Fast, accurate and memory-saving ART based tomosynthesis

Author

Wang, Beilei ; Bamer, K.

Author_Institution

Dept. of Electr. & Comput. Eng., Delaware Univ., Newark, DE, USA

fYear

2003

Firstpage

61

Lastpage

62

Abstract

A fast, accurate and memory-saving tomosynthesis algorithm is presented based on the algebraic reconstruction technique (ART). In this approach, nonzero weights are calculated and saved in a compact look-up table in advance, which speeds up the reconstruction and greatly reduces the memory space. A Bessel-Kaiser function is used to significantly improve the reconstruction quality. Simulation results show that the proposed method makes a fast, accurate and memory-saving reconstruction of a 3D object.

Keywords

Bessel functions; diagnostic radiography; image reconstruction; medical image processing; table lookup; 3D object; 3D radiographic imaging technique; Bessel-Kaiser function; algebraic reconstruction technique; compact look-up table; fast accurate memory-saving tomosynthesis algorithm; memory space; nonzero weights; reconstruction quality; simulation results; Difference equations; Distortion measurement; Image reconstruction; Integral equations; Iterative algorithms; Least squares methods; Radiography; Subspace constraints; Table lookup;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioengineering Conference, 2003 IEEE 29th Annual, Proceedings of

Print_ISBN

0-7803-7767-2

Type

conf

DOI

10.1109/NEBC.2003.1215992

Filename

1215992