X-ray Fluorescence Computed Tomography (XFCT) Imaging with a Superfine Pencil Beam X-ray Source

X-ray fluorescence computed tomography (XFCT) is a molecular imaging technique that can be used to sense different elements or nanoparticle (NP) agents inside deep samples tissues. However, XFCT has not been popular tool because it limited sensitivity and spatial resolution. We present benchtop system in which superfine pencil-beam source ring of spectrometers were simulated using GATE (Geant4 Application for Tomographic Emission) Monte Carlo software. An accelerated majorization minimization (MM) algorithm with an L1 regularization scheme was reconstruct the image molybdenum (Mo) NP targets. Good target localization achieved DICE coefficient 88.737%. The reconstructed signal targets found proportional concentrations if detector number, placement, angular projection number are optimized. MM performance compared maximum likelihood expectation maximization (ML-EM) filtered back (FBP) algorithms. Our results indicate superior ML-EM FBP able as small 0.25 mm diameter. also measurements three projections 20-detector enough images.