Calibration-Free Relaxation-Based Multi-Color Magnetic Particle Imaging
| Autor: | Emine Ulku Saritas, Mustafa Utkur, Omer Burak Demirel, Yavuz Muslu |
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| Přispěvatelé: | Muslu, Yavuz, Utkur, Mustafa, Demirel, Ömer Burak, Sarıtaş, Emine Ülkü |
| Rok vydání: | 2017 |
| Předmět: |
Diagnostic Imaging
Materials science Mirror symmetry FOS: Physical sciences Image processing 02 engineering and technology Iterative reconstruction Tracking (particle physics) Direct estimation 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Magnetic particle imaging Optics Medical imaging Image Processing Computer-Assisted Nanoparticle relaxation Electrical and Electronic Engineering Magnetite Nanoparticles Signal processing Radiological and Ultrasound Technology Spectrometer business.industry Phantoms Imaging Relaxation (NMR) Signal Processing Computer-Assisted 021001 nanoscience & nanotechnology Physics - Medical Physics Computer Science Applications Multi-Color MPI Medical Physics (physics.med-ph) 0210 nano-technology business Software Algorithms |
| Zdroj: | IEEE Transactions on Medical Imaging |
| DOI: | 10.48550/arxiv.1705.07624 |
| Popis: | Magnetic Particle Imaging (MPI) is a novel imaging modality with important 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 work, 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 extensive simulations, and via experiments on our in-house Magnetic Particle Spectrometer (MPS) setup at 550 Hz 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. Comment: Submitted to IEEE Transactions on Medical Imaging |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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