Masaomi Washino
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Masaomi Washino has a total of 8 co-authors. Here are the top co-authors by number of shared publications:
H. Yoshida
Graduate School of Engineering, Osaka University, Suita, Japan
1 shared publicationK. Nishigaki
Graduate School of Engineering, Osaka University, Suita, Japan
1 shared publication- Kota Nomura
Advanced Technology R&D Center, Mitsubishi Electric Corporation, Amagasaki, JAPAN
1 shared publication - Satoshi Seino
Management of Industry and Technology, Graduate School of Engineering, The University of Osaka, Suita, Japan
1 shared publication Shun Tonooka
Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, Okayama, Japan
1 shared publication- Takashi Nakagawa
Graduate School of Engineering, Osaka University, Suita, Japan
1 shared publication
Latest Publications
- 9 February 2023
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Magnetics Letters
- Vol. 14 (1949307X) , 1-5
Magnetic-Particle-Discrimination Method Using Difference of Relaxation Time for Magnetic Particle Imaging
Magnetic Particle Imaging (MPI) is an imaging modality that directly detects the nonlinear responses of magnetic nanoparticles (MNPs). Spatial encoding is achieved by saturating the magnetic moment of MNPs almost everywhere except in a special point called the field-free region in which a magnetic field vanishes. Recently, MPI sensitivity was improved using a field-free line (FFL) in which a field-free region was formed as a line. An MPI with a FFL device was developed using a neodymium magnet and an iron yoke to image objects with a small amount of magnetic nanoparticles, such as in biological systems. We have been developing MPI equipment for detecting amyloid-β, a causative agent of Alzheimer's disease. We attached amyloid-β probes to nanoparticles. In our development, we discriminated between magnetic particles that are bound to biological tissue from those that are suspended in the brain. We focused on the differences in relaxation times due to the change in the hydrodynamic diameter between the bound and unbound particles. Because the bound particles have a larger apparent particle size and do not rotate when an AC magnetic field is applied, the relaxation time is different from the unbound particles. Since the differences in the responses to the AC magnetic field appear as relaxation times, we investigated a particle-discrimination method using these differences and studied the magnetization response of magnetic nanoparticles using our developed MPI device.
- 9 February 2023
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Magnetics Letters
- Vol. 14 (1949307X) , 1-5
Magnetic-Particle-Discrimination Method Using Difference of Relaxation Time for Magnetic Particle Imaging
Magnetic Particle Imaging (MPI) is an imaging modality that directly detects the nonlinear responses of magnetic nanoparticles (MNPs). Spatial encoding is achieved by saturating the magnetic moment of MNPs almost everywhere except in a special point called the field-free region in which a magnetic field vanishes. Recently, MPI sensitivity was improved using a field-free line (FFL) in which a field-free region was formed as a line. An MPI with a FFL device was developed using a neodymium magnet and an iron yoke to image objects with a small amount of magnetic nanoparticles, such as in biological systems. We have been developing MPI equipment for detecting amyloid-β, a causative agent of Alzheimer's disease. We attached amyloid-β probes to nanoparticles. In our development, we discriminated between magnetic particles that are bound to biological tissue from those that are suspended in the brain. We focused on the differences in relaxation times due to the change in the hydrodynamic diameter between the bound and unbound particles. Because the bound particles have a larger apparent particle size and do not rotate when an AC magnetic field is applied, the relaxation time is different from the unbound particles. Since the differences in the responses to the AC magnetic field appear as relaxation times, we investigated a particle-discrimination method using these differences and studied the magnetization response of magnetic nanoparticles using our developed MPI device.