Automated algorithms for improved pre-processing of magnetic relaxometry data

W. Stefan; K. Mathieu; S. L. Thrower; D. Fuentes; C. Kaffes; J. Sovizi; J. D. Hazle

doi:10.1117/12.2293859

9 March 2018 Automated algorithms for improved pre-processing of magnetic relaxometry data

W. Stefan, K. Mathieu, S. L. Thrower, D. Fuentes, C. Kaffes, J. Sovizi, J. D. Hazle

Proceedings Volume 10573, Medical Imaging 2018: Physics of Medical Imaging; 105733R (2018) https://doi.org/10.1117/12.2293859
Event: SPIE Medical Imaging, 2018, Houston, Texas, United States

Abstract

We present a novel method to pre-process magnetic relaxation (MRX) data. The method is used to estimates the initial magnetic field generated by Super Paramagnetic Nano Particles (SPIONs) from decay curves measured by superconducting quantum interference devices (SQUIDs). The curves are measured using a MagSense MRX Instrument (PrecisionMRX, Imagion Biosystems, Albuquerque, NM). We compare the initial field estimates to the standard method used by Imagion Biosystems. As compared to the standard method our new method results in more stable estimates in the presence of noise and allows monitoring of the long term stability of the MagSense MRX instrument. We demonstrate these findings with phantom scans conducted over the period of about one year.

Citation Download Citation

W. Stefan, K. Mathieu, S. L. Thrower, D. Fuentes, C. Kaffes, J. Sovizi, and J. D. Hazle "Automated algorithms for improved pre-processing of magnetic relaxometry data", Proc. SPIE 10573, Medical Imaging 2018: Physics of Medical Imaging, 105733R (9 March 2018); https://doi.org/10.1117/12.2293859

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