Experimental demonstration of x-space magnetic particle imaging

Patrick W. Goodwill; Steven M. Conolly

doi:10.1117/12.878659

9 March 2011 Experimental demonstration of x-space magnetic particle imaging

Patrick W. Goodwill, Steven M. Conolly

Proceedings Volume 7965, Medical Imaging 2011: Biomedical Applications in Molecular, Structural, and Functional Imaging; 79650U (2011) https://doi.org/10.1117/12.878659
Event: SPIE Medical Imaging, 2011, Lake Buena Vista (Orlando), Florida, United States

Abstract

We have developed a new systems theory for analyzing Magnetic Particle Imaging (MPI), x-space MPI, that motivates an image reconstruction technique requiring only a simple scaling and mapping of the raw signal to image space. As a result, reconstruction time scales linearly with image size. Moreover, we expect there to be no noise gain due to performing a matrix inverse. Reconstruction is simple and can be performed in real-time. Furthermore, there is no "System Function" and no requirement to pre-characterize the nanoparticle in the imaging system before imaging. So far, there has not been an experimental test of the x-space theory on an imaging system. In this paper we begin by describing the theoretical signal that we would expect from the imager for a SPIO nanoparticle source. We then construct a small scale MPI imager to test x-space. We conclude with images from the x-space scanner using the iron oxide tracer Resovist. Our preliminary images show 1.6 mm spatial resolution using a 6.0 T/m gradient that closely matches the expected image resolution from x-space theory. In conclusion, our data supports the theory that MPI can be considered a linear, shift invariant system. This bodes well for the future as we scale MPI scanners to human sizes as large images can be reconstructed simply and rapidly.

Citation Download Citation

Patrick W. Goodwill and Steven M. Conolly "Experimental demonstration of x-space magnetic particle imaging", Proc. SPIE 7965, Medical Imaging 2011: Biomedical Applications in Molecular, Structural, and Functional Imaging, 79650U (9 March 2011); https://doi.org/10.1117/12.878659

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