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IMPROVEMENT OF DOSE CALCULATION ACCURACY ON kV CBCT IMAGES WITH CORRECTED ELECTRON DENSITY TO CT NUMBER CURVE
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논문 기본 정보

Type
Academic journal
Author
Ahn, Beom Seok (Department of Radiation Oncology, Seoul National University Hospital) Wu, Hong-Gyun (Department of Radiation Oncology, Seoul National University Hospital) Yoo, Sook Hyun (Department of Radiation Oncology, Seoul National University Hospital) Park, Jong Min (Department of Radiation Oncology, Seoul National University Hospital)
Journal
대한방사선방어학회 방사선방어학회지 방사선방어학회지 제40권 제1호
Published
2015.1
Pages
17 - 24 (8page)

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IMPROVEMENT OF DOSE CALCULATION ACCURACY ON kV CBCT IMAGES WITH CORRECTED ELECTRON DENSITY TO CT NUMBER CURVE
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To improve accuracy of dose calculation on kilovoltage cone beam computed tomography (kV CBCT) images, a custom-made phantom was fabricated to acquire an accurate CT number to electron density curve by full scatter of cone beam x-ray. To evaluate the dosimetric accuracy, 9 volumetric modulated arc therapy (VMAT) plans for head and neck (HN) cancer and 9 VMAT plans for lung cancer were generated with an anthropomorphic phantom. Both CT and CBCT images of the anthropomorphic phantom were acquired and dose-volumetric parameters on the CT images with CT density curve (CTCT), CBCT images with CT density curve ($CBCT_{CT}$) and CBCT images with CBCT density curve ($CBCT_{CBCT}$) were calculated for each VMAT plan. The differences between $CT_{CT}$ vs. $CBCT_{CT}$ were similar to those between $CT_{CT}$ vs. $CBCT_{CBCT}$ for HN VMAT plans. However, the differences between $CT_{CT}$ vs. $CBCT_{CT}$ were larger than those between $CT_{CT}$ vs. $CBCT_{CBCT}$ for lung VMAT plans. Especially, the differences in $D_{98%}$ and $D_{95%}$ of lung target volume were statistically significant (4.7% vs. 0.8% with p = 0.033 for $D_{98%}$ and 4.8% vs. 0.5% with p = 0.030 for $D_{95%}$). In order to calculate dose distributions accurately on the CBCT images, CBCT density curve generated with full scatter condition should be used especially for dose calculations in the region of large inhomogeneity.

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