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Author Spotlight: Enhancing Accuracy and Reproducibility in Whole Bone Bending Tests
Published on: September 1, 2023
Triple-energy photon-counting x-ray imaging for bone-strontium estimation: A simulation study
Jesse Tanguay1, Bobby Tang1, Eric Da Silva1
1Department of Physics, Toronto Metropolitan University, Toronto, Canada.
Background:
Strontium quantification in bone is clinically relevant but typically requires specialized stand-alone systems. Photon-counting detectors offer energy-resolved imaging that may enable low-dose estimation of both strontium concentration and bone mineral density in a single acquisition.
Purpose:
To evaluate the feasibility of triple-energy photon-counting x-ray imaging for low-dose quantification of strontium in bone, using a simulation framework that accounts for energy bin sensitivity, detector noise, and anatomical geometry.
Methods:
A forward model of a photon-counting detector was used to simulate energy-resolved x-ray measurements through a simplified model of the human finger, incorporating cortical bone, trabecular bone, and soft tissue. Strontium uptake was modeled as a mass concentration relative to bone. A generalized least-squares estimator was used to compute the strontium-to-bone concentration from energy-resolved measurements. We optimized tube voltage and energy thresholds for three clinically relevant anode/filter combinations and three levels of electronic noise (5, 10, and 15 keV), with the goal of minimizing the limit of quantification (LOQ) and absorbed dose. A Fisher information analysis was conducted to assess the relative contribution of each energy bin to estimation precision.
Results:
Optimal tube voltages and thresholds depended strongly on electronic noise but only modestly on anode/filter choice. At a 5 keV noise floor, an LOQ of 100 ppm could be achieved with an absorbed dose of 13 , whereas 10 and 15 keV noise levels required 100 and >175 , respectively. At a fixed dose of 20 , reliable detection (SNR > 1) was possible at concentrations as low as 50 ppm for 5 and 10 keV noise floors. The mid-energy bin consistently contributed the most to estimation precision across all scenarios. At low noise, the high-energy bin was second most informative; at higher noise levels, the low-energy bin overtook it due to shifting energy thresholds that placed the strontium K-edge ( 16 keV) in the lower bins.
Conclusions:
Triple-energy photon-counting x-ray imaging offers a promising strategy for low-dose quantification of strontium in bone. Its performance is primarily limited by electronic noise, while spectral shaping through anode and filter selection plays a secondary role when acquisition parameters are optimized.
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