Title | ||
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Stability and reproducibility of co-electrospun brain-mimicking phantoms for quality assurance of diffusion MRI sequences. |
Abstract | ||
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Grey and white matter mimicking phantoms are important for assessing variations in diffusion MR measures at a single time point and over an extended period of time. This work investigates the stability of brain-mimicking microfibre phantoms and reproducibility of their MR derived diffusion parameters. The microfibres were produced by co-electrospinning and characterized by scanning electron microscopy (SEM). Grey matter and white matter phantoms were constructed from random and aligned microfibres, respectively. MR data were acquired from these phantoms over a period of 33 months. SEM images revealed that only small changes in fibre microstructure occurred over 30 months. The coefficient of variation in MR measurements across all time-points was between 1.6% and 3.4% for MD across all phantoms and FA in white matter phantoms. This was within the limits expected for intra-scanner variability, thereby confirming phantom stability over 33 months. These specialised diffusion phantoms may be used in a clinical environment for intra and inter-site quality assurance purposes, and for validation of quantitative diffusion biomarkers. |
Year | DOI | Venue |
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2018 | 10.1016/j.neuroimage.2018.06.059 | NeuroImage |
Keywords | Field | DocType |
Diffusion MRI,Brain phantom,Hollow microfibres,Co-electrospinning,White matter phantom,Grey matter phantom | Biomedical engineering,Reproducibility,Diffusion MRI,Grey matter,White matter,Imaging phantom,Psychology,Cognitive psychology,Quality assurance | Journal |
Volume | ISSN | Citations |
181 | 1053-8119 | 0 |
PageRank | References | Authors |
0.34 | 3 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Matthew Grech-Sollars | 1 | 0 | 0.34 |
Feng-Lei Zhou | 2 | 3 | 1.55 |
Adam Waldman | 3 | 7 | 1.17 |
Geoffrey J. M. Parker | 4 | 444 | 39.62 |
Penny L. Hubbard Cristinacce | 5 | 0 | 0.34 |