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ID 114750
Title Alternative
Fast Iterative Reconstruction in MVCT
Author
Ozaki, Sho The University of Tokyo
Chao, Edward Accuray Incorporated.
Maurer, Calvin Accuray Incorporated.
Nawa, Kanabu The University of Tokyo
Ohta, Takeshi The University of Tokyo
Nakamoto, Takahiro The University of Tokyo
Nozawa, Yuki The University of Tokyo
Magome, Taiki Komazawa University
Nakano, Masahiro Japanese Foundation for Cancer Research
Nakagawa, Keiichi The University of Tokyo
Keywords
Statistical iterative reconstruction
Fast reconstruction algorithm
Maximum a posteriori estimation
Megavoltage CT
Content Type
Journal Article
Description
Statistical iterative reconstruction is expected to improve the image quality of computed tomography (CT). However, one of the challenges of iterative reconstruction is its large computational cost. The purpose of this review is to summarize a fast iterative reconstruction algorithm by optimizing reconstruction parameters. Megavolt projection data was acquired from a TomoTherapy system and reconstructed using in-house statistical iterative reconstruction algorithm. Total variation was used as the regularization term and the weight of the regularization term was determined by evaluating signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and visual assessment of spatial resolution using Gammex and Cheese phantoms. Gradient decent with an adaptive convergence parameter, ordered subset expectation maximization (OSEM), and CPU/GPU parallelization were applied in order to accelerate the present reconstruction algorithm. The SNR and CNR of the iterative reconstruction were several times better than that of filtered back projection (FBP). The GPU parallelization code combined with the OSEM algorithm reconstructed an image several hundred times faster than a CPU calculation. With 500 iterations, which provided good convergence, our method produced a 512 × 512 pixel image within a few seconds. The image quality of the present algorithm was much better than that of FBP for patient data.
Journal Title
The Journal of Medical Investigation
ISSN
13496867
13431420
NCID
AA12022913
AA11166929
Publisher
Tokushima University Faculty of Medicine
Volume
67
Issue
1-2
Start Page
30
End Page
39
Sort Key
30
Published Date
2020-02
EDB ID
DOI (Published Version)
URL ( Publisher's Version )
FullText File
language
eng
TextVersion
Publisher
departments
Medical Sciences