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Reconstruction of the treatment area by use of sinogram in helical tomotherapy

Overview of attention for article published in Radiation Oncology, November 2014
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Title
Reconstruction of the treatment area by use of sinogram in helical tomotherapy
Published in
Radiation Oncology, November 2014
DOI 10.1186/s13014-014-0252-0
Pubmed ID
Authors

Akihiro Haga, Keiichi Nakagawa, Calvin Maurer, Ken Ruchala, Edward Chao, Dylan Casey, Satoshi Kida, Dousatsu Sakata, Masahiro Nakano, Taiki Magome, Yoshitaka Masutani

Abstract

BackgroundTomoTherapy (Accuray, USA) has an image-guided radiotherapy system with a megavoltage (MV) X-ray source and an on-board imaging device. This system allows one to acquire the delivery sinogram during the actual treatment, which partly includes information from the irradiated object. In this study, we try to develop image reconstruction during treatment with helical tomotherapy.FindingsSinogram data were acquired during helical tomotherapy delivery using an arc-shaped detector array that consists of 576 xenon-gas filled detector cells. In preprocessing, these were normalized with full air-scan data. A software program was developed that reconstructs 3D images during treatment with corrections as; (1) the regions outside the field were masked not to be added in the backprojection (a masking correction), and (2) each voxel of the reconstructed image was divided by the number of the beamlets passing through its voxel (a ray-passing correction).The masking correction produced a reconstructed image, however, it contained streak artifacts. The ray-passing correction reduced this artifact. Although the SNR (the ratio of mean to standard deviation in a homogeneous region) and the contrast of the reconstructed image were slightly improved with the ray-passing correction, use of only the masking correction was sufficient for the visualization purpose.ConclusionsThe visualization of the treatment area was feasible by using the sinogram in helical tomotherapy. This proposed method would be useful in the treatment verification.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Iran, Islamic Republic of 1 7%
Unknown 14 93%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 27%
Student > Ph. D. Student 3 20%
Researcher 2 13%
Professor 1 7%
Student > Bachelor 1 7%
Other 1 7%
Unknown 3 20%
Readers by discipline Count As %
Medicine and Dentistry 5 33%
Physics and Astronomy 2 13%
Agricultural and Biological Sciences 1 7%
Arts and Humanities 1 7%
Computer Science 1 7%
Other 0 0%
Unknown 5 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 November 2014.
All research outputs
#20,245,139
of 22,772,779 outputs
Outputs from Radiation Oncology
#1,675
of 2,050 outputs
Outputs of similar age
#303,055
of 361,884 outputs
Outputs of similar age from Radiation Oncology
#67
of 85 outputs
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We're also able to compare this research output to 85 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.