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Article type: Research Article
Authors: Liu, Fenglin; | Yu, Hengyong | Cong, Wenxiang | Wang, Ge
Affiliations: Key Lab of Optoelectronic Technology and Systems, Engineering Research Center of Industrial Computed Tomography Nondestructive Testing, Ministry of Education, Chongqing University, Chongqing, China | Biomedical Imaging Center, Center for Biotechnology and Interdisciplinary Studies, Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA | Department of Biomedical Engineering, VT-WFU School of Biomedical Engineering and Sciences, Wake Forest University Health Sciences, NC, USA
Note: [] Corresponding author: Ge Wang, Biomedical Imaging Center, CBIS/BME, Rensselaer Polytechnic Institute, Troy, NY 12180, USA. E-mail: wangg6@rpi.edu
Abstract: The goal is to develop new architectures for computed tomography (CT) which are at an ultra-low-cost for developing countries, especially in rural areas. The proposed general scheme is inspired by the recently developed compressive sensing and interior tomography techniques, where the data acquisition system targets a region of interest (ROI) to acquire limited and truncated data. Similar to linear tomosynthesis, the source and detector are translated in opposite directions but in contrast to conventional tomosynthesis, our proposal is for either ROI reconstruction with one or more localized linear scans or global reconstruction by combining multiple ROI reconstructions. In other words, the popular slip ring is replaced by a translation based setup, and the instrumentation cost is reduced by a relaxation of the imaging speed requirement. The various translational scanning modes are theoretically analyzed, and the scanning parameters are optimized. The numerical simulation results from different numbers of linear scans confirm the feasibility of the proposed scheme, and suggest two preferred low-end systems for horizontal and vertical patient positions respectively. Ultra-low-cost x-ray CT is feasible with our proposed combination of linear scanning, compressive sensing, and interior tomography. The proposed architecture can be tailored into permanent, movable, or reconfigurable systems as desirable. Advanced image registration and spectral imaging features can be included as well.
Keywords: Computed tomography (CT), linear scanning, compressive sensing, interior tomography, low-cost
DOI: 10.3233/XST-140453
Journal: Journal of X-Ray Science and Technology, vol. 22, no. 5, pp. 673-686, 2014
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