Image reconstruction from sparse data ion synchrotron-radiation-based micro-tomography.
- X-Ray Science Division
Synchrotron-radiation-based microcomputed-tomography (SR-{micro}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-{micro}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-{micro}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-{micro}CT imaging experiment.
- Research Organization:
- Argonne National Lab. (ANL), Argonne, IL (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC); National Institutes of Health (NIH); DOD Predoctoral Training Grant
- DOE Contract Number:
- DE-AC02-06CH11357
- OSTI ID:
- 1014849
- Report Number(s):
- ANL/XSD/JA-69506; TRN: US201111%%385
- Journal Information:
- Rev. Sci. Instrum., Vol. 82, Issue 4 ; 2011
- Country of Publication:
- United States
- Language:
- ENGLISH
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