Lee Choonsik, Lodwick Daniel, Williams Jonathan L, Bolch Wesley E
Department of Nuclear and Radiological Engineering, University of Florida, Gainesville, Florida 32611, USA.
Med Phys. 2008 Jun;35(6):2366-82. doi: 10.1118/1.2912178.
Currently, two classes of the computational phantoms have been developed for dosimetry calculation: (1) stylized (or mathematical) and (2) voxel (or tomographic) phantoms describing human anatomy through mathematical surface equations and three-dimensional labeled voxel matrices, respectively. Mathematical surface equations in stylized phantoms provide flexibility in phantom design and alteration, but the resulting anatomical description is, in many cases, not very realistic. Voxel phantoms display far better anatomical realism, but they are limited in terms of their ability to alter organ shape, position, and depth, as well as body posture. A new class of computational phantoms--called hybrid phantoms-takes advantage of the best features of stylized and voxel phantoms-flexibility and anatomical realism, respectively. In the current study, hybrid computational phantoms representing reference 15-year male and female body anatomy and anthropometry are presented. For the male phantom, organ contours were extracted from the University of Florida (UF) 14-year series B male voxel phantom, while for the female phantom, original computed tomography (CT) data from two 14-year female patients were used. Polygon mesh models for the major organs and tissues were reconstructed for nonuniform rational B-spline (NURBS) surface modeling. The resulting NURBS/polygon mesh models representing body contour and internal anatomy were matched to anthropometric data and reference organ mass data provided by the Centers for Disease Control and Prevention (CDC) and the International Commission on Radiation Protection (ICRP), respectively. Finally, two hybrid 15-year male and female phantoms were completed where a total of eight anthropometric data categories were matched to standard values within 4% and organ masses matched to ICRP data within 1% with the exception of total skin. To highlight the flexibility of the hybrid phantoms, 10th and 90th weight percentile 15-year male and female phantoms were further developed from the 50th percentile phantoms through adjustments in the body contour to match the total body masses given in CDC pediatric growth curves. The resulting six NURBS phantoms, male and female phantoms representing their 10th, 50th, and 90th weight percentiles, were used to investigate the influence of body fat distributions on internal organ doses following CT imaging. The phantoms were exposed to multislice chest and abdomen helical CT scans, and in-field organ absorbed doses were calculated. The results demonstrated that the use of traditional stylized phantoms yielded organ dose estimates that deviate from those given by the UF reference hybrid phantoms by up to a factor of 2. The study also showed that use of reference, or 50th percentile, phantoms to assess organ doses in underweight 15-year-old children would not lead to significant organ dose errors (typically less than 10%). However, more significant errors were noted (up to approximately 30%) when reference phantoms are used to represent overweight children in CT imaging dosimetry. These errors are expected to only further increase as one considers CT organ doses in overweight and obese individuals of the adult patient population, thus emphasizing the advantages of patient-sculptable phantom technology.
目前,已开发出两类用于剂量计算的计算体模:(1)理想化(或数学化)体模,以及(2)体素(或断层扫描)体模,它们分别通过数学表面方程和三维标记体素矩阵来描述人体解剖结构。理想化体模中的数学表面方程在体模设计和变更方面提供了灵活性,但在许多情况下,由此产生的解剖结构描述并不十分逼真。体素体模展现出更好的解剖逼真度,但在改变器官形状、位置、深度以及身体姿势的能力方面存在局限。一类新的计算体模——称为混合体模——分别利用了理想化体模和体素体模的最佳特性,即灵活性和解剖逼真度。在本研究中,展示了代表15岁男性和女性身体解剖结构及人体测量数据的混合计算体模。对于男性体模,器官轮廓是从佛罗里达大学(UF)14岁B系列男性体素体模中提取的,而对于女性体模,则使用了两名14岁女性患者的原始计算机断层扫描(CT)数据。为进行非均匀有理B样条(NURBS)表面建模,重建了主要器官和组织的多边形网格模型。所得代表身体轮廓和内部解剖结构的NURBS/多边形网格模型分别与疾病控制与预防中心(CDC)和国际辐射防护委员会(ICRP)提供的人体测量数据及参考器官质量数据进行了匹配。最后,完成了两个15岁男性和女性混合体模,其中共有八类人体测量数据与标准值的匹配度在4%以内,除了总皮肤外,器官质量与ICRP数据的匹配度在1%以内。为突出混合体模的灵活性,通过调整身体轮廓,使其与CDC儿童生长曲线中给出的总体重相匹配,从第50百分位数体模进一步开发出第10和第90体重百分位数的15岁男性和女性体模。所得的六个NURBS体模,即代表第10、第50和第90体重百分位数的男性和女性体模,用于研究CT成像后身体脂肪分布对内部器官剂量的影响。这些体模接受了多层胸部和腹部螺旋CT扫描,并计算了野内器官吸收剂量。结果表明,使用传统理想化体模得出的器官剂量估计值与UF参考混合体模给出的值相差高达2倍。该研究还表明,使用参考体模(即第50百分位数体模)来评估15岁体重过轻儿童的器官剂量不会导致显著的器官剂量误差(通常小于10%)。然而,当在CT成像剂量测定中使用参考体模来代表超重儿童时,会出现更显著的误差(高达约30%)。随着考虑成年患者群体中超重和肥胖个体的CT器官剂量,预计这些误差只会进一步增加,从而突出了可根据患者定制体模技术的优势。