Abstract
PurposeDevelopment of a warp-based automated brain segmentation approach of 3D fluid-attenuated inversion recovery (FLAIR) images and comparison to 3D T1-based segmentation.Methods3D FLAIR and 3D T1-weighted sequences of 30 healthy subjects (mean age 29.98.3years, 8 female) were acquired on the same 3T MR scanner. Warp-based segmentation was applied for volumetry of total gray matter (GM), white matter (WM), and 116 atlas regions. Segmentation results of both sequences were compared using Pearson correlation (r).ResultsCorrelation of GM segmentation results based on FLAIR and T1 was overall good for cortical structures (mean r across all cortical structures = 0.76). Comparatively weaker results were found in the occipital lobe (r=0.77), central region (mean r=0.58), basal ganglia (mean r=0.59), thalamus (r=0.30), and cerebellum (r=0.73). FLAIR segmentation underestimated volume of the central region compared to T1, but showed a better anatomic concordance with the occipital lobe on visual review and subcortical structures, when also compared to manual segmentation. Visual analysis of FLAIR-based WM segmentation revealed frequent misclassification of regions of high signal intensity as GM.Conclusion p id=Par4 Warp-based FLAIR segmentation yields comparable results to T1 segmentation for most cortical GM structures and may provide anatomically more congruent segmentation of subcortical GM structures. Selected cortical regions, especially the central region and total WM, seem to be underestimated on FLAIR segmentation.
| Item Type: | Journal article |
|---|---|
| Faculties: | Medicine |
| Subjects: | 600 Technology > 610 Medicine and health |
| ISSN: | 0028-3940 |
| Language: | English |
| Item ID: | 80630 |
| Date Deposited: | 15. Dec 2021, 14:54 |
| Last Modified: | 15. Dec 2021, 14:54 |
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