Suppr超能文献

基于位移矢量场确定的优化 IGRT 校正矢量:重新规划决策辅助工具的原理证明。

An optimised IGRT correction vector determined from a displacement vector field: a proof of principle of a decision-making aid for re-planning.

机构信息

Department of Medical Physics in Radiation Oncology, DKFZ , Heidelberg , Germany.

出版信息

Acta Oncol. 2014 Jan;53(1):33-9. doi: 10.3109/0284186X.2013.790559. Epub 2013 Apr 25.

Abstract

BACKGROUND

To present a new method that determines an optimised IGRT couch correction vector from a displacement vector field (DVF). The DVF is computed by a deformable image registration (DIR) method. The proposed method can improve the quality of volume-of-interest (VOI) alignment in image guided radiation therapy (IGRT), and can serve as a decision-making aid for re-planning.

MATERIAL AND METHODS

The proposed method was demonstrated using the CT data sets of 11 head-and-neck cancer patients with daily kilovoltage control-CTs. A DVF was computed for each control-CT using a DIR method. The DVF was used for voxel tracking and re-contouring of the VOIs in the control-CTs. Then a rigid body transformation, which could be used as couch correction vector, was optimised. The aim of the optimisation process was to find a vector and rotations that map the deformed VOIs into a specified territory. This territory was defined by a margin extension of the VOIs at the time of the planning process. Within this extension, VOI motion and deformation was tolerated. The objective function in the optimisation process was the sum of all volume fractions outside the defined territories.

RESULTS

The proposed method was able to find a correction vector, which resulted in a coverage of the target volumes of at least 98% in 52.3% of all fractions. In contrast, a standard IGRT correction using a rigid registration method only fulfilled this criterion in 22.6% of all fractions. The optimisation process took an average of 1.5 minutes per fraction.

CONCLUSION

The knowledge of the deformation of the anatomy allows the determination of an optimised rigid correction vector using our method. The method ensures controlled mapping of the VOIs despite small deformations. If no optimised vector can be determined, re-planning should be considered. Thus, our method can also serve as a decision-making aid for re-planning.

摘要

背景

提出一种从位移矢量场(DVF)确定优化的 IGRT 治疗床校正矢量的新方法。该 DVF 通过变形图像配准(DIR)方法计算。所提出的方法可以提高图像引导放射治疗(IGRT)中感兴趣体积(VOI)配准的质量,并可作为重新计划的决策辅助。

材料和方法

使用 11 例头颈部癌症患者的 CT 数据集演示了所提出的方法,这些患者每天进行千伏级控制 CT。使用 DIR 方法为每个对照 CT 计算一个 DVF。该 DVF 用于控制 CT 中 VOI 的体素跟踪和重新轮廓。然后优化了可以用作治疗床校正矢量的刚体变换。优化过程的目的是找到一个矢量和旋转,将变形的 VOI 映射到指定的区域。该区域由规划过程中 VOI 扩展的边缘定义。在此扩展范围内,可以容忍 VOI 运动和变形。优化过程中的目标函数是定义区域之外的所有体积分数的总和。

结果

该方法能够找到一个校正矢量,该矢量在 52.3%的分数中至少覆盖了 98%的目标体积。相比之下,使用刚性注册方法的标准 IGRT 校正仅在 22.6%的分数中满足此标准。优化过程平均每个分数需要 1.5 分钟。

结论

对解剖结构变形的了解允许使用我们的方法确定优化的刚性校正矢量。该方法确保了尽管存在小的变形,但 VOI 的受控映射。如果无法确定优化的矢量,则应考虑重新计划。因此,我们的方法也可以作为重新计划的决策辅助。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验