Shi Xiaoyu, Liu Guoqiang, Yan Xiaoheng, Li Yanhong
Faculty of Electrical and Control Engineering, Liaoning Technical University, Huludao, 125105, China; Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing, 100190, China.
Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing, 100190, China; School of Electronic Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, 101407, China.
Comput Biol Med. 2020 Apr;119:103653. doi: 10.1016/j.compbiomed.2020.103653. Epub 2020 Feb 8.
Magnetic nanoparticles (MNPs) have been proposed as drug carriers for targeted therapy. Noninvasive imaging methods that can compute the distribution of MNPs have also attracted much attention.
Based on the Langevin theory, the theoretical relationship between the magnetic force and the concentration of MNPs was derived. The acoustic pressure wave equation containing the concentration of MNPs was established.
The acoustic pressure waveform reflected the dimension and position of the MNPs region. From reconstructed images, MNPs regions with different concentrations and different sizes were clearly distinguished.
The concentration of MNPs can be parsed from the acoustic signals generated by particles vibrations. This conclusion indicates that magneto-acoustic concentration tomography of magnetic nanoparticles with magnetic induction (MACT-MI) has potential to detect and reconstruct the concentration of MNPs in biological tissue.
磁性纳米颗粒(MNPs)已被提议作为靶向治疗的药物载体。能够计算MNPs分布的非侵入性成像方法也备受关注。
基于朗之万理论,推导了磁力与MNPs浓度之间的理论关系。建立了包含MNPs浓度的声压波动方程。
声压波形反映了MNPs区域的尺寸和位置。从重建图像中,可以清晰地区分不同浓度和不同大小的MNPs区域。
MNPs的浓度可以从粒子振动产生的声信号中解析出来。这一结论表明,磁感应磁性纳米颗粒磁声浓度断层成像(MACT-MI)有潜力检测和重建生物组织中MNPs的浓度。