Abstract
Magnetic particle imaging (MPI) is a novel tomographic imaging technique, which visualizes the distribution of a magnetic nanoparticle-based tracer material. However, reconstructed MPI images often suffer from an insufficiently compensated image background caused by rapid non-deterministic changes in the background signal of the imaging device. In particular, the signal-to-background ratio (SBR) of the images is reduced for lower tracer concentrations or longer acquisitions. The state-of-the-art procedure in MPI is to frequently measure the background signal during the sample measurement. Unfortunately, this requires a removal of the entire object from the scanner's field of view (FOV), which introduces dead time and repositioning artifacts. To overcome these considerable restrictions, we propose a novel method that uses two consecutive image acquisitions as input parameters for a simultaneous reconstruction of the tracer distribution, as well as the background signal. The two acquisitions differ by just a small spatial shift, while keeping the object always within the focus of a slightly reduced FOV. A linearly interpolated background between the initial and final background measurement is used to seed the iterative reconstruction. The method has been tested with simulations and phantom measurements. Overall, a substantial reduction of the image background was observed, and the image SBR is increased by a factor of 2(7) for the measurement (simulation) data.
Highlights
M AGNETIC particle imaging (MPI) is a novel tracer based imaging technology [1], which quantitatively measures the concentration distribution of a tracer of superparamagnetic iron oxide nanoparticles (SPIO)
The studies presented in this work are executed on the three-dimensional Magnetic particle imaging (MPI) scanner published in [2] which uses electronic field free point (FFP) movement for tomographic image acquisition
For β = 0.1, a good signal to background ratio (SBR) is achieved for a wide range of values of SNRmeas
Summary
M AGNETIC particle imaging (MPI) is a novel tracer based imaging technology [1], which quantitatively measures the concentration distribution of a tracer of superparamagnetic iron oxide nanoparticles (SPIO). Its fast volumetric in vivo imaging capability with 46 volumes per second at a physiological relevant tracer dosage makes MPI especially. Manuscript received October 27, 2017; accepted November 22, 2017. Date of publication January 26, 2018; date of current version May 1, 2018.
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