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Calibration-Free Relaxation-Based Multi-Color Magnetic Particle Imaging.
IEEE Trans Med Imaging ; 37(8): 1920-1931, 2018 08.
Article en En | MEDLINE | ID: mdl-29993774
ABSTRACT
Magnetic particle imaging (MPI) is a novel imaging modality with important potential applications, such as angiography, stem cell tracking, and cancer imaging. Recently, there have been efforts to increase the functionality of MPI via multi-color imaging methods that can distinguish the responses of different nanoparticles, or nanoparticles in different environmental conditions. The proposed techniques typically rely on extensive calibrations that capture the differences in the harmonic responses of the nanoparticles. In this paper, we propose a method to directly estimate the relaxation time constant of the nanoparticles from the MPI signal, which is then used to generate a multi-color relaxation map. The technique is based on the underlying mirror symmetry of the adiabatic MPI signal when the same region is scanned back and forth. We validate the proposed method via simulations, and via experiments on our in-house magnetic particle spectrometer setup at 10.8 kHz and our in-house MPI scanner at 9.7 kHz. Our results show that nanoparticles can be successfully distinguished with the proposed technique, without any calibration or prior knowledge about the nanoparticles.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Procesamiento de Señales Asistido por Computador / Diagnóstico por Imagen / Nanopartículas de Magnetita Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: IEEE Trans Med Imaging Año: 2018 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Procesamiento de Señales Asistido por Computador / Diagnóstico por Imagen / Nanopartículas de Magnetita Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: IEEE Trans Med Imaging Año: 2018 Tipo del documento: Article
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