Image corruption detection in diffusion tensor imaging for post-processing and real-time monitoring.
Image corruption detection in diffusion tensor imaging for post-processing and real-time monitoring.
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DOI：
10.1371/journal.pone.0049764
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发表时间：
2013
期刊：
影响因子：
3.7
通讯作者：
Mori S
中科院分区：
文献类型：
--
作者：
Li Y;Shea SM;Lorenz CH;Jiang H;Chou MC;Mori S
由于弥散张量成像（DTI）对生理运动的高灵敏度，临床DTI扫描经常遭受大量的伪影。基于张量拟合的后处理异常值抑制通常用于减少运动伪影的影响。虽然该方法是一种有效的方法，但当存在多个损坏数据时，该方法可能无法正确识别和拒绝损坏数据。在本文中，我们引入了一种叫做“校正片间强度不连续”（cISID）的新准则来检测运动引起的伪影。我们比较了使用cISID和其他现有方法的算法在伪迹检测方面的性能。实验结果表明，将cISID集成到基于拟合的方法中，可以显著提高后处理分析的回顾性检测性能。如果单独使用cISID准则，其性能不如基于拟合的方法，但cISID可以有效地识别严重损坏的图像，计算时间短。在本文的第二部分中，在扫描仪上实现了一种异常值抑制方案，用于实时监测图像质量并重新获取损坏数据。基于cISID的实时监测和随后的后期处理，基于拟合的异常值拒绝，可以为常规DTI研究提供一个强大的环境。
Due to the high sensitivity of diffusion tensor imaging (DTI) to physiological motion, clinical DTI scans often suffer a significant amount of artifacts. Tensor-fitting-based, post-processing outlier rejection is often used to reduce the influence of motion artifacts. Although it is an effective approach, when there are multiple corrupted data, this method may no longer correctly identify and reject the corrupted data. In this paper, we introduce a new criterion called “corrected Inter-Slice Intensity Discontinuity” (cISID) to detect motion-induced artifacts. We compared the performance of algorithms using cISID and other existing methods with regard to artifact detection. The experimental results show that the integration of cISID into fitting-based methods significantly improves the retrospective detection performance at post-processing analysis. The performance of the cISID criterion, if used alone, was inferior to the fitting-based methods, but cISID could effectively identify severely corrupted images with a rapid calculation time. In the second part of this paper, an outlier rejection scheme was implemented on a scanner for real-time monitoring of image quality and reacquisition of the corrupted data. The real-time monitoring, based on cISID and followed by post-processing, fitting-based outlier rejection, could provide a robust environment for routine DTI studies.
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影响因子：
5.7
作者：
Qiu, Deqiang;Tan, Li-Hai;Khong, Pek-Lan
通讯作者：
Khong, Pek-Lan
DOI：
10.1006/jmrb.1994.1037
发表时间：
1994-03-01
期刊：
JOURNAL OF MAGNETIC RESONANCE SERIES B
影响因子：
--
作者：
BASSER, PJ;MATTIELLO, J;LEBIHAN, D
通讯作者：
LEBIHAN, D
影响因子：
3.3
作者：
Habib, Josef;Auer, Dorothee P.;Morgan, Paul S.
通讯作者：
Morgan, Paul S.
影响因子：
3.3
作者：
Chang, LC;Jones, DK;Pierpaoli, C
通讯作者：
Pierpaoli, C
影响因子：
10.6
作者：
Fillard, Pierre;Pennec, Xavier;Ayache, Nicholas
通讯作者：
Ayache, Nicholas