2021
DOI: 10.1177/2473974x211055372
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Super‐resolution Reconstruction MRI Application in Fetal Neck Masses and Congenital High Airway Obstruction Syndrome

Abstract: Objective Reliable airway patency diagnosis in fetal tracheolaryngeal obstruction is crucial to select and plan ex utero intrapartum treatment (EXIT) surgery. We compared the clinical utility of magnetic resonance imaging (MRI) super-resolution reconstruction (SRR) of the trachea, which can mitigate unpredictable fetal motion effects, with standard 2-dimensional (2D) MRI for airway patency diagnosis and assessment of fetal neck mass anatomy. Study Design A single-center case series of 7 consecutive singleton p… Show more

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Cited by 7 publications
(8 citation statements)
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References 29 publications
(96 reference statements)
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“…Fetal movements can cause artifacts in MRI, but various approaches can be used to reduce their negative effect on images, such as the adjustment of acquisition parameters. Super‐resolution reconstruction (SRR) is another tool that combines images captured in the 3 orthogonal planes to generate 1 volume for analysis of the fetal brain and neck masses 48,49 . Similar application of motion‐corrected slice‐to‐volume registration software has been shown to improve the diagnosis of fetal cardiac lesions when compared with 2D MRI 50 .…”
Section: Clinical Assessment Of the Fetus And The Placentamentioning
confidence: 99%
See 1 more Smart Citation
“…Fetal movements can cause artifacts in MRI, but various approaches can be used to reduce their negative effect on images, such as the adjustment of acquisition parameters. Super‐resolution reconstruction (SRR) is another tool that combines images captured in the 3 orthogonal planes to generate 1 volume for analysis of the fetal brain and neck masses 48,49 . Similar application of motion‐corrected slice‐to‐volume registration software has been shown to improve the diagnosis of fetal cardiac lesions when compared with 2D MRI 50 .…”
Section: Clinical Assessment Of the Fetus And The Placentamentioning
confidence: 99%
“…Super-resolution reconstruction (SRR) is another tool that combines images captured in the 3 orthogonal planes to generate 1 volume for analysis of the fetal brain and neck masses. 48,49 Similar application of motion-corrected slice-to-volume registration software has been shown to improve the diagnosis of fetal cardiac lesions when compared with 2D MRI. 50 MRI volumetry can provide precise estimates of total lung volume, which may have a potential role in predicting the outcome of congenital diaphragmatic hernia, congenital lung lesions, and potentially neonatal lung function.…”
Section: S70mentioning
confidence: 99%
“…While SRR is not a novel technique, it has recently gained a high degree of focus from the imaging community. There are a variety of methods in which to employ SRR, from neural networks to a variety of algorithms that utilize low-resolution (LR) inputs to reconstruct a high-resolution (HR) image ( 8 , 9 , 15 , 19 ). The predominant focus of this study was to utilize the basic idea that low-spatial-resolution images acquired at an offset contribute new, unknown information to the previous data set acquired that can be estimated and used to generate higher-spatial-resolution data sets and assess the accuracy of the HR estimate against directly acquired counterparts for scans acquired with rapid imaging with refocused echo pulse sequences (rapid acquisition with refocused echo [RARE]).…”
Section: Introductionmentioning
confidence: 99%
“…Despite technical developments in MRI, in terms of rapid‐pulse sequences and advances in coil design, it is still limited by fetal motion artifacts 15 . In this study we used novel post‐processing techniques, including super‐resolution reconstruction (SRR), which can reduce fetal motion effects 2 , 8 , 10 , 14 , 26 , 27 , 28 , 29 , 30 . We hypothesized that this may improve quantitative cerebral assessment to aid our understanding of the impact of fetal OSB closure on brain development, which could be useful in ascertaining its outcome.…”
Section: Introductionmentioning
confidence: 99%