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Proceedings Paper

Algebraic tomosynthesis reconstruction
Author(s): Beilei Wang; Kenneth Barner; Denny Lee
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Paper Abstract

In this paper, a fast, accurate and memory-saving Tomosynthesis algorithm is presented based on the Algebraic Reconstruction Technique (ART). In this approach, a one step ART iterative reconstruction takes the place of the commonly used two step Tomosynthesis reconstruction and deblurring processes. The weight matrix required by ART is calculated offline and saved in a look-up-table since the weight matrix will not change with the object if the acquisition geometries of the projections are fixed. This look-up-table speeds up the reconstruction procedure and the memory space is greatly reduced by using a compact weight matrix. A Bessel-Kaiser function is utilized in this algorithm as the pixel basis function, which improves the quality of the reconstruction over other commonly used basis functions. Simulation results show that the presented algorithm generates fast, accurate and memory-saving reconstructions of a three-dimensional object.

Paper Details

Date Published: 12 May 2004
PDF: 8 pages
Proc. SPIE 5370, Medical Imaging 2004: Image Processing, (12 May 2004); doi: 10.1117/12.534658
Show Author Affiliations
Beilei Wang, Univ. of Delaware (United States)
Kenneth Barner, Univ. of Delaware (United States)
Denny Lee, Direct Radiography Corp. (United States)


Published in SPIE Proceedings Vol. 5370:
Medical Imaging 2004: Image Processing
J. Michael Fitzpatrick; Milan Sonka, Editor(s)

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