Rosu Mihaela, Chetty Indrin J, Balter James M, Kessler Marc L, McShan Daniel L, Ten Haken Randall K
Department of Radiation Oncology, The University of Michigan, Ann Arbor, Michigan 48109-0010, USA.
Med Phys. 2005 Aug;32(8):2487-95. doi: 10.1118/1.1949749.
In this study we investigated the accumulation of dose to a deforming anatomy (such as lung) based on voxel tracking and by using time weighting factors derived from a breathing probability distribution function (p.d.f.). A mutual information registration scheme (using thin-plate spline warping) provided a transformation that allows the tracking of points between exhale and inhale treatment planning datasets (and/or intermediate state scans). The dose distributions were computed at the same resolution on each dataset using the Dose Planning Method (DPM) Monte Carlo code. Two accumulation/interpolation approaches were assessed. The first maps exhale dose grid points onto the inhale scan, estimates the doses at the "tracked" locations by trilinear interpolation and scores the accumulated doses (via the p.d.f.) on the original exhale data set. In the second approach, the "volume" associated with each exhale dose grid point (exhale dose voxel) is first subdivided into octants, the center of each octant is mapped to locations on the inhale dose grid and doses are estimated by trilinear interpolation. The octant doses are then averaged to form the inhale voxel dose and scored at the original exhale dose grid point location. Differences between the interpolation schemes are voxel size and tissue density dependent, but in general appear primarily only in regions with steep dose gradients (e.g., penumbra). Their magnitude (small regions of few percent differences) is less than the alterations in dose due to positional and shape changes from breathing in the first place. Thus, for sufficiently small dose grid point spacing, and relative to organ motion and deformation, differences due solely to the interpolation are unlikely to result in clinically significant differences to volume-based evaluation metrics such as mean lung dose (MLD) and tumor equivalent uniform dose (gEUD). The overall effects of deformation vary among patients. They depend on the tumor location, field size, volume expansion, tissue heterogeneity, and direction of tumor displacement with respect to the beam, and are more likely to have an impact on serial organs (such as esophagus), rather than on large parallel organs (such as lung).
在本研究中,我们基于体素追踪并通过使用从呼吸概率分布函数(p.d.f.)导出的时间加权因子,研究了对变形解剖结构(如肺部)的剂量累积情况。一种互信息配准方案(使用薄板样条变形)提供了一种变换,该变换允许在呼气和吸气治疗计划数据集(和/或中间状态扫描)之间追踪点。使用剂量规划方法(DPM)蒙特卡罗代码在每个数据集上以相同分辨率计算剂量分布。评估了两种累积/插值方法。第一种方法是将呼气剂量网格点映射到吸气扫描上,通过三线性插值估计“追踪”位置处的剂量,并在原始呼气数据集上对累积剂量(通过p.d.f.)进行评分。在第二种方法中,首先将与每个呼气剂量网格点(呼气剂量体素)相关的“体积”细分为八分圆,将每个八分圆的中心映射到吸气剂量网格上的位置,并通过三线性插值估计剂量。然后将八分圆剂量平均以形成吸气体素剂量,并在原始呼气剂量网格点位置进行评分。插值方案之间的差异取决于体素大小和组织密度,但一般主要出现在剂量梯度陡峭的区域(如半影)。它们的幅度(差异为百分之几的小区域)小于由于呼吸导致的位置和形状变化所引起的剂量改变。因此,对于足够小的剂量网格点间距,并且相对于器官运动和变形而言,仅由插值引起的差异不太可能导致与基于体积的评估指标(如平均肺剂量(MLD)和肿瘤等效均匀剂量(gEUD))产生临床上显著的差异。变形的总体影响因患者而异。它们取决于肿瘤位置、射野大小、体积膨胀、组织异质性以及肿瘤相对于射束的位移方向,并且更有可能对串联器官(如食管)产生影响,而不是对大型平行器官(如肺)产生影响。