The potential of L-shell X-ray fluorescence CT (XFCT) for molecular imaging

Bazalova‐Carter, Magdalena

doi:10.1259/bjr.20140308

Cited by 9 publications

(6 citation statements)

References 17 publications

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“…The authors claimed this was the highest sensitivity reported to date for a benchtop XRF-CT system and that the work formed the basis for signicant future improvements in sensitivity. Perhaps reecting the challenges for Au K line spectroscopy with tungsten target X-ray sources in XRF-CT, Bazalova-Carter 48 presented in a very readable commentary, the advantages and drawbacks of using L series XRF lines for such measurements. Although potentially high sensitivity could be expected for gold and platinum L series XRF lines, the Achilles heel remained the short penetrating depth of the XRF signals leading to the conclusion that such an approach would be limited to small animal CT.…”

Section: Laboratory Instruments and Excitation Sourcesmentioning

confidence: 99%

2016 Atomic Spectrometry Update – a review of advances in X-ray fluorescence spectrometry and its applications

West¹,

Ellis

Potts

et al. 2016

J. Anal. At. Spectrom.

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Section: Laboratory Instruments and Excitation Sourcesmentioning

confidence: 99%

2016 Atomic Spectrometry Update – a review of advances in X-ray fluorescence spectrometry and its applications

West¹,

Ellis

Potts

et al. 2016

J. Anal. At. Spectrom.

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“…K-shell XFT enables imaging at larger depth in tissue. L-shell XFT can be used to image shallow tumors, but with higher detection sensitivity, due to increased photoelectric cross-section, reduced Compton scattering, and better detector energy resolution at lower energy (18)(19)(20). L-shell XFT has been verified by Monte Carlo simulation for its higher sensitivity (3.0-4.4 times better than K-shell imaging) in imaging small objects (21).…”

Section: Introductionmentioning

confidence: 99%

Quantitative X-ray fluorescence imaging of gold nanoparticles using joint L1 and total variation regularized reconstruction

Shi¹,

Granger²,

Xu³

et al. 2020

Quant Imaging Med Surg

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Background: This work proposed a joint L1 and total variation (TV) regularized reconstruction method for X-ray fluorescence tomography (XFT), and investigated the performance of this method in quantitative imaging of gold nanoparticles (GNPs). Methods:We developed a dual-modality XFT/CT imaging system which consisted of a benchtop X-ray source, a translation/rotation stage, a silicon drift detector for X-ray fluorescence (XRF) detection, and a flat panel detector for transmission X-ray detection. A pencil-beam collimator was 3D printed with steel and employed in sample excitation. The sensitivity of the XFT imaging system was determined by imaging water phantoms with multiple inserts containing GNP solutions of various concentrations (0.02-0.16 wt.%).A joint L1 and total variation (TV) regularized algorithm was developed for XFT reconstruction, where the L1 regularization was used to reduce image artifacts and the TV regularization was used to preserve the shape of targets. Nonlinear conjugate gradient (NCG) descent algorithm with backtracking line search was adopted to solve the reconstruction problem. We compared the L1 + TV regularization method with filtered back projection (FBP), maximum likelihood expectation maximization (ML-EM), L1 regularization, and TV regularization methods. Contrast-to-noise ratio (CNR), Dice similarity coefficient (DSC) and localization error (LE) metrics were used to compare the performance of different methods. The CT and XFT imaging doses were also measured using EBT2 radiochromic films.Results: The 3D printed pencil-beam collimator shaped an excitation beam with a 2 mm full width at half maximum at the imaging isocenter. Based on the phantom imaging experiments, the joint L1 and TV regularization method performed better than FBP, ML-EM, L1 regularization and TV regularization methods, with higher localization accuracy (offset <0.6 mm), CNR and DSC values. Compared with CT, XFT with L1 + TV regularized reconstruction demonstrated higher sensitivity in GNP imaging, and could detect GNP at a concentration of 0.02 wt.% or lower. Moreover, there existed a significant linear correlation (R 2 >0.99) between the reconstructed and true GNP concentration. The estimated XFT imaging dose is about 41.22 cGy under current setting. Conclusions:The joint L1 + TV regularized reconstruction algorithm performed better in noise suppression and shape preservation. Using the L1 + TV regularized reconstruction, the XFT system is able to localize GNP targets with submillimeter accuracy and quantify GNP distribution at a concentration of 0.02 wt.% or lower.

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“…X -ray fluorescence computed tomography (XFCT) is a tomographic imaging modality known for its highsensitivity as well as its capacity of determining the distribution of sufficiently high atomic number elements inside the sample. 1 These two features have made it a popular imaging tool for the analysis of samples in numerous research fields. For instance, XFCT has been used to visualize the distribution of iron in biological samples, such as Arabidopsis seeds.…”

mentioning

confidence: 99%

Quantitative Reconstruction of Polychromatic X-ray Fluorescence Computed Tomography Using Transmission Tomography

et al. 2021

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The potential of L-shell X-ray fluorescence CT (XFCT) for molecular imaging

Cited by 9 publications

References 17 publications

2016 Atomic Spectrometry Update – a review of advances in X-ray fluorescence spectrometry and its applications

2016 Atomic Spectrometry Update – a review of advances in X-ray fluorescence spectrometry and its applications

Quantitative X-ray fluorescence imaging of gold nanoparticles using joint L1 and total variation regularized reconstruction

Quantitative Reconstruction of Polychromatic X-ray Fluorescence Computed Tomography Using Transmission Tomography

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