Analysis of errors in diffusion kurtosis imaging caused by slice crosstalk in simultaneous multi-slice imaging. NMR Biomed 2019 Nov;32(11):e4162
Date
08/07/2019Pubmed ID
31385637DOI
10.1002/nbm.4162Scopus ID
2-s2.0-85070715670 (requires institutional sign-in at Scopus site) 3 CitationsAbstract
Simultaneous multi-slice (SMS) imaging techniques accelerate diffusion MRI data acquisition. However, slice separation is imperfect and results in residual signal leakage between the simultaneously excited slices. The resulting consistent bias may adversely affect diffusion model parameter estimation. Although this bias is usually small and might not affect the simplified diffusion tensor model significantly, higher order diffusion models such as kurtosis are likely to be more susceptible to such effects. In this work, two SMS reconstruction techniques and an alternative acquisition approach were tested to quantify the effects of slice crosstalk on diffusion kurtosis parameters. In reconstruction, two popular slice separation algorithms, slice GRAPPA and split-slice GRAPPA, are evaluated to determine the effect of slice leakage on diffusion kurtosis metrics. For the alternative acquisition, the slice pairings were varied across diffusion weighted images such that the signal leakage does not come from the same overlapped slice for all diffusion encodings. Simulation results demonstrated the potential benefits of randomizing the slice pairings. However, various experimental factors confounded the advantages of slice pair randomization. In volunteer experiments, region-of-interest analyses found high metric errors with each of the SMS acquisitions and reconstructions in the brain white matter.
Author List
Olson DV, Nencka AS, Arpinar VE, Muftuler LTAuthors
Lutfi Tugan Muftuler PhD Professor in the Neurosurgery department at Medical College of WisconsinAndrew S. Nencka PhD Director, Associate Professor in the Radiology department at Medical College of Wisconsin
MESH terms used to index this publication - Major topics in bold
AdultAlgorithms
Anisotropy
Artifacts
Computer Simulation
Diffusion Magnetic Resonance Imaging
Humans
Image Processing, Computer-Assisted
Male
White Matter
