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High-spatial-resolution nanoparticle X-ray fluorescence tomography
KTH, School of Engineering Sciences (SCI), Applied Physics, Biomedical and X-ray Physics.
KTH, School of Engineering Sciences (SCI), Applied Physics, Biomedical and X-ray Physics.
KTH, School of Engineering Sciences (SCI), Applied Physics, Biomedical and X-ray Physics.
KTH, School of Engineering Sciences (SCI), Applied Physics, Biomedical and X-ray Physics.
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2016 (English)In: MEDICAL IMAGING 2016: PHYSICS OF MEDICAL IMAGING, 2016, 97831VConference paper (Refereed)Text
Abstract [en]

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 mu m), 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.

Place, publisher, year, edition, pages
2016. 97831V
Series
, Proceedings of SPIE, ISSN 0277-786X ; 9783
Keyword [en]
XFCT, XRF, nanoparticles, molybdenum, fluorescence, x-ray imaging, tomography, molecular imaging
National Category
Medical Image Processing
Identifiers
URN: urn:nbn:se:kth:diva-189836DOI: 10.1117/12.2216770ISI: 000378352900064ISBN: 978-1-5106-0018-8OAI: oai:DiVA.org:kth-189836DiVA: diva2:949253
Conference
Conference on Medical Imaging - Physics of Medical Imaging, FEB 28-MAR 02, 2016, San Diego, CA
Note

QC 20160718

Available from: 2016-07-18 Created: 2016-07-15 Last updated: 2016-07-18Bibliographically approved

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Larsson, Jakob C.Vågberg, WilliamVogt, CarmenLundström, UlfLarsson, Daniel H.Hertz, Hans M.
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Biomedical and X-ray Physics
Medical Image Processing

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