Elastic image mapping for 4-D dose estimation in thoracic radiotherapy

被引:35
作者
Guerrero, T
Zhang, G
Segars, W
Huang, TC
Bilton, S
Ibbott, G
Doug, L
Forster, K
Lin, KP
机构
[1] Univ Texas, MD Anderson Canc Ctr, Dept Radiat Oncol, Houston, TX 77030 USA
[2] Univ Texas, MD Anderson Canc Ctr, Dept Radiat Phys, Houston, TX 77030 USA
[3] Johns Hopkins Univ, Sch Med, Dept Radiol, Baltimore, MD USA
[4] Natl Chung Yuan Univ, Dept Elect Engn, Taipei, Taiwan
关键词
D O I
10.1093/rpd/nci225
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Purpose: Demonstrate the path integration of a four-dimensional (4-D) dose distribution onto the 3-D anatomy. Materials and Methods: A computer-generated 4-D thoracic phantom with a lung tumour was constructed. Eight respiratory phases were generated. A radiotherapy treatment plan was applied to all the phases resulting in a 4-D dose distribution. An elastic image registration algorithm was used to find the vector displacement between all the image elements and the end expiration phase. The path-integrated tissue dose distribution and each component dose distribution were compared with the planned dose distribution. Results: Numerical path integration was performed to calculate the tissue dose distribution. Loss of turnout coverage was the predominant effect observed with tumour motion in this study. The loss was asymmetric and dependent on the tumour trajectory. Conclusion: The elastic image registration allowed an accurate path integration through a 4-D data set to produce an accurate 3-D tissue dose estimate.
引用
收藏
页码:497 / 502
页数:6
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