| Zugriffsnummer | 45110 |
| Dokumenttyp | Zeitschriftenartikel |
| Peer Review | mit Peer Review |
| Sprache | Englisch |
| Titel | Optimizing excitation coil currents for advanced magnetorelaxometry imaging |
| Autor(in); Institution |
Schier, P.; Institute of Electrical and Biomedical Engineering, UMIT - Private University for Health Sciences, Medical Informatics and Technology, Hall in Tirol, AUSTRIA
Liebl, Maik; 8.2, Biosignale, PTB-Berlin
Steinhoff, Uwe; 8.2, Biosignale, PTB-Berlin
Handler, M.; Institute of Electrical and Biomedical Engineering, UMIT - Private University for Health Sciences, Medical Informatics and Technology, Hall in Tirol, AUSTRIA
Wiekhorst, Frank; 8.2, Biosignale, PTB-Berlin
Baumgarten, D.; Institute of Electrical and Biomedical Engineering, UMIT - Private University for Health Sciences, Medical Informatics and Technology, Hall in Tirol, AUSTRIA; Institute of Biomedical Engineering and Informatics, Technische Universität Ilmenau, Ilmenau, GERMANY
|
| Quelle/Jahr | Journal of Mathematical Imaging and Vision: 62 (2019), 238 - 252 |
| ISSN | 0924-9907 (PRINT) ; 1573-7683 (ONLINE) |
| DOI | |
| Verlag | Dordrecht [u.a.]: Springer |
| Freie Schlagworte | Condition number ; Imaging ; Inverse problem ; Magnetic nanoparticles ; Magnetorelaxometry ; Optimization |
| Zusammenfassung | Magnetorelaxometry imaging is a highly sensitive technique enabling noninvasive, quantitative detection ofmagnetic nanoparticles. Electromagnetic coils are sequentially energized, aligning the nanoparticles’ magnetic moments. Relaxation signals are recorded after turning off the coils. The forward model describing this measurement process is reformulated into a severely ill-posed inverse problem that is solved for estimating the particle distribution. Typically, many activation sequences employing different magnetic fields are required to obtain reasonable imaging quality. We seek to improve the imaging quality and accelerate the imaging process using fewer activation sequences by optimizing the applied magnetic fields. Minimizing the Frobenius condition number of the system matrix, we stabilize the inverse problem solution toward model uncertainties and measurement noise. Furthermore, our sensitivity-weighted reconstruction algorithms improve imaging quality in lowly sensitive areas. The optimization approach is employed to real measurement data and yields improved reconstructions with fewer activation sequences compared to non-optimized measurements. |
| Kostenfreier Zugang | Open Access Hybrid |
| Rechteinformation | CC BY 4.0 ; Creative Commons Attribution 4.0 License |
| Themenbereich der Metrologie | Metrologie in der Medizin |
| Forschungsprojekt | Financial support by the German Science Foundation (DFG) within the priority program 1798 (Grant BA 4858/2-1), the priority program 1681 (Grant WI 4230/1-3), and the DFG core facility for the measurement of ultra-low magnetic fields (Grants TR 408/11-1 and KO 5321/3-1) is gratefully acknowledged |
Zitierung
Schier, P., Liebl, M., Steinhoff, U., Handler, M., Wiekhorst, F., & Baumgarten, D. (2019). Optimizing excitation coil currents for advanced magnetorelaxometry imaging. Journal of Mathematical Imaging and Vision, 62, 238–252. https://doi.org/10.1007/s10851-019-00934-8