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Data Quality Assessment for Super‐Resolution Fetal Brain MR Imaging: A Retrospective 1.5 T Study
Background Super‐resolution is a promising technique to create isotropic image volumes from stacks of two‐dimensional (2D) motion‐corrupted images in fetal magnetic resonance imaging (MRI). Purpose To determine an acquisition quality metric and correlate that metric with radiologist perception of th...
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Published in: | Journal of magnetic resonance imaging 2021-10, Vol.54 (4), p.1349-1360 |
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Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Background
Super‐resolution is a promising technique to create isotropic image volumes from stacks of two‐dimensional (2D) motion‐corrupted images in fetal magnetic resonance imaging (MRI).
Purpose
To determine an acquisition quality metric and correlate that metric with radiologist perception of three‐dimensional (3D) image quality.
Study Type
Retrospective.
Subjects
Eighty‐seven patients, mean gestational age 29 ± 6 weeks.
Field Strength/Sequence
1.5 T/2D fast spin‐echo.
Assessment
Four radiologists (L.G., D.M.E.B., P.C., and J.V.; 31, 21, 7, and 7 years' experience, respectively) graded reconstructions on a 0 to 4 scale for overall appearance and visibility of specific anatomy. During reconstruction, slices were labeled as inliers based on correlation between a simulated vs. actual acquisition. The fraction of brain voxels in inlier slicers vs. total brain voxels was measured for each acquisition.
Statistical Tests
Paired sample t test, Pearson's correlation, intra‐class correlation.
Results
The average brain mask inlier fraction for all acquisitions was 0.8. There was a statistically significant correlation (0.71) between overall reconstruction appearance and number of acquisitions with inlier fraction above 0.73. There was low correlation (0.21, P = 0.05) between the number of acquisitions used in the reconstruction and overall score when no data quality measure was considered. Similar results were found for ratings of specific anatomy. Statistically significant differences in overall perception of image quality were found when using three vs. four, four vs. five, and three vs. five high‐quality acquisitions in the reconstruction. Five high‐quality acquisitions were sufficient to yield an average radiologist rating of 3.59 out of 4.0 for overall image quality.
Data Conclusion
Reconstruction quality can be reliably predicted using the brain mask inlier fraction. Real‐time super‐resolution protocols could exploit this to terminate acquisition when enough high‐quality acquisitions have been collected. To achieve consistent 3D image quality it may be necessary to acquire more than five scans to compensate for severely motion‐corrupted acquisitions.
Level of Evidence
3
Technical Efficacy
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ISSN: | 1053-1807 1522-2586 |
DOI: | 10.1002/jmri.27665 |