3D x-ray reconstruction using lightfield imaging

被引:1
作者
Saha, Sajib [1 ]
Tahtali, Murat [1 ]
Lambert, Andrew [1 ]
Pickering, Mark [1 ]
机构
[1] UNSW Canberra, Sch Engn & Informat Technol, Canberra, ACT, Australia
来源
ADVANCES IN COMPUTATIONAL METHODS FOR X-RAY OPTICS III | 2014年 / 9209卷
关键词
Computed tomography; X-ray; CT; algebraic reconstruction technique; ART; compressed sensing; iterative reconstruction; COMPRESSED SENSING PICCS;
D O I
10.1117/12.2061529
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Existing Computed Tomography (CT) systems require full 360. rotation projections. Using the principles of lightfield imaging, only 4 projections under ideal conditions can be sufficient when the object is illuminated with multiple-point X-ray sources. The concept was presented in a previous work with synthetically sampled data from a synthetic phantom. Application to real data requires precise calibration of the physical set up. This current work presents the calibration procedures along with experimental findings for the reconstruction of a physical 3D phantom consisting of simple geometric shapes. The crucial part of this process is to determine the effective distances of the X-ray paths, which are not possible or very difficult by direct measurements. Instead, they are calculated by tracking the positions of fiducial markers under prescribed source and object movements. Iterative algorithms are used for the reconstruction. Customized backprojection is used to ensure better initial guess for the iterative algorithms to start with.
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页数:11
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