscopy signals are assumed to be disturbed by additive white noise. The distributional properties of the stochastic noise are studied. A statistical model for the magnitude and phase of the Fourier transformed magnetic resonance spectroscopy signal is introduced. Maximum likelihood estimators of the distributional parameters of this model are derived and asymptotic properties such as consistency, asymptotic normality and efficiency of the estimators are verified. A simulation study is used to test the findings and the model is tested on magnetic resonance spectroscopy data from a spectroscopy phantom and human brain data.

Nyckelord

magnetic resonance spectroscopy; maximum likelihood estimation; Rice distribution; phase modeling

Publicerad i

Rapport / Sveriges lantbruksuniversitet, Institutionen för skogsekonomi
2012, nummer: 135
ISBN: 978-91-576-9108-8
Utgivare: Institutionen för Skogsekonomi, Sveriges lantbruksuniversitet

SLU författare

• Löthgren, Pia

  • Institutionen för skogsekonomi, Sveriges lantbruksuniversitet
    

UKÄ forskningsämne

Annan medicinteknik
Sannolikhetsteori och statistik


Permanent länk till denna sida (URI)

https://res.slu.se/id/publ/79124