Improvement in Magnetic Nanoparticle Tomography Estimation Accuracy by Combining sLORETA and Non-Negative Least Squares Methods
Improvement in Magnetic Nanoparticle Tomography Estimation Accuracy by Combining sLORETA and Non-Negative Least Squares Methods
复制标题
结合 sLORETA 和非负最小二乘法提高磁性纳米颗粒断层扫描估计精度
DOI：
10.1016/j.jmmm.2022.169953
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发表时间：
2022
影响因子：
2.7
通讯作者：
Takashi Yoshida
中科院分区：
文献类型：
--
作者：
Teruyoshi Sasayama;Naoki Okamura;Kohta Higashino;Takashi Yoshida
可以检测在癌性肿瘤部位积累的生物功能化磁性纳米颗粒（MNP）的成像方法有望成为体内癌症诊断技术的一部分。已经提出了一种称为磁性纳米颗粒断层扫描（MNT）的成像技术，其使用磁性传感器阵列。采用非负最小二乘（NNLS）逆解实现了MNT的高灵敏度和空间分辨率。然而，由于测量噪声的存在，某些MNP的浓度和位置估计不准确，即产生伪影。为了克服这个问题，本研究首先应用标准化低分辨率脑电磁断层扫描（sLORETA），一种无位置偏差的空间滤波方法，来近似MNP的位置。分析区域仅限于估计值超过阈值的区域。随后，NNLS方法被应用于估计的浓度和位置的MNP的限制区域。在实验中，两个Resovist MNP样品（300或500 μgFe）以25- 502 mm的距离排列，并进行浓度和位置估计。估计结果表明，所提出的方法成功地抑制伪影，并充分估计的浓度和位置的MNP的位置误差为10 mm和浓度误差为20%。
Imaging methods that can detect biofunctionalized magnetic nanoparticles (MNPs) accumulated at cancerous tumor sites are expected to be part of the in vivo cancer diagnostic techniques. An imaging technique called magnetic nanoparticle tomography (MNT), which uses a magnetic sensor array, has been proposed. High sensitivity and spatial resolution were achieved using the non-negative least-squares (NNLS) inverse solution in MNT. However, owing to the presence of measurement noise, the concentration and position of certain MNPs were estimated inaccurately, ie, artifacts were generated. To overcome this issue, this study first applied standardized low-resolution brain electromagnetic tomography (sLORETA), a spatial filter method with no location bias, to approximate the position of MNPs. The region of analysis was restricted to where the estimated value exceeded the threshold. Subsequently, the NNLS method was applied to estimate the concentration and position of MNPs in the restricted region. In the experiment, two Resovist MNP samples (300 or 500 μgFe) were arranged at a distance of 25–50 2 mm, and the concentration and position estimation were performed. The estimation results demonstrated that the proposed method successfully suppresses artifacts and adequately estimates the concentration and position of MNPs within a position error of 10 mm and a concentration error of 20%.
方波逆变器在磁性纳米粒子层析成像激励系统中的应用
影响因子：
1.6
作者：
Higashino Kohta;Okamura Naoki;Sasayama Teruyoshi;Yoshida Takashi
通讯作者：
Yoshida Takashi
影响因子：
2.2
作者：
Saritas, Emine U.;Goodwill, Patrick W.;Croft, Laura R.;Konkle, Justin J.;Lu, Kuan;Zheng, Bo;Conolly, Steven M.
通讯作者：
Conolly, Steven M.