1. Implementing user‐defined atlas‐based auto‐segmentation for a large multi‐centre organisation: the Australian Experience
- Author
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Yunfei Hu, Mikel Byrne, Ben Archibald‐Heeren, Kenton Thompson, Andrew Fong, Marcel Knesl, Amy Teh, Eve Tiong, Richard Foster, Paul Melnyk, Michelle Burr, Amelia Thompson, Jiy Lim, Luke Moore, Fiona Gordon, Rylie Humble, Anna Hardy, and Saul Williams
- Subjects
Atlas‐based auto‐segmentation ,contouring ,efficiency gain ,multi‐centre organisation ,radiotherapy ,Medical physics. Medical radiology. Nuclear medicine ,R895-920 - Abstract
Abstract Introduction 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
- Published
- 2019
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