RETROSPECTIVE DETECTION OF INTERLEAVED SLICE ACQUISITION PARAMETERS FROM FMRI DATA.

TitleRETROSPECTIVE DETECTION OF INTERLEAVED SLICE ACQUISITION PARAMETERS FROM FMRI DATA.
Publication TypeJournal Article
Year of Publication2014
AuthorsParker D, Rotival G, Laine A, Razlighi QR
JournalProc IEEE Int Symp Biomed Imaging
Volume2014
Pagination37-40
Date Published2014 Apr-May
ISSN1945-7928
Abstract

To minimize slice excitation leakage to adjacent slices, interleaved slice acquisition is nowadays performed regularly in fMRI scanners. In interleaved slice acquisition, the number of slices skipped between two consecutive slice acquisitions is often referred to as the 'interleave parameter'; the loss of this parameter can be catastrophic for the analysis of fMRI data. In this article we present a method to retrospectively detect the interleave parameter and the axis in which it is applied. Our method relies on the smoothness of the temporal-distance correlation function, which becomes disrupted along the axis on which interleaved slice acquisition is applied. We examined this method on simulated and real data in the presence of fMRI artifacts such as physiological noise, motion, etc. We also examined the reliability of this method in detecting different types of interleave parameters and demonstrated an accuracy of about 94% in more than 1000 real fMRI scans.

DOI10.1109/ISBI.2014.6867803
Alternate JournalProc IEEE Int Symp Biomed Imaging
PubMed ID26161244
PubMed Central IDPMC4494742
Grant ListK01 AG044467 / AG / NIA NIH HHS / United States
Related Institute: 
Brain Health Imaging Institute (BHII)

Weill Cornell Medicine
Department of Radiology
525 East 68th Street New York, NY 10065