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首页> 外文期刊>Magnetic resonance in medicine: official journal of the Society of Magnetic Resonance in Medicine >Field map estimation with a region growing scheme for iterative 3-point water-fat decomposition.
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Field map estimation with a region growing scheme for iterative 3-point water-fat decomposition.

机译:使用区域增长方案的迭代3点水脂肪分解进行场图估计。

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摘要

Robust fat suppression techniques are required for many clinical applications. Multi-echo water-fat separation methods are relatively insensitive to B(0) field inhomogeneity compared to the fat saturation method. Estimation of this field inhomogeneity, or field map, is an essential and important step, which is well known to have ambiguity. For an iterative water-fat decomposition method recently proposed, ambiguities still exist, but are more complex in nature. They were studied by analytical expressions and simulations. To avoid convergence to incorrect field map solutions, an initial guess closer to the true field map is necessary. This can be achieved using a region growing process, which correlates the estimation among neighboring pixels. Further improvement in stability is achieved using a low-resolution reconstruction to guide the selection of the starting pixels for the region growing. The proposed method was implemented and shown to significantly improve the algorithm's immunity to field inhomogeneity.
机译:许多临床应用都需要强大的脂肪抑制技术。与脂肪饱和方法相比,多回波水脂肪分离方法对B(0)场不均匀性相对不敏感。估计该场的不均匀性或场图是必不可少且重要的步骤,众所周知它具有歧义性。对于最近提出的迭代水脂肪分解方法,模棱两可仍然存在,但本质上更为复杂。他们通过分析表达式和模拟进行了研究。为了避免收敛到不正确的场图解决方案,需要更接近真实场图的初始猜测。这可以使用区域增长过程来实现,该过程使相邻像素之间的估计相关。使用低分辨率重建来指导针对区域增长的起始像素的选择,可以进一步提高稳定性。所提出的方法已实现并显示出可显着提高算法对场不均匀性的抵抗力。

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