Inverse Problem Analysis in Magnetic Nanoparticle Tomography Using Minimum Variance Spatial Filter
| العنوان: | Inverse Problem Analysis in Magnetic Nanoparticle Tomography Using Minimum Variance Spatial Filter |
|---|---|
| المؤلفون: | Takashi Yoshida, Teruyoshi Sasayama, Naoki Okamura |
| المصدر: | IEEE Transactions on Magnetics. 58:1-5 |
| بيانات النشر: | Institute of Electrical and Electronics Engineers (IEEE), 2022. |
| سنة النشر: | 2022 |
| مصطلحات موضوعية: | Reduction (complexity), Minimum-variance unbiased estimator, Materials science, Spatial filter, Magnetic nanoparticles, Tomography, Electrical and Electronic Engineering, Inverse problem, Biological system, Least squares, Noise (electronics), Electronic, Optical and Magnetic Materials |
| الوصف: | In magnetic nanoparticle tomography (MNT), the reduction of artefacts and the calculation time can be used to estimate the position of magnetic nanoparticles (MNPs). Non-negative least squares (NNLS) inverse problem analysis has been used in MNT systems for this task. However, owing to the presence of measurement noise and the high sensitivity of the NNLS method, it often estimates certain MNPs inaccurately, i.e., it generates artefacts. In addition, its calculation time is very high. In this study, we applied the minimum variance spatial filter (MV-SF) inverse problem analysis to MNT and estimated the position of an MNP sample containing 100 μ g of Fe. Using the MV-SF method, MNP samples placed at a depth of 25–40 mm were observed to have no artefacts. Moreover, the MV-SF method was also observed to be faster than the NNLS method by a factor of approximately 20. These results verify the feasibility of the MV-SF method for estimating the MNP positions in an MNT system. |
| تدمد: | 1941-0069 0018-9464 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::7cbce1b22ac42a74f96a611b95851fb7 https://doi.org/10.1109/tmag.2021.3078748 |
| حقوق: | CLOSED |
| رقم الأكسشن: | edsair.doi...........7cbce1b22ac42a74f96a611b95851fb7 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 19410069 00189464 |
|---|