High-spatial-resolution nanoparticle x-ray fluorescence tomography

Jakob C. Larsson; William Vågberg; Carmen Vogt; Ulf Lundström; Daniel H. Larsson; Hans M. Hertz

doi:10.1117/12.2216770

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25 March 2016 High-spatial-resolution nanoparticle x-ray fluorescence tomography

Jakob C. Larsson, William Vågberg, Carmen Vogt, Ulf Lundström, Daniel H. Larsson, Hans M. Hertz

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Proceedings Volume 9783, Medical Imaging 2016: Physics of Medical Imaging; 97831V (2016) https://doi.org/10.1117/12.2216770
Event: SPIE Medical Imaging, 2016, San Diego, California, United States

Abstract

X-ray fluorescence tomography (XFCT) has potential for high-resolution 3D molecular x-ray bio-imaging. In this technique the fluorescence signal from targeted nanoparticles (NPs) is measured, providing information about the spatial distribution and concentration of the NPs inside the object. However, present laboratory XFCT systems typically have limited spatial resolution (>1 mm) and suffer from long scan times and high radiation dose even at high NP concentrations, mainly due to low efficiency and poor signal-to-noise ratio. We have developed a laboratory XFCT system with high spatial resolution (sub-100 μm), low NP concentration and vastly decreased scan times and dose, opening up the possibilities for in-vivo small-animal imaging research. The system consists of a high-brightness liquid-metal-jet microfocus x-ray source, x-ray focusing optics and an energy-resolving photon-counting detector. By using the source’s characteristic 24 keV line-emission together with carefully matched molybdenum nanoparticles the Compton background is greatly reduced, increasing the SNR. Each measurement provides information about the spatial distribution and concentration of the Mo nanoparticles. A filtered back-projection method is used to produce the final XFCT image.

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Jakob C. Larsson, William Vågberg, Carmen Vogt, Ulf Lundström, Daniel H. Larsson, and Hans M. Hertz "High-spatial-resolution nanoparticle x-ray fluorescence tomography", Proc. SPIE 9783, Medical Imaging 2016: Physics of Medical Imaging, 97831V (25 March 2016); https://doi.org/10.1117/12.2216770

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