Algebraic tomosynthesis reconstruction

Beilei Wang; Kenneth Barner; Denny Lee

doi:10.1117/12.534658

12 May 2004 Algebraic tomosynthesis reconstruction

Beilei Wang, Kenneth Barner, Denny Lee

Proceedings Volume 5370, Medical Imaging 2004: Image Processing; (2004) https://doi.org/10.1117/12.534658
Event: Medical Imaging 2004, 2004, San Diego, California, United States

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.

Citation Download Citation

Beilei Wang, Kenneth Barner, and Denny Lee "Algebraic tomosynthesis reconstruction", Proc. SPIE 5370, Medical Imaging 2004: Image Processing, (12 May 2004); https://doi.org/10.1117/12.534658

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