Global motion detection and censoring in high-density diffuse optical tomography.
Global motion detection and censoring in high-density diffuse optical tomography.
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DOI：
10.1002/hbm.25111
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发表时间：
2020-10-01
影响因子：
4.8
通讯作者：
Culver JP
中科院分区：
文献类型：
--
作者：
Sherafati A;Snyder AZ;Eggebrecht AT;Bergonzi KM;Burns-Yocum TM;Lugar HM;Ferradal SL;Robichaux-Viehoever A;Smyser CD;Palanca BJ;Hershey T;Culver JP
与大多数神经成像方式一样，运动诱导伪影会严重破坏光学神经成像。对于具有数百到数千个源-检测器对测量的高密度漫射光学断层扫描（HD-DOT），相对于功能性磁共振成像（fMRI）和标准功能性近红外光谱（fNIRS），运动检测方法是不发达的。这种局限性限制了HD-DOT在许多具有挑战性的成像情况和受试者人群中的应用（例如，床旁监测和儿童）。在这里，我们评估了一种用于多通道光学成像系统的新运动检测方法，该方法利用了测量通道之间的空间模式。具体来说，我们引入了一个全球的时间导数方差（GVTD）度量作为运动检测指标。我们发现，GVTD与运动的外部措施密切相关，并具有较高的灵敏度和特异性，以指导运动的接收器操作者特征曲线下的面积为0.88，计算基于五种不同类型的指示运动。此外，我们还发现，对听觉单词任务和具有自然头部运动的静息状态HD‐DOT数据应用基于GVTD的运动删失，可以提高与fMRI映射的空间相似性。然后，我们将GVTD相似性得分与fNIRS文献中描述的几种常用运动校正方法进行了比较，包括基于相关性的信号改善（CBSI），时间导数分布修复（TDDR），小波滤波和目标主成分分析（tPCA）。我们发现，GVTD运动审查的HD-DOT数据优于其他方法，并导致空间图更类似于匹配的fMRI数据。与大多数神经成像方式一样，运动诱导伪影会严重破坏光学神经成像。对于具有数百到数千个源-检测器对测量的高密度漫射光学断层扫描（HD-DOT），相对于功能性磁共振成像（fMRI）和标准功能性近红外光谱（fNIRS），运动检测方法是不发达的。在这里，我们评估了一种用于多通道光学成像系统的新运动检测方法，该方法利用了跨通道的空间模式。具体来说，我们引入了一个全球方差的时间导数（GVTD）度量作为运动检测指标，并表明它与外部措施的运动密切相关。
Motion‐induced artifacts can significantly corrupt optical neuroimaging, as in most neuroimaging modalities. For high‐density diffuse optical tomography (HD‐DOT) with hundreds to thousands of source‐detector pair measurements, motion detection methods are underdeveloped relative to both functional magnetic resonance imaging (fMRI) and standard functional near‐infrared spectroscopy (fNIRS). This limitation restricts the application of HD‐DOT in many challenging imaging situations and subject populations (e.g., bedside monitoring and children). Here, we evaluated a new motion detection method for multi‐channel optical imaging systems that leverages spatial patterns across measurement channels. Specifically, we introduced a global variance of temporal derivatives (GVTD) metric as a motion detection index. We showed that GVTD strongly correlates with external measures of motion and has high sensitivity and specificity to instructed motion—with an area under the receiver operator characteristic curve of 0.88, calculated based on five different types of instructed motion. Additionally, we showed that applying GVTD‐based motion censoring on both hearing words task and resting state HD‐DOT data with natural head motion results in an improved spatial similarity to fMRI mapping. We then compared the GVTD similarity scores with several commonly used motion correction methods described in the fNIRS literature, including correlation‐based signal improvement (CBSI), temporal derivative distribution repair (TDDR), wavelet filtering, and targeted principal component analysis (tPCA). We find that GVTD motion censoring on HD‐DOT data outperforms other methods and results in spatial maps more similar to those of matched fMRI data. Motion‐induced artifacts can significantly corrupt optical neuroimaging, as in most neuroimaging modalities. For high‐density diffuse optical tomography (HD‐DOT) with hundreds to thousands of source‐detector pair measurements, motion detection methods are underdeveloped relative to both functional magnetic resonance imaging (fMRI) and standard functional near‐infrared spectroscopy (fNIRS). Here, we evaluated a new motion detection method for multi‐channel optical imaging systems that leverages spatial patterns across channels. Specifically, we introduced a global variance of temporal derivatives (GVTD) metric as a motion detection index and showed that it strongly correlates with external measures of motion.
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影响因子：
5.7
作者：
Eggebrecht, Adam T.;White, Brian R.;Ferradal, Silvina L.;Chen, Chunxiao;Zhan, Yuxuan;Snyder, Abraham Z.;Dehghani, Hamid;Culver, Joseph P.
通讯作者：
Culver, Joseph P.
影响因子：
5.7
作者：
Caspers S;Eickhoff SB;Zilles K;Amunts K
通讯作者：
Amunts K
影响因子：
5.7
作者：
Dosenbach NUF;Koller JM;Earl EA;Miranda-Dominguez O;Klein RL;Van AN;Snyder AZ;Nagel BJ;Nigg JT;Nguyen AL;Wesevich V;Greene DJ;Fair DA
通讯作者：
Fair DA
影响因子：
5.7
作者：
Birn, RM;Cox, RW;Bandettini, PA
通讯作者：
Bandettini, PA
影响因子：
5.7
作者：
Franceschini, MA;Boas, DA
通讯作者：
Boas, DA