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Accession Number ADA590173
Title Image reconstruction from sparse data in synchrotron-radiation-based microtomography.
Publication Date Apr 2011
Media Count 10p
Personal Author D. Xia E. Y. Sidky J. Bian X. Han X. Xiao
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.
Keywords Algorithms
Asd pocs algorithms
Asd(Adaptively the steepest descent)
Computerized tomography
Em algorithms
Em(Expectation- maximization)
Fbp algorithms
Image reconstruction
Sparse data

Source Agency Non Paid ADAS
NTIS Subject Category 57E - Clinical Medicine
62 - Computers, Control & Information Theory
82B - Photographic Techniques & Equipment
Corporate Author Argonne National Lab., IL. Advanced Photon Source Div.
Document Type Journal article
Title Note Journal article.
NTIS Issue Number 1409
Contract Number BC083239 PC094510

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