Robust phase unwrapping for MR temperature imaging using a magnitude-sorted list, multi-clustering algorithm.
Robust phase unwrapping for MR temperature imaging using a magnitude-sorted list, multi-clustering algorithm.
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DOI：
10.1002/mrm.25279
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发表时间：
2015-04
影响因子：
3.3
通讯作者：
Stafford, R. Jason
中科院分区：
文献类型：
--
作者：
Maier, Florian;Fuentes, David;Weinberg, Jeffrey S.;Hazle, John D.;Stafford, R. Jason
MRI 中的几种方法使用复杂信号的相位信息并需要相位展开（例如 B0 场映射、化学位移成像和速度测量）。在这项工作中，开发了一种算法，重点关注 MR 温度成像应用的需求和要求。所提出的方法使用按幅度降序排序的所有像素的列表来执行全自动展开，并创建和合并展开像素的簇，直到整个图像展开。使用模拟体模数据和体内临床温度成像数据对该算法进行评估。对模型数据的评估表明，信噪比至少为 4.5 的区域没有错误。对于体内数据，当信噪比大于 6.3 时，该算法在平均超过 1 个像素时不会失败。通过展开用于无参考 MR 温度成像的感兴趣区域（53 × 53 像素）内的像素，每幅图像的处理时间少于 30 毫秒。在本研究中，该算法已被证明可以根据临床体内数据稳健运行。无参考 MR 温度成像中常见感兴趣区域的处理时间允许在线更新温度图，而不会出现明显的延迟。
Several methods in MRI use the phase information of the complex signal and require phase unwrapping (e.g., B0 field mapping, chemical shift imaging, and velocity measurements). In this work, an algorithm was developed focusing on the needs and requirements of MR temperature imaging applications. The proposed method performs fully automatic unwrapping using a list of all pixels sorted by magnitude in descending order and creates and merges clusters of unwrapped pixels until the entire image is unwrapped. The algorithm was evaluated using simulated phantom data and in vivo clinical temperature imaging data. The evaluation of the phantom data demonstrated no errors in regions with signal-to-noise ratios of at least 4.5. For the in vivo data, the algorithm did not fail at an average of more than one pixel for signal-to-noise ratios greater than 6.3. Processing times less than 30 ms per image were achieved by unwrapping pixels inside a region of interest (53 × 53 pixels) used for referenceless MR temperature imaging. The algorithm has been demonstrated to operate robustly with clinical in vivo data in this study. The processing time for common regions of interest in referenceless MR temperature imaging allows for online updates of temperature maps without noticeable delay.
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