Effect of cerebral spinal fluid suppression for diffusional kurtosis imaging.

J Magn Reson Imaging

Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, New York 10016, USA.

Published: February 2013

AI Article Synopsis

  • The study investigates how the presence of cerebral spinal fluid (CSF) affects diffusional kurtosis imaging (DKI) metrics in both white and gray matter.
  • Four healthy volunteers underwent DKI and FLAIR DKI scans to compare diffusion tensor imaging (DTI) metrics and their corresponding kurtosis metrics.
  • Results indicate that while white matter metrics show minimal CSF contamination, gray matter metrics significantly differ due to CSF effects; however, kurtosis metrics remain relatively stable, suggesting they could be better indicators of tissue microstructure changes.

Article Abstract

Purpose: To evaluate the cerebral spinal fluid (CSF) partial volume effect on diffusional kurtosis imaging (DKI) metrics in white matter and cortical gray matter.

Materials And Methods: Four healthy volunteers participated in this study. Standard DKI and fluid-attenuated inversion recovery (FLAIR) DKI experiments were performed using a twice-refocused-spin-echo diffusion sequence. The conventional diffusion tensor imaging (DTI) metrics of fractional anisotropy (FA), mean, axial, and radial diffusivity (MD, D[symbol in text], D[symbol in text] together with DKI metrics of mean, axial, and radial kurtosis (MK, K[symbol in text], K[symbol in text], were measured and compared. Single image slices located above the lateral ventricles, with similar anatomical features for each subject, were selected to minimize the effect of CSF from the ventricles.

Results: In white matter, differences of less than 10% were observed between diffusion metrics measured with standard DKI and FLAIR-DKI sequences, suggesting minimal CSF contamination. For gray matter, conventional DTI metrics differed by 19% to 52%, reflecting significant CSF partial volume effects. Kurtosis metrics, however, changed by 11% or less, indicating greater robustness with respect to CSF contamination.

Conclusion: Kurtosis metrics are less sensitive to CSF partial voluming in cortical gray matter than conventional diffusion metrics. The kurtosis metrics may then be more specific indicators of changes in tissue microstructure, provided the effect sizes for the changes are comparable.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3538115PMC
http://dx.doi.org/10.1002/jmri.23840DOI Listing

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