Improved fMRI time-series registration using joint probability density priors

Roshni Bhagalia; Jeffrey A. Fessler; Boklye Kim; Charles R. Meyer

doi:10.1117/12.811421

27 March 2009 Improved fMRI time-series registration using joint probability density priors

Roshni Bhagalia, Jeffrey A. Fessler, Boklye Kim, Charles R. Meyer

Proceedings Volume 7259, Medical Imaging 2009: Image Processing; 72590J (2009) https://doi.org/10.1117/12.811421
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States

Abstract

Functional MRI (fMRI) time-series studies are plagued by varying degrees of subject head motion. Faithful head motion correction is essential to accurately detect brain activation using statistical analyses of these time-series. Mutual information (MI) based slice-to-volume (SV) registration is used for motion estimation when the rate of change of head position is large. SV registration accounts for head motion between slice acquisitions by estimating an independent rigid transformation for each slice in the time-series. Consequently each MI optimization uses intensity counts from a single time-series slice, making the algorithm susceptible to noise for low complexity endslices (i.e., slices near the top of the head scans). This work focuses on improving the accuracy of MI-based SV registration of end-slices by using joint probability density priors derived from registered high complexity centerslices (i.e., slices near the middle of the head scans). Results show that the use of such priors can significantly improve SV registration accuracy.

Citation Download Citation

Roshni Bhagalia, Jeffrey A. Fessler, Boklye Kim, and Charles R. Meyer "Improved fMRI time-series registration using joint probability density priors", Proc. SPIE 7259, Medical Imaging 2009: Image Processing, 72590J (27 March 2009); https://doi.org/10.1117/12.811421

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