Publisher DOI: 10.1088/1361-6560/ab0fc9
Title: Discriminating nanoparticle core size using multi-contrast MPI
Language: English
Authors: Shasha, Carolyn 
Teeman, Eric 
Krishnan, Kannan M. 
Szwargulski, Patryk 
Knopp, Tobias 
Möddel, Martin  
Keywords: functional imaging; magnetic nanoparticles; magnetic particle imaging; magnetic particle spectroscopy; multi-contrast magnetic particle imaging
Issue Date: 29-Mar-2019
Source: Physics in Medicine and Biology 7 (64): 074001 (2019-03-29)
Abstract (english): 
Magnetic particle imaging (MPI) is an imaging modality that detects the response of a distribution of magnetic nanoparticle tracers to alternating magnetic fields. There has recently been exploration into multi-contrast MPI, in which the signal from different tracer materials or environments is separately reconstructed, resulting in multi-channel images that could enable temperature or viscosity quantification. In this work, we apply a multi-contrast reconstruction technique to discriminate between nanoparticle tracers of different core sizes. Three nanoparticle types with core diameters of 21.9 nm, 25.3 nm and 27.7 nm were each imaged at 21 different locations within the scanner field of view. Multi-channel images were reconstructed for each sample and location, with each channel corresponding to one of the three core sizes. For each image, signal weight vectors were calculated, which were then used to classify each image by core size. With a block averaging length of 10 000, the median signal-to-noise ratio was 40 or higher for all three sample types, and a correct prediction rate of 96.7% was achieved, indicating that core size can effectively be predicted using signal weight vector classification with close to 100% accuracy while retaining high MPI image quality. The discrimination of the core size was reliable even when multiple samples of different core sizes were placed in the measuring field.
ISSN: 0031-9155
Journal: Physics in medicine and biology 
Institute: Biomedizinische Bildgebung E-5 
Document Type: Article
Project: Modellbasierte Parameteridentifikation in Magnetic Particle Imaging 
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