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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
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% |