Paper
12 March 2015 Microscopic x-ray luminescence computed tomography
Wei Zhang, Dianwen Zhu, Kun Zhang, Changqing Li
Author Affiliations +
Proceedings Volume 9316, Multimodal Biomedical Imaging X; 93160M (2015) https://doi.org/10.1117/12.2076797
Event: SPIE BiOS, 2015, San Francisco, California, United States
Abstract
X-ray luminescence computed tomography (XLCT) was emerged as a new hybrid imaging modality, in which the x-rays are used to excite phosphors emitting optical photons to be measured for imaging. In this paper, we reported a microscopic x-ray luminescence computed tomography (microXLCT) with a spatial resolution up to hundreds of micrometers for deep targets. We use a superfine x-ray pencil beam to scan the phosphor targets. The superfine x-ray pencil beam is generated by a small collimator mounted in front of a powerful x-ray tube (93212, Oxford Instrument). A CT detector is used to image the x-ray beam. We have generated an x-ray beam with a diameter of 192 micrometers with a collimator of 100 micrometers in diameter. The emitted optical photons on the top surface of phantom are reflected by a mirror and acquired by an electron multiplier charge-coupled device (EMCCD) camera (C9100-13, Hamamatsu Photonics). The microXLCT imaging system is built inside an x-ray shielding and light tight cabinet. The EMCCD camera is placed in a lead box. All the imaging components are controlled by a VC++ program. The optical photon propagation is modeled with the diffusion equation solved by the finite element method. We have applied different regularization methods including L2 and L1 in the microXLCT reconstruction algorithms. Numerical simulations and phantom experiments are used to validate the microXLCT imaging system.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wei Zhang, Dianwen Zhu, Kun Zhang, and Changqing Li "Microscopic x-ray luminescence computed tomography", Proc. SPIE 9316, Multimodal Biomedical Imaging X, 93160M (12 March 2015); https://doi.org/10.1117/12.2076797
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Cited by 7 scholarly publications.
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KEYWORDS
X-rays

Collimators

Reconstruction algorithms

X-ray imaging

Photons

Luminescence

Spatial resolution

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