AI Article Synopsis
- The study introduces a new method for accurately estimating brain myelin-water content using both gradient-echo and spin-echo imaging data to address the challenges of the inversion problem.
- Simulations and real data tests show that this joint inversion technique yields better accuracy and clearer images of myelin-water than separate analyses of each dataset.
- By combining information from both imaging methods, the approach enhances the reliability of quantifying myelin-water, making it a significant advancement in neuroimaging.
Article Abstract
Objective: Accurate estimation of brain myelin-water content from multi-echo data is challenging due to the inherent ill-posedness of the inversion problem. In this study, we propose a novel method for myelin-water imaging that jointly utilizes gradient-echo and spin-echo imaging data to enhance the accuracy of myelin-water estimation.
Material And Methods: Multi-echo gradient-echo and spin-echo data were simulated and acquired in vivo. The simulations are based on a parameterized myelin and free water signal model, which is also used for the inversion by means of nonlinear local-search optimization. Single inversions of the individual datasets as well as joint inversion of the combined datasets were performed on simulated and real data. While single inversions estimate either the or relaxation spectrum, the joint inversion estimates both spectra simultaneously.
Results: Simulation results show that the accuracy of myelin-water imaging improves when jointly inverting gradient-echo and spin-echo synthetic data. In vivo experiments show that the joint inversion of both datasets leads to sharper and more distinct myelin-water images as compared to the individual inversions.
Discussion: Our method addresses the ill-posed nature of the myelin-water inversion problem by leveraging complementary information from multi-echo gradient-echo and multi-echo spin-echo imaging sequences, thus improving the reliability of myelin-water quantification.
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| http://dx.doi.org/10.1007/s10334-025-01235-5 | DOI Listing |
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View Article and Find Full Text PDFArticle Synopsis
- The study introduces a new method for accurately estimating brain myelin-water content using both gradient-echo and spin-echo imaging data to address the challenges of the inversion problem.
- Simulations and real data tests show that this joint inversion technique yields better accuracy and clearer images of myelin-water than separate analyses of each dataset.
- By combining information from both imaging methods, the approach enhances the reliability of quantifying myelin-water, making it a significant advancement in neuroimaging.
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