ArticleFrontiers in neuroimaging2025
Optimizing ultra-rapid compressed-sensing MPRAGE acquisitions for brain morphometry.
Article in Frontiers in neuroimaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Precision estimates of longitudinal brain aging capture unexpected individual differences in one year.Nature communications · 2026Article
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5 authors.
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Abstract
Purpose: Compressed-sensing (CS) methods can decrease the acquisition time for T Methods: Magnetization-Prepared Rapid Gradient Echo (MPRAGE) images were acquired at 1.0 mm spatial resolution. The effects of the acceleration factor (x2 to x8) and regularization factor were examined. Subcortical volumes and regional cortical thickness estimates of brain structure were obtained for all T Results: Higher acceleration lowered the SNR in white matter but not in gray matter. SNR could be further manipulated by the regularization parameter. Within-sequence agreement was comparable across all protocols. In fact, the spread in estimates from the 58-s CSx8 protocol was similar to those from the fully sampled protocol. Similarly, high agreement was found between estimates from the fully sampled and under-sampled protocols for all acceleration levels up to eight. Modifying the regularization factor had a quantifiable effect on image smoothness, however it had minimal impact on the agreement of morphometric estimates. Conclusion: Accelerated CS imaging protocols show comparable performance to traditional longer protocols for morphometric brain estimates.
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