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Reconstruction of the Treatment Area by Use of Sinogram in Helical Tomotherapy


A Haga

A Haga1* , K Nakagawa1 , C Maurer2 , K Ruchala2 , E Chao2 , D Casey2 , S Kida1 , D Sakata1 , T Magome1 , M Nakano1 , Y Masutani1 , (1) The University of Tokyo Hospital, Tokyo, (2) Accuray Co. , Madison,

Presentations

SU-E-J-203 Sunday 3:00PM - 6:00PM Room: Exhibit Hall

Purpose:
TomoTherapy (Accuray Co.) has an image-guided radiotherapy system with megavoltage (MV) X-ray source and the on-board imaging device. With the MV computed tomography (MVCT), it became feasible to perform the efficient daily-3D registration of the patient position before each treatment delivery. This system also allows one to acquire the delivery sinogram during the actual treatment, which partly includes the information of the irradiated object. In this study, we try to develop the image reconstruction during treatment in helical Tomotherapy.
Methods:
Sinogram data were acquired during helical Tomotherapy delivery using an arc-shaped detector array that consists of 738 xenon-gas filled detector cells. In preprocessing, these were normalized by 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 X-ray passing through its voxel (a ray-passing correction).
Results:
Without masking and ray-passing corrections, the image reconstruction was failed. The masking correction made the image clear, however, the streak artifact was accompanied. The ray-passing correction reduced this artifact. Although the SNR (the ratio of mean to standard deviation in homogeneous region) and the contrast of the reconstructed image were slightly improved with the ray-passing correction, the masking correction only is enough for the visualization purpose.
Conclusion:
The visualization of the treatment area was feasible by use of the sinogram in helical Tomotherapy. This proposed method can be utilized in the treatment verification.

Funding Support, Disclosures, and Conflict of Interest: This work was partly supported by JSPS KAKENHI 24234567. No COI, but the data in this paper were prepared by collaborators in Accuray.


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