Max-IDEAL: A Max-Flow Based Approach for IDEAL Water/Fat Separation
Max-IDEAL: A Max-Flow Based Approach for IDEAL Water/Fat Separation
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DOI：
10.1002/mrm.24923
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发表时间：
2014-08-01
影响因子：
3.3
通讯作者：
McKenzie, Charles A.
中科院分区：
文献类型：
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作者：
Soliman, Abraam S.;Yuan, Jing;McKenzie, Charles A.
目的：提出一种利用独特的平滑约束进行水/脂肪分离的新方法。理论和方法：基于化学位移的水/脂肪分离是一种成熟的无创成像工具，用于各种解剖结构的体脂肪可视化。然而，B0磁场的不均匀性会阻碍水/脂肪分离过程。在这项工作中，B0的变化使用凸松弛标记模型进行映射，该模型产生了场图的粗略估计，同时考虑了标记过程中的T-2（星）衰减。随后使用T-2（星号）-IDEAL分离脂肪和水成分。引入自适应空间滤波（ASF）来提高估计的鲁棒性。该方法在健康志愿者和非酒精性脂肪肝（NAFLD）患者的心脏和腹部数据集上进行了测试。结果：在168张心脏和腹部图像中，只有1例显示水/脂肪交换会阻碍临床对基础解剖的解释。结论：这项工作展示了一种新的水/脂肪分离方法，通过独特的平滑性约束来防止水/脂肪交换的发生。在标记过程中结合T-2（星形）效应并包括ASF处理增强了所提出方法的鲁棒性，并允许该程序处理视野内的突然B0变化。(C) 2013 Wiley期刊公司
Purpose: To propose a novel approach to water/fat separation using a unique smoothness constraint.Theory and Methods: Chemical-shift based water/fat separation is an established noninvasive imaging tool for the visualization of body fat in various anatomies. Nevertheless, B0 magnetic field inhomogeneities can hamper the water/fat separation process. In this work, B0 variations are mapped using a convex-relaxed labeling model which produces a coarse estimate of the field map, while considering T-2(star) decay during the labeling process. Fat and water components are subsequently resolved using T-2(star)-IDEAL. An adaptive spatial filtering (ASF) was introduced to improve the robustness of the estimate. The method was tested on cardiac and abdominal datasets from healthy volunteers and nonalcoholic fatty liver disease (NAFLD) patients.Results: Out of 168 cardiac and abdominal images, only 1 case has shown water/fat swaps that can hinder the clinical interpretation of the underlying anatomy.Conclusion: This work demonstrates a new water/fat separation approach that prevents the occurrence of water/fat swaps, by means of a unique smoothness constraint. Incorporating T-2(star) effect in the labeling procedure and including the ASF processing enhance the robustness of the proposed approach and permit the procedure to handle abrupt B0 variations within the field of view. (C) 2013 Wiley Periodicals, Inc.