X-ray luminescence computed tomography via selective excitation: a feasibility study.
X-ray luminescence computed tomography (XLCT) is proposed as a new molecular imaging modality based on the selective excitation and optical detection of X-ray-excitable phosphor nanoparticles. These nano-sized particles can be fabricated to emit near-infrared (NIR) light when excited with X-rays, and, because because both X-rays and NIR photons propagate long distances in tissue, they are particularly well suited for in vivo biomedical imaging. In XLCT, tomographic images are generated by irradiating the subject using a sequence of programmed X-ray beams, while sensitive photo-detectors measure the light diffusing out of the subject. By restricting the X-ray excitation to a single, narrow beam of radiation, the origin of the optical photons can be inferred regardless of where these photons were detected, and how many times they scattered in tissue. This study presents computer simulations exploring the feasibility of imaging small objects with XLCT, such as research animals. The accumulation of 50 nm phosphor nanoparticles in a 2-mm-diameter target can be detected and quantified with subpicomolar sensitivity using less than 1 cGy of radiation dose. Provided sufficient signal-to-noise ratio, the spatial resolution of the system can be made as high as needed by narrowing the beam aperture. In particular, 1 mm spatial resolution was achieved for a 1-mm-wide X-ray beam. By including an X-ray detector in the system, anatomical imaging is performed simultaneously with molecular imaging via standard X-ray computed tomography (CT). The molecular and anatomical images are spatially and temporally co-registered, and, if a single-pixel X-ray detector is used, they have matching spatial resolution.
Pratx
Guillem
G
Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA 94305, USA. pratx@stanford.edu
Carpenter
Colin M
CM
Sun
Conroy
C
Xing
Lei
L
D000465:Algorithms; D003198:Computer Simulation; D005240:Feasibility Studies; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008163:Luminescent Measurements / Q000379:methods*; D008962:Models, Theoretical; D057054:Molecular Imaging; D009010:Monte Carlo Method; D053758:Nanoparticles / Q000737:chemistry*; D019047:Phantoms, Imaging; D014057:Tomography, X-Ray Computed / Q000379:methods*