en Radiation Biology Radiation Biology تحقيق بديع Original Research <span style="font-weight: bold">Background: </span>Accurate voxel phantom is needed for dosimetric simulation in radiation therapy for malignant tumors in female pelvic region. However, most of the existing voxel phantoms are constructed on the basis of Caucasian or non-Chinese population. <span style="font-weight: bold">Materials and Methods:</span> A computational framework for constructing female pelvic voxel phantom for radiation dosimetry was performed based on Chinese Visible Human (CVH) datasets. First, several organs within pelvic region were segmented from CVH datasets. Then, polygonization and voxelization were performed based on the segmented organs and a 3D computational phantom is built in the form of a set of voxel arrays. <span style="font-weight: bold">Results:</span> The generated phantom can be converted and loaded into treatment planning system for radiation dosimetry calculation. From the observed dosimetric results of those organs and structures, we can evaluate their absorbed dose and implement some simulation studies. <span style="font-weight: bold">Conclusion: </span>A voxel female pelvic phantom was developed from CVH datasets. It can be utilized for dosimetry evaluation and planning simulation, which would be very helpful to improve the clinical performance and reduce the radiation toxicity on organ at risk (OAR). Iran. J. Radiat. Res., 2010 8 (2): 87-91 Phantom, pelvis, radiation, dosimetry, simulation. 87 91 http://ijrr.com/browse.php?a_code=A-10-1-355&slc_lang=en&sid=1 H. Nan 790031947532846001822 790031947532846001822 No S. Jinlu 790031947532846001953 790031947532846001953 No Z. Shaoxiang 790031947532846001954 790031947532846001954 No H. Qing 790031947532846001955 790031947532846001955 No T. Li-wen 790031947532846001956 790031947532846001956 No G. Chengjun 790031947532846001957 790031947532846001957 No X. Tang 790031947532846001958 790031947532846001958 No S.B. Jiang 790031947532846001959 790031947532846001959 No Z. Xiao-lin zxlcqu@yahoo.com 790031947532846001960 790031947532846001960 Yes