Literature DB >> 25474808

Optimized Detector Angular Configuration Increases the Sensitivity of X-ray Fluorescence Computed Tomography (XFCT).

Moiz Ahmad, Magdalena Bazalova-Carter, Rebecca Fahrig, Lei Xing.   

Abstract

In this work, we demonstrated that an optimized detector angular configuration based on the anisotropic energy distribution of background scattered X-rays improves X-ray fluorescence computed tomography (XFCT) detection sensitivity. We built an XFCT imaging system composed of a bench-top fluoroscopy X-ray source, a CdTe X-ray detector, and a phantom motion stage. We imaged a 6.4-cm-diameter phantom containing different concentrations of gold solution and investigated the effect of detector angular configuration on XFCT image quality. Based on our previous theoretical study, three detector angles were considered. The X-ray fluorescence detector was first placed at 145 (°) (approximating back-scatter) to minimize scatter X-rays. XFCT image quality was compared to images acquired with the detector at 60 (°) (forward-scatter) and 90 (°) (side-scatter). The datasets for the three different detector positions were also combined to approximate an isotropically arranged detector. The sensitivity was optimized with detector in the 145 (°) back-scatter configuration counting the 78-keV gold Kβ1 X-rays. The improvement arose from the reduced energy of scattered X-ray at the 145 (°) position and the large energy separation from gold K β1 X-rays. The lowest detected concentration in this configuration was 2.5 mgAu/mL (or 0.25% Au with SNR = 4.3). This concentration could not be detected with the 60 (°) , 90 (°) , or isotropic configurations (SNRs = 1.3, 0, 2.3, respectively). XFCT imaging dose of 14 mGy was in the range of typical clinical X-ray CT imaging doses. To our knowledge, the sensitivity achieved in this experiment is the highest in any XFCT experiment using an ordinary bench-top X-ray source in a phantom larger than a mouse ( > 3 cm).

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Year:  2014        PMID: 25474808     DOI: 10.1109/TMI.2014.2376813

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  7 in total

1.  Experimental validation of L-shell x-ray fluorescence computed tomography imaging: phantom study.

Authors:  Magdalena Bazalova-Carter; Moiz Ahmad; Lei Xing; Rebecca Fahrig
Journal:  J Med Imaging (Bellingham)       Date:  2015-10-08

2.  Feasibility study of Compton cameras for x-ray fluorescence computed tomography with humans.

Authors:  Don Vernekohl; Moiz Ahmad; Garry Chinn; Lei Xing
Journal:  Phys Med Biol       Date:  2016-11-15       Impact factor: 3.609

3.  Sensitivity enhancement of an experimental benchtop x-ray fluorescence imaging system by deploying a single crystal cadmium telluride detector system optimized for high flux x-ray operations.

Authors:  Hem Moktan; Sandun Jayarathna; Sang Hyun Cho
Journal:  Nucl Instrum Methods Phys Res A       Date:  2021-12-13       Impact factor: 1.455

4.  Plasmonic Optical Imaging of Gold Nanorods Localization in Small Animals.

Authors:  Keying Xu; Junwei Shi; Ali Pourmand; Thirupandiyur S Udayakumar; Nesrin Dogan; Weizhao Zhao; Alan Pollack; Yidong Yang
Journal:  Sci Rep       Date:  2018-06-19       Impact factor: 4.379

5.  Localising functionalised gold-nanoparticles in murine spinal cords by X-ray fluorescence imaging and background-reduction through spatial filtering for human-sized objects.

Authors:  Florian Grüner; Florian Blumendorf; Oliver Schmutzler; Theresa Staufer; Michelle Bradbury; Ulrich Wiesner; Tanja Rosentreter; Gabriele Loers; David Lutz; Bernadette Richter; Markus Fischer; Florian Schulz; Swantje Steiner; Martin Warmer; Anja Burkhardt; Alke Meents; Matthew Kupinski; Christoph Hoeschen
Journal:  Sci Rep       Date:  2018-11-08       Impact factor: 4.379

6.  Pinhole X-ray fluorescence imaging of gadolinium and gold nanoparticles using polychromatic X-rays: a Monte Carlo study.

Authors:  Seongmoon Jung; Wonmo Sung; Sung-Joon Ye
Journal:  Int J Nanomedicine       Date:  2017-08-11

7.  A consistency evaluation of signal-to-noise ratio in the quality assessment of human brain magnetic resonance images.

Authors:  Shaode Yu; Guangzhe Dai; Zhaoyang Wang; Leida Li; Xinhua Wei; Yaoqin Xie
Journal:  BMC Med Imaging       Date:  2018-05-16       Impact factor: 1.930

  7 in total

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