Line-Source Based X-Ray Tomography | Zendy

Deepak Bharkhada | Zendy; Hengyong Yu | Zendy; Hong Liu | Zendy; Robert J. Plemmons | Zendy; Ge Wang | Zendy

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Line-Source Based X-Ray Tomography

Author(s) -

Deepak Bharkhada,

Hengyong Yu,

Hong Liu,

Robert J. Plemmons,

Ge Wang

Publication year - 2009

Publication title -

international journal of biomedical imaging

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.626

H-Index - 41

eISSN - 1687-4196

pISSN - 1687-4188

DOI - 10.1155/2009/534516

Subject(s) - computer science , projection (relational algebra) , tomography , line (geometry) , line source , iterative reconstruction , algorithm , point (geometry) , computer vision , point source , artificial intelligence , physics , optics , mathematics , geometry

Current computed tomography (CT) scanners, including micro-CT scanners, utilize a point x-ray source. As we target higher and higher spatial resolutions, the reduced x-ray focal spot size limits the temporal and contrast resolutions achievable. To overcome this limitation, in this paper we propose to use a line-shaped x-ray source so that many more photons can be generated, given a data acquisition interval. In reference to the simultaneous algebraic reconstruction technique (SART) algorithm for image reconstruction from projection data generated by an x-ray point source, here we develop a generalized SART algorithm for image reconstruction from projection data generated by an x-ray line source. Our numerical simulation results demonstrate the feasibility of our novel line-source based x-ray CT approach and the proposed generalized SART algorithm.

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