Robust water/fat separation in the presence of large field inhomogeneities using a graph cut algorithm.
Robust water/fat separation in the presence of large field inhomogeneities using a graph cut algorithm.
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DOI：
10.1002/mrm.22177
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发表时间：
2010-01
影响因子：
3.3
通讯作者：
Liang, Z-P.
中科院分区：
文献类型：
--
作者：
Hernando, Diego;Kellman, P.;Haldar, J. P.;Liang, Z-P.
水/脂肪分离是体内质子MRI的经典问题。尽管已经提出了许多方法来解决这个问题，但稳健的水/脂肪分离仍然是一个挑战，特别是在存在大幅度静态场不均匀性的情况下。这个问题是具有挑战性的，因为一个孤立的体素的解决方案的非唯一性。本文解决了这个问题，使用统计动机的配方，共同估计完整的字段地图和整个水/脂肪图像。这种配方导致一个困难的优化问题，有效地解决了使用一种新的图形切割算法，基于迭代过程中，所有体素同时更新。所提出的方法具有良好的理论性能，以及一个有效的实现。模拟和体内结果突出所提出的方法的属性，并将其与以前的方法进行比较。使用在具有不同切片方向的短宽孔扫描仪上采集的25个心脏数据集来测试所提出的方法，该方法为这些具有挑战性的数据集产生了稳健的水/脂肪分离。本文还显示了所提出的方法，如心肌内脂肪的表征的应用实例。
Water/fat separation is a classical problem for in vivo proton MRI. Although many methods have been proposed to address this problem, robust water/fat separation remains a challenge, especially in the presence of large amplitude of static field inhomogeneities. This problem is challenging because of the nonuniqueness of the solution for an isolated voxel. This paper tackles the problem using a statistically motivated formulation that jointly estimates the complete field map and the entire water/fat images. This formulation results in a difficult optimization problem that is solved effectively using a novel graph cut algorithm, based on an iterative process where all voxels are updated simultaneously. The proposed method has good theoretical properties, as well as an efficient implementation. Simulations and in vivo results are shown to highlight the properties of the proposed method and compare it to previous approaches. Twenty-five cardiac datasets acquired on a short, wide-bore scanner with different slice orientations were used to test the proposed method, which produced robust water/fat separation for these challenging datasets. This paper also shows example applications of the proposed method, such as the characterization of intramyocardial fat.
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影响因子：
3.3
作者：
Goldfarb, James W.
通讯作者：
Goldfarb, James W.
影响因子：
3.3
作者：
Kellman, Peter;Hernando, Diego;Shah, Saurabh;Zuehlsdorff, Sven;Jerecic, Renate;Mancini, Christine;Liang, Zhi-Pei.;Arai, Andrew E.
通讯作者：
Arai, Andrew E.
影响因子：
2
作者：
Darbon, Jerome;Sigelle, Marc
通讯作者：
Sigelle, Marc
影响因子：
3.3
作者：
Hernando, D.;Haldar, J. P.;Liang, Z. -P.
通讯作者：
Liang, Z. -P.
影响因子：
3.3
作者：
Ma, JF
通讯作者：
Ma, JF