Pekar Vladimir, McNutt Todd R, Kaus Michael R
Philips Research Laboratories, Sector Technical Systems, Röntgenstrasse 14-16, D-22335 Hamburg, Germany.
Int J Radiat Oncol Biol Phys. 2004 Nov 1;60(3):973-80. doi: 10.1016/j.ijrobp.2004.06.004.
Organ delineation is one of the most tedious and time-consuming parts of radiotherapy planning. It is usually performed by manual contouring in two-dimensional slices using simple drawing tools, and it may take several hours to delineate all structures of interest in a three-dimensional (3D) data set used for planning. In this paper, a 3D model-based approach to automated organ delineation is introduced that allows for a significant reduction of the time required for contouring.
The presented method is based on an adaptation of 3D deformable surface models to the boundaries of the anatomic structures of interest. The adaptation is based on a tradeoff between deformations of the model induced by its attraction to certain image features and the shape integrity of the model. To make the concept clinically feasible, interactive tools are introduced that allow quick correction in problematic areas in which the automated model adaptation may fail. A feasibility study with 40 clinical data sets was done for the male pelvic area, in which the risk organs (bladder, rectum, and femoral heads) were segmented by automatically adapting the corresponding organ models.
In several cases of the validation study, minor user interaction was required. Nevertheless, a statistically significant reduction in the time required compared with manual organ contouring was achieved. The results of the validation study showed that the presented model-based approach is accurate (1.0-1.7 mm mean error) for the tested anatomic structures.
A framework for organ delineation in radiotherapy planning is presented, including automated 3D model-based segmentation, as well as tools for interactive corrections. We demonstrated that the proposed approach is significantly more efficient than manual contouring in two-dimensional slices.
器官轮廓勾画是放射治疗计划中最繁琐且耗时的部分之一。通常是在二维切片中使用简单绘图工具进行手动轮廓勾画,对于用于计划的三维(3D)数据集中所有感兴趣的结构进行轮廓勾画可能需要数小时。本文介绍了一种基于3D模型的自动器官轮廓勾画方法,该方法可显著减少轮廓勾画所需的时间。
所提出的方法基于将3D可变形表面模型应用于感兴趣的解剖结构边界。这种应用基于模型对某些图像特征的吸引力所引起的变形与模型形状完整性之间的权衡。为使该概念在临床上可行,引入了交互式工具,可在自动模型应用可能失败的问题区域进行快速校正。针对男性盆腔区域进行了一项包含40个临床数据集的可行性研究,通过自动适配相应器官模型对危险器官(膀胱、直肠和股骨头)进行分割。
在验证研究的多个案例中,仅需少量用户交互。然而,与手动器官轮廓勾画相比,所需时间实现了统计学上的显著减少。验证研究结果表明,所提出的基于模型的方法对于测试的解剖结构具有较高的准确性(平均误差为1.0 - 1.7毫米)。
提出了一种放射治疗计划中器官轮廓勾画的框架,包括基于3D模型的自动分割以及交互式校正工具。我们证明了所提出的方法比二维切片中的手动轮廓勾画效率显著更高。