1. Evaluation of prospective motion correction of high-resolution 3D-T2-FLAIR acquisitions in epilepsy patients.
- Author
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Vos SB, Micallef C, Barkhof F, Hill A, Winston GP, Ourselin S, and Duncan JS
- Subjects
- Adolescent, Adult, Aged, Artifacts, Brain pathology, Epilepsy pathology, Female, Humans, Image Interpretation, Computer-Assisted, Image Processing, Computer-Assisted, Male, Middle Aged, Signal-To-Noise Ratio, Young Adult, Brain diagnostic imaging, Epilepsy diagnostic imaging, Image Enhancement methods, Magnetic Resonance Imaging methods
- Abstract
T2-FLAIR is the single most sensitive MRI contrast to detect lesions underlying focal epilepsies but 3D sequences used to obtain isotropic high-resolution images are susceptible to motion artefacts. Prospective motion correction (PMC) - demonstrated to improve 3D-T1 image quality in a pediatric population - was applied to high-resolution 3D-T2-FLAIR scans in adult epilepsy patients to evaluate its clinical benefit. Coronal 3D-T2-FLAIR scans were acquired with a 1mm isotropic resolution on a 3T MRI scanner. Two expert neuroradiologists reviewed 40 scans without PMC and 40 with navigator-based PMC. Visual assessment addressed six criteria of image quality (resolution, SNR, WM-GM contrast, intensity homogeneity, lesion conspicuity, diagnostic confidence) on a seven-point Likert scale (from non-diagnostic to outstanding). SNR was also objectively quantified within the white matter. PMC scans had near-identical scores on the criteria of image quality to non-PMC scans, with the notable exception that intensity homogeneity was generally worse. Using PMC, the percentage of scans with bad image quality was substantially lower than without PMC (3.25% vs. 12.5%) on the other five criteria. Quantitative SNR estimates revealed that PMC and non-PMC had no significant difference in SNR (P=0.07). Application of prospective motion correction to 3D-T2-FLAIR sequences decreased the percentage of low-quality scans, reducing the number of scans that need to be repeated to obtain clinically useful data., (Copyright © 2018 The Authors. Published by Elsevier Masson SAS.. All rights reserved.)
- Published
- 2018
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