Automated detection and reacquisition of motion-degraded images in fetal HASTE imaging at 3 T.
Automated detection and reacquisition of motion-degraded images in fetal HASTE imaging at 3 T.
复制标题
DOI：
10.1002/mrm.29106
复制
发表时间：
2022-04
影响因子：
3.3
通讯作者：
Grant PE
中科院分区：
文献类型：
--
作者：
Gagoski B;Xu J;Wighton P;Tisdall MD;Frost R;Lo WC;Golland P;van der Kouwe A;Adalsteinsson E;Grant PE
胎儿大脑磁共振成像患有不可预测和不受限制的胎儿运动，即使使用半傅立叶单次快速自旋回波(HASTE)读数也会导致严重的图像伪影。这项工作介绍了一种闭环管道的实现，该管道自动检测并重新获取因胎儿运动而退化的HASTE图像，而无需任何人类交互。执行自动图像质量评估(IQA)的卷积神经网络在连接到MRI扫描仪内部网络的外部配备了GPU的计算机上运行。改进的HASTE脉冲序列将每个图像发送到外部计算机，由IQA卷积神经网络对其进行评估，然后将IQA分数发送回该序列。在HASTE堆栈的末尾，对所有切片的IQA分数进行排序，并仅重新获取分数最低的切片(对应于图像质量最差的切片)。闭环HASTE获取框架在10名孕妇身上进行了测试，总共获得了73次我们修改后的HASTE序列。改进后的序列实时应用IQA卷积神经网络，准确率达到85.2%，在接收算子特性下的面积为0.899。所提出的采集/重建流水线被证明能够成功地识别并自动地重新采集规定堆叠中的运动退化的胎儿大脑HASTE切片。如果堆栈中只有几个切片运动降级，则无需重复整个堆栈，从而最大限度地减少了在匆忙获取上花费的总时间。
Fetal brain Magnetic Resonance Imaging suffers from unpredictable and unconstrained fetal motion that causes severe image artifacts even with half-Fourier single-shot fast spin echo (HASTE) readouts. This work presents the implementation of a closed-loop pipeline that automatically detects and reacquires HASTE images that were degraded by fetal motion without any human interaction. A convolutional neural network that performs automatic image quality assessment (IQA) was run on an external GPU-equipped computer that was connected to the internal network of the MRI scanner. The modified HASTE pulse sequence sent each image to the external computer, where the IQA convolutional neural network evaluated it, and then the IQA score was sent back to the sequence. At the end of the HASTE stack, the IQA scores from all the slices were sorted, and only slices with the lowest scores (corresponding to the slices with worst image quality) were reacquired. The closed-loop HASTE acquisition framework was tested on 10 pregnant mothers, for a total of 73 acquisitions of our modified HASTE sequence. The IQA convolutional neural network, which was successfully employed by our modified sequence in real time, achieved an accuracy of 85.2% and area under the receiver operator characteristic of 0.899. The proposed acquisition/reconstruction pipeline was shown to successfully identify and automatically reacquire only the motion degraded fetal brain HASTE slices in the prescribed stack. This minimizes the overall time spent on HASTE acquisitions by avoiding the need to repeat the entire stack if only few slices in the stack are motion-degraded.
登录
查看更多内容
影响因子：
4.6
作者：
Gholipour A;Rollins CK;Velasco-Annis C;Ouaalam A;Akhondi-Asl A;Afacan O;Ortinau CM;Clancy S;Limperopoulos C;Yang E;Estroff JA;Warfield SK
通讯作者：
Warfield SK
影响因子：
5.7
作者：
Ebner, Michael;Wang, Guotai;Vercauteren, Tom
通讯作者：
Vercauteren, Tom
DOI：
10.1002/cmr.a.21321
发表时间：
2014-11
期刊：
Concepts in magnetic resonance. Part A, Bridging education and research
影响因子：
--
作者：
Gholipour A;Estroff JA;Barnewolt CE;Robertson RL;Grant PE;Gagoski B;Warfield SK;Afacan O;Connolly SA;Neil JJ;Wolfberg A;Mulkern RV
通讯作者：
Mulkern RV
影响因子：
4.4
作者：
Esses, Steven J.;Lu, Xiaoguang;Chandarana, Hersh
通讯作者：
Chandarana, Hersh
影响因子：
10.6
作者：
Tajbakhsh, Nima;Shin, Jae Y.;Liang, Jianming
通讯作者：
Liang, Jianming