Title

Implementing user-defined atlas-based auto-segmentation for a large multi-centre organisation: the Australian Experience

RIS ID

140098

Publication Details

Hu, Y., Byrne, M., Archibald-Heeren, B., Thompson, K., Fong, A., Knesl, M., Teh, A., Tiong, E., Foster, R., Melnyk, P., Burr, M., Thompson, A., Lim, J., Moore, L., Gordon, F., Humble, R., Hardy, A. & Williams, S. (2019). Implementing user-defined atlas-based auto-segmentation for a large multi-centre organisation: the Australian Experience. Journal of Medical Radiation Sciences, Online First 1-12.

Abstract

Contouring has become an increasingly important aspect of radiation therapy due to inverse planning, and yet is extremely time-consuming. To improve contouring efficiency and reduce potential inter-observer variation, the atlas-based auto-segmentation (ABAS) function in Velocity was introduced to ICON cancer centres (ICC) throughout Australia as a solution for automatic contouring. Methods: This paper described the implementation process of the ABAS function and the construction of user-defined atlas sets and compared the contouring efficiency before and after the introduction of ABAS. Results: The results indicate that the main limitation to the ABAS performance was Velocity's sub-optimal atlas selection method. Three user-defined atlas sets were constructed. Results suggested that the introduction of the ABAS saved at least 5 minutes of manual contouring time (P < 0.05), although further verification was required due to limitations in the data collection method. The pilot rollout adopting a 'champion' approach was successful and provided an opportunity to improve the user-defined atlases prior to the national implementation. Conclusion: The implementation of user-defined ABAS for head and neck (H&N) and female thorax patients at ICCs was successful, which achieved at least 5 minutes of efficiency gain.

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Link to publisher version (DOI)

http://dx.doi.org/10.1002/jmrs.359