101. Image reconstruction from sparse data in synchrotron-radiation-based microtomography
- Author
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ARGONNE NATIONAL LAB IL ADVANCED PHOTON SOURCE, Xia, D, Xiao, X, Bian, J, Han, X, Sidky, E Y, De Carlo, F, Pan, X, ARGONNE NATIONAL LAB IL ADVANCED PHOTON SOURCE, Xia, D, Xiao, X, Bian, J, Han, X, Sidky, E Y, De Carlo, F, and Pan, X
- Abstract
Synchrotron-radiation-based microcomputed-tomography (SR- CT) is a powerful tool for yielding 3D structural information of high spatial and contrast resolution about a specimen preserved in its natural state. A large number of projection views are required currently for yielding SR- CT images by use of existing algorithms without significant artifacts. When a wet biological specimen is imaged, synchrotron x-ray radiation from a large number of projection views can result in significant structural deformation within the specimen. A possible approach to reducing imaging time and specimen deformation is to decrease the number of projection views. In the work, using reconstruction algorithms developed recently for medical computed tomography (CT), we investigate and demonstrate image reconstruction from sparse-view data acquired in SR- CT. Numerical results of our study suggest that images of practical value can be obtained from data acquired at a number of projection views significantly lower than those used currently in a typical SR- CT imaging experiment., Published in the Review of Scientific Instruments, v82 article ID 043706, 18 Apr 2011. Prepared in collaboration with the Department of Radiology, The University of Chicago, Chicago, IL and the Institute of Biomedical and Health Engineering and Key Laboratory for Biomedical Informatics and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China. Sponsored in part by DoE DE-AC02-06CH11357 and NIH CA120540, EB000225, S10 RR021039 and P30 CA14599.
- Published
- 2011