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The use of the harmonic median for fMRI signal intensity characterization

Boekbijdrage - Boekhoofdstuk Conferentiebijdrage

The problem of detecting significant brain activity upon stimulus in functional Magnetic Resonance Imaging (fMRI) data is tackled by a statistical data analysis for which the signal's amplitude is required. From literature, it is known that fMRI data follow a Rice distribution. Hence, for fMRI signal detection first the parameters of the Rice distribution need to be estimated. Different methods exist and each has their own pros and cons. In this paper, a novel estimation approach is presented in order to overcome the drawbacks of the existing methods. The proposed estimator is based on the harmonic median. Its performance is verified via a simulation experiment and compared with the state-of-the-art approaches.
Boek: MEMEA 2014, IEEE international symposium on Medical Measurement and its Applications
Pagina's: 319-323
Aantal pagina's: 5
ISBN:978-1-4799-2921-4
Jaar van publicatie:2014
Trefwoorden:functional Magnetic Resonance Imaging, Rice distribution, amplitude measurements, parameter estimation, harmonic median
  • VABB Id: c:vabb:388197
  • WoS Id: 000346747000060
  • Scopus Id: 84906910264