Meeting Banner
Abstract #3349

Automatic Selection of Artifact Components Via Residual K0 Phase

Andrew T. Curtis1, Ravi S. Menon1

1Medical Biophysics, University of Western Ontario, London, Ontario, Canada

With the popular development of multi-channel, form fitting receive coils used in fMRI acquisitions, compromises in the EPI image reconstruction process result in a non-zero residual zero-order phase of a complex valued fMRI time-series. This phase is sensitive to residual motion and artifacts. It is proposed to use this signal as a reference to identity and remove artifact components in ICA based filtering.

Keywords

acquisition address almost approaches artifact asymmetric automated automatic avoids axial basis become becoming best bias biophysics bold brain capture channel classifiable classifier close coil coils combined common complex compliment complimentary component components compromises confound confounding corrected correction correlation courses covering dataset decomposition dedicated detect deviation diagram drive ensuring entirely equally error examination examining exemplar extracting features field filtering fitting form framework frequency functional future global identification illustrated illustrates implicit important independent instance integrated involve knowledge least localized made magnitude major make many maps medical motion navigator norm novel oblique observation pipeline place powerful practice primary problem process processed processes prominent promising promotes propose quality receiver reconstructing reconstruction regularized related removal removed residual resolution respiration respiratory response rigid robustness sample select selected selection series several slices smith sparsity spatial squares step strongly studies subject subsequent subsequently subtle summary susceptible suspect task temporal tool true type typically unwanted visual volume western wishes zero