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Proceedings Paper

Image reconstruction for a stationary digital breast tomosynthesis system
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Paper Abstract

We have designed and built a stationary digital breast tomosynthesis (DBT) system containing a carbon nanotube based field emission x-ray source array to examine the possibility of obtaining a reduced scan time and improved image quality compared to conventional DBT systems. There are 25 individually addressable x-ray sources in our linear source array that are evenly angularly spaced to cover an angle of 48°. The sources are turned on sequentially during imaging and there is no motion of either the source or the detector. We present here an iterative reconstruction method based on a modified Ordered-Subset Convex (MOSC) algorithm that was employed for the reconstruction of images from the new DBT system. Using this algorithm based on a maximum-likelihood model, we reconstruct on non-cubic voxels for increased computational efficiency resulting in high in-plane resolution in the images. We have applied the reconstruction technique on simulated and phantom data from the system. Even without the use of the subsets, the reconstruction of an experimental 9-beam system with 960×768 pixels took less than 6 minutes (10 iterations). The projection images of a simulated mammography accreditation phantom were reconstructed using MOSC and a Simultaneous Algebraic Reconstruction technique (SART) and the results from the comparison between the two algorithms allow us to conclude that the MOSC is capable of delivering excellent image quality when used in tomosynthesis image reconstruction.

Paper Details

Date Published: 13 March 2009
PDF: 9 pages
Proc. SPIE 7258, Medical Imaging 2009: Physics of Medical Imaging, 72582L (13 March 2009); doi: 10.1117/12.811649
Show Author Affiliations
Ramya Rajaram, The Univ. of North Carolina at Chapel Hill (United States)
Guang Yang, The Univ. of North Carolina at Chapel Hill (United States)
Enzhuo Quan, North Carolina State Univ. (United States)
The Univ. of North Carolina at Chapel Hill (United States)
Brandon Frederick, North Carolina State Univ. (United States)
The Univ. of North Carolina at Chapel Hill (United States)
David S. Lalush, North Carolina State Univ. (United States)
The Univ. of North Carolina at Chapel Hill (United States)
Otto Z. Zhou, The Univ. of North Carolina at Chapel Hill (United States)


Published in SPIE Proceedings Vol. 7258:
Medical Imaging 2009: Physics of Medical Imaging
Ehsan Samei; Jiang Hsieh, Editor(s)

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