Title |
Image quality at synthetic brain magnetic resonance imaging in children
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Published in |
Pediatric Radiology, June 2017
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DOI | 10.1007/s00247-017-3913-y |
Pubmed ID | |
Authors |
So Mi Lee, Young Hun Choi, Jung-Eun Cheon, In-One Kim, Seung Hyun Cho, Won Hwa Kim, Hye Jung Kim, Hyun-Hae Cho, Sun-Kyoung You, Sook-Hyun Park, Moon Jung Hwang |
Abstract |
The clinical application of the multi-echo, multi-delay technique of synthetic magnetic resonance imaging (MRI) generates multiple sequences in a single acquisition but has mainly been used in adults. To evaluate the image quality of synthetic brain MR in children compared with that of conventional images. Twenty-nine children (median age: 6 years, range: 0-16 years) underwent synthetic and conventional imaging. Synthetic (T2-weighted, T1-weighted and fluid-attenuated inversion recovery [FLAIR]) images with settings matching those of the conventional images were generated. The overall image quality, gray/white matter differentiation, lesion conspicuity and image degradations were rated on a 5-point scale. The relative contrasts were assessed quantitatively and acquisition times for the two imaging techniques were compared. Synthetic images were inferior due to more pronounced image degradations; however, there were no significant differences for T1- and T2-weighted images in children <2 years old. The quality of T1- and T2-weighted images were within the diagnostically acceptable range. FLAIR images showed greatly reduced quality. Gray/white matter differentiation was comparable or better in synthetic T1- and T2-weighted images, but poorer in FLAIR images. There was no effect on lesion conspicuity. Synthetic images had equal or greater relative contrast. Acquisition time was approximately two-thirds of that for conventional sequences. Synthetic T1- and T2-weighted images were diagnostically acceptable, but synthetic FLAIR images were not. Lesion conspicuity and gray/white matter differentiation were comparable to conventional MRI. |
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Geographical breakdown
Country | Count | As % |
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Malaysia | 1 | 17% |
United States | 1 | 17% |
United Kingdom | 1 | 17% |
Unknown | 3 | 50% |
Demographic breakdown
Type | Count | As % |
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Practitioners (doctors, other healthcare professionals) | 3 | 50% |
Members of the public | 1 | 17% |
Science communicators (journalists, bloggers, editors) | 1 | 17% |
Scientists | 1 | 17% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 32 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 16% |
Other | 4 | 13% |
Student > Master | 4 | 13% |
Student > Bachelor | 3 | 9% |
Student > Doctoral Student | 3 | 9% |
Other | 6 | 19% |
Unknown | 7 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 9 | 28% |
Engineering | 4 | 13% |
Nursing and Health Professions | 3 | 9% |
Physics and Astronomy | 2 | 6% |
Neuroscience | 2 | 6% |
Other | 4 | 13% |
Unknown | 8 | 25% |