Image reconstruction for a stationary digital breast tomosynthesis system
Proceedings of SPIE(2009)
摘要
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.
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关键词
algorithms,sensors,carbon nanotubes,image quality,image restoration,field emission,maximum likelihood,image reconstruction,carbon nanotube,iterative reconstruction
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