Improvement of SNR in magnetic particle imaging based on magnetization signal generated by external vibration of magnetic nanoparticle

被引:0
|
作者
Urushibata S. [1 ,2 ]
Ishihara Y. [2 ]
机构
[1] Graduate School of Science and Technology, Meiji University
[2] School of Science and Technology, Meiji University
来源
Transactions of Japanese Society for Medical and Biological Engineering | 2019年 / 57卷 / 01期
关键词
Alternating magnetic field; Image reconstruction; Magnetic nanoparticle; Magnetic particle imaging; Vibration;
D O I
10.11239/jsmbe.57.8
中图分类号
学科分类号
摘要
Recently, magnetic particle imaging (MPI) has been proposed as a newmedical imaging technology for diagnosing cancer and cardiovascular diseases. When magnetic nanoparticles (MNP) are injected into a living body, the MNP circulate in the blood vessels and accumulate in a cancer cell. In MPI, the MNP distribution is reconstructed by detecting the magnetization signals generated by changing the magnetization state of the MNP using an externally applied alternating magnetic field. However, in this signal detection method, because both the magnetization signals and the alternating magnetic field are simultaneously detected, it is necessary to separate them. Consequently, the same component with the same frequency as the alternating magnetic field is removed, and this component constitutes the majority of the magnetization signals. Hence, the signals of the MNP after separation become small and the signal-to-noise ratio (SNR) deteriorates. Therefore, we propose a magnetization signal detection method based on vibration of the MNP, without using the alternating magnetic field. In this method, because it is not necessary to separate the component with the same frequency as the alternating magnetic field from the magnetization signals, larger signals can be detected compared to that obtained by the conventional method, and the SNR can be improved. In this study, in order to confirm the efficacy of the proposed method, the SNRs of the conventional and the proposed methods were evaluated experimentally. Based on the results obtained, we confirmed that the SNR of the proposed method improved by 11.3 dB compared to the conventional method. © 2019, Japan Soc. of Med. Electronics and Biol. Engineering. All rights reserved.
引用
收藏
页码:8 / 14
页数:6
相关论文
共 50 条
  • [21] Signal-to-noise ratio optimized image reconstruction technique for magnetic particle imaging
    Bozkurt, Ecem
    Saritas, Emine Uliku
    JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY, 2017, 32 (03): : 999 - 1013
  • [22] Modeling the magnetization dynamics for large ensembles of immobilized magnetic nanoparticles in multi-dimensional magnetic particle imaging
    Albers, Hannes
    Knopp, Tobias
    Moeddel, Martin
    Boberg, Marija
    Kluth, Tobias
    JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS, 2022, 543
  • [23] The X-Space Formulation of the Magnetic Particle Imaging Process: 1-D Signal, Resolution, Bandwidth, SNR, SAR, and Magnetostimulation
    Goodwill, Patrick W.
    Conolly, Steven M.
    IEEE TRANSACTIONS ON MEDICAL IMAGING, 2010, 29 (11) : 1851 - 1859
  • [24] Magnetic Nanoparticles in Macrophages and Cancer Cells Exhibit Different Signal Behavior on Magnetic Particle Imaging
    Suzuka, Hisaaki
    Mimura, Atsushi
    Inaoka, Yoshimi
    Murase, Kenya
    JOURNAL OF NANOSCIENCE AND NANOTECHNOLOGY, 2019, 19 (11) : 6857 - 6865
  • [25] Experimental and simulation studies on the behavior of signal harmonics in magnetic particle imaging
    Murase K.
    Konishi T.
    Takeuchi Y.
    Takata H.
    Saito S.
    Radiological Physics and Technology, 2013, 6 (2) : 399 - 414
  • [26] Limitations of measurement-based system functions in magnetic particle imaging
    Knopp, T.
    Sattel, T. F.
    Biederer, S.
    Buzug, T. M.
    MEDICAL IMAGING 2010: BIOMEDICAL APPLICATIONS IN MOLECULAR, STRUCTURAL, AND FUNCTIONAL IMAGING, 2010, 7626
  • [27] Correlation-Based Image Reconstruction Methods for Magnetic Particle Imaging
    Ishihara, Yasutoshi
    Kuwabara, Tsuyoshi
    Honma, Takumi
    Nakagawa, Yohei
    IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2012, E95D (03) : 872 - 879
  • [28] Space-Specific Mixing Excitation for High-SNR Spatial Encoding in Magnetic Particle Imaging
    Liu, Yanjun
    Li, Guanghui
    Li, Jiaqian
    Tang, Zhenchao
    An, Yu
    Tian, Jie
    IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2024, 71 (10) : 2889 - 2899
  • [29] Equilibrium Model With Anisotropy for Model-Based Reconstruction in Magnetic Particle Imaging
    Maass, Marco
    Kluth, Tobias
    Droigk, Christine
    Albers, Hannes
    Scheffler, Konrad
    Mertins, Alfred
    Knopp, Tobias
    IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING, 2024, 10 : 1588 - 1601
  • [30] Wavelet-based compressed sensing of the system matrix for magnetic particle imaging
    Vildan Atalay Aydın
    Martin Möddel
    Tobias Knopp
    Signal, Image and Video Processing, 2025, 19 (9)