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

Published

Journal Article

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 tumour 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.

Full Text

Duke Authors

Cited Authors

  • Guerrero, T; Zhang, G; Segars, W; Huang, T-C; Bilton, S; Ibbott, G; Dong, L; Forster, K; Lin, KP

Published Date

  • 2005

Published In

Volume / Issue

  • 115 / 1-4

Start / End Page

  • 497 - 502

PubMed ID

  • 16381774

Pubmed Central ID

  • 16381774

International Standard Serial Number (ISSN)

  • 0144-8420

Digital Object Identifier (DOI)

  • 10.1093/rpd/nci225

Language

  • eng

Conference Location

  • England