Consideration of Cerebrospinal Fluid Intensity Variation in Diffusion Weighted MRI.

Autor:	Hansen CB; Computer Science, Vanderbilt University, Nashville, TN, USA., Nath V; Computer Science, Vanderbilt University, Nashville, TN, USA., Hainline AE; Biostatistics, Vanderbilt University, Nashville, TN, USA., Schilling KG; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN USA., Parvathaneni P; Electrical Engineering, Vanderbilt University, Nashville, TN, USA., Bayrak RG; Computer Science, Vanderbilt University, Nashville, TN, USA., Blaber JA; Electrical Engineering, Vanderbilt University, Nashville, TN, USA., Williams O; National Institutes of Health, Bethesda, MD., Resnick S; National Institutes of Health, Bethesda, MD., Beason-Held L; National Institutes of Health, Bethesda, MD., Irfanoglu O; National Institute of Biomedical Imaging and Bioengineering, Bethesda MD USA., Pierpaoli C; National Institute of Biomedical Imaging and Bioengineering, Bethesda MD USA., Anderson AW; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN USA.; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN USA., Rogers BP; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN USA.; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN USA., Landman BA; Computer Science, Vanderbilt University, Nashville, TN, USA.; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN USA.; Electrical Engineering, Vanderbilt University, Nashville, TN, USA.; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN USA.
Jazyk:	angličtina
Zdroj:	Proceedings of SPIE--the International Society for Optical Engineering [Proc SPIE Int Soc Opt Eng] 2019 Mar; Vol. 10948.
DOI:	10.1117/12.2512949
Abstrakt:	Diffusion weighted MRI (DW-MRI) depends on accurate quantification signal intensities that reflect directional apparent diffusion coefficients (ADC). Signal drift and fluctuations during imaging can cause systematic non-linearities that manifest as ADC changes if not corrected. Here, we present a case study on a large longitudinal dataset of typical diffusion tensor imaging. We investigate observed variation in the cerebral spinal fluid (CSF) regions of the brain, which should represent compartments with isotropic diffusivity. The study contains 3949 DW-MRI acquisitions of the human brain with 918 subjects and 542 with repeated scan sessions. We provide an analysis of the inter-scan, inter-session, and intra-session variation and an analysis of the associations with the applied diffusion gradient directions. We investigate a hypothesis that CSF models could be used in lieu of an interspersed minimally diffusion-weighted image (b0) correction. Variation in CSF signal is not largely attributable to within-scan dynamic anatomical changes (3.6%), but rather has substantial variation across scan sessions (10.6%) and increased variation across individuals (26.6%). Unfortunately, CSF intensity is not solely explained by a main drift model or a gradient model, but rather has statistically significant associations with both possible explanations. Further exploration is necessary for CSF drift to be used as an effective harmonization technique.
Databáze:	MEDLINE
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