ABSTRACT
The insufficient energy and spatial resolutions of radionuclide imaging with conventional scintillation detectors restrict the visualization of multiple radionuclides and of microstructures in tissue. Here we report the development and performance of an imaging system equipped with a cadmium telluride diode detector that achieves an energy resolution of 1.7% at 140 keV and a spatial resolution of 250 µm. The combination of high-resolution spectra fitted to an X-ray analysis model of the emission lines of the radionuclides in a chosen energy band allowed us to accurately determine individual radiation activities from three radionuclides to simultaneously visualize thyroid tissue (via intravenously administered iodine-125), mandibular lymph nodes (via the intramuscular injection of indium-111) and parotid lymph nodes (via a subcutaneous injection of technetium-99m) in mice. Multi-radionuclide imaging may find advantageous applications in biomedical imaging.
Subject(s)
Technetium , Animals , MiceABSTRACT
Elemental analysis based on muonic X-rays resulting from muon irradiation provides information about bulk material composition without causing damage, which is essential in the case of precious or otherwise unreachable samples, such as in archeology and planetary science. We developed a three-dimensional (3D) elemental analysis technique by combining the elemental analysis method based on negative muons with an imaging cadmium telluride double-sided strip detector (CdTe-DSD) designed for the hard X-ray and soft [Formula: see text]-ray observation. A muon irradiation experiment using spherical plastic samples was conducted at the Japan Proton Accelerator Research Complex (J-PARC); a set of projection images was taken by the CdTe-DSD, equipped with a pinhole collimator, for different sample rotation angles. The projection images measured by the CdTe-DSD were utilized to obtain a 3D volumetric phantom by using the maximum likelihood expectation maximization algorithm. The reconstructed phantom successfully revealed the 3D distribution of carbon in the bulk samples and the stopping depth of the muons. This result demonstrated the feasibility of the proposed non-destructive 3D elemental analysis method for bulk material analysis based on muonic X-rays.
